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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Surg.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Surgery</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Surg.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-875X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsurg.2025.1597407</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Wall shear stress and oscillatory shear index measured using ultrasound vector flow imaging in the femoropopliteal artery of adults without peripheral artery disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Gao</surname><given-names>Meiying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<xref ref-type="author-notes" rid="fn001"><sup>&#x2021;</sup></xref>
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<name><surname>Zheng</surname><given-names>Haining</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref>
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<name><surname>Zhao</surname><given-names>Rui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2021;</sup></xref>
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<name><surname>Liu</surname><given-names>Yan</given-names></name>
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<name><surname>Fang</surname><given-names>Lizhu</given-names></name>
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<name><surname>Du</surname><given-names>Yigang</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2021;</sup></xref>
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<name><surname>Wen</surname><given-names>Chaoyang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Tong</surname><given-names>Yisha</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Ultrasound, Peking University International Hospital</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Ultrasound, Guang&#x2019;anmen Hospital, China Academy of Chinese Medical Sciences</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Ultrasound R&#x0026;D Department, Shenzhen Mindray Bio-Medical Electronics Co., Ltd.</institution>, <city>Shenzhen</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Vascular Surgery, Austin Hospital, University of Melbourne</institution>, <city>Melbourne</city>, <state>VIC</state>, <country country="au">Australia</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Chaoyang Wen <email xlink:href="mailto:wencypkuih@163.com">wencypkuih@163.com</email> Yisha Tong <email xlink:href="mailto:yisha.tong@austin.org.au">yisha.tong@austin.org.au</email></corresp>
<fn fn-type="equal" id="an1"><label>&#x2020;</label><p>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn001"><label>&#x2021;</label><p>ORCID Meiying Gao <uri xlink:href="https://orcid.org/0000-0002-9541-1587">orcid.org/0000-0002-9541-1587</uri> Haining Zheng <uri xlink:href="https://orcid.org/0000-0002-8837-2727">orcid.org/0000-0002-8837-2727</uri> Rui Zhao <uri xlink:href="https://orcid.org/0000-0002-4467-5128">orcid.org/0000-0002-4467-5128</uri> Yan Liu <uri xlink:href="https://orcid.org/0009-0004-0549-5214">orcid.org/0009-0004-0549-5214</uri> Yigang Du <uri xlink:href="https://orcid.org/0000-0002-6194-8503">orcid.org/0000-0002-6194-8503</uri> Chaoyang Wen <uri xlink:href="https://orcid.org/0000-0002-8659-0085">orcid.org/0000-0002-8659-0085</uri> Yisha Tong <uri xlink:href="https://orcid.org/0000-0003-3629-4752">orcid.org/0000-0003-3629-4752</uri></p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-10-27"><day>27</day><month>10</month><year>2025</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2025</year></pub-date>
<volume>12</volume><elocation-id>1597407</elocation-id>
<history>
<date date-type="received"><day>03</day><month>04</month><year>2025</year></date>
<date date-type="accepted"><day>07</day><month>10</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Gao, Zheng, Zhao, Liu, Fang, Du, Wen and Tong.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Gao, Zheng, Zhao, Liu, Fang, Du, Wen and Tong</copyright-holder><license><ali:license_ref start_date="2025-10-27">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p></license>
</permissions>
<abstract><sec><title>Objective</title>
<p>To measure wall shear stress (WSS), oscillatory shear index (OSI) and relative residence time (RRT) at multiple locations along the femoropopliteal artery in adults without peripheral artery disease (PAD), and to investigate whether low WSS, high OSI and/or high RRT are present in regions with a high prevalence of atherosclerotic lesions.</p>
</sec><sec><title>Materials and methods</title>
<p>A total of 116 presumed healthy adult volunteers were recruited. Ankle-brachial index and lower-limb arterial duplex ultrasound assessments were performed to exclude participants with PAD. Maximum WSS, mean WSS, and OSI were measured at the near and far walls of ten arterial sites along the femoropopliteal artery using ultrasound vector flow imaging (VFI). RRT was calculated from OSI and mean WSS values obtained via VFI.</p>
</sec><sec><title>Results</title>
<p>A total of 113 participants (46 males and 67 females; 222 lower limbs), with a mean age of 37.6 years, were included in the analysis. Compared to the overall mean values across all 20 measurement sites, significantly higher OSI and higher RRT were recorded at the posterior wall of the common femoral artery (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.01), while significantly lower WSS, higher OSI, and higher RRT were observed at the posterior wall of the femoral artery bifurcation (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.01). The distal superficial femoral artery (SFA) at the adductor canal demonstrated significantly lower WSS and higher OSI at both near and far walls (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.01). When comparing hemodynamic indices between sexes, males exhibited significantly lower WSS at several near-wall sites, significantly higher OSI at multiple near- and far-wall sites, and significantly higher RRT at the near wall of the proximal SFA and the far wall of the profunda femoris artery (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
</sec><sec><title>Conclusions</title>
<p>Variations in WSS, OSI, and RRT are evident along the femoropopliteal artery in adults without PAD. Notably, the distal SFA at the adductor canal demonstrated significantly lower and more oscillatory WSS, consistent with the region&#x0027;s reported high prevalence of atherosclerotic plaque and occlusion. Whether these hemodynamic patterns contribute to lesion development later in life remains uncertain and warrants further investigation.</p>
</sec>
</abstract>
<kwd-group>
<kwd>atherosclerosis</kwd>
<kwd>femoropopliteal artery</kwd>
<kwd>occlusion</kwd>
<kwd>oscillatory shear index</kwd>
<kwd>plaque</kwd>
<kwd>relative residence time</kwd>
<kwd>ultrasound</kwd>
<kwd>vector flow imaging</kwd>
</kwd-group><funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>National Natural Science Foundation of China</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100001809</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp1">81771833</award-id>
</award-group>
<award-group id="gs2">
<funding-source id="sp2">
<institution-wrap>
<institution>Peking University International Hospital Research Foundation</institution>
</institution-wrap>
</funding-source>
<award-id rid="sp2">YN2022QN08</award-id>
</award-group>
<funding-statement>The author(s) declare financial support was received for the research and/or publication of this article. This work was, in part, supported by the National Natural Science Foundation of China (Grant No. 81771833), and the Peking University International Hospital Research Foundation (Grant No. YN2022QN08).</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/><equation-count count="8"/><ref-count count="44"/><page-count count="11"/><word-count count="47854"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Vascular Surgery</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Atherosclerosis is a systemic arterial disease affecting multiple vascular territories, including the coronary, carotid, renal, and lower limb arteries, and is the leading cause of mortality and morbidity worldwide (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). The development of atherosclerotic plaques is a complex, multifactorial process influenced by systemic factors, local hemodynamic forces, and the arterial wall&#x0027;s biological response to these factors (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Wall shear stress (WSS) refers to the tangential force per unit area exerted by blood flow on the endothelial surface of the vessel wall and arises from friction between blood flow and the arterial wall (<xref ref-type="disp-formula" rid="disp-formula1">Equation&#x00A0;1</xref>), reflecting both the intensity and direction of blood flow near the wall. WSS is the primary hemodynamic factor influencing the development and progression of atherosclerosis. Low and oscillatory WSS are strongly associated with atherosclerotic plaque formation (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>).<disp-formula id="disp-formula1"><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM1"><mml:mrow><mml:mi mathvariant="normal">WSS</mml:mi></mml:mrow><mml:mo>=</mml:mo><mml:mi>&#x03BC;</mml:mi><mml:msub><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">&#x2202;</mml:mi><mml:mi>u</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">&#x2202;</mml:mi><mml:mi>n</mml:mi></mml:mrow></mml:mfrac></mml:mrow></mml:mstyle></mml:mrow><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">wall</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math>
<label>(1)</label>
</disp-formula>Where: <italic>&#x03BC;</italic> is the dynamic viscosity of blood, and <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM1"><mml:mrow><mml:mfrac><mml:mrow><mml:mi mathvariant="normal">&#x2202;</mml:mi><mml:mi>u</mml:mi></mml:mrow><mml:mrow><mml:mi mathvariant="normal">&#x2202;</mml:mi><mml:mi>n</mml:mi></mml:mrow></mml:mfrac></mml:mrow></mml:math></inline-formula> is the velocity gradient perpendicular to the wall. The subscript &#x201C;wall&#x201D; denotes that the shear stress is measured on the vessel wall.</p>
<p>Oscillatory shear index (OSI) is a dimensionless parameter quantifying the variation in WSS vector direction during a cardiac cycle (<xref ref-type="disp-formula" rid="disp-formula2">Equation&#x00A0;2</xref>), ranging from 0 (purely unidirectional flow) to 0.5 (purely oscillatory flow). A high OSI indicates greater directional oscillation. Elevated OSI values are linked to disturbed, oscillatory flow, with localized zones often corresponding to sites prone to atherosclerosis (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>).<disp-formula id="disp-formula2"><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM2"><mml:mrow><mml:mi mathvariant="normal">OSI</mml:mi></mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mn>1</mml:mn><mml:mn>2</mml:mn></mml:mfrac></mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mrow><mml:mrow><mml:mo>|</mml:mo><mml:mrow><mml:msubsup><mml:mo>&#x222B;</mml:mo><mml:mn>0</mml:mn><mml:mi>T</mml:mi></mml:msubsup><mml:mrow><mml:msub><mml:mrow><mml:mrow><mml:mover><mml:mi>&#x03C4;</mml:mi><mml:mo stretchy="false">&#x2192;</mml:mo></mml:mover></mml:mrow></mml:mrow><mml:mi>w</mml:mi></mml:msub><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo stretchy="false">)</mml:mo><mml:mi>d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:mrow><mml:mo>|</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mrow><mml:msubsup><mml:mo>&#x222B;</mml:mo><mml:mn>0</mml:mn><mml:mi>T</mml:mi></mml:msubsup><mml:mrow><mml:mo fence="false" stretchy="false">|</mml:mo><mml:mrow><mml:msub><mml:mrow><mml:mrow><mml:mover><mml:mi>&#x03C4;</mml:mi><mml:mo stretchy="false">&#x2192;</mml:mo></mml:mover></mml:mrow></mml:mrow><mml:mi>w</mml:mi></mml:msub><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo fence="false" stretchy="false">|</mml:mo><mml:mi>d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:mrow></mml:mrow></mml:mfrac></mml:mrow></mml:mstyle></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mstyle></mml:math>
<label>(2)</label>
</disp-formula>Where: <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM2"><mml:msub><mml:mrow><mml:mover><mml:mi>&#x03C4;</mml:mi><mml:mo stretchy="false">&#x2192;</mml:mo></mml:mover></mml:mrow><mml:mi>w</mml:mi></mml:msub><mml:mo stretchy="false">(</mml:mo><mml:mi>t</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:math></inline-formula> is instantaneous wall shear stress vector at time <italic>t</italic>, and <italic>T</italic> is the time duration of the cardiac cycle.</p>
<p>Relative residence time (RRT) is derived by combining WSS and OSI, reflecting the duration blood particles remain near the vessel wall (<xref ref-type="disp-formula" rid="disp-formula3">Equation&#x00A0;3</xref>). RRT increases with higher OSI and lower time-averaged WSS, indicating that disturbed, slow, and oscillatory flow prolongs residence time. Strong spatial correlations have been reported between RRT and atherosclerotic lesion prevalence (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>).<disp-formula id="disp-formula3"><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="DM3"><mml:mrow><mml:mi mathvariant="normal">RRT</mml:mi></mml:mrow><mml:mo>=</mml:mo><mml:mstyle displaystyle="true" scriptlevel="0"><mml:mrow><mml:mfrac><mml:mn>1</mml:mn><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mn>2</mml:mn><mml:mrow><mml:mi mathvariant="normal">OSI</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo>&#x22C5;</mml:mo><mml:mrow><mml:mi mathvariant="normal">WS</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">S</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">mean</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:mrow></mml:mfrac></mml:mrow></mml:mstyle></mml:math>
<label>(3)</label>
</disp-formula>Where: OSI is the oscillatory shear index, and <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM3"><mml:mrow><mml:mi mathvariant="normal">WS</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">S</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">mean</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula> is the time-averaged mean wall shear stress.</p>
<p>Using reconstructed vascular geometries, WSS and OSI can be calculated mathematically with computational fluid dynamics (CFD). This approach can be combined with imaging modalities such as magnetic resonance imaging (MRI) (<xref ref-type="bibr" rid="B23">23</xref>), computed tomography (CT) (<xref ref-type="bibr" rid="B24">24</xref>), CT angiography (<xref ref-type="bibr" rid="B25">25</xref>), and intravascular ultrasound elastography (<xref ref-type="bibr" rid="B26">26</xref>). More recently, high-frame-rate ultrasound vector flow imaging (VFI) has been developed to evaluate flow characteristics, including WSS and OSI measurement (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>). A strong correlation has been demonstrated between velocity vectors obtained by VFI and those calculated by CFD (<xref ref-type="bibr" rid="B30">30</xref>). Compared with MRI, CT, and intravascular elastography, ultrasound VFI is non-invasive, cost-effective, and free of risks associated with ionizing radiation or contrast agents. It can also be safely repeated when clinically indicated.</p>
<p>This study aimed to measure WSS, OSI, and RRT at multiple locations along the femoropopliteal artery in adults without peripheral artery disease (PAD) and to examine whether low WSS, high OSI, and/or high RRT occur at sites with a known high prevalence of atherosclerotic lesions.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<p>The study was approved by the Peking University International Hospital Medical Ethics Committee (2022-KY-0053-01). One hundred sixteen presumed healthy adult volunteers were recruited for the study between May 2022 and March 2023. Informed consent was obtained from all participants.</p>
<p>All 116 volunteers completed a questionnaire covering demographic information, risk factors for atherosclerosis, and medical history, including smoking, hypertension, hyperlipidaemia, diabetes, cardiovascular disease, cerebrovascular disease, and chronic renal disease. Ankle-brachial index (ABI) measurement and lower limb arterial duplex ultrasound scans were performed to exclude participants with PAD. VFI images of the femoropopliteal artery were captured, and maximum WSS, mean WSS, and OSI were subsequently measured. RRT was calculated from OSI and mean WSS values obtained via VFI.</p>
<sec id="s2a"><title>ABI measurement and arterial duplex ultrasound scan of the femoropopliteal artery</title>
<p>A Spead Angiolab 2 Phlebolab Vascular Diagnostic System (Atys Medical, Soucieu en Jarrest, France) was used to conduct the ABI test. The index was calculated by dividing the higher ankle systolic blood pressure (between dorsalis pedis artery pressure and posterior tibial artery pressure) by the higher brachial systolic pressure on each side.</p>
<p>A Mindray Resona 7 ultrasound system (Shenzhen Mindray Bio-Medical Electronics Co, Ltd, Shenzhen, China) with a 3&#x2013;9&#x2005;MHz linear array transducer (L9-3U) was used for the arterial ultrasound examination of the femoropopliteal artery. The arterial duplex ultrasound scan was performed to exclude cases with intima-media thickness (IMT) &#x003E;1&#x2005;mm, minor plaque or arterial stenosis, based on the Cossman ultrasound criteria (<xref ref-type="bibr" rid="B31">31</xref>).</p>
</sec>
<sec id="s2b"><title>WSS and OSI measurement of the femoropopliteal artery</title>
<p>VFI images of the femoropopliteal artery were obtained with the Resona 7 ultrasound system. Since the Resona 7 ultrasound system was equipped with an older version of software that can measure WSS, but not OSI, WSS and OSI were subsequently measured using a Mindray Resona R9T ultrasound system (Shenzhen Mindray Bio-Medical Electronics Co, Ltd, Shenzhen, China). This system, with upgraded software, was capable of measuring maximum WSS, mean WSS, and OSI from VFI images transferred from the Resona 7.</p>
<sec id="s2b1"><title>VFI image acquisition</title>
<p>Grayscale ultrasound was first used to display the longitudinal view of the targeted artery. The &#x201C;V Flow&#x201D; tab was activated to enter the VFI mode, and a 1.5-s VFI cine loop was recorded. Acquired VFI cine loops covered A1&#x2013;A10 of the femoropopliteal artery (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). A linear array ultrasound transducer with a length of 5&#x2005;cm was used to estimate the mid and distal superficial femoral artery (SFA) sites (A8 and A9). A8 was located 12.5&#x2005;cm distal to the SFA origin (&#x2248;2.5 transducer lengths), while A9 was located 7.5&#x2005;cm proximal to the popliteal skin crease (&#x2248;1.5 transducer lengths). All VFI images were captured by MG, HZ, RZ, and LF.</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>Locations of the femoropopliteal artery for maximum WSS, mean WSS, and OSI measurements (blue ellipses). A1: Common femoral artery (CFA), 2&#x2005;cm proximal to the femoral artery bifurcation; A2: CFA, one radius proximal to the bifurcation; A3: At the bifurcation; A4: Profunda femoris artery (PFA), one radius distal to the bifurcation; A5: PFA, 2&#x2005;cm distal to the bifurcation; A6: Superficial femoral artery (SFA), one radius distal to the bifurcation; A7: SFA, 2&#x2005;cm distal to the bifurcation; A8: SFA, 12.5&#x2005;cm distal to the bifurcation; A9: SFA, 7.5&#x2005;cm proximal to the popliteal skin crease; A10: Popliteal artery (PA), at the popliteal skin crease. WSS, wall shear stress; OSI, oscillatory shear index, r: radius.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1597407-g001.tif"><alt-text content-type="machine-generated">Diagram illustrating labeled points along the CFA, PFA, SFA, and PA, marked A1 to A10. Distances are given as a radius of the artery, with two centimeters and twelve and a half centimeters for points A1 to A8. The span between A9 and A10 is seven and a half centimeters, with A10 located at the level of the popliteal crease.</alt-text>
</graphic>
</fig>
<p>In the VFI image, a series of arrows in different colours represented blood flow direction and velocity (<xref ref-type="fig" rid="F2">Figure&#x00A0;2A</xref>). VFI cine loops were saved on the ultrasound system and transferred to a USB drive.</p>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p><bold>A</bold> (left): VFI image of the femoral artery bifurcation recorded with the resona 7. Arrows in different colours represent blood flow direction and velocity; <bold>B</bold> (Right): Maximum WSS, mean WSS, and OSI measured with the Resona R9T. Numbers 1&#x2013;6 indicate locations for maximum WSS, mean WSS, and OSI measurement, along with their corresponding results for maximum WSS, mean WSS, and OSI.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1597407-g002.tif"><alt-text content-type="machine-generated">Vector Flow Ultrasound image showing blood flow in an artery, with colored arrows indicating velocity and direction. Panel A presents a side view with red, orange, and yellow arrows. Panel B displays a labeled view, featuring additional blue ellipses numbered one to six for Wall Shear Stress (WSS) measurement. A table on the right lists the WSS and Oscillatory Shear Index (OSI) values for each ellipse.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2b2"><title>WSS and OSI measurements</title>
<p>VFI cine loop files recorded on the Resona 7 were transferred via USB and analyzed on the Resona R9T system. After selecting a target frame, the operator tapped [WSS], which generated a green ellipse on the screen. The ellipse was positioned and oriented at the vessel wall (A1&#x2013;A10), and pressing [Set] fixed the measurement site. Maximum WSS, mean WSS, and OSI were displayed in a results window on the right side of the screen (<xref ref-type="fig" rid="F2">Figure&#x00A0;2B</xref>). Measurements were obtained at both the near and far walls of each site. All measurements were performed by MG and YL.</p>
</sec>
<sec id="s2b3"><title>RRT calculation</title>
<p>RRT was calculated from OSI and mean WSS values according to (<xref ref-type="disp-formula" rid="disp-formula3">Equation&#x00A0;3</xref>) in the Introduction. OSI and <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM4"><mml:mrow><mml:mi mathvariant="normal">WS</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">S</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">mean</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:math></inline-formula> (mean WSS) were obtained from the ultrasound system. RRT approaches infinity when OSI equals 0.5 or when mean WSS <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM5"><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">WS</mml:mi></mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">S</mml:mi></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">mean</mml:mi></mml:mrow></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:math></inline-formula> equals 0. OSI and WSS values from the ultrasound system were rounded to two decimal places (<xref ref-type="fig" rid="F2">Figure&#x00A0;2B</xref>). To avoid infinite values in the RRT calculation, OSI was set to 0.4950 when the displayed value was 0.50, and mean WSS was set to 0.0025 when the displayed value was 0.00.</p>
</sec>
</sec>
<sec id="s2c"><title>Statistical analysis</title>
<p>Student&#x0027;s <italic>t</italic>-tests were used to compare the mean values of maximum WSS, mean WSS, OSI and RRT at each of the 20 locations of the femoropopliteal artery with the averaged values of these parameters across all 20 locations. Comparisons of mean maximum WSS, mean WSS, OSI, and RRT values were made between females and males at each of the 20 locations along the femoropopliteal artery. All statistical analyses were conducted using IBM SPSS Statistics V25.0 (Armonk, NY, USA). A <italic>P</italic>-value of &#x003C; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<p>Of the 116 volunteers, three were excluded due to incomplete data (1 case), diabetes (1 case), and diabetes with cardiovascular disease and chronic renal disease (1 case). An additional four limbs were excluded from the analysis due to IMT &#x003E;1&#x2005;mm (2 limbs) and minor plaques (2 limbs).</p>
<p>A total of 113 participants (46 males and 67 females; 222 limbs) with a mean age of 37.6 years (range: 18&#x2013;57 years) were included in the final analysis. Participant characteristics, including ABI results, are summarized in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>.</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Characteristics of the 113 participants (222 lower limbs).</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center" colspan="2">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#7e8080">Gender (<italic>N</italic>&#x2009;&#x003D;&#x2009;113)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">40.7&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">59.3&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#7e8080">Age (<italic>N</italic>&#x2009;&#x003D;&#x2009;113)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age</td>
<td valign="top" align="center">37.6 (10.5)</td>
<td valign="top" align="center">18&#x2013;57</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#7e8080">Risk factors (<italic>N</italic>&#x2009;&#x003D;&#x2009;113)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Smoking</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">17.7&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hypertension</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">7.1&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hyperlipidaemia</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">3.5&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#7e8080">Body mass index (<italic>N</italic>&#x2009;&#x003D;&#x2009;113)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;BMI</td>
<td valign="top" align="center">23.66 (3.48)</td>
<td valign="top" align="center">15.92&#x2013;31.25</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#7e8080">Ankle brachial index (<italic>N</italic>&#x2009;&#x003D;&#x2009;222)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ABI</td>
<td valign="top" align="center">1.16 (0.10)</td>
<td valign="top" align="center">0.90&#x2013;1.42</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><p>Values are presented as <italic>n</italic>, &#x0025;, or mean (standard deviation), range. BMI, body mass index; ABI, ankle-brachial index; IMT, intima-media thickness.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Maximum WSS, mean WSS, and OSI values were measured at the near and far walls of 10 locations along the femoropopliteal artery in 222 lower limbs. RRT values, calculated from OSI and mean WSS, were also obtained. These results are presented in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref> and <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>.</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>WSS, OSI and RRT values across the femoropopliteal artery in 222 lower limbs.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left" rowspan="2" colspan="3">Locations</th>
<th valign="top" align="center" colspan="2">CFA</th>
<th valign="top" align="center">Bifurcation</th>
<th valign="top" align="center" colspan="2">PFA</th>
<th valign="top" align="center" colspan="4">SFA</th>
<th valign="top" align="center">PA</th>
<th valign="top" align="center" rowspan="2">Averaged value</th>
</tr>
<tr>
<th valign="top" align="center">A1</th>
<th valign="top" align="center">A2</th>
<th valign="top" align="center">A3</th>
<th valign="top" align="center">A4</th>
<th valign="top" align="center">A5</th>
<th valign="top" align="center">A6</th>
<th valign="top" align="center">A7</th>
<th valign="top" align="center">A8</th>
<th valign="top" align="center">A9</th>
<th valign="top" align="center">A10</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="6">Maximum WSS (Pa)</td>
<td valign="top" align="left" rowspan="3">Near wall</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">5.56</td>
<td valign="top" align="center">5.24</td>
<td valign="top" align="center">5.08</td>
<td valign="top" align="center">3.48</td>
<td valign="top" align="center">3.69</td>
<td valign="top" align="center">5.13</td>
<td valign="top" align="center">5.54</td>
<td valign="top" align="center">3.07</td>
<td valign="top" align="center">2.29</td>
<td valign="top" align="center">2.33</td>
<td valign="top" align="center" rowspan="6">3.78</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">1.54</td>
<td valign="top" align="left">1.37</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">1.69</td>
<td valign="top" align="center">1.30</td>
<td valign="top" align="center">1.44</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">1.53</td>
<td valign="top" align="center">1.13</td>
<td valign="top" align="center">1.43</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Far wall</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">4.45</td>
<td valign="top" align="center">4.12</td>
<td valign="top" align="center">3.09</td>
<td valign="top" align="center">2.89</td>
<td valign="top" align="center">3.43</td>
<td valign="top" align="center">4.19</td>
<td valign="top" align="center">4.44</td>
<td valign="top" align="center">2.66</td>
<td valign="top" align="center">2.55</td>
<td valign="top" align="center">2.44</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">1.41</td>
<td valign="top" align="left">1.31</td>
<td valign="top" align="center">1.31</td>
<td valign="top" align="center">1.20</td>
<td valign="top" align="center">1.17</td>
<td valign="top" align="center">1.47</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">1.14</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center">1.50</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">Mean WSS (Pa)</td>
<td valign="top" align="left" rowspan="3">Near wall</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.37</td>
<td valign="top" align="center" rowspan="6">0.65</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">0.32</td>
<td valign="top" align="left">0.35</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Far wall</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">0.73</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">0.27</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="left">0.59</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">OSI</td>
<td valign="top" align="left" rowspan="3">Near wall</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">0.29</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center" rowspan="6">0.19</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">0.11</td>
<td valign="top" align="left">0.11</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Far wall</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">0.16</td>
<td valign="top" align="left">0.15</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">RRT</td>
<td valign="top" align="left" rowspan="3">Near wall</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">2.06</td>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">3.06</td>
<td valign="top" align="center">3.32</td>
<td valign="top" align="center">3.90</td>
<td valign="top" align="center">3.14</td>
<td valign="top" align="center">4.16</td>
<td valign="top" align="center">8.03</td>
<td valign="top" align="center">10.07</td>
<td valign="top" align="center">13.06</td>
<td valign="top" align="center" rowspan="6">8.05</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">3.46</td>
<td valign="top" align="left">2.49</td>
<td valign="top" align="center">4.44</td>
<td valign="top" align="center">3.17</td>
<td valign="top" align="center">4.48</td>
<td valign="top" align="center">3.64</td>
<td valign="top" align="center">17.14</td>
<td valign="top" align="center">12.08</td>
<td valign="top" align="center">21.71</td>
<td valign="top" align="center">45.96</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Far wall</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="left">11.68</td>
<td valign="top" align="center">10.41</td>
<td valign="top" align="center">22.18</td>
<td valign="top" align="center">20.67</td>
<td valign="top" align="center">3.55</td>
<td valign="top" align="center">8.36</td>
<td valign="top" align="center">6.13</td>
<td valign="top" align="center">3.96</td>
<td valign="top" align="center">12.67</td>
<td valign="top" align="center">8.65</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="left">34.01</td>
<td valign="top" align="left">29.00</td>
<td valign="top" align="center">85.62</td>
<td valign="top" align="center">48.51</td>
<td valign="top" align="center">2.10</td>
<td valign="top" align="center">14.44</td>
<td valign="top" align="center">13.85</td>
<td valign="top" align="center">4.18</td>
<td valign="top" align="center">53.35</td>
<td valign="top" align="center">16.35</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value</td>
<td valign="top" align="left">0.11</td>
<td valign="top" align="left">0.23</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.59</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF2"><p>Data are presented as mean, standard deviation (SD). <italic>P</italic>-values were derived from the <italic>t</italic>-test comparing the values at each of the 20 locations with the overall averaged values across all 20 locations. A1: Common femoral artery (CFA), 2&#x2005;cm proximal to the femoral artery bifurcation; A2: CFA, one radius proximal to the bifurcation; A3: At the bifurcation; A4: Profunda femoris artery (PFA), one radius distal to the bifurcation; A5: PFA, 2&#x2005;cm distal to the bifurcation; A6: Superficial femoral artery (SFA), one radius distal to the bifurcation; A7: SFA, 2&#x2005;cm distal to the bifurcation; A8: SFA, 12.5&#x2005;cm distal to the bifurcation; A9: SFA, 7.5&#x2005;cm proximal to the popliteal skin crease; A10: Popliteal artery (PA), at the popliteal skin crease. WSS, wall shear stress; OSI, oscillatory shear index; RRT, relative residence time.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>WSS, OSI, and RRT values across the femoropopliteal artery in 222 lower limbs. <bold>(A)</bold> Maximum WSS; <bold>(B)</bold> Mean WSS; C: OSI; D: RRT. A1: CFA, 2&#x2005;cm proximal to the femoral artery bifurcation; A2: CFA, one radius proximal to the bifurcation; A3: At the bifurcation; A4: PFA, one radius distal to the bifurcation; A5: PFA, 2&#x2005;cm distal to the bifurcation; A6: SFA, one radius distal to the bifurcation; A7: SFA, 2&#x2005;cm distal to the bifurcation; A8: SFA, 12.5&#x2005;cm distal to the bifurcation; A9: SFA, 7.5&#x2005;cm proximal to the popliteal skin crease; A10: PA, at the popliteal skin crease. WSS: wall shear stress, OSI: oscillatory shear index, RRT: relative residence time, CFA: common femoral artery, PFA, profunda femoris artery; SFA, superficial femoral artery; PA, popliteal artery. Horizontal dotted lines indicate the average values of maximum WSS, mean WSS, and OSI across all 20 locations. Black bars represent measurements at the near wall; white bars represent measurements at the far wall. <italic>P</italic>-values shown above the bars represent the results of <italic>t</italic>-tests comparing values at each location to the overall mean across the femoropopliteal artery.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1597407-g003.tif"><alt-text content-type="machine-generated">Bar charts showing Wall Shear Stress (WSS) and other metrics on the near and far walls across ten locations. Chart A depicts maximum WSS, Chart B shows mean WSS, Chart C presents Oscillatory Shear Index (OSI), and Chart D details Relative Residence Time (RRT). Each chart compares values at each location to the overall mean across the femoropopliteal artery, with significant values labeled above the bars. Dashed lines indicate the overall mean values.</alt-text>
</graphic>
</fig>
<p><italic>P</italic>-values were derived from <italic>t</italic>-tests comparing the mean values of maximum WSS, mean WSS, OSI, and RRT at each of the 20 locations along the femoropopliteal artery with the overall average values across all locations (3.78&#x2005;Pa for maximum WSS, 0.65&#x2005;Pa for mean WSS, 0.19 for OSI, and 8.05 for RRT). These average values are provided in the far-right column of <xref ref-type="table" rid="T2">Table&#x00A0;2</xref> and are also depicted as horizontal dotted lines in <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>.</p>
<p><xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref> presents the results of statistical analysis comparing the values of the maximum WSS, mean WSS, OSI, and RRT at 20 locations of the femoropopliteal artery to the averaged values from all 20 locations. High WSS, low OSI, and low RRT are believed to prevent atherosclerosis and are marked as green, while low WSS, high OSI and high RRT are regarded as promoting atherosclerosis and are marked as red.</p>
<fig id="F4" position="float"><label>Figure&#x00A0;4</label>
<caption><p>WSS, OSI, and RRT at 20 locations along the femoropopliteal artery in 222 lower limbs, compared with the average values across all locations. <bold>(A)</bold> Maximum wall shear stress (WSS), with green and red ellipses indicating values significantly higher and lower than the average (3.78&#x2005;Pa), respectively; <bold>(B)</bold> Mean WSS, with green and red ellipses indicating values significantly higher and lower than the average (0.65&#x2005;Pa), respectively; <bold>(C)</bold> Oscillatory shear index (OSI), with green and red ellipses indicating values significantly lower and higher than the average (0.19), respectively; <bold>(D)</bold> Relative residence time (RRT), with green and red ellipses indicating values significantly lower and higher than the average (8.05), respectively. A1: Common femoral artery (CFA), 2&#x2005;cm proximal to the femoral artery bifurcation; A2: CFA, one radius proximal to the bifurcation; A3: At the bifurcation; A4: Profunda femoris artery (PFA), one radius distal to the bifurcation; A5: PFA, 2&#x2005;cm distal to the bifurcation; A6: Superficial femoral artery (SFA), one radius distal to the bifurcation; A7: SFA, 2&#x2005;cm distal to the bifurcation; A8: SFA, 12.5&#x2005;cm distal to the bifurcation; A9: SFA, 7.5&#x2005;cm proximal to the popliteal skin crease; A10: Popliteal artery (PA), at the popliteal skin crease.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1597407-g004.tif"><alt-text content-type="machine-generated">Diagram of arterial segments labeled A1 to A10, showing the CFA, PFA, SFA, and PA. Subfigures A to D display Maximum Wall Shear Stress (WSS), mean WSS, Oscillatory Shear Index (OSI), and Relative Residence Time (RRT). For maximum WSS and mean WSS, green and red ellipses highlight values significantly higher and lower than the average. For OSI and RRT, green and red ellipses indicate values significantly lower and higher than the average.</alt-text>
</graphic>
</fig>
<p>In <xref ref-type="fig" rid="F4">Figure&#x00A0;4A</xref>, green ellipses represent maximum WSS values significantly higher than the overall average (3.78&#x2005;Pa), red ellipses indicate values significantly lower, and blue ellipses indicate no significant difference. In <xref ref-type="fig" rid="F4">Figure&#x00A0;4B</xref>, green ellipses represent mean WSS values significantly higher than the average (0.65&#x2005;Pa), red ellipses represent significantly lower values, and blue ellipses represent values not significantly different. In <xref ref-type="fig" rid="F4">Figure&#x00A0;4C</xref>, green ellipses indicate OSI values significantly lower than the average (0.19), red ellipses indicate significantly higher values, and blue ellipses indicate no significant difference. In <xref ref-type="fig" rid="F4">Figure&#x00A0;4D</xref>, green ellipses denote RRT values significantly lower than the average (8.05), red ellipses denote significantly higher values, and blue ellipses denote values not significantly different from the mean.</p>
<p>Values of maximum WSS, mean WSS, OSI, and RRT at the near and far walls of 10 locations along the femoropopliteal artery were compared between females and males (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref> and <xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>).</p>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>Comparison of WSS, OSI, and RRT values across the femoropopliteal artery in 222 lower limbs: females vs. Males.</p></caption>
<table>
<thead>
<tr>
<th valign="top" align="left" rowspan="2" colspan="4">Locations</th>
<th valign="top" align="center" colspan="2">CFA</th>
<th valign="top" align="center">Bifurcation</th>
<th valign="top" align="center" colspan="2">PFA</th>
<th valign="top" align="center" colspan="4">SFA</th>
<th valign="top" align="center">PA</th>
</tr>
<tr>
<th valign="top" align="center">A1</th>
<th valign="top" align="center">A2</th>
<th valign="top" align="center">A3</th>
<th valign="top" align="center">A4</th>
<th valign="top" align="center">A5</th>
<th valign="top" align="center">A6</th>
<th valign="top" align="center">A7</th>
<th valign="top" align="center">A8</th>
<th valign="top" align="center">A9</th>
<th valign="top" align="center">A10</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="10">Maximum WSS (Pa)</td>
<td valign="top" align="left" rowspan="5">Near wall</td>
<td valign="top" align="left" rowspan="2">Female</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">5.75</td>
<td valign="top" align="center">5.40</td>
<td valign="top" align="center">5.19</td>
<td valign="top" align="center">3.70</td>
<td valign="top" align="center">3.79</td>
<td valign="top" align="center">5.15</td>
<td valign="top" align="center">5.86</td>
<td valign="top" align="center">3.34</td>
<td valign="top" align="center">2.35</td>
<td valign="top" align="center">2.35</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">1.58</td>
<td valign="top" align="center">1.37</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.82</td>
<td valign="top" align="center">1.42</td>
<td valign="top" align="center">1.41</td>
<td valign="top" align="center">1.42</td>
<td valign="top" align="center">1.64</td>
<td valign="top" align="center">1.13</td>
<td valign="top" align="center">1.30</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Male</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">5.28</td>
<td valign="top" align="center">5.00</td>
<td valign="top" align="center">4.93</td>
<td valign="top" align="center">3.16</td>
<td valign="top" align="center">3.55</td>
<td valign="top" align="center">5.09</td>
<td valign="top" align="center">5.07</td>
<td valign="top" align="center">2.68</td>
<td valign="top" align="center">2.20</td>
<td valign="top" align="center">2.29</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">1.42</td>
<td valign="top" align="center">1.34</td>
<td valign="top" align="center">1.32</td>
<td valign="top" align="center">1.43</td>
<td valign="top" align="center">1.10</td>
<td valign="top" align="center">1.49</td>
<td valign="top" align="center">1.30</td>
<td valign="top" align="center">1.27</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">1.60</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#7e8080"><italic>P</italic>-value</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Far wall</td>
<td valign="top" align="left" rowspan="2">Female</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">4.36</td>
<td valign="top" align="center">3.94</td>
<td valign="top" align="center">3.12</td>
<td valign="top" align="center">2.94</td>
<td valign="top" align="center">3.56</td>
<td valign="top" align="center">4.10</td>
<td valign="top" align="center">4.36</td>
<td valign="top" align="center">2.67</td>
<td valign="top" align="center">2.57</td>
<td valign="top" align="center">2.38</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">1.42</td>
<td valign="top" align="center">1.36</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center">1.21</td>
<td valign="top" align="center">1.27</td>
<td valign="top" align="center">1.33</td>
<td valign="top" align="center">1.22</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">1.32</td>
<td valign="top" align="center">1.35</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Male</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">4.57</td>
<td valign="top" align="center">4.39</td>
<td valign="top" align="center">3.05</td>
<td valign="top" align="center">2.83</td>
<td valign="top" align="center">3.25</td>
<td valign="top" align="center">4.34</td>
<td valign="top" align="center">4.55</td>
<td valign="top" align="center">2.66</td>
<td valign="top" align="center">2.53</td>
<td valign="top" align="center">2.53</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">1.40</td>
<td valign="top" align="center">1.20</td>
<td valign="top" align="center">1.27</td>
<td valign="top" align="center">1.18</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">1.65</td>
<td valign="top" align="center">1.28</td>
<td valign="top" align="center">1.27</td>
<td valign="top" align="center">1.35</td>
<td valign="top" align="center">1.71</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#7e8080"><italic>P</italic>-value</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">0.50</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="10">Mean WSS (Pa)</td>
<td valign="top" align="left" rowspan="5">Near wall</td>
<td valign="top" align="left" rowspan="2">Female</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">0.60</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Male</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.40</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">0.29</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#7e8080"><italic>P</italic>-value</td>
<td valign="top" align="left">&#x003C;0.01</td>
<td valign="top" align="left">0.22</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Far wall</td>
<td valign="top" align="left" rowspan="2">Female</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">0.29</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Male</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0.44</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.72</td>
<td valign="top" align="center">0.74</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.52</td>
<td valign="top" align="center">0.48</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#7e8080"><italic>P</italic>-value</td>
<td valign="top" align="center">0.21</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">&#x003C;0.01</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="10">OSI</td>
<td valign="top" align="left" rowspan="5">Near wall</td>
<td valign="top" align="left" rowspan="2">Female</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Male</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.28</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#7e8080"><italic>P</italic>-value</td>
<td valign="top" align="center">0.29</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.48</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x003C;0.01</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Far wall</td>
<td valign="top" align="left" rowspan="2">Female</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Male</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.13</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#7e8080"><italic>P</italic>-value</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.29</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="10">RRT</td>
<td valign="top" align="left" rowspan="5">Near wall</td>
<td valign="top" align="left" rowspan="2">Female</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">2.21</td>
<td valign="top" align="center">1.89</td>
<td valign="top" align="center">2.87</td>
<td valign="top" align="center">2.97</td>
<td valign="top" align="center">3.89</td>
<td valign="top" align="center">2.66</td>
<td valign="top" align="center">2.33</td>
<td valign="top" align="center">7.26</td>
<td valign="top" align="center">8.73</td>
<td valign="top" align="center">13.97</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">4.36</td>
<td valign="top" align="center">3.00</td>
<td valign="top" align="center">5.33</td>
<td valign="top" align="center">3.10</td>
<td valign="top" align="center">5.33</td>
<td valign="top" align="center">3.43</td>
<td valign="top" align="center">4.31</td>
<td valign="top" align="center">12.32</td>
<td valign="top" align="center">13.67</td>
<td valign="top" align="center">57.83</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Male</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">1.85</td>
<td valign="top" align="center">2.20</td>
<td valign="top" align="center">3.35</td>
<td valign="top" align="center">3.81</td>
<td valign="top" align="center">3.92</td>
<td valign="top" align="center">3.84</td>
<td valign="top" align="center">6.85</td>
<td valign="top" align="center">9.17</td>
<td valign="top" align="center">12.04</td>
<td valign="top" align="center">11.74</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">1.32</td>
<td valign="top" align="center">1.42</td>
<td valign="top" align="center">2.67</td>
<td valign="top" align="center">3.23</td>
<td valign="top" align="center">2.76</td>
<td valign="top" align="center">3.85</td>
<td valign="top" align="center">26.26</td>
<td valign="top" align="center">11.69</td>
<td valign="top" align="center">29.81</td>
<td valign="top" align="center">17.88</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#7e8080"><italic>P</italic>-value</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">0.33</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Far wall</td>
<td valign="top" align="left" rowspan="2">Female</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">14.75</td>
<td valign="top" align="center">12.32</td>
<td valign="top" align="center">27.66</td>
<td valign="top" align="center">14.03</td>
<td valign="top" align="center">3.19</td>
<td valign="top" align="center">8.69</td>
<td valign="top" align="center">6.21</td>
<td valign="top" align="center">3.79</td>
<td valign="top" align="center">13.94</td>
<td valign="top" align="center">8.81</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">42.56</td>
<td valign="top" align="center">35.59</td>
<td valign="top" align="center">105.95</td>
<td valign="top" align="center">35.12</td>
<td valign="top" align="center">1.97</td>
<td valign="top" align="center">15.25</td>
<td valign="top" align="center">15.23</td>
<td valign="top" align="center">4.90</td>
<td valign="top" align="center">65.47</td>
<td valign="top" align="center">19.43</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Male</td>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">7.17</td>
<td valign="top" align="center">7.62</td>
<td valign="top" align="center">14.14</td>
<td valign="top" align="center">30.27</td>
<td valign="top" align="center">4.08</td>
<td valign="top" align="center">7.86</td>
<td valign="top" align="center">6.00</td>
<td valign="top" align="center">4.21</td>
<td valign="top" align="center">10.82</td>
<td valign="top" align="center">8.41</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">13.10</td>
<td valign="top" align="center">14.54</td>
<td valign="top" align="center">39.62</td>
<td valign="top" align="center">62.01</td>
<td valign="top" align="center">2.19</td>
<td valign="top" align="center">13.24</td>
<td valign="top" align="center">11.60</td>
<td valign="top" align="center">2.80</td>
<td valign="top" align="center">27.45</td>
<td valign="top" align="center">10.39</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="background-color:#7e8080"><italic>P</italic>-value</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">&#x003C;0.01</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">0.84</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3"><p>Data are presented as mean, standard deviation (SD). <italic>P</italic>-values were derived from <italic>t</italic>-test comparing values between females and males at the near and far walls of 10 locations. A1: Common femoral artery (CFA), 2&#x2005;cm proximal to the femoral artery bifurcation; A2: CFA, one radius proximal to the bifurcation; A3: At the bifurcation; A4: Profunda femoris artery (PFA), one radius distal to the bifurcation; A5: PFA, 2&#x2005;cm distal to the bifurcation; A6: Superficial femoral artery (SFA), one radius distal to the bifurcation; A7: SFA, 2&#x2005;cm distal to the bifurcation; A8: SFA, 12.5&#x2005;cm distal to the bifurcation; A9: SFA, 7.5&#x2005;cm proximal to the popliteal skin crease; A10: Popliteal artery (PA), at the popliteal skin crease. WSS, wall shear stress; OSI, oscillatory shear index; RRT, relative residence time.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F5" position="float"><label>Figure&#x00A0;5</label>
<caption><p>Comparison of WSS, OSI, and RRT values across the femoropopliteal artery in 222 lower limbs: females vs. males. <bold>(A)</bold> Maximum WSS at the near wall (left) and far wall (right); <bold>(B)</bold> Mean WSS at the near wall (left) and far wall (right); <bold>(C)</bold> OSI at the near wall (left) and far wall (right); <bold>(D)</bold> RRT at the near wall (left) and far wall (right). A1: Common femoral artery (CFA), 2&#x2005;cm proximal to the femoral artery bifurcation; A2: CFA, one radius proximal to the bifurcation; A3: At the bifurcation; A4: Profunda femoris artery (PFA), one radius distal to the bifurcation; A5: PFA, 2&#x2005;cm distal to the bifurcation; A6: Superficial femoral artery (SFA), one radius distal to the bifurcation; A7: SFA, 2&#x2005;cm distal to the bifurcation; A8: SFA, 12.5&#x2005;cm distal to the bifurcation; A9: SFA, 7.5&#x2005;cm proximal to the popliteal skin crease; A10: Popliteal artery (PA), at the popliteal skin crease. WSS: wall shear stress, OSI: oscillatory shear index, RRT: relative residence time. Black bars represent data from female participants, and white bars represent data from male participants. <italic>P</italic>-values above the bars indicate the results of <italic>t</italic>-tests comparing female and male values at each location.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fsurg-12-1597407-g005.tif"><alt-text content-type="machine-generated">Grouped bar charts comparing Wall Shear Stress (WSS) and other metrics between females and males. Chart A shows maximum WSS at the near and far walls; Chart B displays mean WSS at the near and far walls; Chart C presents Oscillatory Shear Index (OSI) at the near and far walls; and Chart D shows Relative Residence Time (RRT) at the near and far walls. Each chart includes ten locations (A1-A10), with p-values above the bars indicating the results of t-tests comparing female and male values at each location.</alt-text>
</graphic>
</fig>
<p>At the near wall, maximum WSS values were significantly lower in males than in females at 5 of the 10 locations. Mean WSS value at the near wall were significantly lower in males at 3 of the 10 locations, while at one location, values were significantly lower in females.</p>
<p>At the far wall, both maximum and mean WSS values were generally similar between sexes. For each parameter, one location showed a significantly lower value in males, and another showed a significantly lower value in females.</p>
<p>A greater number of locations with higher OSI values were observed in males&#x2014;8 of 10 at the near wall and 4 of 10 at the far wall. No locations exhibited significantly higher OSI values in females at either wall.</p>
<p>RRT values, calculated from OSI and mean WSS measurements obtained via ultrasound, were significantly higher in males at the near wall of the proximal SFA (A6) and at the far wall of the profunda femoris artery (PFA, A4 and A5).</p>
<p>At the far wall of the femoral artery bifurcation, the mean RRT value was higher in females than in males (27.66 vs. 14.14); however, this difference was not statistically significant (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.18). Interestingly, the median RRT value at the same location was lower in females than in males (4.73 vs. 5.98).</p>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>PAD is one of the most common clinical manifestations of atherosclerosis, capable of causing intermittent claudication, rest pain, and tissue loss, and may ultimately lead to amputation (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). The prevalence of atherosclerotic plaques and arterial occlusion varies throughout the lower limb arteries (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>), likely due to differences in local anatomical and hemodynamic factors. In terms of hemodynamic forces, it is widely accepted that low and/or oscillatory WSS promotes atherosclerosis, whereas high WSS with low oscillation is protective (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>In this study, we used ultrasound VFI to measure WSS and OSI. Compared to other imaging modalities such as MRI, CT, and intravascular elastography, ultrasound VFI is non-invasive, relatively inexpensive, and can be performed by ultrasound practitioners with minimal training.</p>
<p>Previous studies have demonstrated that WSS and OSI values vary between different arteries. In particular, WSS in the femoropopliteal artery is lower than in the carotid artery (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). This difference is attributed to the distinct functional roles of these vessels: muscular arteries, such as the femoropopliteal artery, primarily serve a conductive function, whereas elastic arteries, such as the carotid, store potential energy (<xref ref-type="bibr" rid="B39">39</xref>). As no validated thresholds are currently available to define high or low WSS, OSI, or RRT specifically for the femoropopliteal artery, this study used the average values of maximum WSS, mean WSS, OSI, and RRT across the femoropopliteal artery as reference values for comparison. It should be noted that these are not established clinical thresholds, and further studies are required to validate their use.</p>
<p>The results of the current study demonstrate that in the CFA, although both maximum and mean WSS values were relatively high at the anterior and posterior walls, significantly higher OSI and RRT values were observed at the posterior wall, while lower OSI and RRT values were recorded at the anterior wall. The more oscillatory nature of WSS at the posterior wall of the CFA may be associated with the higher prevalence of atherosclerotic plaques at this location, as reported in previous studies (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>The distal SFA at the adductor (Hunter) canal is the most common site for atherosclerotic plaques formation and arterial occlusion within the femoropopliteal artery (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). This may be attributed to the unique anatomic characteristics of the region, including: 1) the artery&#x0027;s limited ability to enlarge in response to mural thickening, due to the constraining fasciomuscular boundaries of the canal; 2) abrupt changes in mechanical stiffness as the artery passes through different tissue types&#x2014;being tightly surrounded by muscles within the canal, then crossing the sharp edge of the aponeurosis of the adductor magnus to exit the canal and enter more compliant fatty tissue; and 3) repeated mechanical trauma during leg flexion (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>In addition to anatomical factors, local hemodynamic forces may also contribute to the formation of atherosclerotic lesions (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). In this study, the distal SFA was the only segment of the femoropopliteal artery where significantly lower WSS (both maximum and mean), along with significantly higher OSI, were observed at both the near and far walls. Assuming that low WSS and high OSI promote atherosclerosis, this finding aligns with the high prevalence of atherosclerotic plaque formation and arterial occlusion in this region, as reported in previous studies. When atherosclerotic plaques develop from both the near and far walls and encroach into the arterial lumen, the likelihood of complete arterial occlusion may increase. Whether vessel mobility and/or flexibility influence hemodynamic forces in this region remains unclear.</p>
<p>RRT values, calculated based on OSI and mean WSS measured by the ultrasound system, exhibited a wide standard deviation and should be interpreted with caution. Because OSI and mean WSS values were rounded to two decimal places, OSI values between 0.495 and 0.500 were recorded as 0.50, and mean WSS values below 0.005 were recorded as 0.00. To prevent infinite values in the RRT calculation, OSI values of 0.50 were replaced with 0.4950, and mean WSS values of 0.00 were replaced with 0.0025. These adjustments may have led to overestimation of some RRT values and may partially explain the large standard deviation observed in the RRT data.</p>
<p>In comparing WSS, OSI, and RRT between females and males, our study revealed significantly lower maximum and mean WSS at multiple locations on the near wall of the femoropopliteal artery in males. Additionally, males exhibited significantly higher OSI at several locations on both the near and far walls, and higher RRT at the near wall of the proximal SFA and the far wall of the PFA, compared to females. These gender-related differences in hemodynamic forces within the femoropopliteal artery may contribute to the higher incidence of PAD observed in the male population (<xref ref-type="bibr" rid="B32">32</xref>). The mechanism underlying the differences in hemodynamics between sexes is not fully understood.</p>
<sec id="s4a"><title>Limitations</title>
<p>This study has several limitations. First, the participants were primarily staff members and their family members at Peking University International Hospital, which may not accurately represent the general population. Second, the study did not account for the configuration of the femoral artery bifurcation or other anatomical factors that may influence flow hemodynamics (<xref ref-type="bibr" rid="B44">44</xref>). Third, no ultrasound or clinical follow-up was performed; therefore, the clinical significance of the findings could not be evaluated. Lastly, the ultrasound system&#x0027;s rounding of WSS and OSI values to two decimal places may have introduced inaccuracies in the RRT calculation.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>Adults without PAD exhibit variations in WSS, OSI, and RRT along the femoropopliteal artery. Significantly lower and more oscillatory WSS were observed in the distal SFA at the adductor canal&#x2014;a region consistently reported in the literature as having the highest prevalence of atherosclerotic lesions. Whether these hemodynamic patterns contribute to the development of atherosclerotic lesions later in life remains unclear and warrants further investigation through prospective studies.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were reviewed and approved by the Peking University International Hospital Medical Ethics Committee (2022-KY-0053-01). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>MG: Funding acquisition, Formal analysis, Validation, Data curation, Resources, Methodology, Software, Writing &#x2013; review &#x0026; editing, Investigation. HZ: Writing &#x2013; review &#x0026; editing, Methodology, Data curation, Software, Investigation, Resources. RZ: Methodology, Data curation, Supervision, Investigation, Writing &#x2013; review &#x0026; editing, Software, Resources. YL: Data curation, Methodology, Investigation, Software, Writing &#x2013; review &#x0026; editing. LF: Writing &#x2013; review &#x0026; editing, Data curation, Methodology. YD: Writing &#x2013; review &#x0026; editing, Software, Resources, Methodology. CW: Conceptualization, Writing &#x2013; review &#x0026; editing, Funding acquisition, Resources, Project administration, Supervision. YT: Writing &#x2013; review &#x0026; editing, Methodology, Investigation, Writing &#x2013; original draft, Visualization, Conceptualization, Formal analysis.</p>
</sec>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>YD is employed by Shenzhen Mindray Bio-Medical Electronics Co., Ltd.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list><title>References</title>
<ref id="B1"><label>1.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Libby</surname> <given-names>P</given-names></name> <name><surname>Buring</surname> <given-names>JE</given-names></name> <name><surname>Badimon</surname> <given-names>L</given-names></name> <name><surname>Hansson</surname> <given-names>GK</given-names></name> <name><surname>Deanfield</surname> <given-names>J</given-names></name> <name><surname>Bittencourt</surname> <given-names>MS</given-names></name><etal/></person-group> <article-title>Atherosclerosis</article-title>. <source>Nat Rev Dis Primers</source>. (<year>2019</year>) <volume>5</volume>(<issue>1</issue>):<fpage>56</fpage>. <pub-id pub-id-type="doi">10.1038/s41572-019-0106-z</pub-id><pub-id pub-id-type="pmid">31420554</pub-id></mixed-citation></ref>
<ref id="B2"><label>2.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Vaduganathan</surname> <given-names>M</given-names></name> <name><surname>Mensah</surname> <given-names>GA</given-names></name> <name><surname>Turco</surname> <given-names>JV</given-names></name> <name><surname>Fuster</surname> <given-names>V</given-names></name> <name><surname>Roth</surname> <given-names>GA</given-names></name></person-group>. <article-title>The global burden of cardiovascular diseases and risk: a compass for future health</article-title>. <source>J Am Coll Cardiol</source>. (<year>2022</year>) <volume>80</volume>(<issue>25</issue>):<fpage>2361</fpage>&#x2013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2022.11.005</pub-id><pub-id pub-id-type="pmid">36368511</pub-id></mixed-citation></ref>
<ref id="B3"><label>3.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Martin</surname> <given-names>SS</given-names></name> <name><surname>Aday</surname> <given-names>AW</given-names></name> <name><surname>Almarzooq</surname> <given-names>ZI</given-names></name> <name><surname>Anderson</surname> <given-names>CAM</given-names></name> <name><surname>Arora</surname> <given-names>P</given-names></name> <name><surname>Avery</surname> <given-names>CL</given-names></name><etal/></person-group> <article-title>2024 heart disease and stroke statistics: a report of US and global data from the American Heart Association</article-title>. <source>Circulation</source>. (<year>2024</year>) <volume>149</volume>(<issue>8</issue>):<fpage>e347</fpage>&#x2013;<lpage>913</lpage>. <pub-id pub-id-type="doi">10.1161/CIR.0000000000001209</pub-id><pub-id pub-id-type="pmid">38264914</pub-id></mixed-citation></ref>
<ref id="B4"><label>4.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Frangos</surname> <given-names>SG</given-names></name> <name><surname>Gahtan</surname> <given-names>V</given-names></name> <name><surname>Sumpio</surname> <given-names>B</given-names></name></person-group>. <article-title>Localization of atherosclerosis: role of hemodynamics</article-title>. <source>Arch Surg</source>. (<year>1999</year>) <volume>134</volume>(<issue>10</issue>):<fpage>1142</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1001/archsurg.134.10.1142</pub-id><pub-id pub-id-type="pmid">10522862</pub-id></mixed-citation></ref>
<ref id="B5"><label>5.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Malek</surname> <given-names>AM</given-names></name> <name><surname>Alper</surname> <given-names>SL</given-names></name> <name><surname>Izumo</surname> <given-names>S</given-names></name></person-group>. <article-title>Hemodynamic shear stress and its role in atherosclerosis</article-title>. <source>JAMA</source>. (<year>1999</year>) <volume>282</volume>(<issue>21</issue>):<fpage>2035</fpage>&#x2013;<lpage>42</lpage>. <pub-id pub-id-type="doi">10.1001/jama.282.21.2035</pub-id><pub-id pub-id-type="pmid">10591386</pub-id></mixed-citation></ref>
<ref id="B6"><label>6.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Morbiducci</surname> <given-names>U</given-names></name> <name><surname>Kok</surname> <given-names>AM</given-names></name> <name><surname>Kwak</surname> <given-names>BR</given-names></name> <name><surname>Stone</surname> <given-names>PH</given-names></name> <name><surname>Steinman</surname> <given-names>DA</given-names></name> <name><surname>Wentzel</surname> <given-names>JJ</given-names></name></person-group>. <article-title>Atherosclerosis at arterial bifurcations: evidence for the role of hemodynamics and geometry</article-title>. <source>Thromb Haemost</source>. (<year>2016</year>) <volume>115</volume>(<issue>3</issue>):<fpage>484</fpage>&#x2013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.1160/th15-07-0597</pub-id><pub-id pub-id-type="pmid">26740210</pub-id></mixed-citation></ref>
<ref id="B7"><label>7.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jebari-Benslaiman</surname> <given-names>S</given-names></name> <name><surname>Galicia-Garc&#x00ED;a</surname> <given-names>U</given-names></name> <name><surname>Larrea-Sebal</surname> <given-names>A</given-names></name> <name><surname>Olaetxea</surname> <given-names>JR</given-names></name> <name><surname>Alloza</surname> <given-names>I</given-names></name> <name><surname>Vandenbroeck</surname> <given-names>K</given-names></name><etal/></person-group> <article-title>Pathophysiology of atherosclerosis</article-title>. <source>Int J Mol Sci</source>. (<year>2022</year>) <volume>23</volume>(<issue>6</issue>):<fpage>3346</fpage>. <pub-id pub-id-type="doi">10.3390/ijms23063346</pub-id><pub-id pub-id-type="pmid">35328769</pub-id></mixed-citation></ref>
<ref id="B8"><label>8.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhou</surname> <given-names>M</given-names></name> <name><surname>Yu</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>R</given-names></name> <name><surname>Liu</surname> <given-names>X</given-names></name> <name><surname>Hu</surname> <given-names>Y</given-names></name> <name><surname>Ma</surname> <given-names>Z</given-names></name><etal/></person-group> <article-title>Wall shear stress and its role in atherosclerosis</article-title>. <source>Front Cardiovasc Med</source>. (<year>2023</year>) <volume>10</volume>:<fpage>1083547</fpage>. <pub-id pub-id-type="doi">10.3389/fcvm.2023.1083547</pub-id><pub-id pub-id-type="pmid">37077735</pub-id></mixed-citation></ref>
<ref id="B9"><label>9.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yagi</surname> <given-names>S</given-names></name> <name><surname>Sasaki</surname> <given-names>T</given-names></name> <name><surname>Fukuhara</surname> <given-names>T</given-names></name> <name><surname>Fujii</surname> <given-names>K</given-names></name> <name><surname>Morita</surname> <given-names>M</given-names></name> <name><surname>Suyama</surname> <given-names>Y</given-names></name><etal/></person-group> <article-title>Hemodynamic analysis of a microanastomosis using computational fluid dynamics</article-title>. <source>Yonago Acta Med</source>. (<year>2020</year>) <volume>63</volume>(<issue>4</issue>):<fpage>308</fpage>&#x2013;<lpage>12</lpage>. <pub-id pub-id-type="doi">10.33160/yam.2020.11.013</pub-id><pub-id pub-id-type="pmid">33253341</pub-id></mixed-citation></ref>
<ref id="B10"><label>10.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zarins</surname> <given-names>CK</given-names></name> <name><surname>Giddens</surname> <given-names>DP</given-names></name> <name><surname>Bharadvaj</surname> <given-names>BK</given-names></name> <name><surname>Sottiurai</surname> <given-names>VS</given-names></name> <name><surname>Mabon</surname> <given-names>RF</given-names></name> <name><surname>Glagov</surname> <given-names>S</given-names></name></person-group>. <article-title>Carotid bifurcation atherosclerosis. Quantitative correlation of plaque localization with flow velocity profiles and wall shear stress</article-title>. <source>Circ Res</source>. (<year>1983</year>) <volume>53</volume>(<issue>4</issue>):<fpage>502</fpage>&#x2013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1161/01.res.53.4.502</pub-id><pub-id pub-id-type="pmid">6627609</pub-id></mixed-citation></ref>
<ref id="B11"><label>11.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cunningham</surname> <given-names>KS</given-names></name> <name><surname>Gotlieb</surname> <given-names>AI</given-names></name></person-group>. <article-title>The role of shear stress in the pathogenesis of atherosclerosis</article-title>. <source>Lab Invest</source>. (<year>2005</year>) <volume>85</volume>(<issue>1</issue>):<fpage>9</fpage>&#x2013;<lpage>23</lpage>. <pub-id pub-id-type="doi">10.1038/labinvest.3700215</pub-id><pub-id pub-id-type="pmid">15568038</pub-id></mixed-citation></ref>
<ref id="B12"><label>12.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Slager</surname> <given-names>CJ</given-names></name> <name><surname>Wentzel</surname> <given-names>JJ</given-names></name> <name><surname>Gijsen</surname> <given-names>FJ</given-names></name> <name><surname>Thury</surname> <given-names>A</given-names></name> <name><surname>van der Wal</surname> <given-names>AC</given-names></name> <name><surname>Schaar</surname> <given-names>JA</given-names></name><etal/></person-group> <article-title>The role of shear stress in the destabilization of vulnerable plaques and related therapeutic implications</article-title>. <source>Nat Clin Pract Cardiovasc Med</source>. (<year>2005</year>) <volume>2</volume>(<issue>9</issue>):<fpage>456</fpage>&#x2013;<lpage>64</lpage>. <pub-id pub-id-type="doi">10.1038/ncpcardio0298</pub-id><pub-id pub-id-type="pmid">16265586</pub-id></mixed-citation></ref>
<ref id="B13"><label>13.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dhawan</surname> <given-names>SS</given-names></name> <name><surname>Avati Nanjundappa</surname> <given-names>RP</given-names></name> <name><surname>Branch</surname> <given-names>JR</given-names></name> <name><surname>Taylor</surname> <given-names>WR</given-names></name> <name><surname>Quyyumi</surname> <given-names>AA</given-names></name> <name><surname>Jo</surname> <given-names>H</given-names></name><etal/></person-group> <article-title>Shear stress and plaque development</article-title>. <source>Expert Rev Cardiovasc Ther</source>. (<year>2010</year>) <volume>8</volume>(<issue>4</issue>):<fpage>545</fpage>&#x2013;<lpage>56</lpage>. <pub-id pub-id-type="doi">10.1586/erc.10.28</pub-id><pub-id pub-id-type="pmid">20397828</pub-id></mixed-citation></ref>
<ref id="B14"><label>14.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Katritsis</surname> <given-names>D</given-names></name> <name><surname>Kaiktsis</surname> <given-names>L</given-names></name> <name><surname>Chaniotis</surname> <given-names>A</given-names></name> <name><surname>Pantos</surname> <given-names>J</given-names></name> <name><surname>Efstathopoulos</surname> <given-names>EP</given-names></name> <name><surname>Marmarelis</surname> <given-names>V</given-names></name></person-group>. <article-title>Wall shear stress: theoretical considerations and methods of measurement</article-title>. <source>Prog Cardiovasc Dis</source>. (<year>2007</year>) <volume>49</volume>(<issue>5</issue>):<fpage>307</fpage>&#x2013;<lpage>29</lpage>. <pub-id pub-id-type="doi">10.1016/j.pcad.2006.11.001</pub-id><pub-id pub-id-type="pmid">17329179</pub-id></mixed-citation></ref>
<ref id="B15"><label>15.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Samady</surname> <given-names>H</given-names></name> <name><surname>Eshtehardi</surname> <given-names>P</given-names></name> <name><surname>McDaniel</surname> <given-names>MC</given-names></name> <name><surname>Suo</surname> <given-names>J</given-names></name> <name><surname>Dhawan</surname> <given-names>SS</given-names></name> <name><surname>Maynard</surname> <given-names>C</given-names></name><etal/></person-group> <article-title>Coronary artery wall shear stress is associated with progression and transformation of atherosclerotic plaque and arterial remodeling in patients with coronary artery disease</article-title>. <source>Circulation</source>. (<year>2011</year>) <volume>124</volume>(<issue>7</issue>):<fpage>779</fpage>&#x2013;<lpage>88</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.111.021824</pub-id><pub-id pub-id-type="pmid">21788584</pub-id></mixed-citation></ref>
<ref id="B16"><label>16.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Malik</surname> <given-names>J</given-names></name> <name><surname>Novakova</surname> <given-names>L</given-names></name> <name><surname>Valerianova</surname> <given-names>A</given-names></name> <name><surname>Chytilova</surname> <given-names>E</given-names></name> <name><surname>Lejsek</surname> <given-names>V</given-names></name> <name><surname>Buryskova Salajova</surname> <given-names>K</given-names></name><etal/></person-group> <article-title>Wall shear stress alteration: a local risk factor of atherosclerosis</article-title>. <source>Curr Atheroscler Rep</source>. (<year>2022</year>) <volume>24</volume>(<issue>3</issue>):<fpage>143</fpage>&#x2013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1007/s11883-022-00993-0</pub-id><pub-id pub-id-type="pmid">35080718</pub-id></mixed-citation></ref>
<ref id="B17"><label>17.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bacigalupi</surname> <given-names>E</given-names></name> <name><surname>Pizzicannella</surname> <given-names>J</given-names></name> <name><surname>Rigatelli</surname> <given-names>G</given-names></name> <name><surname>Scorpiglione</surname> <given-names>L</given-names></name> <name><surname>Foglietta</surname> <given-names>M</given-names></name> <name><surname>Rende</surname> <given-names>G</given-names></name><etal/></person-group> <article-title>Biomechanical factors and atherosclerosis localization: insights and clinical applications</article-title>. <source>Front Cardiovasc Med</source>. (<year>2024</year>) <volume>11</volume>:<fpage>1392702</fpage>. <pub-id pub-id-type="doi">10.3389/fcvm.2024.1392702</pub-id><pub-id pub-id-type="pmid">39119184</pub-id></mixed-citation></ref>
<ref id="B18"><label>18.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Peiffer</surname> <given-names>V</given-names></name> <name><surname>Sherwin</surname> <given-names>SJ</given-names></name> <name><surname>Weinberg</surname> <given-names>PD</given-names></name></person-group>. <article-title>Does low and oscillatory wall shear stress correlate spatially with early atherosclerosis? A systematic review</article-title>. <source>Cardiovasc Res</source>. (<year>2013</year>) <volume>99</volume>(<issue>2</issue>):<fpage>242</fpage>&#x2013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1093/cvr/cvt044</pub-id><pub-id pub-id-type="pmid">23459102</pub-id></mixed-citation></ref>
<ref id="B19"><label>19.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Amaya</surname> <given-names>R</given-names></name> <name><surname>Cancel</surname> <given-names>LM</given-names></name> <name><surname>Tarbell</surname> <given-names>JM</given-names></name></person-group>. <article-title>Interaction between the stress phase angle (SPA) and the oscillatory shear Index (OSI) affects endothelial cell gene expression</article-title>. <source>PLoS One</source>. (<year>2016</year>) <volume>11</volume>(<issue>11</issue>):<fpage>e0166569</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0166569</pub-id><pub-id pub-id-type="pmid">27846267</pub-id></mixed-citation></ref>
<ref id="B20"><label>20.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Himburg</surname> <given-names>HA</given-names></name> <name><surname>Grzybowski</surname> <given-names>DM</given-names></name> <name><surname>Hazel</surname> <given-names>AL</given-names></name> <name><surname>LaMack</surname> <given-names>JA</given-names></name> <name><surname>Li</surname> <given-names>XM</given-names></name> <name><surname>Friedman</surname> <given-names>MH</given-names></name></person-group>. <article-title>Spatial comparison between wall shear stress measures and porcine arterial endothelial permeability</article-title>. <source>Am J Physiol Heart Circ Physiol</source>. (<year>2004</year>) <volume>286</volume>:<fpage>H1916</fpage>&#x2013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1152/ajpheart.00897.2003</pub-id><pub-id pub-id-type="pmid">14715506</pub-id></mixed-citation></ref>
<ref id="B21"><label>21.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hashemi</surname> <given-names>J</given-names></name> <name><surname>Rai</surname> <given-names>S</given-names></name> <name><surname>Ghafghazi</surname> <given-names>S</given-names></name> <name><surname>Berson</surname> <given-names>RE</given-names></name></person-group>. <article-title>Blood residence time to assess significance of coronary artery stenosis</article-title>. <source>Sci Rep</source>. (<year>2020</year>) <volume>10</volume>(<issue>1</issue>):<fpage>11658</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-020-68292-9</pub-id><pub-id pub-id-type="pmid">32669566</pub-id></mixed-citation></ref>
<ref id="B22"><label>22.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kandangwa</surname> <given-names>P</given-names></name> <name><surname>Cheng</surname> <given-names>K</given-names></name> <name><surname>Patel</surname> <given-names>M</given-names></name> <name><surname>Sherwin</surname> <given-names>SJ</given-names></name> <name><surname>de Silva</surname> <given-names>R</given-names></name> <name><surname>Weinberg</surname> <given-names>PD</given-names></name></person-group>. <article-title>Relative residence time can account for half of the anatomical variation in fatty streak prevalence within the right coronary artery</article-title>. <source>Ann Biomed Eng</source>. (<year>2025</year>) <volume>53</volume>(<issue>1</issue>):<fpage>144</fpage>&#x2013;<lpage>57</lpage>. <pub-id pub-id-type="doi">10.1007/s10439-024-03607-9</pub-id><pub-id pub-id-type="pmid">39287909</pub-id></mixed-citation></ref>
<ref id="B23"><label>23.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Riedl</surname> <given-names>KA</given-names></name> <name><surname>Kampf</surname> <given-names>T</given-names></name> <name><surname>Herold</surname> <given-names>V</given-names></name> <name><surname>Behr</surname> <given-names>VC</given-names></name> <name><surname>Bauer</surname> <given-names>WR</given-names></name></person-group>. <article-title>Wall shear stress analysis using 17.6 tesla MRI: a longitudinal study in ApoE-/- mice with histological analysis</article-title>. <source>PLoS One</source>. (<year>2020</year>) <volume>15</volume>(<issue>8</issue>):<fpage>e0238112</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0238112</pub-id><pub-id pub-id-type="pmid">32857805</pub-id></mixed-citation></ref>
<ref id="B24"><label>24.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Suo</surname> <given-names>J</given-names></name> <name><surname>Ferrara</surname> <given-names>DE</given-names></name> <name><surname>Sorescu</surname> <given-names>D</given-names></name> <name><surname>Guldberg</surname> <given-names>RE</given-names></name> <name><surname>Taylor</surname> <given-names>WR</given-names></name> <name><surname>Giddens</surname> <given-names>DP</given-names></name></person-group>. <article-title>Hemodynamic shear stresses in mouse aortas: implications for atherogenesis</article-title>. <source>Arterioscler Thromb Vasc Biol</source>. (<year>2007</year>) <volume>27</volume>(<issue>2</issue>):<fpage>346</fpage>&#x2013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1161/01.ATV.0000253492.45717.46</pub-id><pub-id pub-id-type="pmid">17122449</pub-id></mixed-citation></ref>
<ref id="B25"><label>25.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hetterich</surname> <given-names>H</given-names></name> <name><surname>Jaber</surname> <given-names>A</given-names></name> <name><surname>Gehring</surname> <given-names>M</given-names></name> <name><surname>Curta</surname> <given-names>A</given-names></name> <name><surname>Bamberg</surname> <given-names>F</given-names></name> <name><surname>Filipovic</surname> <given-names>N</given-names></name><etal/></person-group> <article-title>Coronary computed tomography angiography based assessment of endothelial shear stress and its association with atherosclerotic plaque distribution <italic>in vivo</italic></article-title>. <source>PLoS One</source>. (<year>2015</year>) <volume>10</volume>(<issue>1</issue>):<fpage>e0115408</fpage>. <pub-id pub-id-type="doi">10.1371/journal.pone.0115408</pub-id><pub-id pub-id-type="pmid">25635397</pub-id></mixed-citation></ref>
<ref id="B26"><label>26.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gijsen</surname> <given-names>FJ</given-names></name> <name><surname>Mastik</surname> <given-names>F</given-names></name> <name><surname>Schaar</surname> <given-names>JA</given-names></name> <name><surname>Schuurbiers</surname> <given-names>JC</given-names></name> <name><surname>van der Giessen</surname> <given-names>WJ</given-names></name> <name><surname>de Feyter</surname> <given-names>PJ</given-names></name><etal/></person-group> <article-title>High shear stress induces a strain increase in human coronary plaques over a 6-month period</article-title>. <source>Euro Intervention</source>. (<year>2011</year>) <volume>7</volume>(<issue>1</issue>):<fpage>121</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.4244/EIJV7I1A20</pub-id><pub-id pub-id-type="pmid">21550912</pub-id></mixed-citation></ref>
<ref id="B27"><label>27.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Qiu</surname> <given-names>Y</given-names></name> <name><surname>Yang</surname> <given-names>D</given-names></name> <name><surname>Zhang</surname> <given-names>Q</given-names></name> <name><surname>Chen</surname> <given-names>K</given-names></name> <name><surname>Dong</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>WP</given-names></name></person-group>. <article-title>V flow technology in measurement of wall shear stress of common carotid arteries in healthy adults: feasibility and normal values</article-title>. <source>Clin Hemorheol Microcirc</source>. (<year>2020</year>) <volume>74</volume>(<issue>4</issue>):<fpage>453</fpage>&#x2013;<lpage>62</lpage>. <pub-id pub-id-type="doi">10.3233/CH-190719</pub-id><pub-id pub-id-type="pmid">31683473</pub-id></mixed-citation></ref>
<ref id="B28"><label>28.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Du</surname> <given-names>Y</given-names></name> <name><surname>Goddi</surname> <given-names>A</given-names></name> <name><surname>Bortolotto</surname> <given-names>C</given-names></name> <name><surname>Shen</surname> <given-names>Y</given-names></name> <name><surname>Dell&#x0027;Era</surname> <given-names>A</given-names></name> <name><surname>Calliada</surname> <given-names>F</given-names></name><etal/></person-group> <article-title>Wall shear stress measurements based on ultrasound vector flow imaging: theoretical studies and clinical examples</article-title>. <source>J Ultrasound Med</source>. (<year>2020</year>) <volume>39</volume>(<issue>8</issue>):<fpage>1649</fpage>&#x2013;<lpage>64</lpage>. <pub-id pub-id-type="doi">10.1002/jum.15253</pub-id><pub-id pub-id-type="pmid">32124997</pub-id></mixed-citation></ref>
<ref id="B29"><label>29.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shchetynska-Marinova</surname> <given-names>T</given-names></name> <name><surname>Gerdes</surname> <given-names>L</given-names></name> <name><surname>Hohneck</surname> <given-names>AL</given-names></name> <name><surname>Winter</surname> <given-names>L</given-names></name> <name><surname>Amendt</surname> <given-names>K</given-names></name> <name><surname>Schwenke</surname> <given-names>K</given-names></name><etal/></person-group> <article-title>First experiences of ultrasound vector flow imaging at the femoropopliteal artery in peripheral arterial disease</article-title>. <source>Vasa</source>. (<year>2023</year>) <volume>52</volume>(<issue>6</issue>):<fpage>394</fpage>&#x2013;<lpage>401</lpage>. <pub-id pub-id-type="doi">10.1024/0301-1526/a001095</pub-id><pub-id pub-id-type="pmid">37847231</pub-id></mixed-citation></ref>
<ref id="B30"><label>30.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Poloni</surname> <given-names>S</given-names></name> <name><surname>Bozzetto</surname> <given-names>M</given-names></name> <name><surname>Du</surname> <given-names>Y</given-names></name> <name><surname>Aiani</surname> <given-names>L</given-names></name> <name><surname>Goddi</surname> <given-names>A</given-names></name> <name><surname>Fiorina</surname> <given-names>I</given-names></name><etal/></person-group> <article-title>Velocity vector comparison between vector flow imaging and computational fluid dynamics in the carotid bifurcation</article-title>. <source>Ultrasonics</source>. (<year>2023</year>) <volume>128</volume>:<fpage>106860</fpage>. <pub-id pub-id-type="doi">10.1016/j.ultras.2022.106860</pub-id><pub-id pub-id-type="pmid">36244088</pub-id></mixed-citation></ref>
<ref id="B31"><label>31.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cossman</surname> <given-names>DV</given-names></name> <name><surname>Ellison</surname> <given-names>JE</given-names></name> <name><surname>Wagner</surname> <given-names>WH</given-names></name> <name><surname>Carroll</surname> <given-names>RM</given-names></name> <name><surname>Treiman</surname> <given-names>RL</given-names></name> <name><surname>Foran</surname> <given-names>RF</given-names></name><etal/></person-group> <article-title>Comparison of contrast arteriography to arterial mapping with color-flow duplex imaging in the lower extremities</article-title>. <source>J Vasc Surg</source>. (<year>1989</year>) <volume>10</volume>(<issue>5</issue>):<fpage>522</fpage>&#x2013;<lpage>8</lpage>; <comment>discussion 528&#x2013;9</comment>. <pub-id pub-id-type="doi">10.1067/mva.1989</pub-id><pub-id pub-id-type="pmid">2681841</pub-id></mixed-citation></ref>
<ref id="B32"><label>32.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Criqui</surname> <given-names>MH</given-names></name> <name><surname>Aboyans</surname> <given-names>V</given-names></name></person-group>. <article-title>Epidemiology of peripheral artery disease</article-title>. <source>Circ Res</source>. (<year>2015</year>) <volume>116</volume>(<issue>9</issue>):<fpage>1509</fpage>&#x2013;<lpage>26</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCRESAHA.116.303849</pub-id><pub-id pub-id-type="pmid">25908725</pub-id></mixed-citation></ref>
<ref id="B33"><label>33.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Criqui</surname> <given-names>MH</given-names></name> <name><surname>Matsushita</surname> <given-names>K</given-names></name> <name><surname>Aboyans</surname> <given-names>V</given-names></name> <name><surname>Hess</surname> <given-names>CN</given-names></name> <name><surname>Hicks</surname> <given-names>CW</given-names></name> <name><surname>Kwan</surname> <given-names>TW</given-names></name><etal/></person-group> <article-title>Lower extremity peripheral artery disease: contemporary epidemiology, management gaps, and future directions: a scientific statement from the American Heart Association</article-title>. <source>Circulation</source>. (<year>2021</year>) <volume>144</volume>(<issue>9</issue>):<fpage>e171</fpage>&#x2013;<lpage>91</lpage>. <pub-id pub-id-type="doi">10.1161/CIR.0000000000001005</pub-id><pub-id pub-id-type="pmid">34315230</pub-id></mixed-citation></ref>
<ref id="B34"><label>34.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nordanstig</surname> <given-names>J</given-names></name> <name><surname>Behrendt</surname> <given-names>CA</given-names></name> <name><surname>Bradbury</surname> <given-names>AW</given-names></name> <name><surname>de Borst</surname> <given-names>GJ</given-names></name> <name><surname>Fowkes</surname> <given-names>F</given-names></name> <name><surname>Golledge</surname> <given-names>J</given-names></name><etal/></person-group> <article-title>Peripheral arterial disease (PAD)&#x2014;a challenging manifestation of atherosclerosis</article-title>. <source>Prev Med</source>. (<year>2023</year>) <volume>171</volume>:<fpage>107489</fpage>. <pub-id pub-id-type="doi">10.1016/j.ypmed.2023.107489</pub-id><pub-id pub-id-type="pmid">37031910</pub-id></mixed-citation></ref>
<ref id="B35"><label>35.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Thatipelli</surname> <given-names>M</given-names></name></person-group>. <article-title>Management of common femoral artery and bifurcation diseases</article-title>. <source>Vasc Dis Manag</source>. (<year>2010</year>) <volume>7</volume>(<issue>1</issue>):<fpage>E27</fpage>&#x2013;<lpage>30</lpage>.</mixed-citation></ref>
<ref id="B36"><label>36.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>B</given-names></name> <name><surname>Yang</surname> <given-names>M</given-names></name> <name><surname>Zou</surname> <given-names>Y</given-names></name></person-group>. <article-title>Plaque distribution in common femoral artery bifurcations, based on multi-slice computed tomography assessment</article-title>. <source>Clin Invest Med</source>. (<year>2017</year>) <volume>40</volume>(<issue>6</issue>):<fpage>E228</fpage>&#x2013;<lpage>34</lpage>. <pub-id pub-id-type="doi">10.25011/cim.v40i6.29123</pub-id><pub-id pub-id-type="pmid">29256388</pub-id></mixed-citation></ref>
<ref id="B37"><label>37.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Poredo&#x0161;</surname> <given-names>P</given-names></name> <name><surname>Cevc</surname> <given-names>M</given-names></name> <name><surname>Blinc</surname> <given-names>A</given-names></name></person-group>. <article-title>Characteristics of atherosclerosis in femoropopliteal artery and its clinical relevance</article-title>. <source>Atherosclerosis</source>. (<year>2021</year>) <volume>335</volume>:<fpage>31</fpage>&#x2013;<lpage>40</lpage>. <pub-id pub-id-type="doi">10.1016/j.atherosclerosis.2021.09.012</pub-id></mixed-citation></ref>
<ref id="B38"><label>38.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>He</surname> <given-names>Z</given-names></name> <name><surname>Luo</surname> <given-names>J</given-names></name> <name><surname>Lv</surname> <given-names>M</given-names></name> <name><surname>Li</surname> <given-names>Q</given-names></name> <name><surname>Ke</surname> <given-names>W</given-names></name> <name><surname>Niu</surname> <given-names>X</given-names></name><etal/></person-group> <article-title>Characteristics and evaluation of atherosclerotic plaques: an overview of state-of-the-art techniques</article-title>. <source>Front Neurol</source>. (<year>2023</year>) <volume>14</volume>:<fpage>1159288</fpage>. <pub-id pub-id-type="doi">10.3389/fneur.2023.1159288</pub-id><pub-id pub-id-type="pmid">37900593</pub-id></mixed-citation></ref>
<ref id="B39"><label>39.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kornet</surname> <given-names>L</given-names></name> <name><surname>Hoeks</surname> <given-names>AP</given-names></name> <name><surname>Lambregts</surname> <given-names>J</given-names></name> <name><surname>Reneman</surname> <given-names>RS</given-names></name></person-group>. <article-title>Mean wall shear stress in the femoral arterial bifurcation is low and independent of age at rest</article-title>. <source>J Vasc Res</source>. (<year>2000</year>) <volume>37</volume>(<issue>2</issue>):<fpage>112</fpage>&#x2013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1159/000025722</pub-id><pub-id pub-id-type="pmid">10754396</pub-id></mixed-citation></ref>
<ref id="B40"><label>40.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stroev</surname> <given-names>PV</given-names></name> <name><surname>Hoskins</surname> <given-names>PR</given-names></name> <name><surname>Easson</surname> <given-names>WJ</given-names></name></person-group>. <article-title>Distribution of wall shear rate throughout the arterial tree: a case study</article-title>. <source>Atherosclerosis</source>. (<year>2007</year>) <volume>191</volume>(<issue>2</issue>):<fpage>276</fpage>&#x2013;<lpage>80</lpage>. <pub-id pub-id-type="doi">10.1016/j.atherosclerosis.2006.05.029</pub-id><pub-id pub-id-type="pmid">16828101</pub-id></mixed-citation></ref>
<ref id="B41"><label>41.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wendelhag</surname> <given-names>I</given-names></name> <name><surname>Wiklund</surname> <given-names>O</given-names></name> <name><surname>Wikstrand</surname> <given-names>J</given-names></name></person-group>. <article-title>Atherosclerotic changes in the femoral and carotid arteries in familial hypercholesterolemia. Ultrasonographic assessment of intima-media thickness and plaque occurrence</article-title>. <source>Arterioscler Thromb</source>. (<year>1993</year>) <volume>13</volume>(<issue>10</issue>):<fpage>1404</fpage>&#x2013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1161/01.atv.13.10.1404</pub-id><pub-id pub-id-type="pmid">8399076</pub-id></mixed-citation></ref>
<ref id="B42"><label>42.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Watt</surname> <given-names>JK</given-names></name></person-group>. <article-title>Origin of femoro-popliteal occlusions</article-title>. <source>Br Med J</source>. (<year>1965</year>) <volume>2</volume>(<issue>5476</issue>):<fpage>1455</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1136/bmj.2.5476.1455</pub-id><pub-id pub-id-type="pmid">5849435</pub-id></mixed-citation></ref>
<ref id="B43"><label>43.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Scholten</surname> <given-names>FG</given-names></name> <name><surname>Warnars</surname> <given-names>GA</given-names></name> <name><surname>Mali</surname> <given-names>WP</given-names></name> <name><surname>van Leeuwen</surname> <given-names>MS</given-names></name></person-group>. <article-title>Femoropopliteal occlusions and the adductor canal hiatus, Duplex study</article-title>. <source>Eur J Vasc Surg</source>. (<year>1993</year>) <volume>7</volume>(<issue>6</issue>):<fpage>680</fpage>&#x2013;<lpage>3</lpage>. <pub-id pub-id-type="doi">10.1016/s0950-821x(05)80716-9</pub-id><pub-id pub-id-type="pmid">8270071</pub-id></mixed-citation></ref>
<ref id="B44"><label>44.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gaye</surname> <given-names>M</given-names></name> <name><surname>Dieng</surname> <given-names>P</given-names></name> <name><surname>Ndiaye</surname> <given-names>A</given-names></name> <name><surname>Wade</surname> <given-names>R</given-names></name> <name><surname>Diop</surname> <given-names>S</given-names></name> <name><surname>Sow</surname> <given-names>N</given-names></name><etal/></person-group> <article-title>The configuration of the femoral arterial bifurcation&#x2019;s influence on its atherogenesis</article-title>. <source>Forensic Med Anat Res</source>. (<year>2020</year>) <volume>8</volume>:<fpage>45</fpage>&#x2013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.4236/fmar.2020.82005</pub-id></mixed-citation></ref></ref-list>
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<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/176372/overview">Nikolaos Kontopodis</ext-link>, University Hospital of Heraklion, Greece</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/243030/overview">George Galyfos</ext-link>, National and Kapodistrian University of Athens, Greece</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2220776/overview">Rafa&#x00EB;lle Spear</ext-link>, Universit&#x00E9; Grenoble Alpes, France</p></fn>
</fn-group>
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