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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2023.1132626</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cardiac magnetic resonance imaging for preprocedural planning of percutaneous left atrial appendage closure</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Bertsche</surname><given-names>Dagmar</given-names></name><uri xlink:href="https://loop.frontiersin.org/people/1792603/overview"/></contrib>
<contrib contrib-type="author"><name><surname>Metze</surname><given-names>Patrick</given-names></name><uri xlink:href="https://loop.frontiersin.org/people/964116/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Luo</surname><given-names>Erfei</given-names></name><uri xlink:href="https://loop.frontiersin.org/people/1161758/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Dahme</surname><given-names>Tillman</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Gonska</surname><given-names>Birgid</given-names></name><uri xlink:href="https://loop.frontiersin.org/people/1400002/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Rottbauer</surname><given-names>Wolfgang</given-names></name><uri xlink:href="https://loop.frontiersin.org/people/1226929/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Vernikouskaya</surname><given-names>Ina</given-names></name><uri xlink:href="https://loop.frontiersin.org/people/1853638/overview" /></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Rasche</surname><given-names>Volker</given-names></name>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/422347/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Schneider</surname><given-names>Leonhard M.</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1384641/overview" /></contrib>
</contrib-group>
<aff><addr-line>Department of Internal Medicine II</addr-line>, <institution>Ulm University Medical Center</institution>, <addr-line>Ulm</addr-line>, <country>Germany</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Martin Swaans, St. Antonius Hospital, Netherlands</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Jens Erik Nielsen-Kudsk, Aarhus University Hospital, Denmark Errol Aarnink, St. Antonius Hospital, Netherlands</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Volker Rasche <email>volker.rasche@uni-ulm.de</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors share last authorship</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>23</day><month>06</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>10</volume><elocation-id>1132626</elocation-id>
<history>
<date date-type="received"><day>27</day><month>12</month><year>2022</year></date>
<date date-type="accepted"><day>01</day><month>06</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Bertsche, Metze, Luo, Dahme, Gonska, Rottbauer, Vernikouskaya, Rasche and Schneider.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Bertsche, Metze, Luo, Dahme, Gonska, Rottbauer, Vernikouskaya, Rasche and Schneider</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://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.</p></license>
</permissions>
<abstract><sec><title>Introduction</title>
<p>Percutaneous closure of the left atrial appendage (LAA) facilitates stroke prevention in patients with atrial fibrillation. Optimal device selection and positioning are often challenging due to highly variable LAA shape and dimension and thus require accurate assessment of the respective anatomy. Transesophageal echocardiography (TEE) and x-ray fluoroscopy (XR) represent the gold standard imaging techniques. However, device underestimation has frequently been observed. Assessment based on 3-dimensional computer tomography (CTA) has been reported as more accurate but increases radiation and contrast agent burden. In this study, the use of non-contrast-enhanced cardiac magnetic resonance imaging (CMR) to support preprocedural planning for LAA closure (LAAc) was investigated.</p>
</sec><sec><title>Methods</title>
<p>CMR was performed in thirteen patients prior to LAAc. Based on the 3-dimensional CMR image data, the dimensions of the LAA were quantified and optimal C-arm angulations were determined and compared to periprocedural data. Quantitative figures used for evaluation of the technique comprised the maximum diameter, the diameter derived from perimeter and the area of the landing zone of the LAA.</p>
</sec><sec><title>Results</title>
<p>Perimeter- and area-based diameters derived from preprocedural CMR showed excellent congruency compared to those measured periprocedurally by XR, whereas the respective maximum diameter resulted in significant overestimation (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Compared to TEE assessment, CMR-derived diameters resulted in significantly larger dimensions (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). The deviation of the maximum diameter to the diameters measured by XR and TEE correlated well with the ovality of the LAA. C-arm angulations used during the procedures were in agreement with those determined by CMR in case of circular LAA.</p>
</sec><sec><title>Discussion</title>
<p>This small pilot study demonstrates the potential of non-contrast-enhanced CMR to support preprocedural planning of LAAc. Diameter measurements based on LAA area and perimeter correlated well with the actual device selection parameters. CMR-derived determination of landing zones facilitated accurate C-arm angulation for optimal device positioning.</p>
</sec>
</abstract>
<kwd-group>
<kwd>left atrial appendage closure</kwd>
<kwd>cardiac magnetic resonance imaging</kwd>
<kwd>preprocedural planning</kwd>
<kwd>landing zone dimensions</kwd>
<kwd>angulation prediction</kwd>
</kwd-group><contract-num rid="cn001">13GW0372C</contract-num><contract-sponsor id="cn001">Federal Ministry of Education and Research</contract-sponsor><counts>
<fig-count count="7"/>
<table-count count="2"/><equation-count count="2"/><ref-count count="47"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Structural Interventional Cardiology</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1.</label><title>Introduction</title>
<p>Atrial fibrillation (AF) is a major cardiac arrhythmia and is known to increase the risk of mortality (<xref ref-type="bibr" rid="B1">1</xref>) including an increased risk of stroke (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). In patients with AF, the left atrial appendage (LAA) was identified as a source of thrombus associated with a higher risk of causing stroke (<xref ref-type="bibr" rid="B4">4</xref>) with oral anticoagulation representing an effective therapy to reduce the risk of stroke (<xref ref-type="bibr" rid="B5">5</xref>). In patients with contraindications to oral anticoagulation (<xref ref-type="bibr" rid="B6">6</xref>) closure of the LAA (LAAc) represents an efficient therapy option (<xref ref-type="bibr" rid="B7">7</xref>). However, the high variability of LAA shapes and dimensions (<xref ref-type="bibr" rid="B8">8</xref>) challenges optimal occluder selection and final implantation (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>), indicating the need for accurate preprocedural assessment of the LAA.</p>
<p>The gold standard imaging modality for LAA assessment for LAAc is 2D transesophageal echocardiography (TEE), also recommended in conjunction with x-ray fluoroscopy (XR) (<xref ref-type="bibr" rid="B11">11</xref>). The selection of device size is based on the maximum diameter obtained from the LAA diameters assessed at the anticipated landing zone of the occluder (<xref ref-type="bibr" rid="B12">12</xref>). However, despite the high spatial resolution of both imaging modalities, underestimation of the maximal diameter derived from 2D TEE and XR has been reported, which was attributed to the often oval shape of the LAA and the non-optimal choice of view geometry selected in 2D TEE or projective XR for measurement (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>In general there is a high demand for preprocdural assessment of the LAA geometry for accurate procedure planning. The use of 3D TEE has been shown to be more accurate than those based on 2D TEE (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B16">16</xref>), although the maximum diameter is still underestimated compared to measurements based on 3D computer angiography (CTA) (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). CTA has been shown to be an appropriate imaging tool for LAAc planning (<xref ref-type="bibr" rid="B19">19</xref>). In case of 3D imaging data, device size selection based on perimeter and area measurement derived landing zone diameters have been reported to be more reliable than simply using the maximum diameter (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B20">20</xref>). In addition to the correct assessment of the diameter, the optimal XR angulations for periprocedural imaging during implantation could be retrieved from the CTA data (<xref ref-type="bibr" rid="B21">21</xref>). Even though preprocedural assessment of the LAA based on CTA has the potential to improve the outcome and efficiency of the intervention (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>), its application is limited in patients with reduced kidney performance and due to its intrinsic risk of ionizing radiation is under safety/benefit debate for general application in LAAc (<xref ref-type="bibr" rid="B24">24</xref>). Here, cardiac magnetic resonance imaging (CMR) may gain interest especially considering the additional excellent soft-tissue contrast, enabling thrombus detection in the LAA (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). However, where there is general consensus that 3D CT is appropriate for LAAc planning, the respective role of 3D CMR for LAAc planning needs further investigation (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>As further approaches for facilitating improved preprocedural device selection printed 3D models either derived from CTA (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>) or CMR data (<xref ref-type="bibr" rid="B29">29</xref>) as well as an interactive modelling tool for LAAc planning (<xref ref-type="bibr" rid="B30">30</xref>) have been reported.</p>
<p>The objective of this pilot study is to investigate the application of non-contrast-enhanced 3D CMR in preprocedural planning of LAAc. For initial accuracy assessment of CMR, the landing zone diameters were quantified retrospectively at the same LAA location as used for the XR-derived periprocedural measurements. For estimation of the value of CMR for LAAc planning, landing zones were determined prospectively based on CMR and the resulting diameters and optimal C-arm angulations compared to periprocedural data.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2.</label><title>Methods</title>
<p>13 patients (85&#x0025; male, 76&#x2009;&#x00B1;&#x2009;9&#x2005;years) with atrial fibrillation (paroxysmal, persistent, long-persistent, permanent) not suited for oral anticoagulation therapy were enrolled in this pilot study [<italic>n</italic>&#x2009;&#x003D;&#x2009;10 Watchman FLX&#x2122; (Boston Scientific, Massachusetts, USA); <italic>n</italic>&#x2009;&#x003D;&#x2009;2 LAmbre&#x2122; (Lifetech Scientific, Shenzhen, China); <italic>n</italic>&#x2009;&#x003D;&#x2009;1 Amplatzer&#x2122;Amulet&#x2122; (Abbott, Illinois, USA)]. The procedure was performed according to the current clinical recommendations. For device size selection, the LAA of the patients was measured periprocedurally with 2D TEE (EPIQ CVxi, Philips Medical Systems, Best, The Netherlands) at view angles &#x223C;45&#x00B0;, &#x223C;90&#x00B0;, and &#x223C;135&#x00B0;. To approve the TEE measurements, contrast-enhanced XR (Allura Clarity, Philips Medical Systems, Best, The Netherlands) were additionally routinely acquired in right anterior oblique and caudal angulation as recommended (<xref ref-type="bibr" rid="B31">31</xref>). If according to the objective impression of the interventional cardiologist the LAA was not well displayed in the XR projections acquired in recommended angulation, additional XR angulations were acquired and analyzed. The maximum diameter measurement of the identified landing zone was considered for the selection of the device size. All patients underwent an CMR examination the day before the actual intervention. The evaluation was conducted in accordance with the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the local ethical committee. Written informed consent was obtained from all individual participants included in the study (drks.de DRKS00015649).</p>
<sec id="s2a"><label>2.1.</label><title>Magnetic resonance imaging of the left atrial appendage</title>
<p>Preprocedural 3D CMR data were acquired with a spatial resolution of 1.3<sup>3</sup>&#x2005;mm<sup>3</sup> at 3&#x2005;T (Achieva 3.0&#x2005;T, dStream, R5.6, Philips Medical Systems B.V., Best, The Netherlands) with a respiratory navigated mDixon sequence and a non-contrast-enhanced protocol according to Homsi et al. (<xref ref-type="bibr" rid="B32">32</xref>). The CMR data were acquired in atrial diastole, preferably at 30&#x0025;&#x2013;40&#x0025; phase of the RR-interval as proposed for measuring the LAA dimensions (<xref ref-type="bibr" rid="B33">33</xref>).</p>
</sec>
<sec id="s2b"><label>2.2.</label><title>Accuracy of 3D-CMR</title>
<p>Quantitative comparison of CMR and XR for LAA dimension assessment requires measurement of the respective parameters at the same anatomical location. Since the procedure was performed according to the current clinical recommendations, the respective measurements were done at the location of the landing zone as identified by XR during the LAAc procedure. Accurate identification of the periprocedurally XR-identified landing zone in the CMR data was ensured by registration of the CMR and x-ray data in a common 3D-XR system geometry. According to the geometry values of the XR system stored in a digital imaging and communication in medicine (DICOM) standard image for each XR measurement, each image was visualized geometrically correctly in the 3D XR system geometry. Patient-specific 3D surface meshes were derived from the 3D CMR after manual segmentation of the respective structures using 3DSlicer [<ext-link ext-link-type="uri" xlink:href="www.slicer.org">www.slicer.org</ext-link>, (<xref ref-type="bibr" rid="B34">34</xref>)]. Manual registration of the surface meshes to the XR system geometry was achieved with 3D-XGuide (<xref ref-type="bibr" rid="B35">35</xref>). Similar to previous work (<xref ref-type="bibr" rid="B36">36</xref>), each XR-derived landing zone was localized in 3D by calculating the intersection points of the projection lines with the 3D surface mesh (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). A respective 2D CMR image aligned with the landing zone was generated by multi-planar reconstruction (MPR), thus ensuring measurements in the CMR at the same anatomical location as chosen by periprocedural XR.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>By intersection of the projection lines (yellow lines) of the landing zone identified in XR (yellow dots) with the left atrial appendage segmented from pre-procedural registered CMR (red), the landing zone was localized in 3D (blue dots).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1132626-g001.tif"/>
</fig>
<p>In the reformatted CMR image the maximum diameter (d&#x2019;<sub>max</sub>&#x00AD;), the diameter parallel to the actual chosen XR projection plane (d&#x2019;<sub>proj</sub>), and the minimum diameter (d&#x2019;<sub>min</sub>) of the XR-derived landing zone were determined. These CMR-based measurements were compared to the periprocedural measurement based on XR (d<sub>XR</sub>). Furthermore, the ovality of the LAA was derived as the difference between d&#x2019;<sub>min</sub> and d&#x2019;<sub>max</sub> and set into relation to the deviations between d&#x2019;<sub>max</sub> and d<sub>XR</sub>.</p>
<p>To assess the interrater reliability of the measurements, data analysis was independently done by three readers for both modalities. Intraclass correlation coefficients (icc) and their 95&#x0025; confidence intervals (ci) were calculated using the statistical python package pingouin (<xref ref-type="bibr" rid="B37">37</xref>) and were rated according to Koo et al. (<xref ref-type="bibr" rid="B38">38</xref>). The icc were calculated based on single-rating, absolute-agreement, two-way random-effects models.</p>
</sec>
<sec id="s2c"><label>2.3.</label><title>Cardiac magnetic resonance imaging for LAAc procedure planning</title>
<p>To investigate the potential of CMR to support preprocedural planning of LAAc, the anticipated landing zones were preprocedurally defined based on the patient&#x0027;s CMR images (3mensio Structural Heart&#x2122;, V10.2, Pie Medical Imaging, Maastricht, The Netherlands) according to expert recommendations derived from CTA (<xref ref-type="bibr" rid="B21">21</xref>). Landing zone diameters and optimal XR angulations were determined and retrospectively compared to clinical data acquired periprocedurally with the clinically recommended procedure.</p>
<sec id="s2c1"><label>2.3.1.</label><title>Landing zone dimensions</title>
<p>The maximum diameter (d<sub>max</sub>), the perimeter (<italic>p</italic>) derived diameter (d<sub>peri&#x2009;</sub>&#x003D;&#x2009;<inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM1"><mml:mrow><mml:mfrac><mml:mrow><mml:mspace width="thinmathspace" /><mml:mi>p</mml:mi></mml:mrow><mml:mi>&#x03C0;</mml:mi></mml:mfrac></mml:mrow></mml:math></inline-formula>), the area (<italic>a</italic>) derived diameter (d<sub>area</sub>&#x2009;&#x003D;&#x2009;<inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM2"><mml:mn>2</mml:mn><mml:msqrt><mml:mrow><mml:mfrac><mml:mi>a</mml:mi><mml:mi>&#x03C0;</mml:mi></mml:mfrac></mml:mrow></mml:msqrt></mml:math></inline-formula>), and minimum diameter (d<sub>min</sub>) of the CMR-derived landing zone were quantified in the CMR images (<xref ref-type="fig" rid="F2">Figures&#x00A0;2A,B</xref>). CMR-derived measurements were compared with periprocedural measurements derived from XR (d<sub>XR</sub>) and TEE (d<sub>TEE</sub>) (<xref ref-type="fig" rid="F2">Figures&#x00A0;2C,D</xref>). The ovality of the landing zones derived from d<sub>max</sub> and d<sub>min</sub> was correlated with the deviations of d<sub>max</sub> to d<sub>XR</sub> and d<sub>TEE</sub>.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>The diameter of the landing zone measured by CMR (<bold>A,B</bold>), TEE (<bold>C</bold>), and XR (<bold>D</bold>). Based on CMR, maximum (<bold>A</bold>, white solid line) and minimum (<bold>A</bold>, orange dashed line) diameters and diameters calculated from perimeter (<bold>B</bold>, white dashed line) and area (<bold>B</bold>, orange area) measurements of the landing zone were derived.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1132626-g002.tif"/>
</fig>
</sec>
<sec id="s2c2"><label>2.3.2.</label><title>Angulation prediction</title>
<p>Furthermore, the optimal XR angulations were predicted from the CMR identified landing zones yielding orthogonal projection of the maximal diameter (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>) independently by two readers. Angulations deviating by more than the 95&#x0025; confidence interval were considered different to identify optimal angulations outside of the recommended angulation range (RAO20-30/CAUD20-30).</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>CMR-derived ostium (red) and landing zone (green) superimposed onto angiographical simulation in (<bold>A</bold>) the recommended angulation and (<bold>B</bold>) patient-specific optimal angulation.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1132626-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s2d"><label>2.4.</label><title>Statistical analysis</title>
<p>The agreement between the modalities was visually analyzed based on Bland-Altman and scatter plots. The significance of the differences was assessed by applying a paired <italic>t</italic>-test or Wilcoxon signed-rank test as adequate according to Leven&#x0027;s test for equal variances and Shapiro-Wilk test for normality using the python package scipy.stats (<xref ref-type="bibr" rid="B39">39</xref>). The correlation was assessed using the Pearson correlation coefficient (<italic>r</italic>) rated according to Taylor (<xref ref-type="bibr" rid="B40">40</xref>). A <italic>p</italic>-value &#x003C;0.05 was assumed statistically significant. The mean value (<italic>m</italic>) and the standard deviation (&#x00B1;, std) of the differences are reported.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3.</label><title>Results</title>
<p>CMR and LAAc were successful in all patients. Two cases (Watchman FLX&#x2122;) were excluded from the XR-CMR comparison due to the non-availability of suited XR data caused by inadequate XR angulations and final device selection solely based on TEE. In two of the remaining 11 cases initially selected devices were underestimated and required subsequent reselection during the ongoing procedure.</p>
<sec id="s3a"><label>3.1.</label><title>Cardiac magnetic resonance imaging of the left atrial appendage</title>
<p>The LAA could be identified, segmented, and measured on the non-contrast-enhanced CMR despite severe arrhythmia in all patient data sets. <xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref> shows MPR views of two LAA anatomies exemplifying the ability of non-contrast-enhanced CMR to identify the LAA anatomy and the landing zone marker Cx. The acquisition duration was depending on the heart rate, arrhythmia rejection, and respiration navigator efficiency but could be kept below 15&#x2005;min in all cases.</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>MPR views of two LAA anatomies (first anatomy (<bold>A&#x2013;C</bold>); second anatomy (<bold>D&#x2013;F</bold>)) exemplifying the ability of non-contrast-enhanced CMR to identify the LAA anatomy and the landing zone marker Cx (white highlighted).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1132626-g004.tif"/>
</fig>
</sec>
<sec id="s3b"><label>3.2.</label><title>Accuracy of 3D-CMR</title>
<p>In all cases, the landing zone measured in XR angiography could be localized in 3D CMR. The reliability of the XR-based measurements was excellent [icc&#x2009;&#x003D;&#x2009;0.95, ci&#x2009;&#x003D;&#x2009;(0.88, 0.99)]. The reliability of the measurements based on CMR was good for d&#x2019;<sub>proj</sub> [icc&#x2009;&#x003D;&#x2009;0.91, ci&#x2009;&#x003D;&#x2009;(0.79, 0.97)], d&#x2019;<sub>max</sub> [icc&#x2009;&#x003D;&#x2009;0.83, ci&#x2009;&#x003D;&#x2009;(0.6, 0.94)], and d&#x2019;<sub>min</sub> [icc&#x2009;&#x003D;&#x2009;0.80, ci&#x2009;&#x003D;&#x2009;(0.56, 0.93)]. The CMR-based measurements d&#x2019;<sub>max</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.83, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) and d&#x2019;<sub>proj</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.82, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) were strongly correlated with XR-based measurements (<xref ref-type="fig" rid="F5">Figures&#x00A0;5A,B</xref>). For all outliers, observed with &#x003E;2&#x2005;mm difference between XR- and MRI-based measurements, the MRI-predicted optimal XR-angulation differed from the classical angulation range. The ovality of the landing zone correlated with the difference of the d<sub>XR</sub> to d&#x2019;<sub>max</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.77, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). d&#x2019;<sub>proj</sub> (<italic>m</italic>&#x2009;&#x003D;&#x2009;0.4&#x2009;&#x00B1;&#x2009;2.5&#x2005;mm, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.63) was in good accordance with d<sub>XR</sub> (<xref ref-type="fig" rid="F5">Figure&#x00A0;5D</xref>). Significant differences were observed for d&#x2019;<sub>max</sub> (<italic>m</italic>&#x2009;&#x003D;&#x2009;2.1&#x2009;&#x00B1;&#x2009;2.6&#x2005;mm, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) with clear overestimation in comparison to the XR measurements (<xref ref-type="fig" rid="F5">Figure&#x00A0;5C</xref>).</p>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>(<bold>A,B</bold>) Correlation and (<bold>C,D</bold>) Bland-Altman analysis of LAA diameters derived from XR (d<sub>XR</sub>) and CMR (d&#x2019;) imaging at identical landing zone. (<bold>A,C</bold>) Shows the CMR-derived maximum diameter (d&#x2019;<sub>max</sub>) and (<bold>B,D</bold>) the diameter of the landing zone parallel to the projection plane (d&#x2019;<sub>proj</sub>). scatter plot: ideal correlation (green dashed line), least square fit through data points (orange line); Bland-Altman plot: zero line (green dashed line), mean difference (orange solid line), limits of agreement (orange dashed line), confidence interval of mean difference (orange area).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1132626-g005.tif"/>
</fig>
</sec>
<sec id="s3c"><label>3.3.</label><title>Cardiac magnetic resonance imaging for LAAc procedure planning</title>
<sec id="s3c1"><label>3.3.1.</label><title>Dimension assessment</title>
<p>All CMR-based measurements, d<sub>max</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.68, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), d<sub>peri</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.77, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), and d<sub>area</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.79, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), had high correlation with XR-based measurements (<xref ref-type="fig" rid="F6">Figures&#x00A0;6A&#x2013;C</xref>). Similar to the CMR-based measurements at the landing zone locations derived from XR (d&#x2019;), d<sub>max</sub> significantly differed from the XR-based measurements (<italic>m</italic>&#x2009;&#x003D;&#x2009;3.3&#x2009;&#x00B1;&#x2009;3.5&#x2005;mm, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), while d<sub>peri</sub> (<italic>m</italic>&#x2009;&#x003D;&#x2009;0.9&#x2009;&#x00B1;&#x2009;2.8&#x2005;mm, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.32) and d<sub>area</sub> (<italic>m</italic>&#x2009;&#x003D;&#x2009;0.3&#x2009;&#x00B1;&#x2009;2.6&#x2005;mm, <italic>p</italic>&#x2009;&#x003D;&#x2009;0.70) did not significantly deviate from d<sub>XR</sub>. All CMR-based measurements, d<sub>max</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.77, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; <italic>m</italic>&#x2009;&#x003D;&#x2009;4.6&#x2009;&#x00B1;&#x2009;2.9&#x2005;mm, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), d<sub>peri</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.87, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; <italic>m</italic>&#x2009;&#x003D;&#x2009;2.2&#x2009;&#x00B1;&#x2009;2.0&#x2005;mm, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), and d<sub>area</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.90, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05; <italic>m</italic>&#x2009;&#x003D;&#x2009;1.6&#x2009;&#x00B1;&#x2009;1.7&#x2005;mm, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), had high to very high correlation with TEE-based measurements but revealed a significant overestimation (<xref ref-type="fig" rid="F6">Figures&#x00A0;6D&#x2013;F</xref>). The Bland-Altman analysis reveals a still rather large confidence interval for all assessed parameters (<xref ref-type="fig" rid="F7">Figure&#x00A0;7</xref>). The ovality of the landing zones derived from CMR correlated with the deviation of d<sub>max</sub> to both, d<sub>XR</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.73, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) and d<sub>TEE</sub> (<italic>r</italic>&#x2009;&#x003D;&#x2009;0.84, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). The statistical analysis values are summarized in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>.</p>
<fig id="F6" position="float"><label>Figure 6</label>
<caption><p>Correlation of LAA diameter at landing zone derived from CMR with (<bold>A&#x2013;C</bold>) diameters derived from XR (d<sub>XR</sub>) and with (<bold>D&#x2013;F</bold>) diameters derived from TEE (d<sub>TEE</sub>). (<bold>A,D</bold>) Shows the maximum diameter d<sub>max</sub>, (<bold>B,E</bold>) diameter derived from perimeter (d<sub>peri</sub>), and (<bold>C,F</bold>) diameter derived from area (d<sub>area</sub>) (ideal correleation: green dashed line; least square fit through data points: orange line).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1132626-g006.tif"/>
</fig>
<fig id="F7" position="float"><label>Figure 7</label>
<caption><p>Bland-Altman analysis of landing zone diameters derived from CMR-based landing zone ((<bold>A, C</bold>) perimeter-derived (d<sub>peri</sub>) and (<bold>B, D</bold>) area-derived (d<sub>area</sub>)) in comparison to diameters derived from (<bold>A,B</bold>) x-ray fluoroscopy (d<sub>XR</sub>) and (<bold>C,D</bold>) transesophageal echocardiography (d<sub>TEE</sub>). (Zero line: green dashed line; mean difference: orange solid line; limits of agreement: orange dashed line; confidence interval of mean difference: orange area).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1132626-g007.tif"/>
</fig>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Comparison of LAA diameters periprocedurally derived from XR (d<sub>XR</sub>) and TEE (d<sub>TEE</sub>) with respective diameters prospectively derived from CMR (maximum: d<sub>max</sub>; perimeter-derived: d<sub>peri</sub>; area-derived: d<sub>area</sub>).</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Mean deviation&#x2009;&#x00B1;&#x2009;standard deviation in mm; <italic>p</italic>-value</th>
<th valign="top" align="center">Pearson correlation coefficient; <italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">d<sub>max</sub> vs. d<sub>XR</sub></td>
<td valign="top" align="center">3.3&#x2009;&#x00B1;&#x2009;3.5; &#x003C;0.05</td>
<td valign="top" align="center">0.68; &#x003C;0.05</td>
</tr>
<tr>
<td valign="top" align="left">d<sub>peri</sub> vs. d<sub>XR</sub></td>
<td valign="top" align="center">0.9&#x2009;&#x00B1;&#x2009;2.8; 0.32</td>
<td valign="top" align="center">0.77; &#x003C;0.05</td>
</tr>
<tr>
<td valign="top" align="left">d<sub>area</sub> vs. d<sub>XR</sub></td>
<td valign="top" align="center">0.3&#x2009;&#x00B1;&#x2009;2.6; 0.70</td>
<td valign="top" align="center">0.79; &#x003C;0.05</td>
</tr>
<tr>
<td valign="top" align="left">d<sub>max</sub> vs. d<sub>TEE</sub></td>
<td valign="top" align="center">4.6&#x2009;&#x00B1;&#x2009;2.9; &#x003C;0.05</td>
<td valign="top" align="center">0.77; &#x003C;0.05</td>
</tr>
<tr>
<td valign="top" align="left">d<sub>peri</sub> vs. d<sub>TEE</sub></td>
<td valign="top" align="center">2.2&#x2009;&#x00B1;&#x2009;2.0; &#x003C;0.05</td>
<td valign="top" align="center">0.87; &#x003C;0.05</td>
</tr>
<tr>
<td valign="top" align="left">d<sub>area</sub> vs. d<sub>TEE</sub></td>
<td valign="top" align="center">1.6&#x2009;&#x00B1;&#x2009;1.7; &#x003C;0.05</td>
<td valign="top" align="center">0.90; &#x003C;0.05</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3c2"><label>3.3.2.</label><title>Angulation prediction</title>
<p>The reliability determinations of optimal angulation prediction on average varied by 7.6&#x00B0;&#x2009;&#x2009;&#x00B1;&#x2009;4.2&#x00B0; with a 95&#x0025; confidence interval of ci&#x2009;&#x003D;&#x2009;(5.3&#x00B0;, 9.9&#x00B0;) between the independent reader. This is in good accordance with ranges reported for transcatheter aortic valve interventions (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). Therefore, deviations in the angulation between XR an CMR predictions &#x003E;10&#x00B0; were considered different.</p>
<p>CMR predicted and periprocedurally used angulations were in good accordance for about 85&#x0025; of cases (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). The angulation predicted by CMR and periprocedurally used were in the recommended range in 54&#x0025; of cases. In 31&#x0025; of cases XR angulation during the procedure had to be adjusted to an angulation outside the recommended range for accurately displaying the LAA, what was predicted by CMR. Of note, in one case reselection of the device was required after initial underestimation in the recommended angulation. In one case (8&#x0025;) CMR predicted an optimal angulation in the recommended range which was not used during the procedure and in one case (8&#x0025;) the recommended angulation range was used during the procedure but predicted differently by CMR.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Confusion matrix CMR proposed and clinically chosen C-arm angulation.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Clinically chosen</th>
<th valign="top" align="center" colspan="2">CMR-derived angulation prediction</th>
</tr>
<tr>
<th valign="top" align="center">Recommended</th>
<th valign="top" align="center">Different &#x003E;10&#x00B0;</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Recommended</td>
<td valign="top" align="center">54&#x0025;</td>
<td valign="top" align="center">8&#x0025;</td>
</tr>
<tr>
<td valign="top" align="left">Different &#x003E;10&#x00B0;</td>
<td valign="top" align="center">8&#x0025;</td>
<td valign="top" align="center">31&#x0025;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>A distinction was made between the clinically recommended angulation range (RAO20-30/CAUD20-30) and angulations differing from this range by more than 10&#x00B0;.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4.</label><title>Discussion</title>
<p>The potential advantages of preprocedural planning for LAAc like improved device size selection and angulation prediction have already been reported for CTA (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B43">43</xref>). By utilizing a non-contrast-enhanced CMR protocol for preprocedural planning, radiation and contrast agent dose might further be reduced in comparison to CTA. This small pilot study showed the possibility of 3D imaging of the LAA of patients with atrial fibrillation using CMR for preprocedural planning.</p>
<p>Dimension assessment of the LAA based on the CMR at the identical landing zone as the XR-derived measurements showed high congruency indicating potential support of CMR for preprocedural planning. The significant differences in maximal diameters between CMR and XR are likely caused by the limited spatial resolution in CMR and non-optimal XR angulation as also previously reported in the context of preprocedural planning for LAAc based on CTA (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B44">44</xref>). This assumption was supported by the correlation of the ovality of the LAA with the deviation between the two modalities. Calculation of the CMR derived diameter at similar angulation direction as the XR clearly improved the agreement between the modalities.</p>
<p>From the current data, using the derived diameters for device selection appears feasible, as already motivated for CTA-based measurements (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B45">45</xref>) and 3D TEE (<xref ref-type="bibr" rid="B16">16</xref>). Alternatively, a new device selection chart might be established for measurements based on 3D imaging as the currently used sizing charts are intended for TEE-based measurements and are intrinsically considering the associated underestimation (<xref ref-type="bibr" rid="B20">20</xref>). Even though underestimation with TEE has been considered in the device sizing chart, a more accurate LAA size measurement with CT has reported to lead to a lower number of re-device selection (<xref ref-type="bibr" rid="B46">46</xref>). LAA dimensions of CMR-derived landing zones overestimated the dimensions derived from TEE significantly, which is in concordance with previous studies (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B47">47</xref>).</p>
<p>Previous studies (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B28">28</xref>), as well as this study, compare periprocedural TEE and fluoroscopy measurements with measurements based on preprocedural data. Differences in observed diameters may be explained by the moment of imaging rather than the imaging modality. Patients undergoing TEE during the procedure generally have been fasting for a while, resulting in a more hypovolemic state. This could lead to underestimation of LAA diameter in XR and TEE imaging. This is in line with the current study, showing larger LAA diameters in CMR compared to XR and TEE. Ideally, imaging modalities should be compared at the same moment to account for this possible bias.</p>
<p>A general limitation in CMR rises from the rather low spatial resolution, which did not allow for clear identification of the trabecular structures in the LAA, and hence a clear landmark for exact determination of the landing zone maybe missing. The difficult landing zone identification in CMR may explain the somehow larger deviations of the CMR-derived measurements for device size prediction as compared to the CMR validation at identical landing zones.</p>
<p>However, even with the potentially non-optimal landing zone derived from CMR successful angulation prediction could be performed. The predicted angulation had high congruency with the final angulation clinically chosen showing the high potential of preprocedural CMR-based angulation determination in saving radiation, contrast agent, and interventional time.</p>
<p>A further limitation for CMR in LAAc procedure planning may rise from the rather long scan time, high related costs, and necessary exclusion of patients with non-MR compatible pacemaker. As such, CMR is unlikely to completely replace CT as preprocedural routine imaging modality. Nonetheless, for patients not suitable for CT, e.g., with impaired renal function, CMR has the great potential to become an alternative non-invasive contrast agent-free imaging modality for providing the information required for preprocedural planning. For assessment of the cost effectiveness of this approach larger blinded studies including the assessment of procedure time, procedural success and long-term patient outcome need to be performed.</p>
<sec id="s4a"><label>4.1.</label><title>Perspectives</title>
<p>The results presented here are based on a small number of single-center cases and should be further investigated on a larger scale. Additionally, the investigated TEE-derived LAA measurements are limited to views acquired at 45&#x00B0;, 90&#x00B0;, and 135&#x00B0;. Including measurement at 0&#x00B0; might further improve the accordance between the TEE- and CMR-derived diameters. Best to our knowledge there is currently no planning software for CMR based planning for LAAc approved as a medical device. Besides the prediction of the XR angulation, the prediction of the optimal TEE angulation could also be investigated as the ovality of the landing zone determined in CMR correlates with the deviation of the maximum MRI-based diameter and the diameters measured in XR and TEE. Furthermore, as it appears that CT- and CMR-based measurements of the LAA are larger compared to TEE- and XR-based measurements, a direct comparison of CT and CMR would be valuable to evaluate the respective advantages and disadvantages in the application of LAAc planning in preprocedural tomographic 3D images. Furthermore, the value of CMR predicting optimal transseptal puncture site for an optimal access to the LAA as well as the support of CMR-based periprocedural image fusion should be investigated as already proposed for CT (<xref ref-type="bibr" rid="B46">46</xref>) during LAAc.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><label>5.</label><title>Conclusions</title>
<p>This pilot study demonstrates the high potential of non-invasive, contrast agent-, and radiation-free CMR imaging in planning for LAAc. Based on the 3D CMR, the shape of the LAA can be evaluated and the landing zone can be determined for dimension assessment and angulation prediction. However, device size selection based on CMR-derived measurements maybe limited by the current sizing charts. Due to the limited accuracy in the maximal diameter the usage of derived diameters seems to be recommended and investigated in future studies.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: DS-GVO. Requests to access these datasets should be directed to <email>volker.rasche@uni-ulm.de</email>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Ethikkommission Universit&#x00E4;t Ulm (Arrhythmia Register Ulm). The patients/participants provided their written informed consent to participate in this study (drks DRKS00015649).</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>DB: data collection and analysis, manuscript drafting. PM, EL: optimization of MRI sequence. BG, TD: performance and contribution to data interpretation. LS: study set up, performance, and contribution to data interpretation. WR, IV, VR: critically revision for intellectual content. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The project on which this report is based was funded by the Federal Ministry of Education and Research under the funding code 13GW0372C. Responsibility for the content of this publication lies with the authors.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We greatly acknowledge the work of our cardio MRI and cath lab teams.</p>
</ack>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The 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="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><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stewart</surname><given-names>S</given-names></name><name><surname>Hart</surname><given-names>CL</given-names></name><name><surname>Hole</surname><given-names>DJ</given-names></name><name><surname>McMurray</surname><given-names>JJ</given-names></name></person-group>. <article-title>A population-based study of the long-term risks associated with atrial fibrillation: 20-year follow-up of the Renfrew/Paisley study</article-title>. <source>Am J Med</source>. (<year>2002</year>) <volume>113</volume>(<issue>5</issue>):<fpage>359</fpage>&#x2013;<lpage>64</lpage>. <pub-id pub-id-type="doi">10.1016/S0002-9343(02)01236-6</pub-id><pub-id pub-id-type="pmid">12401529</pub-id></citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wolf</surname><given-names>PA</given-names></name><name><surname>Abbott</surname><given-names>RD</given-names></name><name><surname>Kannel</surname><given-names>WB</given-names></name></person-group>. <article-title>Atrial fibrillation as an independent risk factor for stroke: the Framingham study</article-title>. <source>Stroke</source>. (<year>1991</year>) <volume>22</volume>(<issue>8</issue>):<fpage>983</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1161/01.STR.22.8.983</pub-id><pub-id pub-id-type="pmid">1866765</pub-id></citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tsao</surname><given-names>CW</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>Alonso</surname><given-names>A</given-names></name><name><surname>Beaton</surname><given-names>AZ</given-names></name><name><surname>Bittencourt</surname><given-names>MS</given-names></name><etal/></person-group> <article-title>Heart disease and stroke statistics-2022 update: a report from the American Heart Association</article-title>. <source>Circulation</source>. (<year>2022</year>) <volume>145</volume>(<issue>8</issue>):<fpage>e153</fpage>&#x2013;<lpage>639</lpage>. <pub-id pub-id-type="doi">10.1161/CIR.0000000000001052</pub-id><pub-id pub-id-type="pmid">35078371</pub-id></citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Di Biase</surname><given-names>L</given-names></name><name><surname>Santangeli</surname><given-names>P</given-names></name><name><surname>Anselmino</surname><given-names>M</given-names></name><name><surname>Mohanty</surname><given-names>P</given-names></name><name><surname>Salvetti</surname><given-names>I</given-names></name><name><surname>Gili</surname><given-names>S</given-names></name><etal/></person-group> <article-title>Does the left atrial appendage morphology correlate with the risk of stroke in patients with atrial fibrillation? Results from a multicenter study</article-title>. <source>J Am Coll Cardiol</source>. (<year>2012</year>) <volume>60</volume>(<issue>6</issue>):<fpage>531</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2012.04.032</pub-id><pub-id pub-id-type="pmid">22858289</pub-id></citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hart</surname><given-names>RG</given-names></name><name><surname>Pearce</surname><given-names>LA</given-names></name><name><surname>Aguilar</surname><given-names>MI</given-names></name></person-group>. <article-title>Meta-analysis: antithrombotic therapy to prevent stroke in patients who have nonvalvular atrial fibrillation</article-title>. <source>Ann Intern Med</source>. (<year>2007</year>) <volume>146</volume>(<issue>12</issue>):<fpage>857</fpage>&#x2013;<lpage>67</lpage>. <pub-id pub-id-type="doi">10.7326/0003-4819-146-12-200706190-00007</pub-id><pub-id pub-id-type="pmid">17577005</pub-id></citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Steinberg</surname><given-names>BA</given-names></name><name><surname>Ballew</surname><given-names>NG</given-names></name><name><surname>Greiner</surname><given-names>MA</given-names></name><name><surname>Lippmann</surname><given-names>SJ</given-names></name><name><surname>Curtis</surname><given-names>LH</given-names></name><name><surname>O&#x0027;Brien</surname><given-names>EC</given-names></name><etal/></person-group> <article-title>Ischemic and bleeding outcomes in patients with atrial fibrillation and contraindications to oral anticoagulation</article-title>. <source>JACC Clin Electrophysiol</source>. (<year>2019</year>) <volume>5</volume>(<issue>12</issue>):<fpage>1384</fpage>&#x2013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacep.2019.07.011</pub-id><pub-id pub-id-type="pmid">31857036</pub-id></citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Collado</surname><given-names>FMS</given-names></name><name><surname>Lama von Buchwald</surname><given-names>CM</given-names></name><name><surname>Anderson</surname><given-names>CK</given-names></name><name><surname>Madan</surname><given-names>N</given-names></name><name><surname>Suradi</surname><given-names>HS</given-names></name><name><surname>Huang</surname><given-names>HD</given-names></name><etal/></person-group> <article-title>Left atrial appendage occlusion for stroke prevention in nonvalvular atrial fibrillation</article-title>. <source>J Am Heart Assoc</source>. (<year>2021</year>) <volume>10</volume>(<issue>21</issue>):<fpage>e022274</fpage>. <pub-id pub-id-type="doi">10.1161/JAHA.121.022274</pub-id><pub-id pub-id-type="pmid">34668395</pub-id></citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gonzalez-Casal</surname><given-names>D</given-names></name><name><surname>Datino</surname><given-names>T</given-names></name><name><surname>Soto</surname><given-names>N</given-names></name><name><surname>Gonz&#x00E1;lez-Panizo</surname><given-names>J</given-names></name><name><surname>S&#x00E1;nchez-Quintana</surname><given-names>D</given-names></name><name><surname>Macias</surname><given-names>Y</given-names></name><etal/></person-group> <article-title>Anatomie des linken Vorhofohrs aus der Perspektive des kardiologischen Interventionalisten</article-title>. <source>Herzschr Elektrophys</source>. (<year>2022</year>) <volume>33</volume>(<issue>2</issue>):<fpage>195</fpage>&#x2013;<lpage>202</lpage>. <pub-id pub-id-type="doi">10.1007/s00399-022-00866-8</pub-id></citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Freixa</surname><given-names>X</given-names></name><name><surname>Aminian</surname><given-names>A</given-names></name><name><surname>Tzikas</surname><given-names>A</given-names></name><name><surname>Saw</surname><given-names>J</given-names></name><name><surname>Nielsen-Kudsk</surname><given-names>J-E</given-names></name><name><surname>Ghanem</surname><given-names>A</given-names></name><etal/></person-group> <article-title>Left atrial appendage occlusion with the amplatzer amulet: update on device sizing</article-title>. <source>J Interv Card Electrophysiol</source>. (<year>2020</year>) <volume>59</volume>(<issue>1</issue>):<fpage>71</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1007/s10840-019-00699-5</pub-id><pub-id pub-id-type="pmid">32166532</pub-id></citation></ref>
<ref id="B10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kar</surname><given-names>S</given-names></name><name><surname>Doshi</surname><given-names>SK</given-names></name><name><surname>Sadhu</surname><given-names>A</given-names></name><name><surname>Horton</surname><given-names>R</given-names></name><name><surname>Osorio</surname><given-names>J</given-names></name><name><surname>Ellis</surname><given-names>C</given-names></name><etal/></person-group> <article-title>Primary outcome evaluation of a next-generation left atrial appendage closure device: results from the PINNACLE FLX trial</article-title>. <source>Circulation</source>. (<year>2021</year>) <volume>143</volume>(<issue>18</issue>):<fpage>1754</fpage>&#x2013;<lpage>62</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.120.050117</pub-id><pub-id pub-id-type="pmid">33820423</pub-id></citation></ref>
<ref id="B11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Doherty</surname><given-names>JU</given-names></name><name><surname>Kort</surname><given-names>S</given-names></name><name><surname>Mehran</surname><given-names>R</given-names></name><name><surname>Schoenhagen</surname><given-names>P</given-names></name><name><surname>Soman</surname><given-names>P</given-names></name><name><surname>Dehmer</surname><given-names>GJ</given-names></name><etal/></person-group> <article-title>ACC/AATS/AHA/ASE/ASNC/HRS/SCAI/SCCT/SCMR/STS 2019 appropriate use criteria for multimodality imaging in the assessment of cardiac structure and function in nonvalvular heart disease: a report of the American college of cardiology appropriate use criteria task force, American association for thoracic surgery, American heart association, American society of echocardiography, American society of nuclear cardiology, heart rhythm society, society for cardiovascular angiography and interventions, society of cardiovascular computed tomography, society for cardiovascular magnetic resonance, and the society of thoracic surgeons</article-title>. <source>J Am Coll Cardiol</source>. (<year>2019</year>) <volume>73</volume>(<issue>4</issue>):<fpage>488</fpage>&#x2013;<lpage>516</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2018.10.038</pub-id><pub-id pub-id-type="pmid">30630640</pub-id></citation></ref>
<ref id="B12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chue</surname><given-names>CD</given-names></name><name><surname>de Giovanni</surname><given-names>J</given-names></name><name><surname>Steeds</surname><given-names>RP</given-names></name></person-group>. <article-title>The role of echocardiography in percutaneous left atrial appendage occlusion</article-title>. <source>Eur J Echocardiogr</source>. (<year>2011</year>) <volume>12</volume>(<issue>10</issue>):<fpage>i3</fpage>&#x2013;<lpage>10</lpage>. <pub-id pub-id-type="doi">10.1093/ejechocard/jer090</pub-id><pub-id pub-id-type="pmid">21998466</pub-id></citation></ref>
<ref id="B13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rajiah</surname><given-names>P</given-names></name><name><surname>Alkhouli</surname><given-names>M</given-names></name><name><surname>Thaden</surname><given-names>J</given-names></name><name><surname>Foley</surname><given-names>T</given-names></name><name><surname>Williamson</surname><given-names>E</given-names></name><name><surname>Ranganath</surname><given-names>P</given-names></name></person-group>. <article-title>Pre- and postprocedural CT of transcatheter left atrial appendage closure devices</article-title>. <source>Radiographics</source>. (<year>2021</year>) <volume>41</volume>(<issue>3</issue>):<fpage>680</fpage>&#x2013;<lpage>98</lpage>. <pub-id pub-id-type="doi">10.1148/rg.2021200136</pub-id><pub-id pub-id-type="pmid">33939541</pub-id></citation></ref>
<ref id="B14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nucifora</surname><given-names>G</given-names></name><name><surname>Faletra</surname><given-names>FF</given-names></name><name><surname>Regoli</surname><given-names>F</given-names></name><name><surname>Pasotti</surname><given-names>E</given-names></name><name><surname>Pedrazzini</surname><given-names>G</given-names></name><name><surname>Moccetti</surname><given-names>T</given-names></name><etal/></person-group> <article-title>Evaluation of the left atrial appendage with real-time 3-dimensional transesophageal echocardiography: implications for catheter-based left atrial appendage closure</article-title>. <source>Circ Cardiovasc Imaging</source>. (<year>2011</year>) <volume>4</volume>(<issue>5</issue>):<fpage>514</fpage>&#x2013;<lpage>23</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCIMAGING.111.963892</pub-id><pub-id pub-id-type="pmid">21737601</pub-id></citation></ref>
<ref id="B15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Budge</surname><given-names>LP</given-names></name><name><surname>Shaffer</surname><given-names>KM</given-names></name><name><surname>Moorman</surname><given-names>JR</given-names></name><name><surname>Lake</surname><given-names>DE</given-names></name><name><surname>Ferguson</surname><given-names>JD</given-names></name><name><surname>Mangrum</surname><given-names>JM</given-names></name></person-group>. <article-title>Analysis of in vivo left atrial appendage morphology in patients with atrial fibrillation: a direct comparison of transesophageal echocardiography, planar cardiac CT, and segmented three-dimensional cardiac CT</article-title>. <source>J Interv Card Electrophysiol</source>. (<year>2008</year>) <volume>23</volume>(<issue>2</issue>):<fpage>87</fpage>&#x2013;<lpage>93</lpage>. <pub-id pub-id-type="doi">10.1007/s10840-008-9281-7</pub-id><pub-id pub-id-type="pmid">18686024</pub-id></citation></ref>
<ref id="B16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Al-Kassou</surname><given-names>B</given-names></name><name><surname>Tzikas</surname><given-names>A</given-names></name><name><surname>Stock</surname><given-names>F</given-names></name><name><surname>Neikes</surname><given-names>F</given-names></name><name><surname>V&#x00F6;lz</surname><given-names>A</given-names></name><name><surname>Omran</surname><given-names>H</given-names></name></person-group>. <article-title>A comparison of two-dimensional and real-time 3D transoesophageal echocardiography and angiography for assessing the left atrial appendage anatomy for sizing a left atrial appendage occlusion system: impact of volume loading</article-title>. <source>EuroIntervention</source>. (<year>2017</year>) <volume>12</volume>(<issue>17</issue>):<fpage>2083</fpage>&#x2013;<lpage>91</lpage>. <pub-id pub-id-type="doi">10.4244/EIJ-D-15-00543</pub-id><pub-id pub-id-type="pmid">27973328</pub-id></citation></ref>
<ref id="B17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>DD</given-names></name><name><surname>Eng</surname><given-names>M</given-names></name><name><surname>Kupsky</surname><given-names>D</given-names></name><name><surname>Myers</surname><given-names>E</given-names></name><name><surname>Forbes</surname><given-names>M</given-names></name><name><surname>Rahman</surname><given-names>M</given-names></name><etal/></person-group> <article-title>Application of 3-dimensional computed tomographic image guidance to WATCHMAN implantation and impact on early operator learning curve: single-center experience</article-title>. <source>JACC Cardiovasc Interv</source>. (<year>2016</year>) <volume>9</volume>(<issue>22</issue>):<fpage>2329</fpage>&#x2013;<lpage>40</lpage>. <pub-id pub-id-type="doi">10.1016/j.jcin.2016.07.038</pub-id><pub-id pub-id-type="pmid">27884358</pub-id></citation></ref>
<ref id="B18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Goitein</surname><given-names>O</given-names></name><name><surname>Fink</surname><given-names>N</given-names></name><name><surname>Hay</surname><given-names>I</given-names></name><name><surname>Di Segni</surname><given-names>E</given-names></name><name><surname>Guetta</surname><given-names>V</given-names></name><name><surname>Goitein</surname><given-names>D</given-names></name><etal/></person-group> <article-title>Cardiac CT angiography (CCTA) predicts left atrial appendage occluder device size and procedure outcome</article-title>. <source>Int J Cardiovasc Imaging</source>. (<year>2017</year>) <volume>33</volume>(<issue>5</issue>):<fpage>739</fpage>&#x2013;<lpage>47</lpage>. <pub-id pub-id-type="doi">10.1007/s10554-016-1050-6</pub-id><pub-id pub-id-type="pmid">28070743</pub-id></citation></ref>
<ref id="B19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>L&#x00F3;pez-M&#x00ED;nguez</surname><given-names>JR</given-names></name><name><surname>Gonz&#x00E1;lez-Fern&#x00E1;ndez</surname><given-names>R</given-names></name><name><surname>Fern&#x00E1;ndez-Vegas</surname><given-names>C</given-names></name><name><surname>Mill&#x00E1;n-Nu&#x00F1;ez</surname><given-names>V</given-names></name><name><surname>Fuentes-Ca&#x00F1;amero</surname><given-names>ME</given-names></name><name><surname>Nogales-Asensio</surname><given-names>JM</given-names></name><etal/></person-group> <article-title>Comparison of imaging techniques to assess appendage anatomy and measurements for left atrial appendage closure device selection</article-title>. <source>J Invasive Cardiol</source>. (<year>2014</year>) <volume>26</volume>:<fpage>462</fpage>&#x2013;<lpage>7</lpage>.</citation></ref>
<ref id="B20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cho</surname><given-names>I</given-names></name><name><surname>Kim</surname><given-names>WD</given-names></name><name><surname>Lee</surname><given-names>OH</given-names></name><name><surname>Cha</surname><given-names>MJ</given-names></name><name><surname>Seo</surname><given-names>J</given-names></name><name><surname>Shim</surname><given-names>CY</given-names></name><etal/></person-group> <article-title>Pre-procedural determination of device size in left atrial appendage occlusion using three-dimensional cardiac computed tomography</article-title>. <source>Sci Rep</source>. (<year>2021</year>) <volume>11</volume>(<issue>1</issue>):<fpage>24107</fpage>. <pub-id pub-id-type="doi">10.1038/s41598-021-03537-9</pub-id><pub-id pub-id-type="pmid">34916575</pub-id></citation></ref>
<ref id="B21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Korsholm</surname><given-names>K</given-names></name><name><surname>Berti</surname><given-names>S</given-names></name><name><surname>Iriart</surname><given-names>X</given-names></name><name><surname>Saw</surname><given-names>J</given-names></name><name><surname>Wang</surname><given-names>DD</given-names></name><name><surname>Cochet</surname><given-names>H</given-names></name><etal/></person-group> <article-title>Expert recommendations on cardiac computed tomography for planning transcatheter left atrial appendage occlusion</article-title>. <source>JACC Cardiovasc Interv</source>. (<year>2020</year>) <volume>13</volume>(<issue>3</issue>):<fpage>277</fpage>&#x2013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.1016/j.jcin.2019.08.054</pub-id><pub-id pub-id-type="pmid">31678086</pub-id></citation></ref>
<ref id="B22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dutcher</surname><given-names>J</given-names></name><name><surname>Schmidt</surname><given-names>W</given-names></name><name><surname>Dahl</surname><given-names>P</given-names></name><name><surname>Humbert</surname><given-names>J</given-names></name></person-group>. <article-title>Echopixel 3D CT vs. transesophageal echocardiography for pre-procedural planning of watchman implantation</article-title>. <source>J Am Coll Cardiol</source> (<year>2020</year>) <volume>75</volume>(<issue>11</issue>):<fpage>1206</fpage>. <pub-id pub-id-type="doi">10.1016/S0735-1097(20)31833-7</pub-id></citation></ref>
<ref id="B23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rajwani</surname><given-names>A</given-names></name><name><surname>Nelson</surname><given-names>AJ</given-names></name><name><surname>Shirazi</surname><given-names>MG</given-names></name><name><surname>Disney</surname><given-names>PJS</given-names></name><name><surname>Teo</surname><given-names>KSL</given-names></name><name><surname>Wong</surname><given-names>DTL</given-names></name><etal/></person-group> <article-title>CT sizing for left atrial appendage closure is associated with favourable outcomes for procedural safety</article-title>. <source>Eur Heart J Cardiovasc Imaging</source>. (<year>2017</year>) <volume>18</volume>(<issue>12</issue>):<fpage>1361</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1093/ehjci/jew212</pub-id><pub-id pub-id-type="pmid">28013284</pub-id></citation></ref>
<ref id="B24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Eng</surname><given-names>MH</given-names></name><name><surname>Wang</surname><given-names>DD</given-names></name><name><surname>Greenbaum</surname><given-names>AB</given-names></name><name><surname>Gheewala</surname><given-names>N</given-names></name><name><surname>Kupsky</surname><given-names>D</given-names></name><name><surname>Aka</surname><given-names>T</given-names></name><etal/></person-group> <article-title>Prospective, randomized comparison of 3-dimensional computed tomography guidance versus TEE data for left atrial appendage occlusion (PRO3DLAAO)</article-title>. <source>Catheter Cardiovasc Interv</source>. (<year>2018</year>) <volume>92</volume>(<issue>2</issue>):<fpage>401</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1002/ccd.27514</pub-id><pub-id pub-id-type="pmid">29388306</pub-id></citation></ref>
<ref id="B25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kitkungvan</surname><given-names>D</given-names></name><name><surname>Nabi</surname><given-names>F</given-names></name><name><surname>Ghosn</surname><given-names>MG</given-names></name><name><surname>Dave</surname><given-names>AS</given-names></name><name><surname>Quinones</surname><given-names>M</given-names></name><name><surname>Zoghbi</surname><given-names>WA</given-names></name><etal/></person-group> <article-title>Detection of LA and LAA thrombus by CMR in patients referred for pulmonary vein isolation</article-title>. <source>JACC Cardiovasc Imaging</source>. (<year>2016</year>) <volume>9</volume>(<issue>7</issue>):<fpage>809</fpage>&#x2013;<lpage>18</lpage>. <pub-id pub-id-type="doi">10.1016/j.jcmg.2015.11.029</pub-id><pub-id pub-id-type="pmid">27236529</pub-id></citation></ref>
<ref id="B26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vira</surname><given-names>T</given-names></name><name><surname>Pechlivanoglou</surname><given-names>P</given-names></name><name><surname>Connelly</surname><given-names>K</given-names></name><name><surname>Wijeysundera</surname><given-names>HC</given-names></name><name><surname>Roifman</surname><given-names>I</given-names></name></person-group>. <article-title>Cardiac computed tomography and magnetic resonance imaging vs. transoesophageal echocardiography for diagnosing left atrial appendage thrombi</article-title>. <source>Europace</source>. (<year>2019</year>) <volume>21</volume>(<issue>1</issue>):<fpage>e1</fpage>&#x2013;<lpage>e10</lpage>. <pub-id pub-id-type="doi">10.1093/europace/euy142</pub-id><pub-id pub-id-type="pmid">29961869</pub-id></citation></ref>
<ref id="B27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname><given-names>WD</given-names></name><name><surname>Cho</surname><given-names>I</given-names></name><name><surname>Kim</surname><given-names>YD</given-names></name><name><surname>Cha</surname><given-names>MJ</given-names></name><name><surname>Kim</surname><given-names>S-W</given-names></name><name><surname>Choi</surname><given-names>Y</given-names></name><etal/></person-group> <article-title>Improving left atrial appendage occlusion device size determination by three-dimensional printing-based preprocedural simulation</article-title>. <source>Front Cardiovasc Med</source>. (<year>2022</year>) <volume>9</volume>:<fpage>830062</fpage>. <pub-id pub-id-type="doi">10.3389/fcvm.2022.830062</pub-id><pub-id pub-id-type="pmid">35252401</pub-id></citation></ref>
<ref id="B28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hell</surname><given-names>MM</given-names></name><name><surname>Achenbach</surname><given-names>S</given-names></name><name><surname>Yoo</surname><given-names>IS</given-names></name><name><surname>Franke</surname><given-names>J</given-names></name><name><surname>Blachutzik</surname><given-names>F</given-names></name><name><surname>Roether</surname><given-names>J</given-names></name><etal/></person-group> <article-title>3D printing for sizing left atrial appendage closure device: head-to-head comparison with computed tomography and transoesophageal echocardiography</article-title>. <source>EuroIntervention</source>. (<year>2017</year>) <volume>13</volume>(<issue>10</issue>):<fpage>1234</fpage>&#x2013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.4244/EIJ-D-17-00359</pub-id><pub-id pub-id-type="pmid">28671551</pub-id></citation></ref>
<ref id="B29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bertsche</surname><given-names>D</given-names></name><name><surname>Reinelt</surname><given-names>A</given-names></name><name><surname>Metze</surname><given-names>P</given-names></name><name><surname>Rasche</surname><given-names>V</given-names></name><name><surname>Dahme</surname><given-names>T</given-names></name><name><surname>Schneider</surname><given-names>L-M</given-names></name><etal/></person-group> <article-title>MRI-based 3D silicone model for left atrial appendage occluder device size determination</article-title>. <source>Int J CARS</source>. (<year>2022</year>) <volume>17</volume>(<issue>Suppl 1</issue>):<fpage>73</fpage>&#x2013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1007/s11548-022-02635-x</pub-id></citation></ref>
<ref id="B30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aguado</surname><given-names>AM</given-names></name><name><surname>Olivares</surname><given-names>AL</given-names></name><name><surname>Yag&#x00FC;e</surname><given-names>C</given-names></name><name><surname>Silva</surname><given-names>E</given-names></name><name><surname>Nu&#x00F1;ez-Garc&#x00ED;a</surname><given-names>M</given-names></name><name><surname>Fernandez-Quilez</surname><given-names>&#x00C1;</given-names></name><etal/></person-group> <article-title>In silico optimization of left atrial appendage occluder implantation using interactive and modeling tools</article-title>. <source>Front Physiol</source>. (<year>2019</year>) <volume>10</volume>:<fpage>237</fpage>. <pub-id pub-id-type="doi">10.3389/fphys.2019.00237</pub-id><pub-id pub-id-type="pmid">30967786</pub-id></citation></ref>
<ref id="B31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Glikson</surname><given-names>M</given-names></name><name><surname>Wolff</surname><given-names>R</given-names></name><name><surname>Hindricks</surname><given-names>G</given-names></name><name><surname>Mandrola</surname><given-names>J</given-names></name><name><surname>Camm</surname><given-names>AJ</given-names></name><name><surname>Lip</surname><given-names>GYH</given-names></name><etal/></person-group> <article-title>EHRA/EAPCI expert consensus statement on catheter-based left atrial appendage occlusion&#x2014;an update</article-title>. <source>EuroIntervention</source>. (<year>2020</year>) <volume>15</volume>(<issue>13</issue>):<fpage>1133</fpage>&#x2013;<lpage>80</lpage>. <pub-id pub-id-type="doi">10.4244/EIJY19M08_01</pub-id><pub-id pub-id-type="pmid">31474583</pub-id></citation></ref>
<ref id="B32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Homsi</surname><given-names>R</given-names></name><name><surname>Meier-Schroers</surname><given-names>M</given-names></name><name><surname>Gieseke</surname><given-names>J</given-names></name><name><surname>Dabir</surname><given-names>D</given-names></name><name><surname>Luetkens</surname><given-names>JA</given-names></name><name><surname>Kuetting</surname><given-names>DL</given-names></name><etal/></person-group> <article-title>3D-dixon MRI based volumetry of peri- and epicardial fat</article-title>. <source>Int J Cardiovasc Imaging</source>. (<year>2016</year>) <volume>32</volume>(<issue>2</issue>):<fpage>291</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1007/s10554-015-0778-8</pub-id><pub-id pub-id-type="pmid">26424492</pub-id></citation></ref>
<ref id="B33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Saw</surname><given-names>J</given-names></name><name><surname>Fahmy</surname><given-names>P</given-names></name><name><surname>Spencer</surname><given-names>R</given-names></name><name><surname>Prakash</surname><given-names>R</given-names></name><name><surname>McLaughlin</surname><given-names>P</given-names></name><name><surname>Nicolaou</surname><given-names>S</given-names></name><etal/></person-group> <article-title>Comparing measurements of CT angiography, TEE, and fluoroscopy of the left atrial appendage for percutaneous closure</article-title>. <source>J Cardiovasc Electrophysiol</source>. (<year>2016</year>) <volume>27</volume>(<issue>4</issue>):<fpage>414</fpage>&#x2013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1111/jce.12909</pub-id><pub-id pub-id-type="pmid">26728988</pub-id></citation></ref>
<ref id="B34"><label>34.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fedorov</surname><given-names>A</given-names></name><name><surname>Beichel</surname><given-names>R</given-names></name><name><surname>Kalpathy-Cramer</surname><given-names>J</given-names></name><name><surname>Finet</surname><given-names>J</given-names></name><name><surname>Fillion-Robin</surname><given-names>J-C</given-names></name><name><surname>Pujol</surname><given-names>S</given-names></name><etal/></person-group> <article-title>3D slicer as an image computing platform for the quantitative imaging network</article-title>. <source>Magn Reson Imaging</source>. (<year>2012</year>) <volume>30</volume>(<issue>9</issue>):<fpage>1323</fpage>&#x2013;<lpage>41</lpage>. <pub-id pub-id-type="doi">10.1016/j.mri.2012.05.001</pub-id><pub-id pub-id-type="pmid">22770690</pub-id></citation></ref>
<ref id="B35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vernikouskaya</surname><given-names>I</given-names></name><name><surname>Bertsche</surname><given-names>D</given-names></name><name><surname>Rottbauer</surname><given-names>W</given-names></name><name><surname>Rasche</surname><given-names>V</given-names></name></person-group>. <article-title>3D-XGuide: open-source x-ray navigation guidance system</article-title>. <source>Int J CARS</source>. (<year>2021</year>) <volume>16</volume>(<issue>1</issue>):<fpage>53</fpage>&#x2013;<lpage>63</lpage>. <pub-id pub-id-type="doi">10.1007/s11548-020-02274-0</pub-id></citation></ref>
<ref id="B36"><label>36.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bertsche</surname><given-names>D</given-names></name><name><surname>Rasche</surname><given-names>V</given-names></name><name><surname>Rottbauer</surname><given-names>W</given-names></name><name><surname>Vernikouskaya</surname><given-names>I</given-names></name></person-group>. <article-title>3D localization from 2D x-ray projection</article-title>. <source>Int J CARS</source>. (<year>2022</year>) <volume>17</volume>:<fpage>1</fpage>&#x2013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1007/s11548-022-02709-w</pub-id></citation></ref>
<ref id="B37"><label>37.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vallat</surname><given-names>R</given-names></name></person-group>. <article-title>Pingouin: statistics in python</article-title>. <source>J Syst Softw</source>. (<year>2018</year>) <volume>3</volume>(<issue>31</issue>):<fpage>1026</fpage>. <pub-id pub-id-type="doi">10.21105/joss.01026</pub-id></citation></ref>
<ref id="B38"><label>38.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Koo</surname><given-names>TK</given-names></name><name><surname>Li</surname><given-names>MY</given-names></name></person-group>. <article-title>A guideline of selecting and reporting intraclass correlation coefficients for reliability research</article-title>. <source>J Chiropr Med</source>. (<year>2016</year>) <volume>15</volume>(<issue>2</issue>):<fpage>155</fpage>&#x2013;<lpage>63</lpage>. <pub-id pub-id-type="doi">10.1016/j.jcm.2016.02.012</pub-id><pub-id pub-id-type="pmid">27330520</pub-id></citation></ref>
<ref id="B39"><label>39.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Virtanen</surname><given-names>P</given-names></name><name><surname>Gommers</surname><given-names>R</given-names></name><name><surname>Oliphant</surname><given-names>TE</given-names></name><name><surname>Haberland</surname><given-names>M</given-names></name><name><surname>Reddy</surname><given-names>T</given-names></name><name><surname>Cournapeau</surname><given-names>D</given-names></name><etal/></person-group> <article-title>Scipy 1.0: fundamental algorithms for scientific computing in python</article-title>. <source>Nat Methods</source>. (<year>2020</year>) <volume>17</volume>(<issue>3</issue>):<fpage>261</fpage>&#x2013;<lpage>72</lpage>. <pub-id pub-id-type="doi">10.1038/s41592-019-0686-2</pub-id><pub-id pub-id-type="pmid">32015543</pub-id></citation></ref>
<ref id="B40"><label>40.</label><citation citation-type="other"><person-group person-group-type="author"><name><surname>Taylor</surname><given-names>R</given-names></name></person-group>. <article-title>Interpretation of the correlation coefficient: a basic review</article-title>. <source>JDMS</source>. (<year>1990</year>) <volume>6</volume>:<fpage>35</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1177/875647939000600106</pub-id></citation></ref>
<ref id="B41"><label>41.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mehier</surname><given-names>B</given-names></name><name><surname>Dubourg</surname><given-names>B</given-names></name><name><surname>Eltchaninoff</surname><given-names>H</given-names></name><name><surname>Durand</surname><given-names>E</given-names></name><name><surname>Tron</surname><given-names>C</given-names></name><name><surname>Cribier</surname><given-names>A</given-names></name><etal/></person-group> <article-title>MDCT planning of trans catheter aortic valve implantation (TAVI): determination of optimal c-arm angulation</article-title>. <source>Int J Cardiovasc Imaging</source>. (<year>2020</year>) <volume>36</volume>(<issue>8</issue>):<fpage>1551</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1007/s10554-020-01846-0</pub-id><pub-id pub-id-type="pmid">32306158</pub-id></citation></ref>
<ref id="B42"><label>42.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Binder</surname><given-names>RK</given-names></name><name><surname>Leipsic</surname><given-names>J</given-names></name><name><surname>Wood</surname><given-names>D</given-names></name><name><surname>Moore</surname><given-names>T</given-names></name><name><surname>Toggweiler</surname><given-names>S</given-names></name><name><surname>Willson</surname><given-names>A</given-names></name><etal/></person-group> <article-title>Prediction of optimal deployment projection for transcatheter aortic valve replacement: angiographic 3-dimensional reconstruction of the aortic root versus multidetector computed tomography</article-title>. <source>Circ Cardiovasc Interv</source>. (<year>2012</year>) <volume>5</volume>(<issue>2</issue>):<fpage>247</fpage>&#x2013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCINTERVENTIONS.111.966531</pub-id><pub-id pub-id-type="pmid">22438432</pub-id></citation></ref>
<ref id="B43"><label>43.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Spaziano</surname><given-names>M</given-names></name><name><surname>Th&#x00E9;riault-Lauzier</surname><given-names>P</given-names></name><name><surname>Meti</surname><given-names>N</given-names></name><name><surname>Vaquerizo</surname><given-names>B</given-names></name><name><surname>Blanke</surname><given-names>P</given-names></name><name><surname>Deli-Hussein</surname><given-names>J</given-names></name><etal/></person-group> <article-title>Optimal fluoroscopic viewing angles of left-sided heart structures in patients with aortic stenosis and mitral regurgitation based on multislice computed tomography</article-title>. <source>J Cardiovasc Comput Tomogr</source>. (<year>2016</year>) <volume>10</volume>(<issue>2</issue>):<fpage>162</fpage>&#x2013;<lpage>72</lpage>. <pub-id pub-id-type="doi">10.1016/j.jcct.2015.12.007</pub-id><pub-id pub-id-type="pmid">26732861</pub-id></citation></ref>
<ref id="B44"><label>44.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hell</surname><given-names>MM</given-names></name><name><surname>Achenbach</surname><given-names>S</given-names></name></person-group>. <article-title>CT support of cardiac structural interventions</article-title>. <source>Br J Radiol</source>. (<year>2019</year>) <volume>92</volume>(<issue>1098</issue>):<fpage>20180707</fpage>. <pub-id pub-id-type="doi">10.1259/bjr.20180707</pub-id><pub-id pub-id-type="pmid">30855985</pub-id></citation></ref>
<ref id="B45"><label>45.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname><given-names>Y</given-names></name><name><surname>Di Biase</surname><given-names>L</given-names></name><name><surname>Horton</surname><given-names>RP</given-names></name><name><surname>Nguyen</surname><given-names>T</given-names></name><name><surname>Morhanty</surname><given-names>P</given-names></name><name><surname>Natale</surname><given-names>A</given-names></name></person-group>. <article-title>Left atrial appendage studied by computed tomography to help planning for appendage closure device placement</article-title>. <source>J Cardiovasc Electrophysiol</source>. (<year>2010</year>) <volume>21</volume>(<issue>9</issue>):<fpage>973</fpage>&#x2013;<lpage>82</lpage>. <pub-id pub-id-type="doi">10.1111/j.1540-8167.2010.01814.x</pub-id><pub-id pub-id-type="pmid">20550614</pub-id></citation></ref>
<ref id="B46"><label>46.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mo</surname><given-names>B-F</given-names></name><name><surname>Wan</surname><given-names>Y</given-names></name><name><surname>Alimu</surname><given-names>A</given-names></name><name><surname>Sun</surname><given-names>J</given-names></name><name><surname>Zhang</surname><given-names>P-P</given-names></name><name><surname>Yu</surname><given-names>Y</given-names></name><etal/></person-group> <article-title>Image fusion of integrating fluoroscopy into 3D computed tomography in guidance of left atrial appendage closure</article-title>. <source>Eur Heart J Cardiovasc Imaging</source>. (<year>2021</year>) <volume>22</volume>(<issue>1</issue>):<fpage>92</fpage>&#x2013;<lpage>101</lpage>. <pub-id pub-id-type="doi">10.1093/ehjci/jez286</pub-id><pub-id pub-id-type="pmid">31764982</pub-id></citation></ref>
<ref id="B47"><label>47.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bai</surname><given-names>W</given-names></name><name><surname>Chen</surname><given-names>Z</given-names></name><name><surname>Tang</surname><given-names>H</given-names></name><name><surname>Wang</surname><given-names>H</given-names></name><name><surname>Cheng</surname><given-names>W</given-names></name><name><surname>Rao</surname><given-names>L</given-names></name></person-group>. <article-title>Assessment of the left atrial appendage structure and morphology: comparison of real-time three-dimensional transesophageal echocardiography and computed tomography</article-title>. <source>Int J Cardiovasc Imaging</source>. (<year>2017</year>) <volume>33</volume>(<issue>5</issue>):<fpage>623</fpage>&#x2013;<lpage>33</lpage>. <pub-id pub-id-type="doi">10.1093/ehjci/jez286</pub-id><pub-id pub-id-type="pmid">28012051</pub-id></citation></ref></ref-list>
</back>
</article>