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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.2025.1595889</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>Advantages of hybrid intravascular ultrasound-optical coherence tomography system in clinical practice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Xie</surname><given-names>Yangfeng</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3008643/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Han</surname><given-names>Wenbo</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Shuai</given-names></name><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Jia</surname><given-names>Wenhao</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/2071513/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Yunxiao</given-names></name><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Jie</given-names></name><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Chen</surname><given-names>Buxing</given-names></name>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff><institution>Department of Cardiology, Beijing University of Chinese Medicine Third Affiliated Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Antonios Karanasos, General University Hospital of Patras, Greece</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Ankush Gupta, Army Institute of Cardiothoracic Sciences (AICTS), India</p>
<p>Yoshinobu Murasato, National Hospital Organization Kyushu Medical Center, Japan</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Buxing Chen <email>chbux@126.com</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>04</day><month>07</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>12</volume><elocation-id>1595889</elocation-id>
<history>
<date date-type="received"><day>18</day><month>03</month><year>2025</year></date>
<date date-type="accepted"><day>23</day><month>06</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Xie, Han, Wang, Jia, Wang, Li and Chen.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Xie, Han, Wang, Jia, Wang, Li and Chen</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>Background</title>
<p>While the hybrid intravascular ultrasound-optical coherence tomography (IVUS-OCT) imaging system offers theoretical advantages for enhanced characterization of vascular morphology and histopathology through multimodal integration, its clinical efficacy lacks systematic validation. We conducted a comprehensive comparative analysis of this novel hybrid imaging modality against conventional single-modality OCT and IVUS systems, aiming to establish an evidence-based foundation for its clinical implementation and broader adoption in interventional cardiology practice.</p>
</sec><sec><title>Objective</title>
<p>To evaluate the clinical advantages of hybrid intravascular ultrasound-optical coherence tomography (IVUS-OCT) system compared with single-modality imaging techniques in clinical practice.</p>
</sec><sec><title>Methods</title>
<p>The hybrid IVUS-OCT intracoronary imaging system was employed to evaluate the characteristics of coronary atherosclerotic plaques and the immediate post-stent outcomes and compared against single-modality OCT and IVUS. The post-stent immediate effects were evaluated by the clear stent capture rate (CSCR), identification of incomplete stent apposition, tissue protrusion, and stent edge dissection.</p>
</sec><sec><title>Results</title>
<p>74 patients underwent successful hybrid imaging (82 vessels imaged). Plaque analysis (23 vessels) identified 41 plaques [21 lipid, 20 calcified, 2 thin-cap fibroatheromas (TCFAs)]. OCT alone detected 21 lipid, 16 calcified, 3 possible TCFAs (maximal calcified arc accuracy: 68.75&#x0025;). IVUS alone detected 15 lipid, 20 calcified, 0 TCFAs (maximal calcified arc accuracy: 85&#x0025;). For post-stent evaluation (74 vessels), hybrid imaging visualized all stents (CSCR&#x2009;&#x003D;&#x2009;100&#x0025;), detecting 23 incomplete stent apposition, 10 tissue protrusions, and 10 edge dissections. OCT detected 66 CSCR (89.19&#x0025;), 23 incomplete stent apposition (100&#x0025;), 10 tissue protrusions (100&#x0025;), and 10 edge dissections (100&#x0025;). IVUS detected 37 CSCR (50&#x0025;), 8 incomplete stent apposition (34.78&#x0025;), 2 tissue protrusions (20&#x0025;), and 7 edge dissections (70&#x0025;). Hybrid IVUS-OCT and OCT significantly outperformed IVUS in CSCR, tissue protrusion, and incomplete stent apposition detection (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05).</p>
</sec><sec><title>Conclusion</title>
<p>The hybrid IVUS-OCT intracoronary imaging system outperforms single-modality IVUS or OCT in evaluating coronary atherosclerotic plaque characteristics and immediate post-stent outcomes.</p>
</sec>
</abstract>
<abstract abstract-type="graphical"><title>Graphical Abstract</title>
<p><fig>
<caption><p>Hybrid IVUS-OCT Clinical Advantages</p></caption>
<graphic xlink:href="fcvm-12-1595889-ga001.tif" position="anchor">
<alt-text content-type="machine-generated">Infographic summarizing the clinical advantages of the hybrid IVUS-OCT system. It shows that OCT has 20 micrometer resolution and less than 2 millimeter depth, IVUS has 80 micrometer resolution and 5 to 8 millimeter depth, and both are combined using a hybrid probe with synchronized pullback. In plaque analysis, the hybrid system achieves 100 percent for lipid and calcified plaques, compared to 100 percent and 80 percent for OCT, and 71 percent and 100 percent for IVUS, respectively. In stent evaluation, the hybrid system achieves 100 percent across all categories, outperforming OCT and IVUS in clarity of stent capture rate, incomplete stent apposition, tissue protrusion, and stent edge dissection. The conclusion states that the hybrid system outperforms single-modality imaging.</alt-text>
</graphic>
</fig></p>
</abstract>
<kwd-group>
<kwd>IVUS-OCT</kwd>
<kwd>hybrid intracoronary imaging system</kwd>
<kwd>coronary atherosclerotic heart disease</kwd>
<kwd>plaque characteristics</kwd>
<kwd>immediate post-stent evaluation</kwd>
</kwd-group><counts>
<fig-count count="11"/>
<table-count count="3"/><equation-count count="0"/><ref-count count="36"/><page-count count="11"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Cardiovascular Imaging</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p><sans-serif>Optical coherence tomography</sans-serif> (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>) <sans-serif>(OCT) and intravascular ultrasound</sans-serif> (<xref ref-type="bibr" rid="B3">3</xref>) <sans-serif>(IVUS) are increasingly used in clinical practice</sans-serif> (<xref ref-type="bibr" rid="B4">4</xref>). <sans-serif>OCT utilizes broadband near-infrared light (wavelengths typically in the vicinity of 1,310&#x2005;nm) and low-coherence interferometry to detect tissue reflections, achieving high axial resolution (10&#x2013;20&#x2005;&#x03BC;m) for detailed visualization of vascular endothelium and plaque microstructures, though limited by light scattering to penetration depths &#x003C;2&#x2005;mm. Conversely, IVUS utilizes high-frequency ultrasound (typically 20&#x2013;40&#x2005;MHz) to penetrate deeper tissue (5&#x2013;8&#x2005;mm) by detecting acoustic impedance variations at tissue interfaces, but exhibits lower resolution (axial: 80&#x2013;150&#x2005;&#x03BC;m)</sans-serif> (<xref ref-type="bibr" rid="B5">5</xref>) <sans-serif>Multiple randomized controlled studies</sans-serif> (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>) <sans-serif>have confirmed that percutaneous coronary interventions (PCI) guided by IVUS or OCT optimization achieved better clinical outcomes. The updated 2024 European Society of Cardiology (ESC) Guidelines for the management of chronic coronary syndromes affirm the immediate and long-term benefits of IVI-guided PCI. They strongly recommend (Class I, Level A) the use of intravascular ultrasound (IVUS) or optical coherence tomography (OCT) for PCI in patients with complex coronary anatomy, particularly those with left main disease, true bifurcations, and long lesions</sans-serif> (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p><sans-serif>However, each technology has its limitations; IVUS offers deeper penetration, enabling visualization of the entire vessel wall and detection of deep calcification, but is hampered by lower resolution, which impedes reliable differentiation between superficial and deep calcification</sans-serif> (<xref ref-type="bibr" rid="B9">9</xref>)<sans-serif>. Conversely, OCT provides higher resolution</sans-serif> (<xref ref-type="bibr" rid="B10">10</xref>), <sans-serif>but its limited penetration depth may cause the outer margin of calcified plaques to be mistaken for lipid plaques, potentially leading to suboptimal selection of modification devices and under-expanded stents</sans-serif> (<xref ref-type="bibr" rid="B11">11</xref>)<sans-serif>. Therefore, combining both techniques enables multimodal imaging that delivers more comprehensive histological and morphological information about vessels</sans-serif> (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>)<sans-serif>. We evaluated the clinical application of the hybrid IVUS-OCT intracoronary imaging system by comparing with single mode of OCT and IVUS, aiming to provide a reference for clinical application and promotion.</sans-serif></p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Materials and methods</title>
<sec id="s2a"><label>2.1</label><title>Study subjects</title>
<p><sans-serif>The data for this study were sourced from the Department of Cardiology, Third Affiliated Hospital of Beijing University of Chinese Medicine. Patients with borderline coronary lesions requiring further evaluation or severe coronary stenosis requiring percutaneous coronary intervention (PCI) were enrolled between October 2023 and December 2024. Exclusion criteria were:</sans-serif> (1) <sans-serif>Cardiogenic shock, severe hepatic or renal insufficiency; (2) Contrast agent allergy; (3) Difficulty in performing hybrid IVUS-OCT intravascular imaging (chronic total occlusion or extreme vessel tortuosity); (4) Poor image quality (e.g., inadequate blood clearance). Seventy-seven patients were initially enrolled. After excluding 3 patients with unclear OCT imaging, 74 patients were ultimately included in this study. This study was approved by the hospital ethics committee (approval number: BZYSY-2022KYKTPJ-09), conducted in accordance with the Declaration of Helsinki, and written informed consent was obtained from all participants.</sans-serif></p>
</sec>
<sec id="s2b"><label>2.2</label><title>Study equipment and procedure</title>
<p><sans-serif>Following routine angiography, hybrid IVUS-OCT intracoronary imaging was performed using the S1 system (Panovision Co., Ltd, Beijing, China) equipped with a C1-1 hybrid catheter (outer diameter: 0.98&#x2005;mm). This catheter integrates sequentially arranged OCT and IVUS probes at its tip, enabling simultaneous acquisition of co-registered IVUS and OCT images during a single pullback. Synchronous imaging is achieved through two key mechanisms: (1) probe scanning angle alignment, achieved by precision catheter manufacturing ensuring identical directional orientation of both probes; and (2) pullback synchronization, wherein a two-frame offset is algorithmically compensated through software adjustments (</sans-serif><sans-serif><xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref></sans-serif><sans-serif>).</sans-serif></p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Catheter design and imaging characteristics frame rate: 200&#x2005;fps; pullback speed: Up to 40&#x2005;mm/s; pullback length: Up to 150&#x2005;mm; IVUS axial resolution: 80&#x2005;&#x03BC;m; OCT axial resolution: 20&#x2005;&#x03BC;m.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g001.tif"><alt-text content-type="machine-generated">Diagram of a medical device showing components labeled from left to right: connector, purging port, telescoping tube, telescoping rail, proximal sheath, distal sheath, and probe.</alt-text>
</graphic>
</fig>
<p><sans-serif>The operator advanced the catheter to the distal target vessel, and contrast agent was injected to obtained clear images of the vessel on the S1 system. The procedure was performed at a retraction speed of 20&#x2005;mm/s. Image data were analyzed offline by two independent researchers using Micro DICOM Viewer. If their opinions differed, a third expert was consulted for evaluation.</sans-serif></p>
</sec>
<sec id="s2c"><label>2.3</label><title>Image analysis</title>
<sec id="s2c1"><label>2.3.1</label><title>Coronary plaque characteristics analysis</title>
<p><sans-serif>After completing the hybrid IVUS-OCT imaging, the minimum lumen diameter of the target vessel was identified, and the lesions were analyzed frame by frame with a 0.2&#x2005;mm interval. Two calcifications were considered as parted when they were longitudinally separated by at least 1&#x2005;mm or when they were detectable on different portions of the single slice image without any contact or continuity throughout the whole length of the calcifications themselves</sans-serif> (<xref ref-type="bibr" rid="B14">14</xref>)<sans-serif>. Separate analyses were first conducted on the OCT and IVUS components to determine plaque characteristics independently for each modality. Subsequently, plaque features were characterized based on the coregistered IVUS-OCT images. These results were then compared. Based on the IVUS-OCT image results, the maximal calcified plaque arc location in the target vessel was determined, and the maximal calcified plaque arc measured by OCT imaging and IVUS imaging were compared</sans-serif> (<xref ref-type="bibr" rid="B15">15</xref>)<sans-serif>. Finally, the presence of thin-cap fibroatheroma (TCFA) was analyzed.</sans-serif></p>
<p><sans-serif>In OCT images</sans-serif> (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>)<sans-serif>, lipid plaques appeared as low-signal areas with blurry border, while calcified plaques were characterized by well-defined border with low-signal areas. In IVUS images</sans-serif> (<xref ref-type="bibr" rid="B18">18</xref>)<sans-serif>, lipid plaques typically appear as low-echo plaques, and calcified plaques showed high-echo lesions with acoustic shadowing. TCFA is defined as a large lipid plaque with a fibrous cap thickness of less than 6</sans-serif>5&#x2005;&#x03BC;<sans-serif>m and macrophages.</sans-serif></p>
</sec>
<sec id="s2c2"><label>2.3.2</label><title>Immediate post-stent evaluation</title>
<p><sans-serif>The hybrid IVUS-OCT imaging system was also additionally employed for evaluating immediate post-stent outcomes, including clear stent capture rate (CSCR)</sans-serif> (<xref ref-type="bibr" rid="B19">19</xref>)<sans-serif>, identification of incomplete stent apposition, tissue protrusion, and stent edge dissection. The hybrid IVUS-OCT cross-sectional images were analyzed separately to assess stent visualization, apposition, and edge dissection. Any tissue protrusion was also recorded. The results were compiled and analyzed to determine the effectiveness of the hybrid IVUS-OCT intracoronary imaging system in post-stent evaluation.</sans-serif></p>
<p><sans-serif>The CSCR refers to the ability to clearly visualize the entire stent in the target vessel. In OCT, this is indicated by a bright scattered light from the stent</sans-serif>&#x0027;<sans-serif>s inner wall, with reflective shadows behind the stent struts, while in IVUS, it is seen as a high-echo signal from the stent. Tissue protrusion</sans-serif> (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>) <sans-serif>occurs when vessel wall tissue protrudes into the lumen due to stent strut penetration, with irregular morphology and varying echo intensity. Incomplete stent apposition</sans-serif> (<xref ref-type="bibr" rid="B22">22</xref>) <sans-serif>is defined as a distance greater than the strut thickness between the stent struts and the vessel wall, with a distance &#x2265;200&#x2005;&#x03BC;m, and blood flow behind the stent struts (excluding flow over the side branches). Stent edge dissection</sans-serif> (<xref ref-type="bibr" rid="B23">23</xref>) <sans-serif>refers to a discontinuity in the vessel lumen surface at the stent edge (including a 5&#x2005;mm segment at both the proximal and distal edges of the stent), leading to intimal tears or subintimal hematomas.</sans-serif></p>
</sec>
</sec>
<sec id="s2d"><label>2.4</label><title>Statistical methods</title>
<p><sans-serif>Data analysis was performed using SPSS 26.0 software. Categorical data were expressed as frequencies and percentages, while continuous data were presented as mean</sans-serif>&#x2009;&#x00B1;&#x2009;<sans-serif>standard deviation. Chi-square tests or Fisher</sans-serif>&#x0027;<sans-serif>s tests were used for categorical data analysis, with statistical significance set at <italic>P</italic></sans-serif>&#x2009;&#x003C;&#x2009;<sans-serif>0.05.</sans-serif></p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<sec id="s3a"><label>3.1</label><title>Basic information and imaging results</title>
<p><sans-serif>A total of 77 patients were initially included for hybrid IVUS-OCT intracoronary imaging system. After excluding 3 patients with unclear OCT imaging (</sans-serif><sans-serif><xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref></sans-serif><sans-serif>), 74 patients were ultimately included in the study. A total of 82 coronary arteries underwent hybrid IVUS-OCT imaging, including 23 arteries with plaque characteristics analysis and 74 vessels with immediate post-stent evaluations. The left anterior descending artery (LAD) accounted for the highest proportion (54.88&#x0025;), followed by the right coronary artery (RCA) (26.83&#x0025;), left circumflex artery (LCX) (14.63&#x0025;), left main artery (LM) (2.44&#x0025;), and diagonal branch (D) (1.22&#x0025;) (</sans-serif><sans-serif><xref ref-type="table" rid="T1">Table&#x00A0;1</xref></sans-serif><sans-serif>).</sans-serif></p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Unclear OCT imaging; IVUS shows plaque characteristics and stents. <bold>(a1)</bold> Unclear OCT imaging; <bold>(a2)</bold> IVUS shows calcified plaque; <bold>(b1)</bold> Unclear OCT imaging; <bold>(b2)</bold> IVUS shows stent.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g002.tif"><alt-text content-type="machine-generated">Unclear OCT images (a1, b1) versus corresponding IVUS images showing calcified plaque (a2) and stent visualization (b2). Red arrows highlight plaque/stent features.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Baseline characteristics and imaging results of the included population.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">Analysis population (74 cases)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2">Basic information</td>
</tr>
<tr>
<td valign="top" align="left">Age (years), Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">61.68&#x2009;&#x00B1;&#x2009;10.61</td>
</tr>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">53 (71.62&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Female, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">21 (28.38&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Smoking history, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">39 (52.7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Drinking History, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">21 (28.38&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">BMI (kg/m<sup>2</sup>)</td>
</tr>
<tr>
<td valign="top" align="left">Missing, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">9 (12.16&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Underweight (&#x003C;18.5&#x2005;kg/m<sup>2</sup>), <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">2 (2.7&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Normal (18.5&#x2013;23.9&#x2005;kg/m<sup>2</sup>), <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">27 (36.49&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Overweight (24&#x2013;27.9&#x2005;kg/m<sup>2</sup>), <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">22 (29.73&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Obesity (&#x2265;28&#x2005;kg/m<sup>2</sup>), <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">14 (18.92&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Admission Diagnosis</td>
</tr>
<tr>
<td valign="top" align="left">Stable Angina, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">4 (5.41&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Unstable Angina, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">62 (83.78&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Non-ST-Segment Elevation Myocardial Infarction, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">7 (9.46&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">ST-Segment Elevation Myocardial Infarction, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">1 (1.35&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Medical history</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">58 (78.38&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Type 2 Diabetes, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">33 (44.59&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">69 (93.24&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Hyperuricemia, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">4 (5.41&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Chronic Heart Failure, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">4 (5.41&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Old Cerebral Infarction, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">14 (18.92&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Number of interventions</td>
</tr>
<tr>
<td valign="top" align="left">1, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">45 (59.46&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">2, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">22 (29.73&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">3, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">6 (8.11&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">4, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">1 (1.35&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Lesion type</td>
</tr>
<tr>
<td valign="top" align="left">Single-Vessel, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">11 (16.87&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Double-vessel, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">23 (32.53&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Triple-vessel, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">31 (39.76&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Left main, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">9 (10.84&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Imaging vessels</td>
</tr>
<tr>
<td valign="top" align="left">Left Main, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">2 (2.44&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Left Anterior Descending Branch, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">45 (54.88&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Left circumflex Branch, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">12 (14.63&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Right Coronary Artery, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">22 (26.83&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Diagonal Branch, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">1 (1.22&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Stent information</td>
</tr>
<tr>
<td valign="top" align="left">Number of Stents per Lesion, Mean&#x2009;&#x00B1;&#x2009;SD &#x0060;<italic>&#x03C7;</italic>&#x2009;&#x00B1;&#x2009;s</td>
<td valign="top" align="center">1.53&#x2009;&#x00B1;&#x2009;0.69</td>
</tr>
<tr>
<td valign="top" align="left">Length of Stents per Lesion (mm), Mean&#x2009;&#x00B1;&#x2009;SD:</td>
<td valign="top" align="center">35.62&#x2009;&#x00B1;&#x2009;19.62</td>
</tr>
<tr>
<td valign="top" align="left">Average Stent Diameter (mm), Mean&#x2009;&#x00B1;&#x2009;SD</td>
<td valign="top" align="center">3.03&#x2009;&#x00B1;&#x2009;0.45</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3b"><label>3.2</label><title>Coronary artery plaque characteristics evaluation</title>
<p><sans-serif>Analysis of plaque characteristics in 23 hybrid IVUS-OCT pullbacks identified a total of 41 plaques, including 21 lipid plaques, 20 calcified plaques, and 2 of TCFAs (Thin-Cap Fibroatheroma) (</sans-serif><sans-serif><xref ref-type="fig" rid="F3">Figures&#x00A0;3</xref>, <xref ref-type="fig" rid="F4">4</xref></sans-serif><sans-serif>). OCT alone identified 21 lipid plaques, 16 calcified plaques, including 3 of possible TCFAs, accurately identifying 11 maximal calcified plaque arcs. IVUS alone identified 15 lipid plaques and 20 calcified plaques, accurately identifying 17 maximal calcified plaque arcs (</sans-serif><sans-serif><xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref></sans-serif><sans-serif>). Using the hybrid IVUS-OCT findings as the reference standard, the accuracy of maximal calcified plaque arc identification by OCT was 68.75&#x0025;. IVUS demonstrated an accuracy of 85&#x0025; for maximal calcified plaque arc identification but failed to identify any vulnerable plaques (</sans-serif><sans-serif><xref ref-type="table" rid="T2">Table&#x00A0;2</xref></sans-serif><sans-serif>;</sans-serif> <sans-serif><xref ref-type="fig" rid="F6">Figure&#x00A0;6</xref></sans-serif><sans-serif>).</sans-serif></p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Plaque characterization analysis using hybrid IVUS-OCT imaging system <bold>(a1,a2)</bold> lipid plaques; <bold>(b1,b2)</bold> calcified plaques; <bold>(c1)</bold> OCT showing lipid plaque, <bold>(c2)</bold> IVUS showing calcified plaque; <bold>(d1)</bold> OCT showing lipid plaque, <bold>(d2)</bold> IVUS showing fibrous plaque.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g003.tif"><alt-text content-type="machine-generated">Co-registered IVUS-OCT analysis: Lipid plaques (a1-a2), calcified plaques (b1-b2), discordant cases (c1-c2: OCT lipid vs. IVUS calcification; d1-d2: OCT lipid vs. IVUS fibrous plaque). Red arrows indicate key features.</alt-text>
</graphic>
</fig>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>TCFA analysis hybrid IVUS-OCT imaging system. <bold>(a1)</bold> OCT showing TCFA, <bold>(a2)</bold> IVUS showing lipid plaque detected; <bold>(b1)</bold> OCT showing TCFA, <bold>(b2)</bold> IVUS showing calcified plaque.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g004.tif"><alt-text content-type="machine-generated">Thin-cap fibroatheroma (TCFA) detection: OCT identifies TCFA (a1, b1) while IVUS shows lipid plaque (a2) and calcified plaque (b2). Red arrows highlight TCFA locations.</alt-text>
</graphic>
</fig>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Determination of the maximal calcified plaques arc using the hybrid IVUS-OCT imaging system. <bold>(a1,a2)</bold> The maximal arc of calcification is the same in both images; <bold>(b1)</bold> OCT shows a smaller maximal arc of calcification than IVUS b2; <bold>(c1)</bold> OCT cannot display calcified plaque, <bold>(c2)</bold> IVUS shows the maximal arc of calcification.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g005.tif"><alt-text content-type="machine-generated">Comparative assessment of maximal calcified plaque arc by IVUS vs. OCT: (a1-a2) Concordant measurement: OCT and IVUS show identical calcification arc (yellow angular markers). (b1-b2) OCT limitation: Superficial calcification arc underestimated by OCT (b1) vs. full-depth IVUS detection (b2). (c1-c2) OCT failure: Deep calcification undetected by OCT (c1) but clearly identified by IVUS (c2; red arrow). Red arrows denote calcification boundaries. Demonstrates IVUS's superior depth penetration for calcified plaque burden quantification.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Coronary artery plaque characteristics evaluation <italic>n</italic> (&#x0025;).</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">IVUS-OCT</th>
<th valign="top" align="center">OCT</th>
<th valign="top" align="center">IVUS</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Lipid Plaques (21)</td>
<td valign="top" align="center">21 (100)</td>
<td valign="top" align="center">15 (71.43)</td>
</tr>
<tr>
<td valign="top" align="left">Calcified Plaques (20)</td>
<td valign="top" align="center">16 (80)</td>
<td valign="top" align="center">20 (100)</td>
</tr>
<tr>
<td valign="top" align="left">Maximal Calcified Plaque Arc (20)</td>
<td valign="top" align="center">11 (68.75)</td>
<td valign="top" align="center">17 (85)</td>
</tr>
<tr>
<td valign="top" align="left">TCFA (2)</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0 (0)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>IVUS, intravascular ultrasound; OCT, optical coherence tomography; TCFA, thin-cap fibroatheroma.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F6" position="float"><label>Figure 6</label>
<caption><p>Coronary artery plaque characteristics evaluation.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g006.tif"><alt-text content-type="machine-generated">Plaque characterization accuracy by modality: Lipid plaques: Hybrid IVUS-OCT: 100% (21/21), OCT: 100% (21/21), IVUS: 71.4% (15/21).Calcified plaques: Hybrid IVUS-OCT: 100% (20/20), OCT: 80% (16/20), IVUS: 100% (20/20).TCFA detection: Hybrid IVUS-OCT: 100% (2/2), OCT: detected 3 cases (overestimated), IVUS: 0% (0/2).Bar chart demonstrates hybrid system's superiority in comprehensive plaque assessment, particularly for vulnerable TCFA identification.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3c"><label>3.3</label><title>Immediate post-stent evaluation of coronary arteries</title>
<p><sans-serif>Through the Hybrid IVUS-OCT imaging system, 74 coronary arteries were evaluated immediately after stenting, with independent comparisons conducted using both IVUS and OCT.</sans-serif></p>
<p><sans-serif>Clear stent capture rate: The hybrid IVUS-OCT images clearly displayed the stents in all lesion vessels, while OCT detecting 66 (89.19&#x0025;) and IVUS detecting 37 (50&#x0025;) (<italic>P</italic></sans-serif>&#x2009;&#x003C;&#x2009;<sans-serif>0.001;</sans-serif> <sans-serif><xref ref-type="fig" rid="F7">Figure&#x00A0;7</xref></sans-serif><sans-serif>;</sans-serif> <sans-serif><xref ref-type="table" rid="T3">Table&#x00A0;3</xref></sans-serif><sans-serif>;</sans-serif> <sans-serif><xref ref-type="fig" rid="F8">Figure&#x00A0;8</xref></sans-serif><sans-serif>).</sans-serif></p>
<fig id="F7" position="float"><label>Figure 7</label>
<caption><p>Immediate evaluation of the hybrid IVUS-OCT images after coronary stenting (full clarity of stent capture rate). <bold>(a1,a2)</bold> OCT and IVUS clearly show the stent. <bold>(b1)</bold> OCT shows unclear stent visualization, <bold>(b2)</bold> IVUS clearly shows the stent; <bold>(c1)</bold> OCT clearly shows the stent, <bold>(c2)</bold> IVUS shows unclear stent visualization.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g007.tif"><alt-text content-type="machine-generated">Stent visualization: Clear stent in both modalities (a1-a2), unclear OCT with clear IVUS (b1-b2), clear OCT with unclear IVUS (c1-c2). Red arrows indicate stent struts.</alt-text>
</graphic>
</fig>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Immediate post-stent evaluation of coronary arteries using the hybrid IVUS-OCT imaging system (<italic>n</italic>, &#x0025;).</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">IVUS-OCT</th>
<th valign="top" align="center">OCT</th>
<th valign="top" align="center">IVUS</th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Full clarity of stent capture rate (74)</td>
<td valign="top" align="center">66 (89.19)</td>
<td valign="top" align="center">37 (50)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Incomplete stent apposition (23)</td>
<td valign="top" align="center">23 (100)</td>
<td valign="top" align="center">8 (34.78)</td>
<td valign="top" align="center">&#x003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Tissue protrusion (10)</td>
<td valign="top" align="center">10 (100)</td>
<td valign="top" align="center">2 (20)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Stent edge dissection (10)</td>
<td valign="top" align="center">10 (100)</td>
<td valign="top" align="center">7 (70)</td>
<td valign="top" align="center">0.211</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>IVUS, intravascular ultrasound; OCT, optical coherence tomography.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F8" position="float"><label>Figure 8</label>
<caption><p>Immediate post-stent evaluation of coronary arteries using the hybrid IVUS-OCT imaging system.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g008.tif"><alt-text content-type="machine-generated">The hybrid system achieves 100% detection across all metrics: Clear stent capture rate (CSCR): Hybrid 100% vs. OCT 89.2% vs. IVUS 56.1%. Incomplete stent apposition: Hybrid 100% vs. OCT 100% vs. IVUS 34.8%. Tissue protrusion: Hybrid 100% vs. OCT 100% vs. IVUS 20%. Stent edge dissection: Hybrid 100% vs. OCT 100% vs. IVUS 70%.</alt-text>
</graphic>
</fig>
<p><sans-serif>Incomplete stent apposition: The hybrid IVUS-OCT imaging system identified 23 cases of incomplete stent apposition, compared with OCT detecting 23 (100&#x0025;) and IVUS detecting 8 (34.78&#x0025;) (<italic>P</italic></sans-serif>&#x2009;&#x003C;&#x2009;<sans-serif>0.001;</sans-serif> <sans-serif><xref ref-type="fig" rid="F9">Figure&#x00A0;9</xref></sans-serif><sans-serif>;</sans-serif> <sans-serif><xref ref-type="table" rid="T3">Table&#x00A0;3</xref></sans-serif><sans-serif>;</sans-serif> <sans-serif><xref ref-type="fig" rid="F8">Figure&#x00A0;8</xref></sans-serif><sans-serif>).</sans-serif></p>
<fig id="F9" position="float"><label>Figure 9</label>
<caption><p>Immediate evaluation of the hybrid IVUS-OCT images after coronary stenting (incomplete stent apposition). <bold>(d1,d2)</bold> OCT and IVUS clearly show incomplete stent apposition.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g009.tif"><alt-text content-type="machine-generated">Incomplete stent apposition (&#x2265;200 &#x03BC;m gap): Both IVUS (d2) and OCT (d1) show malapposed struts (red arrows).</alt-text>
</graphic>
</fig>
<p><sans-serif>Tissue protrusion: The hybrid IVUS-OCT imaging system identified 10 cases of tissue protrusion, compared with OCT detecting 10 (100&#x0025;) and IVUS detecting 2 (20&#x0025;) (<italic>P</italic></sans-serif>&#x2009;&#x003D;&#x2009;<sans-serif>0.001;</sans-serif> <sans-serif><xref ref-type="fig" rid="F10">Figure&#x00A0;10</xref></sans-serif><sans-serif>;</sans-serif> <sans-serif><xref ref-type="table" rid="T3">Table&#x00A0;3</xref></sans-serif><sans-serif>;</sans-serif> <sans-serif><xref ref-type="fig" rid="F8">Figure&#x00A0;8</xref></sans-serif><sans-serif>).</sans-serif></p>
<fig id="F10" position="float"><label>Figure 10</label>
<caption><p>Immediate evaluation of the hybrid IVUS-OCT images after coronary stenting (tissue protrusion). <bold>(e1)</bold> OCT shows tissue protrusion; <bold>(e2)</bold> IVUS cannot visualize tissue protrusion.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g010.tif"><alt-text content-type="machine-generated">Tissue protrusion: OCT (e1) detects irregular tissue bulging between stent struts (red arrow); IVUS (e2) fails to visualize protrusion.</alt-text>
</graphic>
</fig>
<p><sans-serif>Stent edge dissection: The hybrid IVUS-OCT imaging system identified 10 cases of stent edge dissection, compared with OCT detecting 10 (100&#x0025;) and IVUS detecting 7 (70&#x0025;) (<italic>P</italic></sans-serif>&#x2009;&#x003D;&#x2009;<sans-serif>0.211;</sans-serif> <sans-serif><xref ref-type="fig" rid="F11">Figure&#x00A0;11</xref></sans-serif><sans-serif>;</sans-serif> <sans-serif><xref ref-type="table" rid="T3">Table&#x00A0;3</xref></sans-serif><sans-serif>;</sans-serif> <sans-serif><xref ref-type="fig" rid="F8">Figure&#x00A0;8</xref></sans-serif><sans-serif>).</sans-serif></p>
<fig id="F11" position="float"><label>Figure 11</label>
<caption><p>Immediate evaluation of the hybrid IVUS-OCT images after coronary stenting (stent edge dissection). <bold>(f1,f2)</bold> OCT and IVUS clearly show stent edge dissection.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-12-1595889-g011.tif"><alt-text content-type="machine-generated">Stent edge dissection. f1, f2: OCT and IVUS clearly show stent edge dissection.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4"><label>4</label><title><sans-serif>Discussion</sans-serif></title>
<p><sans-serif>The 2024 ESC guidelines</sans-serif>&#x0027; <sans-serif>Class Ia recommendation for intravascular imaging (IVI) in complex percutaneous coronary intervention (PCI) underscores its established role in optimizing outcomes</sans-serif> (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B24">24</xref>)<sans-serif>. However, the inherent limitations of single-modality intravascular ultrasound (IVUS) and optical coherence tomography (OCT)&#x2014;specifically, IVUS</sans-serif>&#x0027;<sans-serif>s lower resolution impeding detailed superficial characterization and OCT</sans-serif>&#x0027;<sans-serif>s limited penetration depth&#x2014;restrict their capacity for comprehensive lesion assessment</sans-serif> (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>)<sans-serif>. To bridge this gap, we evaluated a novel hybrid IVUS-OCT intracoronary imaging system designed to synergistically combine these complementary modalities. Our findings demonstrate that this integrated approach significantly outperforms either single-modality IVUS or OCT alone in assessing coronary atherosclerotic plaque characteristics and immediate post-stent outcomes.</sans-serif></p>
<p><sans-serif>In the plaque characteristics analysis, OCT alone identified 21 lipid plaques, 16 calcified plaques, and 3 possible TCFAs, with a maximal calcified plaque arc identification accuracy of 68.75&#x0025;. IVUS alone identified 15 lipid plaques and 20 calcified plaques, with a maximal calcified plaque arc identification accuracy of 85&#x0025;. Due to the limited penetration, OCT is unable to visualize deeper plaque components especially beyond lipid plaque or a layer of macrophages. In this study, OCT missed deep calcified plaques and failed to confirm TCFAs due to its inability to characterize plaque components beyond the lipid plaque and macrophages and to measure the size of lipid plaques. There was 3 of the possible TCFA detected by OCT alone, however there was one non-TCFA by hybrid imaging, because there were thin fiber tissue beyond the macrophages. Furthermore, in assessing the maximal calcified plaque arc, OCT is less accurate than IVUS. IVUS defines lipid plaques by visually observing the strength of the plaque echo compared to the echo of the external elastic membrane. The echo strength is influenced not only by tissue density but also by the relative position and arc of the ultrasound catheter to the plaque. Consequently, IVUS can easily confuse lipid plaques with fibrous plaques and may overlook smaller lipid plaques. However, for calcified plaques, IVUS shows good results and can provide accurate calcification information. Moreover, IVUS can evaluate plaque burden and vascular remodeling index, effectively guiding the selection of surgical strategies</sans-serif> (<xref ref-type="bibr" rid="B13">13</xref>)<sans-serif>. Although IVUS performs better in identifying calcified plaques compared to OCT, it cannot measure the size of calcified plaques. IVUS also struggles to measure fibrous cap thickness because the lower resolution and cannot assess TCFA. Since plaque characteristics involve numerous parameters, evaluating them comprehensively with a single-modality is challenging</sans-serif> (<xref ref-type="bibr" rid="B28">28</xref>)<sans-serif>. This limitation affects the ability to assess the effects of pharmacological interventions on plaques</sans-serif> (<xref ref-type="bibr" rid="B29">29</xref>)<sans-serif>, thereby impacting the development of coronary intervention strategies. The hybrid IVUS-OCT imaging system offers dual-modality imaging that compensate for the limitations of each other, allowing for the simultaneous capture of images of plaque characteristics and function, enabling more accurate assessment of plaque characteristics and better guiding clinical decisions.</sans-serif></p>
<p><sans-serif>Regarding immediate post-stent evaluation, our results confirmed that OCT surpassed IVUS in clearly identifying stents, detecting incomplete stent apposition, and identifying tissue protrusion (<italic>P</italic></sans-serif>&#x2009;&#x003C;&#x2009;<sans-serif>0.05), aligning with previous studies</sans-serif> (<xref ref-type="bibr" rid="B30">30</xref>)<sans-serif>. This is attributed to the higher resolution of OCT, enabling it to clearly visualize subtle structural changes surrounding the stent. Nonetheless, OCT and IVUS alone have limitations in immediate post-stent evaluation. The hybrid IVUS-OCT imaging demonstrated excellent performance in this regard, clearly displaying stents and detecting all cases of incomplete stent apposition, tissue protrusion, and stent edge dissection. Clinically, the hybrid IVUS-OCT imaging system provides detailed and accurate immediate post-stent evaluations, helping to avoid the need for repeat procedures and reducing postoperative complications. OCT offers significant advantages for post-stent evaluation, but for patients with suboptimal OCT imaging, IVUS can serve as a complementary analysis tool, reducing repetitive procedures and excessive contrast agent use, thereby decreasing the incidence of cardiovascular adverse events. IVUS also helps to guide stent size selection by providing the measurement of external elastic membrane (EEM)</sans-serif> (<xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>)<sans-serif>. The plaque burden can be accurately measured by the hybrid IVUS-OCT imaging system.</sans-serif></p>
<p><sans-serif>The hybrid IVUS-OCT imaging system has been applied clinically recently, and there are few reports regarding its clinical efficacy. While previous studies have compared the clinical effects of OCT and IVUS separately, they did not scan images simultaneously, which means they could not ensure that OCT and IVUS images were from the same frame. In this study, both plaque characteristic analysis and post-stent evaluation showed that the hybrid IVUS-OCT imaging system performed well in clinical guidance, realizing the benefits of complementary imaging</sans-serif> (<xref ref-type="bibr" rid="B34">34</xref>)<sans-serif>. It enables preoperative strategy selection or postoperative outcome evaluation leveraging the other modality if one underperforms, thereby minimizing additional procedures and excessive contrast agent administration. Additionally, it alleviates the dilemma of selecting the appropriate coronary intravascular imaging modality, especially during the interventional treatment of complex coronary lesions</sans-serif> (<xref ref-type="bibr" rid="B35">35</xref>)<sans-serif>. It is important to note that since OCT imaging requires contrast agent flushing, careful consideration is necessary for patients with left main lesions, severe heart failure, or renal dysfunction</sans-serif> (<xref ref-type="bibr" rid="B36">36</xref>)<sans-serif>. In these cases, the hybrid system can be operated in IVUS mode without requiring contrast agent flushing.</sans-serif></p>
<p><sans-serif>In this study, no adverse reactions related to coronary intravascular imaging were observed in any patients. Several limitations of this study warrant consideration. First, the single-center design and relatively small sample size limit the generalizability of the findings. Second, the evaluation of plaque characteristics and post-stent outcomes relied solely on intravascular imaging modalities lacking histological gold standard validation.Third, the lack of long-term clinical follow-up data precludes assessment of whether the superior lesion characterization and stent assessment provided by the hybrid system translates to improved clinical outcomes (e.g., reduced major adverse cardiovascular events, target lesion revascularization) compared to single-modality guidance. Finally, while image analysis was performed offline by two independent researchers with adjudication by a third in case of disagreement, inherent subjectivity in interpreting intravascular images, especially for subtle findings, remains a potential source of bias.</sans-serif></p>
<p><sans-serif>This study demonstrates the advantages of the hybrid IVUS-OCT intravascular imaging system and its excellent clinical guidance potential. Future studies should be conducted with larger sample sizes, multi-center involvement, and randomized designs to obtain more valuable clinical data on the clinical application of the hybrid IVUS-OCT imaging system.</sans-serif></p>
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</body>
<back>
<sec id="s5" 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="s6" sec-type="author-contributions"><title>Author contributions</title>
<p>YX: Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. WH: Data curation, Methodology, Writing &#x2013; review &#x0026; editing. SW: Data curation, Investigation, Writing &#x2013; review &#x0026; editing. WJ: Data curation, Investigation, Writing &#x2013; review &#x0026; editing. YW: Data curation, Writing &#x2013; review &#x0026; editing. JL: Data curation, Writing &#x2013; review &#x0026; editing. BC: Data curation, Methodology, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
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<sec id="s8" 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>
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<sec id="s9" 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>
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