https://m2.mtmt.hu/ hun 2026-09-23 12:32 JournalArticle 32818985 VALIDATED true Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States Monash Cardiovascular Research Centre, Victorian Heart Institute, Monash University and MonashHeart, Monash Health, Melbourne, VIC, Australia Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States Department of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States Department of Cardiology, Friedrich-Alexander-University Erlangen-Nürnberg, Faculty of Medicine, Erlangen, Germany Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, Los Angeles, CA, United States Medical Imaging Centre, Semmelweis University, Budapest, Hungary MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, Budapest, Hungary Cited By :1 Export Date: 12 May 2022 Correspondence Address: Dey, D.; Biomedical Imaging Research Institute, 116 North Robertson Boulevard, United States; email: damini.dey@cshs.org 0 false 2026-07-29T11:28:14.598+0000 2025-11-11T09:57:53.615+0000 2022-05-12T07:17:08.334+0000 true 10062250 Molnár-Taga Márta /api/admin/10062250 Admin true 10062250 2026-03-09T14:11:16.039+0000 2022-05-12T08:29:38.884+0000 true 10080205 Szalóky-Siki Ágnes /api/admin/10080205 Admin true true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Lin, A. Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography Angiography true true /api/journal/10015811 REVIEWED true false 10015811 false 10015811 true 1936-878X 1876-7591 Journal FOREIGN 15 5 859 871 859 13 2022 Objectives: The aim of this study was to precisely phenotype culprit and nonculprit lesions in myocardial infarction (MI) and lesions in stable coronary artery disease (CAD) using coronary computed tomography angiography (CTA)-based radiomic analysis. Background: It remains debated whether any single coronary atherosclerotic plaque within the vulnerable patient exhibits unique morphology conferring an increased risk of clinical events. Methods: A total of 60 patients with acute MI prospectively underwent coronary CTA before invasive angiography and were matched to 60 patients with stable CAD. For all coronary lesions, high-risk plaque (HRP) characteristics were qualitatively assessed, followed by semiautomated plaque quantification and extraction of 1,103 radiomic features. Machine learning models were built to examine the additive value of radiomic features for discriminating culprit lesions over and above HRP and plaque volumes. Results: Culprit lesions had higher mean volumes of noncalcified plaque (NCP) and low-density noncalcified plaque (LDNCP) compared with the highest-grade stenosis nonculprits and highest-grade stenosis stable CAD lesions (NCP: 138.1 mm3 vs 110.7 mm3 vs 102.7 mm3; LDNCP: 14.2 mm3 vs 9.8 mm3 vs 8.4 mm3; both Ptrend < 0.01). In multivariable linear regression adjusted for NCP and LDNCP volumes, 14.9% (164 of 1,103) of radiomic features were associated with culprits and 9.7% (107 of 1,103) were associated with the highest-grade stenosis nonculprits (critical P < 0.0007) when compared with highest-grade stenosis stable CAD lesions as reference. Hierarchical clustering of significant radiomic features identified 9 unique data clusters (latent phenotypes): 5 contained radiomic features specific to culprits, 1 contained features specific to highest-grade stenosis nonculprits, and 3 contained features associated with either lesion type. Radiomic features provided incremental value for discriminating culprit lesions when added to a machine learning model containing HRP and plaque volumes (area under the receiver-operating characteristic curve 0.86 vs 0.76; P = 0.004). Conclusions: Culprit lesions and highest-grade stenosis nonculprit lesions in MI have distinct radiomic signatures compared with lesions in stable CAD. Within the vulnerable patient may exist individual vulnerable plaques identifiable by coronary CTA-based precision phenotyping. © 2022 American College of Cardiology Foundation true 2022 true true true false true false NONE 2026-07-29 false 69 0 69 58 4 69 68 63 62 69 69 58 58 58 11 0 69 58 69 58 0 8 8 Folyóiratcikk Journal Article 24 68 Könyvrészlet Chapter in Book 25 1 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2022 0 5 4 5 4 2023 0 12 9 12 9 2024 0 24 17 24 17 2025 0 20 20 20 20 2026 0 8 8 8 8 D1 false 10050627 false false false 2022-05-11T08:29:38.493+0000 MTA-SE Lendület Kardiovaszkuláris Képalkotó Kut... (SE / AOK / K / OKK); Orvosi Képalkotó Klinika (SE / AOK / K) 2 26 2 15 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 101616721 /api/authorship/101616721 1 0.06666667 true false false Lin A. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616722 /api/authorship/101616722 2 0.067 true false false Author 10050627 /api/author/10050627 Kolossváry Márton József true 10050627 true Kolossváry M. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616723 /api/authorship/101616723 3 0.06666667 false false false Cadet S. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616724 /api/authorship/101616724 4 0.06666667 false false false McElhinney P. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616725 /api/authorship/101616725 5 0.06666667 false false false Goeller M. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616726 /api/authorship/101616726 6 0.06666667 false false false Han D. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616727 /api/authorship/101616727 7 0.06666667 false false false Yuvaraj J. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616728 /api/authorship/101616728 8 0.06666667 false false false Nerlekar N. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616729 /api/authorship/101616729 9 0.06666667 false false false Slomka P.J. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616730 /api/authorship/101616730 10 0.06666667 false false false Marwan M. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616731 /api/authorship/101616731 11 0.06666667 false false false Nicholls S.J. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616732 /api/authorship/101616732 12 0.06666667 false false false Achenbach S. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616733 /api/authorship/101616733 13 0.067 false false false Author 10019530 /api/author/10019530 Maurovich-Horvat Pál true 10019530 true Maurovich-Horvat P. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616734 /api/authorship/101616734 14 0.067 false true false Wong D.T.L. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 101616735 /api/authorship/101616735 15 0.06666667 false true true Dey D. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 20968468 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target="_blank">Kolossváry M.<sup>*</sup> (<span class="authorship-author-name">Kolossváry Márton József</span> <span class="authorAux-mtmt"> Kardiológia</span>) </a> </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Cadet S. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >McElhinney P. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Goeller M. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Han D. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Yuvaraj J. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Nerlekar N. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Slomka P.J. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Marwan M. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Nicholls S.J. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Achenbach S. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10019530"><a href="/gui2/?type=authors&mode=browse&sel=10019530" target="_blank">Maurovich-Horvat P. (<span class="authorship-author-name">Maurovich-Horvat Pál</span> <span class="authorAux-mtmt"> kardiológia</span>) </a> </span> <span class="author-affil"><span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/Orvosi Képalkotó Klinika; <span title="Semmelweis Egyetem">SE</span>/<span title="Általános Orvostudományi Kar">AOK</span>/<span title="Klinikum">K</span>/<span title="Orvosi Képalkotó Klinika">OKK</span>/MTA-SE Lendület Kardiovaszkuláris Képalkotó Kutatócsoport</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Wong D.T.L.<sup>**</sup> </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Dey D. ✉ </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;32818985" target="_blank">Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography Angiography</a></div> <div> <span class="journal-title">JACC-CARDIOVASCULAR IMAGING</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/1936-878X">1936-878X</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1876-7591">1876-7591</a>)</span>: <span class="journal-volume">15</span> <span class="journal-issue">5</span> <span class="page"> pp 859-871 </span> <span class="year">(2022)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1016/j.jcmg.2021.11.016" target="_blank" href="https://doi.org/10.1016/j.jcmg.2021.11.016"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000808099000019" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000808099000019"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85128664674" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85128664674"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="35512957" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=35512957&dopt=Abstract"> PubMed </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Cardiology and Cardiovascular Medicine&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Radiology, Nuclear Medicine and Imaging&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;D1</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 69</span> | Független: 58 | Függő: 11 | Nem jelölt: 0 | WoS jelölt: 63 | Scopus jelölt:&nbsp;62 | WoS/Scopus jelölt:&nbsp;69 | DOI jelölt:&nbsp;68 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;32818985&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 8 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 32818985</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2025.11.11. 10:57 Sághi-Keszthelyi Anna (SE_KK_Admin5_SKA, admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States Monash Cardiovascular Research Centre, Victorian Heart Institute, Monash University and MonashHeart, Monash Health, Melbourne, VIC, Australia Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, ...</pre> </div></div>