{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,6]],"date-time":"2026-11-06T22:51:35Z","timestamp":1794005495204,"version":"4.8.0"},"reference-count":41,"publisher":"Elsevier BV","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/100000050","name":"NHLBI","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005984","name":"Dr Miriam and Sheldon G Adelson Medical Research Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005984","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jacc.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["JACC: Cardiovascular Imaging"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1016\/j.jcmg.2024.08.012","type":"journal-article","created":{"date-parts":[[2024,10,31]],"date-time":"2024-10-31T01:03:50Z","timestamp":1730336630000},"page":"308-319","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":32,"title":["Coronary Plaque Radiomic Phenotypes Predict Fatal or Nonfatal Myocardial\u00a0Infarction"],"prefix":"10.1016","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5570-991X","authenticated-orcid":false,"given":"M\u00e1rton","family":"Kolossv\u00e1ry","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacek","family":"Kwiecinski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastien","family":"Cadet","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6110-938X","authenticated-orcid":false,"given":"Piotr J.","family":"Slomka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David E.","family":"Newby","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc R.","family":"Dweck","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle C.","family":"Williams","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Damini","family":"Dey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"22","key":"10.1016\/j.jcmg.2024.08.012_bib1","doi-asserted-by":"crossref","first-page":"e187","DOI":"10.1016\/j.jacc.2021.07.053","article-title":"2021 AHA\/ACC\/ASE\/CHEST\/SAEM\/SCCT\/SCMR guideline for the evaluation and diagnosis of chest pain: a report of the American College of Cardiology\/American Heart Association Joint Committee on Clinical Practice Guidelines","volume":"78","author":"Gulati","year":"2021","journal-title":"J\u00a0Am Coll Cardiol"},{"issue":"3","key":"10.1016\/j.jcmg.2024.08.012_bib2","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1093\/eurheartj\/ehz425","article-title":"2019 ESC guidelines for the diagnosis and management of chronic coronary syndromes","volume":"41","author":"Knuuti","year":"2020","journal-title":"Eur Heart J"},{"key":"10.1016\/j.jcmg.2024.08.012_bib3","series-title":"Recent-Onset Chest Pain of Suspected Cardiac Origin: Assessment and Diagnosis","year":"2016"},{"issue":"7","key":"10.1016\/j.jcmg.2024.08.012_bib4","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1038\/nrcardio.2014.60","article-title":"Comprehensive plaque assessment by coronary CT angiography","volume":"11","author":"Maurovich-Horvat","year":"2014","journal-title":"Nat Rev Cardiol"},{"issue":"10","key":"10.1016\/j.jcmg.2024.08.012_bib5","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1038\/s41569-023-00880-4","article-title":"Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a consensus statement from the Quantitative Cardiovascular Imaging Study Group","volume":"20","author":"Mezquita","year":"2023","journal-title":"Nat Rev Cardiol"},{"issue":"5","key":"10.1016\/j.jcmg.2024.08.012_bib6","doi-asserted-by":"crossref","first-page":"489","DOI":"10.21037\/cdt.2016.11.06","article-title":"Plaque imaging with CT-a comprehensive review on coronary CT angiography based risk assessment","volume":"7","author":"Kolossvary","year":"2017","journal-title":"Cardiovasc Diagn Ther"},{"issue":"18","key":"10.1016\/j.jcmg.2024.08.012_bib7","doi-asserted-by":"crossref","first-page":"1452","DOI":"10.1161\/CIRCULATIONAHA.119.044720","article-title":"Low-attenuation noncalcified plaque on coronary computed tomography angiography predicts myocardial infarction: results from the multicenter SCOT-HEART Trial (Scottish Computed Tomography of the HEART)","volume":"141","author":"Williams","year":"2020","journal-title":"Circulation"},{"issue":"1","key":"10.1016\/j.jcmg.2024.08.012_bib8","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1097\/RTI.0000000000000268","article-title":"Cardiac computed tomography radiomics: a comprehensive review on radiomic techniques","volume":"33","author":"Kolossvary","year":"2018","journal-title":"J\u00a0Thorac Imaging"},{"issue":"5","key":"10.1016\/j.jcmg.2024.08.012_bib9","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.jcct.2019.04.007","article-title":"Advanced atherosclerosis imaging by CT: radiomics, machine learning and deep learning","volume":"13","author":"Kolossvary","year":"2019","journal-title":"J\u00a0Cardiovasc Comput Tomogr"},{"issue":"1","key":"10.1016\/j.jcmg.2024.08.012_bib10","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1148\/radiol.2021203179","article-title":"Contribution of risk factors to the development of coronary atherosclerosis as confirmed via coronary CT angiography: a longitudinal radiomics-based study","volume":"299","author":"Kolossvary","year":"2021","journal-title":"Radiology"},{"issue":"1","key":"10.1016\/j.jcmg.2024.08.012_bib11","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1148\/radiol.2019190407","article-title":"Radiomics versus visual and histogram-based assessment to identify atheromatous lesions at coronary CT angiography: an ex\u00a0vivo study","volume":"293","author":"Kolossvary","year":"2019","journal-title":"Radiology"},{"issue":"12","key":"10.1016\/j.jcmg.2024.08.012_bib12","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCIMAGING.117.006843","article-title":"Radiomic features are superior to conventional quantitative computed tomographic metrics to identify coronary plaques with napkin-ring sign","volume":"10","author":"Kolossvary","year":"2017","journal-title":"Circ Cardiovasc Imaging"},{"issue":"11","key":"10.1016\/j.jcmg.2024.08.012_bib13","doi-asserted-by":"crossref","first-page":"1250","DOI":"10.1093\/ehjci\/jez033","article-title":"Identification of invasive and radionuclide imaging markers of coronary plaque vulnerability using radiomic analysis of coronary computed tomography angiography","volume":"20","author":"Kolossvary","year":"2019","journal-title":"Eur Heart J Cardiovasc Imaging"},{"issue":"11","key":"10.1016\/j.jcmg.2024.08.012_bib14","doi-asserted-by":"crossref","first-page":"2371","DOI":"10.1016\/j.jcmg.2020.06.033","article-title":"Myocardial infarction associates with a distinct pericoronary adipose tissue radiomic phenotype: a prospective case-control study","volume":"13","author":"Lin","year":"2020","journal-title":"JACC Cardiovasc Imaging"},{"issue":"10","key":"10.1016\/j.jcmg.2024.08.012_bib15","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1056\/NEJMoa1805971","article-title":"Coronary CT angiography and 5-year risk of myocardial infarction","volume":"379","author":"Newby","year":"2018","journal-title":"N\u00a0Engl J Med"},{"key":"10.1016\/j.jcmg.2024.08.012_bib16","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1186\/1745-6215-13-184","article-title":"Role of multidetector computed tomography in the diagnosis and management of patients attending the rapid access chest pain clinic, The Scottish computed tomography of the heart (SCOT-HEART) trial: study protocol for randomized controlled trial","volume":"13","author":"Newby","year":"2012","journal-title":"Trials"},{"issue":"2","key":"10.1016\/j.jcmg.2024.08.012_bib17","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1136\/hrt.2006.108167","article-title":"Adding social deprivation and family history to cardiovascular risk assessment: the ASSIGN score from the Scottish Heart Health Extended Cohort (SHHEC)","volume":"93","author":"Woodward","year":"2007","journal-title":"Heart"},{"issue":"1","key":"10.1016\/j.jcmg.2024.08.012_bib18","doi-asserted-by":"crossref","DOI":"10.1136\/openhrt-2014-000234","article-title":"Observer variability in the assessment of CT coronary angiography and coronary artery calcium score: substudy of the Scottish COmputed Tomography of the HEART (SCOT-HEART) trial","volume":"2","author":"Williams","year":"2015","journal-title":"Open Heart"},{"issue":"11","key":"10.1016\/j.jcmg.2024.08.012_bib19","doi-asserted-by":"crossref","first-page":"6129","DOI":"10.1007\/s00330-019-06219-3","article-title":"Standardized volumetric plaque quantification and characterization from coronary CT angiography: a head-to-head comparison with invasive intravascular ultrasound","volume":"29","author":"Matsumoto","year":"2019","journal-title":"Eur Radiol"},{"issue":"6","key":"10.1016\/j.jcmg.2024.08.012_bib20","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.jcct.2009.09.004","article-title":"Automated 3-dimensional quantification of noncalcified and calcified coronary plaque from coronary CT angiography","volume":"3","author":"Dey","year":"2009","journal-title":"J\u00a0Cardiovasc Comput Tomogr"},{"issue":"2","key":"10.1016\/j.jcmg.2024.08.012_bib21","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.jcct.2015.11.003","article-title":"Reproducibility of semi-automatic coronary plaque quantification in coronary CT angiography with sub-mSv radiation dose","volume":"10","author":"Ovrehus","year":"2016","journal-title":"J\u00a0Cardiovasc Comput Tomogr"},{"key":"10.1016\/j.jcmg.2024.08.012_bib22","series-title":"RIA: radiomics image analysis toolbox for grayscale images","year":"2023"},{"issue":"7","key":"10.1016\/j.jcmg.2024.08.012_bib23","doi-asserted-by":"crossref","first-page":"e279","DOI":"10.1161\/ATVBAHA.123.319332","article-title":"Latent coronary plaque morphology from computed tomography angiography, molecular disease activity on positron emission tomography, and clinical outcomes","volume":"43","author":"Kwiecinski","year":"2023","journal-title":"Arterioscler Thromb Vasc Biol"},{"issue":"12","key":"10.1016\/j.jcmg.2024.08.012_bib24","doi-asserted-by":"crossref","first-page":"8748","DOI":"10.1007\/s00330-022-08894-1","article-title":"Temporal assessment of lesion morphology on radiological images beyond lesion volumes-a proof-of-principle study","volume":"32","author":"Kolossvary","year":"2022","journal-title":"Eur Radiol"},{"issue":"7","key":"10.1016\/j.jcmg.2024.08.012_bib25","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1016\/j.jcmg.2010.04.011","article-title":"Serial coronary CT angiography-verified changes in plaque characteristics as an end point: evaluation of effect of statin intervention","volume":"3","author":"Inoue","year":"2010","journal-title":"JACC Cardiovasc Imaging"},{"issue":"22","key":"10.1016\/j.jcmg.2024.08.012_bib26","doi-asserted-by":"crossref","first-page":"2511","DOI":"10.1016\/j.jacc.2018.02.079","article-title":"Coronary atherosclerotic precursors of acute coronary syndromes","volume":"71","author":"Chang","year":"2018","journal-title":"J\u00a0Am Coll Cardiol"},{"issue":"10","key":"10.1016\/j.jcmg.2024.08.012_bib27","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.1016\/j.jcmg.2018.04.015","article-title":"Effects of statins on coronary atherosclerotic plaques: the PARADIGM study","volume":"11","author":"Lee","year":"2018","journal-title":"JACC Cardiovasc Imaging"},{"issue":"10","key":"10.1016\/j.jcmg.2024.08.012_bib28","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1002\/sim.4154","article-title":"On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data","volume":"30","author":"Uno","year":"2011","journal-title":"Stat Med"},{"issue":"478","key":"10.1016\/j.jcmg.2024.08.012_bib29","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1198\/016214507000000149","article-title":"Evaluating prediction rules for T-year survivors with censored regression models","volume":"102","author":"Uno","year":"2007","journal-title":"J\u00a0Am Stat Assoc"},{"issue":"1","key":"10.1016\/j.jcmg.2024.08.012_bib30","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1002\/cjs.10046","article-title":"Estimation methods for time-dependent AUC models with survival data","volume":"38","author":"Hung","year":"2009","journal-title":"Can J Stat"},{"key":"10.1016\/j.jcmg.2024.08.012_bib32","series-title":"Python Reference Manual","author":"Van Rossum","year":"1995"},{"issue":"212","key":"10.1016\/j.jcmg.2024.08.012_bib33","first-page":"1","article-title":"scikit-survival: a library for time-to-event analysis built on top of scikit-learn","volume":"21","author":"P\u00f6lsterl","year":"2020","journal-title":"J\u00a0Mach Learn Res"},{"key":"10.1016\/j.jcmg.2024.08.012_bib34","author":"Kolossvary"},{"issue":"6","key":"10.1016\/j.jcmg.2024.08.012_bib35","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.jacr.2006.02.020","article-title":"Measuring observer performance in chest radiology: some experiences","volume":"3","author":"Potchen","year":"2006","journal-title":"J\u00a0Am Coll Radiol"},{"issue":"9","key":"10.1016\/j.jcmg.2024.08.012_bib36","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1068\/p281059","article-title":"Gorillas in our midst: sustained inattentional blindness for dynamic events","volume":"28","author":"Simons","year":"1999","journal-title":"Perception"},{"issue":"2","key":"10.1016\/j.jcmg.2024.08.012_bib37","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.jcct.2017.11.014","article-title":"Coronary artery disease reporting and data system (CAD-RADS[TM]): inter-observer agreement for assessment categories and modifiers","volume":"12","author":"Maroules","year":"2018","journal-title":"J\u00a0Cardiovasc Comput Tomogr"},{"issue":"12","key":"10.1016\/j.jcmg.2024.08.012_bib38","doi-asserted-by":"crossref","first-page":"1573","DOI":"10.1093\/ehjci\/jeac192","article-title":"How to quantify coronary atherosclerotic plaque using computed tomography","volume":"23","author":"Szilveszter","year":"2022","journal-title":"Eur Heart J Cardiovasc Imaging"},{"issue":"12","key":"10.1016\/j.jcmg.2024.08.012_bib39","doi-asserted-by":"crossref","first-page":"1331","DOI":"10.1093\/ehjci\/jex183","article-title":"Quantitative global plaque characteristics from coronary computed tomography angiography for the prediction of future cardiac mortality during long-term follow-up","volume":"18","author":"Hell","year":"2017","journal-title":"Eur Heart J Cardiovasc Imaging"},{"issue":"1","key":"10.1016\/j.jcmg.2024.08.012_bib40","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1093\/ehjci\/jeaa210","article-title":"Age- and sex-related features of atherosclerosis from coronary computed tomography angiography in patients prior to acute coronary syndrome: results from the ICONIC study","volume":"22","author":"Conte","year":"2021","journal-title":"Eur Heart J Cardiovasc Imaging"},{"issue":"4","key":"10.1016\/j.jcmg.2024.08.012_bib41","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.jacc.2015.05.069","article-title":"Plaque characterization by coronary computed tomography angiography and the likelihood of acute coronary events in mid-term follow-up","volume":"66","author":"Motoyama","year":"2015","journal-title":"J\u00a0Am Coll Cardiol"},{"issue":"4","key":"10.1016\/j.jcmg.2024.08.012_bib42","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.jacc.2007.03.044","article-title":"Multislice computed tomographic characteristics of coronary lesions in acute coronary syndromes","volume":"50","author":"Motoyama","year":"2007","journal-title":"J\u00a0Am Coll Cardiol"}],"container-title":["JACC: Cardiovascular Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1936878X24003760?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1936878X24003760?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T03:21:43Z","timestamp":1772335303000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1936878X24003760"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":41,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,3]]}},"alternative-id":["S1936878X24003760"],"URL":"https:\/\/doi.org\/10.1016\/j.jcmg.2024.08.012","relation":{},"ISSN":["1936-878X"],"issn-type":[{"value":"1936-878X","type":"print"}],"subject":[],"published":{"date-parts":[[2025,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Coronary Plaque Radiomic Phenotypes Predict Fatal or Nonfatal Myocardial\u00a0Infarction","name":"articletitle","label":"Article Title"},{"value":"JACC: Cardiovascular Imaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jcmg.2024.08.012","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 by the American College of Cardiology Foundation. Published by Elsevier.","name":"copyright","label":"Copyright"}]}}