{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T14:05:08Z","timestamp":1787061908867,"version":"build-2736575974"},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T00:00:00Z","timestamp":1744848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>Coronary computed tomography angiography (CCTA) and magnetic resonance imaging (MRI) can predict periprocedural myocardial injury (PMI) after percutaneous coronary intervention (PCI). We aimed to investigate whether integrating MRI with CCTA, using the latest imaging and quantitative techniques, improves PMI prediction and to explore a potential hybrid CCTA\u2013MRI strategy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and results<\/jats:title>\n                    <jats:p>This prospective, multi-centre study conducted coronary atherosclerosis T1-weighted characterization MRI for patients scheduled for elective PCI for an atherosclerotic lesion detected on CCTA without prior revascularization. PMI was defined as post-PCI troponin-T &amp;gt; 5\u00d7 the upper reference limit. Using deep learning-enabled software, volumes of total plaque, calcified plaque, non-calcified plaque (NCP), and low-attenuation plaque (LAP; &amp;lt; 30 Hounsfield units) were quantified on CCTA. In non-contrast T1-weighted MRI, high-intensity plaque (HIP) volume was quantified as voxels with signal intensity exceeding that of the myocardium, weighted by their respective intensities. Of the 132 lesions from 120 patients, 43 resulted in PMI. In the CCTA-only strategy, LAP volume (P = 0.012) and NCP volume (P = 0.016) were independently associated with PMI. In integrating MRI with CCTA, LAP volume (P = 0.029), and HIP volume (P = 0.024) emerged as independent predictors. MRI integration with CCTA achieved a higher C-statistic value than CCTA alone (0.880 vs. 0.738; P = 0.004). A hybrid CCTA\u2013MRI strategy, incorporating MRI for lesions with intermediate PMI risk based on CCTA, maintained superior diagnostic accuracy over the CCTA-only strategy (0.803 vs. 0.705; P = 0.028).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Integrating MRI with CCTA improves PMI prediction compared with CCTA alone.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/ehjci\/jeaf116","type":"journal-article","created":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T07:37:00Z","timestamp":1744270620000},"page":"1152-1159","source":"Crossref","is-referenced-by-count":5,"title":["Hybrid strategy of coronary atherosclerosis characterization with T1-weighted MRI and CT angiography to non-invasively predict periprocedural myocardial injury"],"prefix":"10.1093","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6528-4118","authenticated-orcid":false,"given":"Hidenari","family":"Matsumoto","sequence":"first","affiliation":[{"name":"Division of Cardiology, Showa University School of Medicine , 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555 ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7914-8256","authenticated-orcid":false,"given":"Satoshi","family":"Higuchi","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Showa University School of Medicine , 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555 ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8560-8231","authenticated-orcid":false,"given":"Debiao","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Ijinkai Takeda General Hospital , Kyoto ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroki","family":"Tanisawa","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Showa University School of Medicine , 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555 ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koji","family":"Isodono","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Ijinkai Takeda General Hospital , Kyoto ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daisuke","family":"Irie","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Ijinkai Takeda General Hospital , Kyoto ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hidefumi","family":"Ohya","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Ijinkai Takeda General Hospital , Kyoto ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryoji","family":"Kitamura","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Ijinkai Takeda General Hospital , Kyoto ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyoichi","family":"Kaneko","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Showa University School of Medicine , 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555 ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Motoki","family":"Nakazawa","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Showa University School of Medicine , 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555 ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kengo","family":"Suzuki","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Showa University School of Medicine , 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555 ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoshiaki","family":"Komori","sequence":"additional","affiliation":[{"name":"MR Research and Collaboration Department, Siemens Healthcare K.K. , Tokyo ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tetsuichi","family":"Hondera","sequence":"additional","affiliation":[{"name":"Department of Radiological Technology, Showa University Hospital, Tokyo ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastien","family":"Cadet","sequence":"additional","affiliation":[{"name":"Biomedical Imaging Research Institute, Cedars-Sinai Medical Center , Los Angeles, CA ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hsu-Lei","family":"Lee","sequence":"additional","affiliation":[{"name":"Biomedical Imaging Research Institute, Cedars-Sinai Medical Center , Los Angeles, CA ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anthony G","family":"Christodoulou","sequence":"additional","affiliation":[{"name":"Department of Radiological Sciences, David Geffen School of Medicine at UCLA , Los Angeles, CA ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Piotr J","family":"Slomka","sequence":"additional","affiliation":[{"name":"Biomedical Imaging Research Institute, Cedars-Sinai Medical Center , Los Angeles, CA ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2236-6970","authenticated-orcid":false,"given":"Damini","family":"Dey","sequence":"additional","affiliation":[{"name":"Biomedical Imaging Research Institute, Cedars-Sinai Medical Center , Los Angeles, CA ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yibin","family":"Xie","sequence":"additional","affiliation":[{"name":"Biomedical Imaging Research Institute, Cedars-Sinai Medical Center , Los Angeles, CA ,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7349-7538","authenticated-orcid":false,"given":"Toshiro","family":"Shinke","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Showa University School of Medicine , 1-5-8 Hatanodai Shinagawa-ku, Tokyo 142-8555 ,","place":["Japan"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2025,4,17]]},"reference":[{"key":"2025062922373461900_jeaf116-B1","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1093\/eurheartj\/ehaa885","article-title":"Procedural myocardial injury, infarction and mortality in patients undergoing elective PCI: a pooled analysis of patient-level data","volume":"42","author":"Silvain","year":"2021","journal-title":"Eur Heart J"},{"key":"2025062922373461900_jeaf116-B2","doi-asserted-by":"crossref","first-page":"2630","DOI":"10.1093\/eurheartj\/ehab271","article-title":"Prognostically relevant periprocedural myocardial injury and infarction associated with percutaneous coronary interventions: a consensus document of the ESC working group on cellular biology of the heart and European association of percutaneous cardiovascular interventions (EAPCI)","volume":"42","author":"Bulluck","year":"2021","journal-title":"Eur Heart J"},{"key":"2025062922373461900_jeaf116-B3","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.jcct.2020.11.002","article-title":"Society of cardiovascular computed tomography\/north American society of cardiovascular imaging - expert consensus document on coronary CT imaging of atherosclerotic plaque","volume":"15","author":"Shaw","year":"2021","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"2025062922373461900_jeaf116-B4","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.jcct.2021.07.001","article-title":"Quantitative assessment of atherosclerotic plaque, recent progress and current limitations","volume":"16","author":"Williams","year":"2022","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"2025062922373461900_jeaf116-B5","doi-asserted-by":"crossref","first-page":"1913","DOI":"10.1093\/eurheartj\/ehv187","article-title":"Coronary high-intensity plaque on T1-weighted magnetic resonance imaging and its association with myocardial injury after percutaneous coronary intervention","volume":"36","author":"Hoshi","year":"2015","journal-title":"Eur Heart J"},{"key":"2025062922373461900_jeaf116-B6","doi-asserted-by":"crossref","first-page":"3020","DOI":"10.1007\/s00330-022-09288-z","article-title":"Impact of coronary plaque characteristics on periprocedural myocardial injury in elective percutaneous coronary intervention","volume":"33","author":"Usami","year":"2022","journal-title":"Eur Radiol"},{"key":"2025062922373461900_jeaf116-B7","doi-asserted-by":"crossref","first-page":"100999","DOI":"10.1016\/j.jocmr.2024.100999","article-title":"Rapid three-dimensional quantification of high-intensity plaques from coronary atherosclerosis T(1)-weighted characterization to predict periprocedural myocardial injury","volume":"26","author":"Nakazawa","year":"2024","journal-title":"J Cardiovasc Magn Reson"},{"key":"2025062922373461900_jeaf116-B8","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1186\/s12968-019-0588-6","article-title":"Three-dimensional assessment of coronary high-intensity plaques with T1-weighted cardiovascular magnetic resonance imaging to predict periprocedural myocardial injury after elective percutaneous coronary intervention","volume":"22","author":"Hosoda","year":"2020","journal-title":"J Cardiovasc Magn Reson"},{"key":"2025062922373461900_jeaf116-B9","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1016\/j.jcmg.2016.06.014","article-title":"Coronary atherosclerosis T1-weighed characterization with integrated anatomical reference: comparison with high-risk plaque features detected by invasive coronary imaging","volume":"10","author":"Xie","year":"2017","journal-title":"JACC Cardiovasc Imaging"},{"key":"2025062922373461900_jeaf116-B10","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":"2025062922373461900_jeaf116-B11","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1016\/j.jcin.2015.01.032","article-title":"Plaque characterization to inform the prediction and prevention of periprocedural myocardial infarction during percutaneous coronary intervention: the CANARY trial (coronary assessment by near-infrared of atherosclerotic rupture-prone yellow)","volume":"8","author":"Stone","year":"2015","journal-title":"JACC Cardiovasc Interv"},{"key":"2025062922373461900_jeaf116-B12","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1093\/eurheartj\/ehy462","article-title":"Fourth universal definition of myocardial infarction (2018)","volume":"40","author":"Thygesen","year":"2019","journal-title":"Eur Heart J"},{"key":"2025062922373461900_jeaf116-B13","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.jcct.2016.10.002","article-title":"SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: a report of the society of cardiovascular computed tomography guidelines committee: endorsed by the north American society for cardiovascular imaging (NASCI)","volume":"10","author":"Abbara","year":"2016","journal-title":"J Cardiovasc Comput Tomogr"},{"key":"2025062922373461900_jeaf116-B14","doi-asserted-by":"crossref","first-page":"e256","DOI":"10.1016\/S2589-7500(22)00022-X","article-title":"Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study","volume":"4","author":"Lin","year":"2022","journal-title":"Lancet Digit Health"},{"key":"2025062922373461900_jeaf116-B15","doi-asserted-by":"crossref","first-page":"e190069","DOI":"10.1148\/ryct.2019190069","article-title":"Improved evaluation of lipid-rich plaque at coronary CT angiography: head-to-head comparison with intravascular US","volume":"1","author":"Matsumoto","year":"2019","journal-title":"Radiol Cardiothorac Imaging"},{"key":"2025062922373461900_jeaf116-B16","doi-asserted-by":"crossref","first-page":"1881","DOI":"10.1016\/j.jacc.2012.01.051","article-title":"Impact of coronary plaque composition on cardiac troponin elevation after percutaneous coronary intervention in stable angina pectoris: a computed tomography analysis","volume":"59","author":"Watabe","year":"2012","journal-title":"J Am Coll Cardiol"},{"key":"2025062922373461900_jeaf116-B17","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1097\/MCA.0000000000000595","article-title":"Multimodality coronary imaging to predict periprocedural myocardial necrosis after an elective percutaneous coronary intervention","volume":"29","author":"Hoshino","year":"2018","journal-title":"Coron Artery Dis"},{"key":"2025062922373461900_jeaf116-B18","doi-asserted-by":"crossref","first-page":"1127121","DOI":"10.3389\/fcvm.2023.1127121","article-title":"Multimodality imaging to identify lipid-rich coronary plaques and predict periprocedural myocardial injury: association between near-infrared spectroscopy and coronary computed tomography angiography","volume":"10","author":"Ota","year":"2023","journal-title":"Front Cardiovasc Med"},{"key":"2025062922373461900_jeaf116-B19","doi-asserted-by":"crossref","first-page":"e230090","DOI":"10.1148\/ryct.230090","article-title":"Quantification of low-attenuation plaque burden from coronary CT angiography: a head-to-head comparison with near-infrared spectroscopy intravascular US","volume":"5","author":"Tanisawa","year":"2023","journal-title":"Radiol Cardiothorac Imaging"},{"key":"2025062922373461900_jeaf116-B20","doi-asserted-by":"crossref","first-page":"1502","DOI":"10.1016\/j.cjca.2023.06.005","article-title":"Complementary roles of near-infrared spectroscopy and intravascular ultrasound in the prediction of periprocedural myocardial injury","volume":"39","author":"Irie","year":"2023","journal-title":"Can J Cardiol"},{"key":"2025062922373461900_jeaf116-B21","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.carpath.2019.01.002","article-title":"Coronary high-signal-intensity plaques on T1-weighted magnetic resonance imaging reflect intraplaque hemorrhage","volume":"40","author":"Kuroiwa","year":"2019","journal-title":"Cardiovasc Pathol"},{"key":"2025062922373461900_jeaf116-B22","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1148\/radiol.211463","article-title":"Coronary high-intensity plaques at T1-weighted MRI in stable coronary artery disease: comparison with near-infrared spectroscopy intravascular US","volume":"302","author":"Sato","year":"2022","journal-title":"Radiology"},{"key":"2025062922373461900_jeaf116-B23","first-page":"e230339","article-title":"Coronary plaque characterization with T1-weighted MRI and near-infrared spectroscopy to predict periprocedural myocardial injury","volume":"6","author":"Isodono","year":"2024","journal-title":"Radiol Cardiothorac Imaging"},{"key":"2025062922373461900_jeaf116-B24","doi-asserted-by":"crossref","first-page":"2064","DOI":"10.1148\/rg.2016160079","article-title":"Artifacts at cardiac CT: physics and solutions","volume":"36","author":"Kalisz","year":"2016","journal-title":"Radiographics"},{"key":"2025062922373461900_jeaf116-B25","doi-asserted-by":"crossref","first-page":"ytab460","DOI":"10.1093\/ehjcr\/ytab460","article-title":"Non-lipid-rich low attenuation plaque with intraplaque haemorrhage assessed by multimodality imaging: a case report","volume":"5","author":"Matsumoto","year":"2021","journal-title":"Eur Heart J Case Rep"}],"container-title":["European Heart Journal - Cardiovascular Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/ehjcimaging\/advance-article-pdf\/doi\/10.1093\/ehjci\/jeaf116\/62944896\/jeaf116.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/ehjcimaging\/article-pdf\/26\/7\/1152\/62944896\/jeaf116.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/ehjcimaging\/article-pdf\/26\/7\/1152\/62944896\/jeaf116.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T22:37:42Z","timestamp":1751236662000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/ehjcimaging\/article\/26\/7\/1152\/8115309"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,17]]},"references-count":25,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,4,17]]},"published-print":{"date-parts":[[2025,6,30]]}},"URL":"https:\/\/doi.org\/10.1093\/ehjci\/jeaf116","relation":{},"ISSN":["2047-2404","2047-2412"],"issn-type":[{"value":"2047-2404","type":"print"},{"value":"2047-2412","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2025,7]]},"published":{"date-parts":[[2025,4,17]]}}}