{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T02:50:14Z","timestamp":1791946214688,"version":"4.3.4"},"reference-count":34,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T00:00:00Z","timestamp":1756944000000},"content-version":"vor","delay-in-days":246,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100020437","name":"Beijing Association for Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100020437","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L246071"],"award-info":[{"award-number":["L246071"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L232132"],"award-info":[{"award-number":["L232132"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L232130"],"award-info":[{"award-number":["L232130"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271061"],"award-info":[{"award-number":["62271061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Cardiovascular Magnetic Resonance"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1016\/j.jocmr.2025.101956","type":"journal-article","created":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:13:58Z","timestamp":1757542438000},"page":"101956","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"title":["A radiomic model based on 7T intracranial vessel wall imaging for identification of culprit middle cerebral artery plaque associated with subcortical infarctions"],"prefix":"10.1016","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-3006-7794","authenticated-orcid":false,"given":"Tong","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenhui","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Bai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mahmud","family":"Mossa-Basha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanbin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xun","family":"Pei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaifen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingquan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zixiao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengjun","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Duanduan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuaitong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1052-6992","authenticated-orcid":false,"given":"Binbin","family":"Sui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jocmr.2025.101956_bib1","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.nbd.2018.11.008","article-title":"Intracranial atherosclerotic disease","volume":"124","author":"Wang","year":"2019","journal-title":"Neurobiol Dis"},{"key":"10.1016\/j.jocmr.2025.101956_bib2","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1161\/STROKEAHA.118.024147","article-title":"Intracranial atherosclerotic disease","volume":"50","author":"Yaghi","year":"2019","journal-title":"Stroke"},{"key":"10.1016\/j.jocmr.2025.101956_bib3","doi-asserted-by":"crossref","first-page":"2801","DOI":"10.1161\/STROKEAHA.120.030215","article-title":"Plaque distribution correlates with morphology of lenticulostriate arteries in single subcortical infarctions","volume":"51","author":"Jiang","year":"2020","journal-title":"Stroke"},{"key":"10.1016\/j.jocmr.2025.101956_bib4","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1002\/ca.1032","article-title":"Anatomic and clinical correlations of the lenticulostriate arteries","volume":"14","author":"Marinkovi\u0107","year":"2001","journal-title":"Clin Anat"},{"key":"10.1016\/j.jocmr.2025.101956_bib5","doi-asserted-by":"crossref","first-page":"261","DOI":"10.3171\/jns.1985.62.2.0261","article-title":"The perforating branches of the middle cerebral artery. A microanatomical study","volume":"62","author":"Umansky","year":"1985","journal-title":"J Neurosurg"},{"key":"10.1016\/j.jocmr.2025.101956_bib6","doi-asserted-by":"crossref","first-page":"3623","DOI":"10.1161\/STROKEAHA.120.031167","article-title":"Detection and quantification of symptomatic atherosclerotic plaques with high-resolution imaging in cryptogenic stroke","volume":"51","author":"Fakih","year":"2020","journal-title":"Stroke"},{"key":"10.1016\/j.jocmr.2025.101956_bib7","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1161\/STROKEAHA.123.043630","article-title":"Epidemiology, pathophysiology, and imaging of atherosclerotic intracranial disease","volume":"55","author":"Chen","year":"2024","journal-title":"Stroke"},{"key":"10.1016\/j.jocmr.2025.101956_bib8","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1177\/17474930211066427","article-title":"Intracranial atherosclerosis: review of imaging features and advances in diagnostics","volume":"17","author":"Kim","year":"2022","journal-title":"Int J Stroke"},{"key":"10.1016\/j.jocmr.2025.101956_bib9","doi-asserted-by":"crossref","first-page":"249","DOI":"10.5853\/jos.2016.01956","article-title":"Intracranial atherosclerosis: from microscopy to high-resolution magnetic resonance imaging","volume":"19","author":"Yang","year":"2017","journal-title":"J Stroke"},{"key":"10.1016\/j.jocmr.2025.101956_bib10","doi-asserted-by":"crossref","first-page":"238","DOI":"10.5853\/jos.2015.17.3.238","article-title":"Vessel wall imaging of the intracranial and cervical carotid arteries","volume":"17","author":"Choi","year":"2015","journal-title":"J Stroke"},{"key":"10.1016\/j.jocmr.2025.101956_bib11","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1186\/s12968-018-0465-8","article-title":"Quantitative assessment of symptomatic intracranial atherosclerosis and lenticulostriate arteries in recent stroke patients using whole-brain high-resolution cardiovascular magnetic resonance imaging","volume":"20","author":"Wang","year":"2018","journal-title":"J Cardiovasc Magn Reson"},{"key":"10.1016\/j.jocmr.2025.101956_bib12","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.118.009705","article-title":"Differential features of culprit intracranial atherosclerotic lesions: a whole\u2010brain vessel wall imaging study in patients with acute ischemic stroke","volume":"7","author":"Wu","year":"2018","journal-title":"JAHA"},{"key":"10.1016\/j.jocmr.2025.101956_bib13","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.atherosclerosis.2021.01.002","article-title":"Acute ischemic stroke versus transient ischemic attack: differential plaque morphological features in symptomatic intracranial atherosclerotic lesions","volume":"319","author":"Xiao","year":"2021","journal-title":"Atherosclerosis"},{"key":"10.1016\/j.jocmr.2025.101956_bib14","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1016\/j.neuroimage.2016.11.044","article-title":"Clinical vascular imaging in the brain at 7T","volume":"168","author":"De Cocker","year":"2018","journal-title":"NeuroImage"},{"key":"10.1016\/j.jocmr.2025.101956_bib15","doi-asserted-by":"crossref","first-page":"1585","DOI":"10.1007\/s00330-016-4483-3","article-title":"High-resolution intracranial vessel wall MRI in an elderly asymptomatic population: comparison of 3T and 7T","volume":"27","author":"Harteveld","year":"2017","journal-title":"Eur Radiol"},{"key":"10.1016\/j.jocmr.2025.101956_bib16","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1002\/jmri.28839","article-title":"Evaluating middle cerebral artery plaque characteristics and lenticulostriate artery morphology associated with subcortical infarctions at 7T MRI","volume":"59","author":"Bai","year":"2024","journal-title":"J Magn Reson Imaging JMRI"},{"key":"10.1016\/j.jocmr.2025.101956_bib17","doi-asserted-by":"crossref","DOI":"10.1148\/radiol.221693","article-title":"A coronary CT angiography radiomics model to identify vulnerable plaque and predict cardiovascular events","volume":"307","author":"Chen","year":"2023","journal-title":"Radiology"},{"key":"10.1016\/j.jocmr.2025.101956_bib18","doi-asserted-by":"crossref","first-page":"3116","DOI":"10.1007\/s00330-020-07361-z","article-title":"Identification of high-risk carotid plaque with MRI-based radiomics and machine learning","volume":"31","author":"Zhang","year":"2021","journal-title":"Eur Radiol"},{"key":"10.1016\/j.jocmr.2025.101956_bib19","article-title":"Atherosclerotic carotid artery disease radiomics: a systematic review with meta-analysis and radiomic quality score assessment","volume":"177","author":"Vacca","year":"2024","journal-title":"Eur J Radiol"},{"key":"10.1016\/j.jocmr.2025.101956_bib20","doi-asserted-by":"crossref","first-page":"3912","DOI":"10.1007\/s00330-018-5395-1","article-title":"Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach","volume":"28","author":"Shi","year":"2018","journal-title":"Eur Radiol"},{"key":"10.1016\/j.jocmr.2025.101956_bib21","doi-asserted-by":"crossref","first-page":"2161","DOI":"10.1161\/STROKEAHA.120.029062","article-title":"Quantitative histogram analysis on intracranial atherosclerotic plaques: a high-resolution magnetic resonance imaging study","volume":"51","author":"Shi","year":"2020","journal-title":"Stroke"},{"key":"10.1016\/j.jocmr.2025.101956_bib22","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2022.851353","article-title":"Radiomics nomogram for predicting stroke recurrence in symptomatic intracranial atherosclerotic stenosis","volume":"16","author":"Tang","year":"2022","journal-title":"Front Neurosci"},{"key":"10.1016\/j.jocmr.2025.101956_bib23","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1186\/s13244-023-01415-8","article-title":"CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII","volume":"14","author":"Kocak","year":"2023","journal-title":"Insights Imaging"},{"key":"10.1016\/j.jocmr.2025.101956_bib24","doi-asserted-by":"crossref","first-page":"1488","DOI":"10.1212\/WNL.45.8.1488","article-title":"The warfarin-aspirin symptomatic intracranial disease study","volume":"45","author":"Chimowitz","year":"1995","journal-title":"Neurology"},{"key":"10.1016\/j.jocmr.2025.101956_bib25","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1002\/ana.22626","article-title":"Middle cerebral artery intraplaque hemorrhage: prevalence and clinical relevance","volume":"71","author":"Xu","year":"2012","journal-title":"Ann Neurol"},{"key":"10.1016\/j.jocmr.2025.101956_bib26","doi-asserted-by":"crossref","first-page":"2957","DOI":"10.1161\/STROKEAHA.111.618132","article-title":"Plaque distribution of stenotic middle cerebral artery and its clinical relevance","volume":"42","author":"Xu","year":"2011","journal-title":"Stroke"},{"key":"10.1016\/j.jocmr.2025.101956_bib27","doi-asserted-by":"crossref","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","article-title":"Computational radiomics system to decode the radiographic phenotype","volume":"77","author":"Van Griethuysen","year":"2017","journal-title":"Cancer Res"},{"key":"10.1016\/j.jocmr.2025.101956_bib28","doi-asserted-by":"crossref","first-page":"8231","DOI":"10.1245\/s10434-023-14253-1","article-title":"Radiomics nomogram with added nodal features improves treatment response prediction in locally advanced esophageal squamous cell carcinoma: a multicenter study","volume":"30","author":"Li","year":"2023","journal-title":"Ann Surg Oncol"},{"key":"10.1016\/j.jocmr.2025.101956_bib29","doi-asserted-by":"crossref","DOI":"10.1177\/15910199241275722","article-title":"7T-high resolution MRI-derived radiomic analysis for the identification of symptomatic intracranial atherosclerotic plaques","author":"Sanchez","year":"2024","journal-title":"Interv Neuroradiol"},{"key":"10.1016\/j.jocmr.2025.101956_bib30","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1161\/STROKEAHA.117.020046","article-title":"Hyperintense plaque on intracranial vessel wall magnetic resonance imaging as a predictor of artery-to-artery embolic infarction","volume":"49","author":"Wu","year":"2018","journal-title":"Stroke"},{"key":"10.1016\/j.jocmr.2025.101956_bib31","doi-asserted-by":"crossref","DOI":"10.1016\/j.jstrokecerebrovasdis.2021.105724","article-title":"Association of plaque features with infarct patterns in patients with acutely symptomatic middle cerebral artery atherosclerotic disease","volume":"30","author":"Li","year":"2021","journal-title":"J Stroke Cerebrovasc Dis"},{"key":"10.1016\/j.jocmr.2025.101956_bib32","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1179\/1743132815Y.0000000088","article-title":"Wall characteristics and mechanisms of ischaemic stroke in patients with atherosclerotic middle cerebral artery stenosis: a high-resolution MRI study","volume":"38","author":"Zhao","year":"2016","journal-title":"Neurol Res"},{"key":"10.1016\/j.jocmr.2025.101956_bib33","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.3389\/fneur.2018.01032","article-title":"Vessel-wall magnetic resonance imaging of intracranial atherosclerotic plaque and ischemic stroke: a systematic review and meta-analysis","volume":"9","author":"Lee","year":"2018","journal-title":"Front Neurol"},{"key":"10.1016\/j.jocmr.2025.101956_bib34","doi-asserted-by":"crossref","first-page":"6494","DOI":"10.1007\/s00415-022-11315-4","article-title":"Identification of high-risk intracranial plaques with 3D high-resolution magnetic resonance imaging-based radiomics and machine learning","volume":"269","author":"Li","year":"2022","journal-title":"J Neurol"}],"container-title":["Journal of Cardiovascular Magnetic Resonance"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1097664725001188?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1097664725001188?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T19:43:08Z","timestamp":1773862988000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1097664725001188"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":34,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025]]}},"alternative-id":["S1097664725001188"],"URL":"https:\/\/doi.org\/10.1016\/j.jocmr.2025.101956","relation":{},"ISSN":["1097-6647"],"issn-type":[{"value":"1097-6647","type":"print"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A radiomic model based on 7T intracranial vessel wall imaging for identification of culprit middle cerebral artery plaque associated with subcortical infarctions","name":"articletitle","label":"Article Title"},{"value":"Journal of Cardiovascular Magnetic Resonance","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jocmr.2025.101956","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier Inc. on behalf of Society for Cardiovascular Magnetic Resonance.","name":"copyright","label":"Copyright"}],"article-number":"101956"}}