{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T12:52:55Z","timestamp":1790081575389,"version":"4.0.1"},"reference-count":34,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":365,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["JACC: Cardiovascular Imaging"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1016\/j.jcmg.2023.09.011","type":"journal-article","created":{"date-parts":[[2023,11,8]],"date-time":"2023-11-08T14:01:35Z","timestamp":1699452095000},"page":"349-360","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":43,"title":["Echocardiography-Based Deep Learning\u00a0Model to Differentiate Constrictive Pericarditis and Restrictive\u00a0Cardiomyopathy"],"prefix":"10.1016","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6155-0266","authenticated-orcid":false,"given":"Chieh-Ju","family":"Chao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiwoong","family":"Jeong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reza","family":"Arsanjani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kihong","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi-Lin","family":"Tsai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen-Chung","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5824-8485","authenticated-orcid":false,"given":"Juan M.","family":"Farina","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmed K.","family":"Mahmoud","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chadi","family":"Ayoub","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martha","family":"Grogan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Garvan C.","family":"Kane","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Imon","family":"Banerjee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8303-5780","authenticated-orcid":false,"given":"Jae K.","family":"Oh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.jcmg.2023.09.011_bib1","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1136\/heartjnl-2017-311683","article-title":"Constrictive pericarditis: diagnosis, management and clinical outcomes","volume":"104","author":"Welch","year":"2018","journal-title":"Heart"},{"issue":"13","key":"10.1016\/j.jcmg.2023.09.011_bib2","doi-asserted-by":"crossref","first-page":"1380","DOI":"10.1161\/01.CIR.100.13.1380","article-title":"Constrictive pericarditis in the modern era: evolving clinical\u00a0spectrum and impact on outcome after pericardiectomy","volume":"100","author":"Ling","year":"1999","journal-title":"Circulation"},{"issue":"11","key":"10.1016\/j.jcmg.2023.09.011_bib3","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1161\/CIRCULATIONAHA.111.018580","article-title":"Risk of constrictive pericarditis after acute pericarditis","volume":"124","author":"Imazio","year":"2011","journal-title":"Circulation"},{"issue":"8","key":"10.1016\/j.jcmg.2023.09.011_bib4","doi-asserted-by":"crossref","first-page":"1445","DOI":"10.1016\/j.jacc.2003.11.048","article-title":"Constrictive pericarditis: etiology and cause-specific survival after pericardiectomy","volume":"43","author":"Bertog","year":"2004","journal-title":"J\u00a0Am Coll Cardiol"},{"issue":"10","key":"10.1016\/j.jcmg.2023.09.011_bib5","doi-asserted-by":"crossref","first-page":"1555","DOI":"10.1253\/circj.CJ-08-0654","article-title":"Constrictive pericarditis","volume":"72","author":"Sengupta","year":"2008","journal-title":"Circ J"},{"issue":"3","key":"10.1016\/j.jcmg.2023.09.011_bib6","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1016\/j.ejcts.2009.03.004","article-title":"Constrictive pericarditis, still a\u00a0diagnostic challenge: comprehensive review of\u00a0clinical management","volume":"36","author":"Schwefer","year":"2009","journal-title":"Eur J Cardiothorac"},{"issue":"1","key":"10.1016\/j.jcmg.2023.09.011_bib7","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/0735-1097(94)90514-2","article-title":"Diagnostic role of Doppler echocardiography in constrictive pericarditis","volume":"23","author":"Oh","year":"1994","journal-title":"J\u00a0Am Coll Cardiol"},{"issue":"3","key":"10.1016\/j.jcmg.2023.09.011_bib8","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1161\/CIRCIMAGING.113.001613","article-title":"Echocardiographic diagnosis of constrictive pericarditis","volume":"7","author":"Welch","year":"2018","journal-title":"Circulation Cardiovasc Imaging"},{"issue":"1","key":"10.1016\/j.jcmg.2023.09.011_bib9","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1001\/jamacardio.2021.3483","article-title":"Distinguishing constrictive pericarditis from restrictive cardiomyopathy\u2014an ongoing diagnostic challenge","volume":"7","author":"Hirshfeld","year":"2022","journal-title":"JAMA Cardiol"},{"issue":"01","key":"10.1016\/j.jcmg.2023.09.011_bib10","doi-asserted-by":"crossref","first-page":"31","DOI":"10.22551\/2016.10.0301.10065","article-title":"Constrictive pericarditis \u2014 still an overlooked entity","volume":"03","author":"Aursulesei","year":"2016","journal-title":"Archive Clin Cases"},{"issue":"suppl 1","key":"10.1016\/j.jcmg.2023.09.011_bib11","first-page":"S47","article-title":"Controversial issues in restrictive cardiomyopathy","volume":"68","author":"Shabetai","year":"1992","journal-title":"Postgrad Med J"},{"issue":"2","key":"10.1016\/j.jcmg.2023.09.011_bib12","doi-asserted-by":"crossref","first-page":"ytz064","DOI":"10.1093\/ehjcr\/ytz064","article-title":"Misdiagnosis of constrictive pericarditis presenting with haemorrhagic pericardial effusion: a case report","volume":"3","author":"Li","year":"2019","journal-title":"Eur Heart J Case Rep"},{"issue":"11","key":"10.1016\/j.jcmg.2023.09.011_bib13","doi-asserted-by":"crossref","first-page":"1599","DOI":"10.1007\/s11886-022-01774-6","article-title":"Echocardiographic differentiation of pericardial constriction and left ventricular restriction","volume":"24","author":"Grewal","year":"2022","journal-title":"Curr Cardiol Rep"},{"issue":"5","key":"10.1016\/j.jcmg.2023.09.011_bib14","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/s11886-017-0851-0","article-title":"New cardiac imaging algorithms to diagnose constrictive pericarditis versus restrictive cardiomyopathy","volume":"19","author":"Mahmoud","year":"2017","journal-title":"Curr Cardiol Rep"},{"issue":"6","key":"10.1016\/j.jcmg.2023.09.011_bib15","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCIMAGING.115.004330","article-title":"Cognitive machine-learning algorithm for cardiac imaging","volume":"9","author":"Sengupta","year":"2018","journal-title":"Circ Cardiovasc Imaging"},{"issue":"4","key":"10.1016\/j.jcmg.2023.09.011_bib16","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1001\/jamacardio.2021.6059","article-title":"High-throughput precision phenotyping of left ventricular hypertrophy with cardiovascular deep learning","volume":"7","author":"Duffy","year":"2022","journal-title":"JAMA Cardiol"},{"issue":"16","key":"10.1016\/j.jcmg.2023.09.011_bib17","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.1161\/CIRCULATIONAHA.118.034338","article-title":"Fully automated echocardiogram interpretation in clinical practice","volume":"138","author":"Zhang","year":"2018","journal-title":"Circulation"},{"key":"10.1016\/j.jcmg.2023.09.011_bib18","doi-asserted-by":"crossref","DOI":"10.3389\/fcvm.2021.669860","article-title":"Deep learning analysis of echocardiographic images to predict positive genotype in patients with hypertrophic cardiomyopathy","volume":"8","author":"Morita","year":"2021","journal-title":"Front Cardiovasc Med"},{"key":"10.1016\/j.jcmg.2023.09.011_bib19","article-title":"Deep learning in spatiotemporal cardiac imaging: a review of methodologies and clinical usability","volume":"130","author":"Hernandez","year":"2020","journal-title":"Comput Biol Med"},{"issue":"2","key":"10.1016\/j.jcmg.2023.09.011_bib20","article-title":"An overview of overfitting and its solutions","volume":"1168","author":"Ying","year":"2019","journal-title":"J\u00a0Phys Conf Ser"},{"issue":"2","key":"10.1016\/j.jcmg.2023.09.011_bib21","first-page":"48","article-title":"Developing an echocardiography-based, automatic deep learning framework for the differentiation of increased left\u00a0ventricular wall thickness etiologies","volume":"9","author":"Li","year":"2023","journal-title":"J\u00a0Imaging"},{"issue":"11","key":"10.1016\/j.jcmg.2023.09.011_bib22","doi-asserted-by":"crossref","first-page":"2768","DOI":"10.1016\/j.mayocp.2021.04.023","article-title":"Artificial intelligence\u2013enhanced electrocardiogram for the early detection of cardiac amyloidosis","volume":"96","author":"Grogan","year":"2021","journal-title":"Mayo Clin Proc"},{"issue":"1","key":"10.1016\/j.jcmg.2023.09.011_bib23","doi-asserted-by":"crossref","first-page":"e7","DOI":"10.1161\/CIR.0000000000000792","article-title":"Cardiac amyloidosis: evolving diagnosis and\u00a0management: a scientific statement from the\u00a0American Heart Association","volume":"142","author":"Kittleson","year":"2020","journal-title":"Circulation"},{"issue":"17","key":"10.1016\/j.jcmg.2023.09.011_bib24","doi-asserted-by":"crossref","first-page":"1769","DOI":"10.1016\/j.jacc.2009.12.040","article-title":"Infiltrative cardiovascular diseases cardiomyopathies that look alike","volume":"55","author":"Seward","year":"2010","journal-title":"J\u00a0Am Coll Cardiol"},{"key":"10.1016\/j.jcmg.2023.09.011_bib25","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1109\/CVPR.2016.90","article-title":"Deep residual learning for image recognition","author":"He","year":"2016","journal-title":"2016 IEEE Conf Comput Vis Pattern Recognit Cvpr"},{"key":"10.1016\/j.jcmg.2023.09.011_bib26","series-title":"Aggregated residual transformations for deep neural networks","first-page":"5987","author":"Xie","year":"2017"},{"key":"10.1016\/j.jcmg.2023.09.011_bib27","article-title":"EfficientNet: rethinking model scaling for convolutional neural networks","author":"Tan","year":"2019","journal-title":"Arxiv"},{"issue":"1","key":"10.1016\/j.jcmg.2023.09.011_bib28","doi-asserted-by":"crossref","first-page":"5979","DOI":"10.1038\/s41598-022-09954-8","article-title":"On evaluation metrics for medical applications of artificial intelligence","volume":"12","author":"Hicks","year":"2022","journal-title":"Sci Rep"},{"key":"10.1016\/j.jcmg.2023.09.011_bib29","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1109\/ICCV.2017.74","article-title":"Grad-CAM: visual explanations from deep networks via gradient-based localization","author":"Selvaraju","year":"2017","journal-title":"2017 IEEE Int Conf Comput Vis ICCV"},{"issue":"4","key":"10.1016\/j.jcmg.2023.09.011_bib30","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.echo.2016.01.011","article-title":"Recommendations for the evaluation of left ventricular diastolic function by echocardiography: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging","volume":"29","author":"Nagueh","year":"2016","journal-title":"J\u00a0Am Soc Echocardiogr"},{"issue":"21","key":"10.1016\/j.jcmg.2023.09.011_bib31","doi-asserted-by":"crossref","first-page":"2329","DOI":"10.1016\/j.jacc.2016.08.050","article-title":"Differentiation of constriction and restriction complex cardiovascular hemodynamics","volume":"68","author":"Geske","year":"2016","journal-title":"J\u00a0Am Coll Cardiol"},{"issue":"1","key":"10.1016\/j.jcmg.2023.09.011_bib32","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1001\/jamacardio.2021.3478","article-title":"A\u00a0simplified method for the diagnosis of constrictive pericarditis in the cardiac catheterization laboratory","volume":"7","author":"Jain","year":"2022","journal-title":"JAMA Cardiol"},{"issue":"3","key":"10.1016\/j.jcmg.2023.09.011_bib33","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.jacc.2007.09.039","article-title":"Constrictive pericarditis in the modern era novel criteria for diagnosis in the cardiac catheterization laboratory","volume":"51","author":"Talreja","year":"2008","journal-title":"J\u00a0Am Coll Cardiol"},{"issue":"3","key":"10.1016\/j.jcmg.2023.09.011_bib34","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/S0022-5223(19)38783-5","article-title":"Early and late results of pericardiectomy for constrictive pericarditis","volume":"89","author":"McCaughan","year":"1985","journal-title":"J\u00a0Thorac Cardiovasc Surg"}],"container-title":["JACC: Cardiovascular Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1936878X23004370?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1936878X23004370?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T19:01:54Z","timestamp":1744484514000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1936878X23004370"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":34,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["S1936878X23004370"],"URL":"https:\/\/doi.org\/10.1016\/j.jcmg.2023.09.011","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2022.11.29.22282900","asserted-by":"object"}]},"ISSN":["1936-878X"],"issn-type":[{"value":"1936-878X","type":"print"}],"subject":[],"published":{"date-parts":[[2024,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Echocardiography-Based Deep Learning\u00a0Model to Differentiate Constrictive Pericarditis and Restrictive\u00a0Cardiomyopathy","name":"articletitle","label":"Article Title"},{"value":"JACC: Cardiovascular Imaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jcmg.2023.09.011","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 by the American College of Cardiology Foundation. Published by Elsevier.","name":"copyright","label":"Copyright"}]}}