{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T01:12:19Z","timestamp":1778634739068,"version":"3.51.4"},"reference-count":40,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2018,9,13]],"date-time":"2018-09-13T00:00:00Z","timestamp":1536796800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"University of Malaya RU Grant - Faculty Programme","award":["RF011A-2018"],"award-info":[{"award-number":["RF011A-2018"]}]},{"name":"University of Malaya Research Grant","award":["RP028A-14HTM"],"award-info":[{"award-number":["RP028A-14HTM"]}]},{"name":"Fundamental Research Grant Scheme","award":["FP002-2017A"],"award-info":[{"award-number":["FP002-2017A"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2019,4]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Existing clinical diagnostic and assessment methods could be improved to facilitate early detection and treatment of cardiac dysfunction associated with acute myocardial infarction (AMI) to reduce morbidity and mortality.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To develop 3D personalized left ventricular (LV) models and thickening assessment framework for assessing regional wall thickening dysfunction and dyssynchrony in AMI patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Retrospective study, diagnostic accuracy.<\/jats:p><\/jats:sec><jats:sec><jats:title>Subjects<\/jats:title><jats:p>Forty\u2010four subjects consisting of 15 healthy subjects and 29 AMI patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>1.5T\/steady\u2010state free precession cine MRI scans; LGE MRI scans.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Quantitative thickening measurements across all cardiac phases were correlated and validated against clinical evaluation of infarct transmurality by an experienced cardiac radiologist based on the American Heart Association (AHA) 17\u2010segment model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Test<\/jats:title><jats:p>Nonparametric 2\u2010k related sample\u2010based Kruskal\u2013Wallis test; Mann\u2013Whitney <jats:italic>U<\/jats:italic>\u2010test; Pearson's correlation coefficient.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Healthy LV wall segments undergo significant wall thickening (<jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05) during ejection and have on average a thicker wall (8.73\u2009\u00b1\u20091.01\u2009mm) compared with infarcted wall segments (2.86\u2009\u00b1\u20091.11\u2009mm). Myocardium with thick infarct (ie, &gt;50% transmurality) underwent remarkable wall thinning during contraction (thickening index [TI]\u2009=\u20091.46\u2009\u00b1\u20090.26\u2009mm) as opposed to healthy myocardium (TI\u2009=\u20094.01\u2009\u00b1\u20091.04\u2009mm). For AMI patients, LV that showed signs of thinning were found to be associated with a significantly higher percentage of dyssynchrony as compared with healthy subjects (dyssynchrony index [DI]\u2009=\u200915.0\u2009\u00b1\u20095.0% vs. 7.5\u2009\u00b1\u20092.0%, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.01). Also, a strong correlation was found between our TI and left ventricular ejection fraction (LVEF) (<jats:italic>r<\/jats:italic>\u2009=\u20090.892, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.01), and moderate correlation between DI and LVEF (<jats:italic>r<\/jats:italic>\u2009=\u20090.494, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.01).<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>The extracted regional wall thickening and DIs are shown to be strongly correlated with infarct severity, therefore suggestive of possible practical clinical utility.<\/jats:p><jats:p><jats:bold>Level of Evidence<\/jats:bold>: 2<\/jats:p><jats:p><jats:bold>Technical Efficacy<\/jats:bold>: Stage 1<\/jats:p><jats:p>J. Magn. Reson. Imaging 2019;49:1006\u20131019.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.26302","type":"journal-article","created":{"date-parts":[[2018,9,13]],"date-time":"2018-09-13T10:16:17Z","timestamp":1536833777000},"page":"1006-1019","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Assessing regional left ventricular thickening dysfunction and dyssynchrony via personalized modeling and 3D wall thickness measurements for acute myocardial infarction"],"prefix":"10.1002","volume":"49","author":[{"given":"Amirah","family":"Khalid","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, Faculty of Engineering University of Malaya  Kuala Lumpur Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Einly","family":"Lim","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Faculty of Engineering University of Malaya  Kuala Lumpur Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bee Ting","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Faculty of Engineering University of Malaya  Kuala Lumpur Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang Faridah","family":"Abdul Aziz","sequence":"additional","affiliation":[{"name":"University Malaya Research Imaging Centre, Department of Biomedical Imaging, Faculty of Medicine University of Malaya  Kuala Lumpur Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kok Han","family":"Chee","sequence":"additional","affiliation":[{"name":"Department of Medicine, Faculty of Medicine Building University of Malaya  Kuala Lumpur Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hwa Jen","family":"Yap","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Faculty of Engineering University of Malaya  Kuala Lumpur Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yih Miin","family":"Liew","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Faculty of Engineering University of Malaya  Kuala Lumpur Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2018,9,13]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.22033"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2007.09.011"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1152\/ajpheart.00553.2013"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.2174\/1573403X113099990030"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-014-3188-8"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1005869509149"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.74.2.293"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.95.4.924"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/ccd.21048"},{"key":"e_1_2_6_11_1","doi-asserted-by":"crossref","unstructured":"Ord\u00e1sS FrangiAF eds.Automatic quantitative analysis of myocardial wall motion and thickening from long\u2010and short\u2010axis cine MRI studies. 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