{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T03:10:17Z","timestamp":1766545817419,"version":"build-2065373602"},"reference-count":25,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T00:00:00Z","timestamp":1582156800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81430006","81770308","81970243"],"award-info":[{"award-number":["81430006","81770308","81970243"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Natural Science Foundation of Beijing Municipality","doi-asserted-by":"publisher","award":["7172183"],"award-info":[{"award-number":["7172183"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Science"],"published-print":{"date-parts":[[2020,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Congenital heart disease (CHD) is the major cause of morbidity\/mortality in infancy and childhood. Using a mouse model to uncover the mechanism of CHD is essential to understand its pathogenesis. However, conventional 2D phenotyping methods cannot comprehensively exhibit and accurately distinguish various 3D cardiac malformations for the complicated structure of heart cavity. Here, a new automated tool based on microcomputed tomography (micro\u2010CT) image data sets known as computer\u2010assisted cardiac cavity tracking (CACCT) is presented, which can detect the connections between cardiac cavities and identify complicated cardiac malformations in mouse hearts automatically. With CACCT, researchers, even those without expert training or diagnostic experience of CHD, can identify complicated cardiac malformations in mice conveniently and precisely, including transposition of the great arteries, double\u2010outlet right ventricle and atypical ventricular septal defect, whose accuracy is equivalent to senior fetal cardiologists. CACCT provides an effective approach to accurately identify heterogeneous cardiac malformations, which will facilitate the mechanistic studies into CHD and heart development.<\/jats:p>","DOI":"10.1002\/advs.201903592","type":"journal-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T02:26:11Z","timestamp":1582251971000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["CACCT: An Automated Tool of Detecting Complicated Cardiac Malformations in Mouse Models"],"prefix":"10.1002","volume":"7","author":[{"given":"Qing","family":"Chu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Cardiovascular Disease Fuwai Hospital National Center for Cardiovascular Disease Chinese Academy of Medical Sciences and Peking Union Medical College  Beijing 100037 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(CAS) University of Chinese Academy of Sciences  Shanghai 200031 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenzhang","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences  Beijing 100089 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhang","family":"Yue","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Surgery Union Hospital Tongji Medical College Huazhong University of Science and Technology  Wuhan 430022 China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Lian","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cardiovascular Disease Fuwai Hospital National Center for Cardiovascular Disease Chinese Academy of Medical Sciences and Peking Union Medical College  Beijing 100037 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