{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T15:37:54Z","timestamp":1793115474750,"version":"4.5.0"},"reference-count":33,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T00:00:00Z","timestamp":1693180800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003345","name":"Chinese Academy of Meteorological Sciences","doi-asserted-by":"publisher","award":["T-B-044"],"award-info":[{"award-number":["T-B-044"]}],"id":[{"id":"10.13039\/501100003345","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFC2008100"],"award-info":[{"award-number":["2020YFC2008100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["thelancet.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["eBioMedicine"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1016\/j.ebiom.2023.104794","type":"journal-article","created":{"date-parts":[[2023,9,9]],"date-time":"2023-09-09T08:41:34Z","timestamp":1694248894000},"page":"104794","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":46,"special_numbering":"C","title":["Development and validation of a deep learning-based fully automated algorithm for pre-TAVR CT assessment of the aortic valvular complex and detection of anatomical risk factors: a retrospective, multicentre study"],"prefix":"10.1016","volume":"96","author":[{"given":"Moyang","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guannan","family":"Niu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5911-8300","authenticated-orcid":false,"given":"Yang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dejing","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4645-2817","authenticated-orcid":false,"given":"Yuxuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongjian","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongjian","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moyang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangyuan","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haibo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daxin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changfu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongtao","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongliang","family":"Cong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nan","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengfei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiquan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"An","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengming","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junjie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianxian","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fanglin","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianbao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanqing","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianfang","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lianglong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenfei","family":"Fang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoke","family":"Shang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.ebiom.2023.104794_bib1","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1007\/s40119-020-00198-z","article-title":"Expansion of TAVR into low-risk patients and who to consider for SAVR","volume":"9","author":"Patel","year":"2020","journal-title":"Cardiol Ther"},{"issue":"1","key":"10.1016\/j.ebiom.2023.104794_bib2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jcmg.2018.12.003","article-title":"Computed tomography imaging in the context of transcatheter aortic valve implantation (TAVI)\/transcatheter aortic valve replacement (TAVR): an expert consensus document of the society of cardiovascular computed tomography","volume":"12","author":"Blanke","year":"2019","journal-title":"JACC Cardiovasc Imaging"},{"issue":"13","key":"10.1016\/j.ebiom.2023.104794_bib3","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.4244\/EIJ-D-21-00040","article-title":"Twelve-month outcomes of the TaurusOne valve for transcatheter aortic valve implantation in patients with severe aortic stenosis","volume":"17","author":"Wang","year":"2022","journal-title":"EuroIntervention"},{"issue":"Suppl 1","key":"10.1016\/j.ebiom.2023.104794_bib4","first-page":"752","article-title":"Morphological characteristics of severe aortic stenosis in China: imaging corelab observations from the first Chinese transcatheter aortic valve trial","volume":"85","author":"Jilaihawi","year":"2015","journal-title":"Catheter Cardiovasc Interv"},{"issue":"3","key":"10.1016\/j.ebiom.2023.104794_bib5","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.jacasi.2021.11.013","article-title":"Distribution, characteristics, and management of older patients with valvular heart disease in China: China-DVD study","volume":"2","author":"Xu","year":"2022","journal-title":"JACC Asia"},{"issue":"5","key":"10.1016\/j.ebiom.2023.104794_bib6","doi-asserted-by":"crossref","first-page":"2627","DOI":"10.1007\/s00330-019-06357-8","article-title":"CT and MR imaging prior to transcatheter aortic valve implantation: standardisation of scanning protocols, measurements and reporting-a consensus document by the European Society of Cardiovascular Radiology (ESCR)","volume":"30","author":"Francone","year":"2020","journal-title":"Eur Radiol"},{"key":"10.1016\/j.ebiom.2023.104794_bib7","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/j.ijcard.2018.07.008","article-title":"Software-automated multidetector computed tomography-based prosthesis-sizing in transcatheter aortic valve replacement: inter-vendor comparison and relation to patient outcome","volume":"272","author":"Baessler","year":"2018","journal-title":"Int J Cardiol"},{"issue":"2","key":"10.1016\/j.ebiom.2023.104794_bib8","doi-asserted-by":"crossref","DOI":"10.1016\/j.shj.2022.100122","article-title":"Validation of a three-dimensional computed tomography reconstruction tool for aortic valve calcium quantification","volume":"7","author":"Hokken","year":"2023","journal-title":"Struct Heart"},{"issue":"3","key":"10.1016\/j.ebiom.2023.104794_bib9","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.tcm.2021.02.002","article-title":"Artificial intelligence and transcatheter interventions for structural heart disease: a glance at the (near) future","volume":"32","author":"Ribeiro","year":"2022","journal-title":"Trends Cardiovasc Med"},{"key":"10.1016\/j.ebiom.2023.104794_bib10","series-title":"Automatic aorta segmentation and valve landmark detection in C-arm CT: application to aortic valve Implantation","year":"2010"},{"issue":"1","key":"10.1016\/j.ebiom.2023.104794_bib11","first-page":"11","article-title":"Automatic aortic valve cusps segmentation from CT images based on the cascading multiple deep neural networks","volume":"8","author":"Aoyama","year":"2022","journal-title":"J\u00a0Imaging"},{"key":"10.1016\/j.ebiom.2023.104794_bib12","series-title":"2020 IEEE 17th international symposium on biomedical imaging (ISBI)","article-title":"Efficient aortic valve multilabel segmentation using a spatial transformer network","author":"Pak","year":"2020"},{"issue":"5","key":"10.1016\/j.ebiom.2023.104794_bib13","doi-asserted-by":"crossref","first-page":"1226","DOI":"10.1016\/j.jtcvs.2007.01.039","article-title":"A\u00a0classification system for the bicuspid aortic valve from 304 surgical specimens","volume":"133","author":"Sievers","year":"2007","journal-title":"J\u00a0Thorac Cardiovasc Surg"},{"issue":"4","key":"10.1016\/j.ebiom.2023.104794_bib14","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1016\/j.jacc.2020.11.035","article-title":"2020 ACC\/AHA guideline for the management of patients with valvular heart disease: executive summary: a report of the American College of Cardiology\/American Heart Association JOINT Committee on Clinical Practice Guidelines","volume":"77","author":"Writing Committee","year":"2021","journal-title":"J\u00a0Am Coll Cardiol"},{"issue":"7","key":"10.1016\/j.ebiom.2023.104794_bib15","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1093\/eurheartj\/ehab395","article-title":"2021 ESC\/EACTS Guidelines for the management of valvular heart disease","volume":"43","author":"Vahanian","year":"2022","journal-title":"Eur Heart J"},{"key":"10.1016\/j.ebiom.2023.104794_bib16","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.ijcard.2021.05.054","article-title":"Aortic angle distribution and predictors of horizontal aorta in patients undergoing transcatheter aortic valve replacement","volume":"338","author":"Moscarelli","year":"2021","journal-title":"Int J Cardiol"},{"issue":"29","key":"10.1016\/j.ebiom.2023.104794_bib17","doi-asserted-by":"crossref","first-page":"2729","DOI":"10.1093\/eurheartj\/ehac105","article-title":"Which patients with aortic stenosis should be referred to surgery rather than transcatheter aortic valve implantation?","volume":"43","author":"Windecker","year":"2022","journal-title":"Eur Heart J"},{"issue":"41","key":"10.1016\/j.ebiom.2023.104794_bib18","doi-asserted-by":"crossref","first-page":"2873","DOI":"10.1093\/eurheartj\/ehu281","volume":"35","author":"Erbel","year":"2014","journal-title":"Eur Heart J"},{"issue":"9","key":"10.1016\/j.ebiom.2023.104794_bib19","doi-asserted-by":"crossref","first-page":"1835","DOI":"10.1016\/j.jcmg.2019.01.045","article-title":"Why and how to measure aortic valve calcification in patients with aortic stenosis","volume":"12","author":"Pawade","year":"2019","journal-title":"JACC Cardiovasc Imaging"},{"issue":"11","key":"10.1016\/j.ebiom.2023.104794_bib20","doi-asserted-by":"crossref","first-page":"1502","DOI":"10.1093\/ehjci\/jeab180","article-title":"Association of aortic valvular complex calcification burden with procedural and long-term clinical outcomes after transcatheter aortic valve replacement","volume":"23","author":"Ko","year":"2022","journal-title":"Eur Heart J Cardiovasc Imaging"},{"issue":"24","key":"10.1016\/j.ebiom.2023.104794_bib21","doi-asserted-by":"crossref","first-page":"2968","DOI":"10.1097\/CM9.0000000000002517","article-title":"Anatomical morphology of the aortic valve in Chinese aortic stenosis patients and clinical results after downsize strategy of transcatheter aortic valve replacement","volume":"135","author":"Niu","year":"2022","journal-title":"Chin Med J"},{"key":"10.1016\/j.ebiom.2023.104794_bib22","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.ahj.2021.11.004","article-title":"Sinus of Valsalva dimension and clinical outcomes in patients undergoing transcatheter aortic valve implantation","volume":"244","author":"Tomii","year":"2022","journal-title":"Am Heart J"},{"key":"10.1016\/j.ebiom.2023.104794_bib23","doi-asserted-by":"crossref","DOI":"10.3389\/fcvm.2021.654554","article-title":"Challenging anatomies for TAVR-bicuspid and beyond","volume":"8","author":"Saad","year":"2021","journal-title":"Front Cardiovasc Med"},{"issue":"2","key":"10.1016\/j.ebiom.2023.104794_bib24","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","article-title":"nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation","volume":"18","author":"Isensee","year":"2021","journal-title":"Nat Methods"},{"issue":"10","key":"10.1016\/j.ebiom.2023.104794_bib25","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1016\/j.jcmg.2015.12.022","article-title":"A\u00a0bicuspid aortic valve imaging classification for the TAVR era","volume":"9","author":"Jilaihawi","year":"2016","journal-title":"JACC Cardiovasc Imaging"},{"issue":"3","key":"10.1016\/j.ebiom.2023.104794_bib26","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1145\/357994.358023","article-title":"A\u00a0fast parallel algorithm for thinning digital patterns","volume":"27","author":"Zhang","year":"1984","journal-title":"Commun ACM"},{"key":"10.1016\/j.ebiom.2023.104794_bib27","article-title":"Automatic detection of the aortic annular plane and coronary ostia from multidetector computed tomography","volume":"2020","author":"Astudillo","year":"2020","journal-title":"J\u00a0Intervent Cardiol"},{"issue":"3","key":"10.1016\/j.ebiom.2023.104794_bib28","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1007\/s11548-021-02554-3","article-title":"Cascaded neural network-based CT image processing for aortic root analysis","volume":"17","author":"Kruger","year":"2022","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"10.1016\/j.ebiom.2023.104794_bib29","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2021.104533","article-title":"Deep learning method for aortic root detection","volume":"135","author":"Tahoces","year":"2021","journal-title":"Comput Biol Med"},{"issue":"1","key":"10.1016\/j.ebiom.2023.104794_bib30","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1053\/j.jvca.2019.06.017","article-title":"Artificial intelligence for the measurement of the aortic valve annulus","volume":"34","author":"Thalappillil","year":"2020","journal-title":"J\u00a0Cardiothorac Vasc Anesth"},{"issue":"4","key":"10.1016\/j.ebiom.2023.104794_bib31","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1007\/s11548-020-02131-0","article-title":"Recursive multiresolution convolutional neural networks for 3D aortic valve annulus planimetry","volume":"15","author":"Theriault-Lauzier","year":"2020","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"5","key":"10.1016\/j.ebiom.2023.104794_bib32","first-page":"986","article-title":"Supra-annular structure assessment for self-expanding transcatheter heart valve size selection in patients with bicuspid aortic valve","volume":"91","author":"Liu","year":"2018","journal-title":"Catheter Cardiovasc Interv"},{"key":"10.1016\/j.ebiom.2023.104794_bib33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ejrad.2017.04.020","article-title":"Quantification of aortic annulus in computed tomography angiography: validation of a fully automatic methodology","volume":"93","author":"Gao","year":"2017","journal-title":"Eur J Radiol"}],"container-title":["eBioMedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352396423003602?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352396423003602?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T19:26:37Z","timestamp":1762457197000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2352396423003602"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":33,"alternative-id":["S2352396423003602"],"URL":"https:\/\/doi.org\/10.1016\/j.ebiom.2023.104794","relation":{},"ISSN":["2352-3964"],"issn-type":[{"value":"2352-3964","type":"print"}],"subject":[],"published":{"date-parts":[[2023,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Development and validation of a deep learning-based fully automated algorithm for pre-TAVR CT assessment of the aortic valvular complex and detection of anatomical risk factors: a retrospective, multicentre study","name":"articletitle","label":"Article Title"},{"value":"eBioMedicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ebiom.2023.104794","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"104794"}}