{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T18:35:13Z","timestamp":1789583713478,"version":"build-2803163510"},"reference-count":20,"publisher":"Elsevier BV","issue":"5","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T00:00:00Z","timestamp":1793404800000},"content-version":"am","delay-in-days":364,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jtcvsonline.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["The Journal of Thoracic and Cardiovascular Surgery"],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1016\/j.jtcvs.2025.04.044","type":"journal-article","created":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T11:03:34Z","timestamp":1746183814000},"page":"1402-1409.e1","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"title":["Machine learning methods to predict transvalvular gradient waveform post\u2013transcatheter aortic valve replacement using preprocedural echocardiogram"],"prefix":"10.1016","volume":"170","author":[{"given":"Wenyuan","family":"Song","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taylor","family":"Sirset-Becker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luis Ren\u00e9","family":"Mata Quinonez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dhruv","family":"Polsani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Venkateshwar","family":"Polsani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pradeep","family":"Yadav","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vinod","family":"Thourani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lakshmi Prasad","family":"Dasi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"8","key":"10.1016\/j.jtcvs.2025.04.044_bib1","article-title":"The longest known survival of a patient with bioprosthetic aortic valve replacement: a 42-year follow-up","volume":"15","author":"Ahmed","year":"2023","journal-title":"Cureus"},{"issue":"25","key":"10.1016\/j.jtcvs.2025.04.044_bib2","doi-asserted-by":"crossref","first-page":"2542","DOI":"10.1161\/CIRCULATIONAHA.113.000631","article-title":"Transcatheter aortic valve replacement for bioprosthetic aortic valve failure: the valve-in-valve procedure","volume":"127","author":"Webb","year":"2013","journal-title":"Circulation"},{"issue":"1","key":"10.1016\/j.jtcvs.2025.04.044_bib3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.echo.2008.11.029","article-title":"Echocardiographic assessment of valve stenosis: EAE\/ASE recommendations for clinical practice","volume":"22","author":"Baumgartner","year":"2009","journal-title":"J Am Soc Echocardiogr"},{"issue":"11","key":"10.1016\/j.jtcvs.2025.04.044_bib4","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.123.029310","article-title":"Reducing long-term mortality post transcatheter aortic valve replacement requires systemic differentiation of patient-specific coronary hemodynamics","volume":"12","author":"Khodaei","year":"2023","journal-title":"J Am Heart Assoc"},{"key":"10.1016\/j.jtcvs.2025.04.044_bib5","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.ijcard.2022.06.072","article-title":"Impact of residual transvalvular gradient on clinical outcomes following valve-in-valve transcatheter aortic valve replacement","volume":"366","author":"Alperi","year":"2022","journal-title":"Int J Cardiol"},{"issue":"3","key":"10.1016\/j.jtcvs.2025.04.044_bib6","doi-asserted-by":"crossref","DOI":"10.1016\/j.shj.2022.100155","article-title":"Structural valve deterioration in transcatheter aortic bioprostheses: diagnosis, pathogenesis, and treatment","volume":"7","author":"Patel","year":"2023","journal-title":"Struct Heart"},{"issue":"1","key":"10.1016\/j.jtcvs.2025.04.044_bib7","doi-asserted-by":"crossref","first-page":"3","DOI":"10.21037\/cdt.2018.01.06","article-title":"The role of echocardiography in transcatheter aortic valve implantation","volume":"8","author":"Onishi","year":"2018","journal-title":"Cardiovasc Diagn Ther"},{"key":"10.1016\/j.jtcvs.2025.04.044_bib8","doi-asserted-by":"crossref","DOI":"10.3389\/fcvm.2022.761917","article-title":"Patient prosthesis mismatch after SAVR and TAVR","volume":"9","author":"Bleiziffer","year":"2022","journal-title":"Front Cardiovasc Med"},{"issue":"1","key":"10.1016\/j.jtcvs.2025.04.044_bib9","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.athoracsur.2024.05.041","article-title":"Beyond static planning: computational predictive modeling to avoid coronary artery occlusion in TAVR","volume":"119","author":"Holst","year":"2025","journal-title":"Ann Thorac Surg"},{"key":"10.1016\/j.jtcvs.2025.04.044_bib10","article-title":"Modeling of valve-in-valve transcatheter aortic valve implantation after aortic root replacement using a 3-dimensional artificial intelligence algorithm","author":"Sirset-Becker","year":"2024","journal-title":"J Thorac Cardiovasc Surg"},{"key":"10.1016\/j.jtcvs.2025.04.044_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2020.105400","article-title":"Decision tree-based diagnosis of coronary artery disease: CART model","volume":"192","author":"Ghiasi","year":"2020","journal-title":"Comput Methods Programs Biomed"},{"issue":"5","key":"10.1016\/j.jtcvs.2025.04.044_bib12","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1007\/s00134-018-5159-z","article-title":"Preoperative right heart hemodynamics predict postoperative acute kidney injury after heart transplantation","volume":"44","author":"Guven","year":"2018","journal-title":"Intensive Care Med"},{"key":"10.1016\/j.jtcvs.2025.04.044_bib13","article-title":"Risk stratification for atrial fibrillation and outcomes in tachycardia-bradycardia syndrome: ablation vs. pacing","volume":"8","author":"Zhang","year":"2021","journal-title":"Front Cardiovasc Med"},{"key":"10.1016\/j.jtcvs.2025.04.044_bib14","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.xjtc.2023.11.011","article-title":"Predicting pressure gradient using artificial intelligence for transcatheter aortic valve replacement","volume":"23","author":"Dasi","year":"2023","journal-title":"JTCVS Tech"},{"issue":"3","key":"10.1016\/j.jtcvs.2025.04.044_bib15","doi-asserted-by":"crossref","first-page":"64","DOI":"10.3390\/bioengineering6030064","article-title":"Extraction of peak velocity profiles from Doppler echocardiography using image processing","volume":"6","author":"Taebi","year":"2019","journal-title":"Bioengineering (Basel)"},{"key":"10.1016\/j.jtcvs.2025.04.044_bib16","article-title":"Imaging time-series to improve classification and imputation","author":"Wang","year":"2015","journal-title":"arXiv.org"},{"key":"10.1016\/j.jtcvs.2025.04.044_bib17","author":"Heusel"},{"issue":"6","key":"10.1016\/j.jtcvs.2025.04.044_bib18","doi-asserted-by":"crossref","first-page":"1193","DOI":"10.1007\/s10554-024-03086-y","article-title":"Correlation between pressure gradient from echocardiography and peak-to-peak pressure gradient from cardiac catheterization or surgery in patients with coarctation of aorta","volume":"40","author":"Apithanung","year":"2024","journal-title":"Int J Cardiovasc Imaging"},{"key":"10.1016\/j.jtcvs.2025.04.044_bib19","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1007\/s10439-024-03640-8","article-title":"Active machine learning for pre-procedural prediction of time-varying boundary condition after Fontan procedure using generative adversarial networks","volume":"53","author":"Song","year":"2025","journal-title":"Ann Biomed Eng"},{"issue":"15","key":"10.1016\/j.jtcvs.2025.04.044_bib20","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.117.008440","article-title":"Incidence of long-term structural valve dysfunction and bioprosthetic valve failure after transcatheter aortic valve replacement","volume":"7","author":"Barbanti","year":"2018","journal-title":"J Am Heart Assoc"}],"container-title":["The Journal of Thoracic and Cardiovascular Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S002252232500385X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S002252232500385X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:32:47Z","timestamp":1783038767000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S002252232500385X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":20,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["S002252232500385X"],"URL":"https:\/\/doi.org\/10.1016\/j.jtcvs.2025.04.044","relation":{},"ISSN":["0022-5223"],"issn-type":[{"value":"0022-5223","type":"print"}],"subject":[],"published":{"date-parts":[[2025,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Machine learning methods to predict transvalvular gradient waveform post\u2013transcatheter aortic valve replacement using preprocedural echocardiogram","name":"articletitle","label":"Article Title"},{"value":"The Journal of Thoracic and Cardiovascular Surgery","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jtcvs.2025.04.044","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 by The American Association for Thoracic Surgery","name":"copyright","label":"Copyright"}]}}