{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T11:48:31Z","timestamp":1785930511229,"version":"3.56.0"},"reference-count":11,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T00:00:00Z","timestamp":1785888000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T00:00:00Z","timestamp":1785888000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cathet Cardio Intervent"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Preprocedural planning with multislice computed tomography (MSCT) is an essential prerequisite for successful transcatheter aortic valve replacement (TAVR). However, preprocedural planning is time\u2010consuming and may contain clinically meaningful interobserver variability. Artificial intelligence (AI) based automated planning methods may provide anatomical MSCT measurements while reducing the time load required for the analysis. Previous studies on the validation of AI\u2010based TAVR planning methods excluded anatomical variants or lacked data on actual TAVR prosthesis size agreement. Mimics for TAVR (Materialise, Leuven, Belgium) is a new, AI\u2010driven TAVR planning platform based on patient\u2010specific 3D anatomical models and automated measurements through a web\u2010based user interface.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To validate the Mimics for TAVR planning tool in clinical practice.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Key planning assessments were performed on pre\u2010TAVR MSCT datasets using Mimics for TAVR and a commercially available semi\u2010automated software package. Agreement between the two planning methods was assessed using intraclass correlation coefficients and Bland\u2010Altman plots.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 126 consecutive patients (mean age 80 [74\u201385]; 56% male) who underwent MSCT as part of their TAVR work\u2010up were included. Mimics for TAVR derived measurements showcased high accuracy and excellent agreement for the area of the aortic annulus (mean error \u00b1 SD: \u22121.9\u2009\u00b1\u20093.3%, ICC: 0.976 [95% CI: 0.966\u20130.984]), left ventricular outflow (\u22122.7\u2009\u00b1\u20093.8%, ICC: 0.970 [0.957\u20100.983]), sinotubular junction (\u22122.6\u2009\u00b1\u20094.2%, ICC: 0.953 [0.921\u20130.971]), coronary heights (LCA \u22123.5\u2009\u00b1\u20094.8%, ICC: 0.900 (0.859\u20130.928). RCA \u22123.9\u2009\u00b1\u20094.7%, ICC: 0.928 [0.898\u20130.949]) and membranous septum length (\u22125.0\u2009\u00b1\u20099.2%, ICC: 0.919 [0.880\u20130.940]). Mimics for TAVR assessment significantly reduced the time required for pre\u2010TAVR analysis (1.03\u2009\u00b1\u20090.15\u2009min vs. 9.55\u2009\u00b1\u20093.16\u2009min per case, respectively (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.001).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The automated AI\u2010driven Mimics for TAVR planner is an accurate alternative to existing semiautomated TAVR planning platforms and may enhance overall workflow efficiency.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ccd.70785","type":"journal-article","created":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T11:34:32Z","timestamp":1785929672000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Validation of an Automated Artificial Intelligence\u2010Driven Planner for Transcatheter Aortic Valve Replacement"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2124-109X","authenticated-orcid":false,"given":"Mark M. P.","family":"van den Dorpel","sequence":"first","affiliation":[{"name":"Department of Cardiology, Cardiovascular Institute Thoraxcenter, Erasmus Medical Center Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1273-3612","authenticated-orcid":false,"given":"Lucas","family":"Uchoa de Assis","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Cardiovascular Institute Thoraxcenter, Erasmus Medical Center Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jenna","family":"van Niekerk","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Cardiovascular Institute Thoraxcenter, Erasmus Medical Center Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sophie","family":"Deckx","sequence":"additional","affiliation":[{"name":"Materialise Leuven Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew","family":"Sherman","sequence":"additional","affiliation":[{"name":"Materialise Leuven Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Janelle","family":"Schrot","sequence":"additional","affiliation":[{"name":"Materialise Leuven Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Kozak","sequence":"additional","affiliation":[{"name":"Materialise Leuven Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isabella","family":"Kardys","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Cardiovascular Institute Thoraxcenter, Erasmus Medical Center Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Hirsch","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Cardiovascular Institute Thoraxcenter, Erasmus Medical Center Rotterdam the Netherlands"},{"name":"Department of Radiology and Nuclear Medicine Erasmus Medical Center Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8628-1410","authenticated-orcid":false,"given":"Joost","family":"Daemen","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Cardiovascular Institute Thoraxcenter, Erasmus Medical Center Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rutger Jan","family":"Nuis","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Cardiovascular Institute Thoraxcenter, Erasmus Medical Center Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas M.","family":"Van Mieghem","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Cardiovascular Institute Thoraxcenter, Erasmus Medical Center Rotterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,5]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"crossref","DOI":"10.1155\/2020\/9843275","article-title":"Automatic Detection of the Aortic Annular Plane and Coronary Ostia From Multidetector Computed Tomography","volume":"2020","author":"Astudillo P.","year":"2020","journal-title":"Journal of Interventional Cardiology"},{"key":"e_1_2_9_3_1","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.107147","article-title":"A CT\u2010Based Deep Learning System for Automatic Assessment of Aortic Root Morphology for TAVI Planning","volume":"163","author":"Saitta S.","year":"2023","journal-title":"Computers in Biology and Medicine"},{"issue":"6","key":"e_1_2_9_4_1","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0199732","article-title":"Aortic Root Evaluation Prior to Transcatheter Aortic Valve Implantation\u2010Correlation of Manual and Semi\u2010Automatic Measurements","volume":"13","author":"Horehledova B.","year":"2018","journal-title":"PLoS One"},{"key":"e_1_2_9_5_1","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.carrev.2024.03.008","article-title":"A Fully Automated Artificial Intelligence\u2010Driven Software for Planning of Transcatheter Aortic Valve Replacement","volume":"65","author":"Toggweiler S.","year":"2024","journal-title":"Cardiovascular Revascularization Medicine"},{"issue":"20","key":"e_1_2_9_6_1","doi-asserted-by":"crossref","first-page":"3181","DOI":"10.3390\/diagnostics13203181","article-title":"TAVI\u2010PREP: A Deep Learning\u2010Based Tool for Automated Measurements Extraction in TAVI Planning","volume":"13","author":"Santalo\u2010Corcoy M.","year":"2023","journal-title":"Diagnostics"},{"key":"e_1_2_9_7_1","doi-asserted-by":"crossref","first-page":"B36","DOI":"10.1093\/eurheartjsupp\/suac005","article-title":"Fully Automated Measurement of Aortic Root Anatomy Using Philips Heartnavigator Computed Tomography Software: Fast, Accurate, or Both?","volume":"24","author":"Ko\u010dka V.","year":"2022","journal-title":"European Heart Journal Supplements"},{"key":"e_1_2_9_8_1","doi-asserted-by":"crossref","DOI":"10.1016\/j.ebiom.2023.104794","article-title":"Development and Validation of a Deep Learning\u2010Based Fully Automated Algorithm for Pre\u2010Tavr Ct Assessment of the Aortic Valvular Complex and Detection of Anatomical Risk Factors: A Retrospective, Multicentre Study","volume":"96","author":"Wang M.","year":"2023","journal-title":"EBioMedicine"},{"issue":"1","key":"e_1_2_9_9_1","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-67111-5","article-title":"Reliability and Influence on Decision Making of Fully\u2010Automated Vs. Semi\u2010Automated Software Packages for Procedural Planning in TAVI","volume":"10","author":"Meyer A.","year":"2020","journal-title":"Scientific Reports"},{"issue":"3","key":"e_1_2_9_10_1","doi-asserted-by":"crossref","DOI":"10.1016\/j.jscai.2023.101289","article-title":"Validation Study of Two Artificial Intelligence\u2010Based Preplanning Methods for Transcatheter Aortic Valve Replacement Procedures","volume":"3","author":"Corbin D.","year":"2024","journal-title":"Journal of the Society for Cardiovascular Angiography & Interventions"},{"issue":"1","key":"e_1_2_9_11_1","first-page":"1","article-title":"Computed Tomography Imaging in the Context of Transcatheter Aortic Valve Implantation (TAVI)\/Transcatheter Aortic Valve Replacement (TAVR)","volume":"12","author":"Blanke P.","year":"2019","journal-title":"JACC: Cardiovascular Imaging"},{"key":"e_1_2_9_12_1","doi-asserted-by":"crossref","DOI":"10.1016\/j.shj.2024.100339","article-title":"Predicting Treatment of Bioprosthetic Aortic Valve Failure in the United States: A Proposed Model","volume":"9","author":"G\u00e9n\u00e9reux P.","year":"2024","journal-title":"Structural Heart"}],"container-title":["Catheterization and Cardiovascular Interventions"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/ccd.70785","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/ccd.70785","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/ccd.70785","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T11:34:34Z","timestamp":1785929674000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/ccd.70785"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,5]]},"references-count":11,"alternative-id":["10.1002\/ccd.70785"],"URL":"https:\/\/doi.org\/10.1002\/ccd.70785","archive":["Portico"],"relation":{},"ISSN":["1522-1946","1522-726X"],"issn-type":[{"value":"1522-1946","type":"print"},{"value":"1522-726X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,5]]},"assertion":[{"value":"2026-01-28","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-07-25","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-08-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"ccd.70785"}}