Deep learning-based prediction of right ventricular ejection fraction using 2D echocardiograms

https://m2.mtmt.hu/ eng 2026-05-25 16:45 JournalArticle 33681603 ADMIN_APPROVED true 0 false 2026-05-22T19:23:22.291+0000 2025-03-06T21:50:19.612+0000 2023-03-05T09:13:24.837+0000 true 10062250 Molnár-Taga Márta /api/admin/10062250 Admin Márta Molnár-Taga (SE 4-es admin) true 10062250 5388721 2026-02-05T07:32:38.045+0000 2026-02-11T14:36:34.395+0000 Admin 10062250 /api/admin/10062250 Márta Molnár-Taga (SE 4-es admin) Molnár-Taga Márta true 10062250 true 2026-02-11T14:36:34.395+0000 2024-02-27T10:07:43.858+0000 true 10065569 Pécsi Éva /api/admin/10065569 Admin Éva Pécsi (MTMT Közp 2,3, admin) true Admin 10065569 /api/admin/10065569 Éva Pécsi (MTMT Közp 2,3, admin) Pécsi Éva true true 2024-02-27T13:43:09.077+0000 true false true 24 24 /api/publicationtype/24 PublicationType Journal Article 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Journal Article 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Article (Journal Article) 101 true 10000059 true 1 /api/category/1 Category Scientific true 1 Tokodi, M Deep learning-based prediction of right ventricular ejection fraction using 2D echocardiograms true true /api/journal/10015811 REVIEWED JACC-CARDIOVASCULAR IMAGING 1936-878X 1876-7591 true false 10015811 false 10015811 true 1936-878X 1876-7591 Journal FOREIGN 16 8 1005 1018 1005 14 2023 BACKGROUND Evidence has shown the independent prognostic value of right ventricular (RV) function, even in patients with left-sided heart disease. The most widely used imaging technique to measure RV function is echocardiography; however, conventional 2-dimensional (2D) echocardiographic assessment is unable to leverage the same clinical information that 3-dimensional (3D) echocardiography-derived right ventricular ejection fraction (RVEF) can provide. OBJECTIVES The authors aimed to implement a deep learning (DL)-based tool to estimate RVEF from 2D echocardiographic videos. In addition, they benchmarked the tool's performance against human expert reading and evaluated the prognostic power of the predicted RVEF values. METHODS The authors retrospectively identified 831 patients with RVEF measured by 3D echocardiography. All 2D apical 4-chamber view echocardiographic videos of these patients were retrieved (n = 3,583), and each subject was assigned to either the training or the internal validation set (80:20 ratio). Using the videos, several spatiotemporal convolutional neural networks were trained to predict RVEF. The 3 best-performing networks were combined into an ensemble model, which was further evaluated in an external data set containing 1,493 videos of 365 patients with a median follow-up time of 1.9 years. RESULTS The ensemble model predicted RVEF with a mean absolute error of 4.57 percentage points in the internal and 5.54 percentage points in the external validation set. In the latter, the model identified RV dysfunction (defined as RVEF <45%) with an accuracy of 78.4%, which was comparable to an expert reader's visual assessment (77.0%; P = 0.678). The DL-predicted RVEF values were associated with major adverse cardiac events independent of age, sex, and left ventricular systolic function (HR: 0.924 [95% CI: 0.862-0.990]; P = 0.025). CONCLUSIONS Using 2D echocardiographic videos alone, the proposed DL-based tool can accurately assess RV function, with similar diagnostic and prognostic power as 3D imaging. (J Am Coll Cardiol Img 2023;16:1005-1018)(c) 2023 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Funding 2024223 /api/funding/2024223 (2020-4.1.1.-TKP2020) false true Funding 2024224 /api/funding/2024224 (Therapeutic Development and Bioimaging thematic programmes of the Semmelweis University) false true Funding 2024225 /api/funding/2024225 (FK 142573) Funder: NRDIO false true Funding 2024226 /api/funding/2024226 (RRF-2.3.1-21-2022-00004) false true true true 2023 true true true false true false NONE 2026-05-22 false 61 0 60 45 15 61 60 50 54 55 55 40 40 46 15 0 61 46 60 45 0 4 4 Folyóiratcikk Journal Article 24 59 Könyvrészlet Chapter in Book 25 1 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 1 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2023 0 8 6 8 6 2024 0 14 13 14 13 2025 0 29 21 29 21 2026 0 10 6 10 6 D1 false 10035614,10064500 false false false 2023-06-03T08:26:05.443+0000 Kardiológia Központ - Kardiológiai Tanszék (SE / AOK / K); Sportorvostan Tanszék (SE / AOK / K); Városmajori Szív- és Érgyógyászati Klinika (SE / AOK / K) 8 41 3 13 0 true 10065569 Language 10002 /api/language/10002 English Angol English true 2 true PersonAuthorship 106921783 /api/authorship/106921783 Tokodi, M ✉ [Tokodi, Márton (kardiológia, echo...), author] Cardiovascular Center (SU / FM / C); Department of Cardiology – Heart and Vascular C... (SU / FM / C) 1 0.077 true false true Author 10064500 /api/author/10064500 Márton Tokodi (kardiológia, echocardiographia) Tokodi Márton true 10064500 true Tokodi M true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921784 /api/authorship/106921784 Magyar, B* [Magyar, Bálint (Informatika), author] 2 0.07692308 true false Author 10074259 /api/author/10074259 Bálint Magyar (Informatika) Magyar Bálint true true Magyar B true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921785 /api/authorship/106921785 Soós, A 3 0.07692308 false false Soós A true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921786 /api/authorship/106921786 Takeuchi, M 4 0.07692308 false false Takeuchi M true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921787 /api/authorship/106921787 Tolvaj, M [Tolvaj, Máté (Kardiológia, Echo...), author] Cardiovascular Center (SU / FM / C) 5 0.07692308 false false Author 10080383 /api/author/10080383 Máté Tolvaj (Kardiológia, Echokardiográfia) Tolvaj Máté true true Tolvaj M true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921788 /api/authorship/106921788 Lakatos, BK [Lakatos, Bálint (orvostudományok, ...), author] Cardiovascular Center (SU / FM / C); Department of Cardiology – Heart and Vascular C... (SU / FM / C) 6 0.077 false false Author 10057511 /api/author/10057511 Bálint Lakatos (orvostudományok, kardiológia) Lakatos Bálint true 10057511 true Lakatos BK true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921789 /api/authorship/106921789 Kitano, T 7 0.07692308 false false Kitano T true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921790 /api/authorship/106921790 Nabeshima, Y 8 0.07692308 false false Nabeshima Y true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921791 /api/authorship/106921791 Fábián, A [Fábián, Alexandra (kardiológia), author] Cardiovascular Center (SU / FM / C); Department of Cardiology – Heart and Vascular C... (SU / FM / C) 9 0.077 false false Author 10073175 /api/author/10073175 Alexandra Fábián (kardiológia) Fábián Alexandra true true Fábián A true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921792 /api/authorship/106921792 Szigeti, MB 10 0.07692308 false false Szigeti MB true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921793 /api/authorship/106921793 Horváth, A** [Horváth, András (mérnöki tudományok), author] 11 0.07692308 false true Author 10029872 /api/author/10029872 András Horváth (mérnöki tudományok) Horváth András true 10029872 true Horváth A true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921794 /api/authorship/106921794 Merkely, B** [Merkely, Béla Péter (Kardiológia), author] Cardiovascular Center (SU / FM / C); Department of Cardiology – Heart and Vascular C... (SU / FM / C); Faculty of Sports Medicine (SU / FM / C) 12 0.077 false true Author 10002691 /api/author/10002691 Béla Péter Merkely (Kardiológia) Merkely Béla Péter true 10002691 true Merkely B true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 106921795 /api/authorship/106921795 Kovács, A ✉ [Kovács, Attila (kardiológia, spor...), author] Cardiovascular Center (SU / FM / C); Department of Cardiology – Heart and Vascular C... (SU / FM / C); Faculty of Sports Medicine (SU / FM / C) 13 0.077 false true true Author 10035614 /api/author/10035614 Attila Kovács (kardiológia, sportkardiológia) Kovács Attila true 10035614 true Kovács A true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PublicationIdentifier 23859123 /api/publicationidentifier/23859123 DOI: 10.1016/j.jcmg.2023.02.017 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1016/j.jcmg.2023.02.017 https://doi.org/10.1016/j.jcmg.2023.02.017 false true PublicationIdentifier 25203201 /api/publicationidentifier/25203201 WoS: 001080545500001 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001080545500001 https://www.webofscience.com/wos/woscc/full-record/001080545500001 true true PublicationIdentifier 24196561 /api/publicationidentifier/24196561 Scopus: 85164623551 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85164623551 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85164623551 false true PublicationIdentifier 23859124 /api/publicationidentifier/23859124 PubMed: 37178072 PlainSource 17 /api/publicationsource/17 PubMed PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true PubMed PubMed http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=@@@&dopt=Abstract true true 17 true IDENTICAL 37178072 http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=37178072&dopt=Abstract false true PublicationIdentifier 31414250 /api/publicationidentifier/31414250 Other URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164623551&doi=10.1016%2Fj.jcmg.2023.02.017&partnerID=40&md5=14f86510d5999b1093c6106589d17035 PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true NONE IDENTICAL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164623551&doi=10.1016%2Fj.jcmg.2023.02.017&partnerID=40&md5=14f86510d5999b1093c6106589d17035 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164623551&doi=10.1016%2Fj.jcmg.2023.02.017&partnerID=40&md5=14f86510d5999b1093c6106589d17035 false true SjrRating 11412325 /api/sjrrating/11412325 sjr:D1 (2023) Scopus - Radiology, Nuclear Medicine and Imaging JACC-CARDIOVASCULAR IMAGING 1936-878X 1876-7591 1 0.0 journal RatingType 10002 /api/ratingtype/10002 sjr sjr true true ClassificationExternal 2741 /api/classificationexternal/2741 Scopus - Radiology, Nuclear Medicine and Imaging true 2741 true D1 DIRECT true true /api/publication/33681603 Tokodi M et al. Deep learning-based prediction of right ventricular ejection fraction using 2D echocardiograms. (2023) JACC-CARDIOVASCULAR IMAGING 1936-878X 1876-7591 16 8 1005-1018<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <a href="/gui2/?type=authors&mode=browse&sel=10064500" target="_blank">Tokodi M ✉ (Tokodi Márton kardiológia, echocardiographia) </a> SU/FM/C/Cardiovascular Center; SU/FM/C/Cardiovascular Center/Department of Cardiology – Heart and Vascular Center ;    <a href="/gui2/?type=authors&mode=browse&sel=10074259" target="_blank">Magyar B* (Magyar Bálint Informatika) </a> ;    Soós A ;    Takeuchi M ;    <a href="/gui2/?type=authors&mode=browse&sel=10080383" target="_blank">Tolvaj M (Tolvaj Máté Kardiológia, Echokardiográfia) </a> SU/FM/C/Cardiovascular Center ;    <a href="/gui2/?type=authors&mode=browse&sel=10057511" target="_blank">Lakatos BK (Lakatos Bálint orvostudományok, kardiológia) </a> SU/FM/C/Cardiovascular Center; SU/FM/C/Cardiovascular Center/Department of Cardiology – Heart and Vascular Center ;    Kitano T ;    Nabeshima Y ;    <a href="/gui2/?type=authors&mode=browse&sel=10073175" target="_blank">Fábián A (Fábián Alexandra kardiológia) </a> SU/FM/C/Cardiovascular Center; SU/FM/C/Cardiovascular Center/Department of Cardiology – Heart and Vascular Center ;    Szigeti MB ;    <a href="/gui2/?type=authors&mode=browse&sel=10029872" target="_blank">Horváth A** (Horváth András mérnöki tudományok) </a> ;    <a href="/gui2/?type=authors&mode=browse&sel=10002691" target="_blank">Merkely B** (Merkely Béla Péter Kardiológia) </a> SU/FM/C/Cardiovascular Center; SU/FM/C/Cardiovascular Center/Department of Cardiology – Heart and Vascular Center; SU/FM/C/Cardiovascular Center/Faculty of Sports Medicine ;    <a href="/gui2/?type=authors&mode=browse&sel=10035614" target="_blank">Kovács A ✉ (Kovács Attila kardiológia, sportkardiológia) </a> SU/FM/C/Cardiovascular Center; SU/FM/C/Cardiovascular Center/Department of Cardiology – Heart and Vascular Center; SU/FM/C/Cardiovascular Center/Faculty of Sports Medicine </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;33681603" target="_blank">Deep learning-based prediction of right ventricular ejection fraction using 2D echocardiograms</a></div> <div> JACC-CARDIOVASCULAR IMAGING (<a target="_blank" href="https://portal.issn.org/resource/ISSN/1936-878X">1936-878X</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1876-7591">1876-7591</a>): 16 8 pp 1005-1018 (2023) </div> <div class="pub-footer"> Language: English | <a style="color:blue" title="10.1016/j.jcmg.2023.02.017" target="_blank" href="https://doi.org/10.1016/j.jcmg.2023.02.017"> DOI </a> <a style="color:blue" title="001080545500001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001080545500001"> WoS </a> <a style="color:blue" title="85164623551" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85164623551"> Scopus </a> <a style="color:blue" title="37178072" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=37178072&dopt=Abstract"> PubMed </a> <a style="color:blue" title="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164623551&doi=10.1016%2Fj.jcmg.2023.02.017&partnerID=40&md5=14f86510d5999b1093c6106589d17035" target="_blank" href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164623551&doi=10.1016%2Fj.jcmg.2023.02.017&partnerID=40&md5=14f86510d5999b1093c6106589d17035"> Other URL </a> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Journal subject: Scopus - Cardiology and Cardiovascular Medicine   Rank: D1</div> <div class="journal-subject">Journal subject: Scopus - Radiology, Nuclear Medicine and Imaging   Rank: D1</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> Citing papers: 61 | Independent citation: 46 | Self citation: 15 | Unknown citation: 0 | Number of citations in WoS: 50 | Number of citations in Scopus: 54 | WoS/Scopus assigned: 55 | Number of citations with DOI: 60 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;33681603&sort=publishedYear,desc&sort=title"> Number of cited publications: 4 </a> </div> <div class="mtid">Publication: 33681603 | Admin approved Core Citing | Journal Article ( Article ) | Scientific | kézi felvitel </div> <div class="funder"> Tématerületi Kiválósági Program(2020-4.1.1.-TKP2020), (Therapeutic Development and Bioimaging thematic programmes of the Semmelweis University), (FK 142573) Funder: NRDIO, MILAB(RRF-2.3.1-21-2022-00004) Funder: NRDIO </div> <div class="notDuplums"><a target="_blank" href="/api/publication/33681603/notduplums">1 marked as not duplum</a> </div> <div class="lastModified">Last Modified: 2025.03.06. 22:50 András Horváth (mérnöki tudományok) </div> <div class="lockedBy">Centrally managed 2024.02.27. 14:43 Éva Pécsi (MTMT Közp 2,3, admin) </div> </div></div>