Mostafa A Al-Alusi,Emily S Lau,Aeron M Small,Christopher Reeder,Tal Shnitzer,Carl T Andrews,Shinwan Kany,Joel T Rämö,Julian S Haimovich,Shaan Khurshid,Danita Y Sanborn,Michael H Picard,Jennifer E Ho,Mahnaz Maddah,Patrick T Ellinor
{"title":"A Deep Learning Model to Identify Mitral Valve Prolapse From the Echocardiogram.","authors":"Mostafa A Al-Alusi,Emily S Lau,Aeron M Small,Christopher Reeder,Tal Shnitzer,Carl T Andrews,Shinwan Kany,Joel T Rämö,Julian S Haimovich,Shaan Khurshid,Danita Y Sanborn,Michael H Picard,Jennifer E Ho,Mahnaz Maddah,Patrick T Ellinor","doi":"10.1016/j.jcmg.2025.08.011","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.08.011","url":null,"abstract":"BACKGROUNDMitral valve prolapse (MVP) has a prevalence of 2% to 3% and increases risk of heart failure and sudden death, but diagnosis by transthoracic echocardiography requires time and expertise.OBJECTIVESThis study aims to develop a deep learning model DROID-MVP (Dimensional Reconstruction of Imaging Data-Mitral Valve Prolapse) to classify MVP from digital echocardiogram videos.METHODSDROID-MVP was trained and validated using 1,043,893 echocardiogram videos (48,829 studies) from 16,902 cardiology patients at MGH (Massachusetts General Hospital), and externally validated in 8,888 MGH primary care patients and 257 primary care patients at BWH (Brigham and Women's Hospital). The authors tested associations among DROID-MVP predictions (range: 0-1), mitral regurgitation (MR) severity, and mitral valve repair or replacement (MVR).RESULTSOf 16,902 patients (6,391 [38%] women; age 61 ± 16 years) in the derivation sample, 783 (4.6%) had MVP. DROID-MVP accurately identified MVP across the MGH cardiology internal validation set (area under the receiver-operating characteristic curve [AUROC]: 0.947 [95% CI: 0.910-0.984]; average precision [AP]: 0.682 [95% CI: 0.565-0.784]; prevalence: 0.036), MGH primary care external validation set (AUROC: 0.964 [95% CI: 0.951-0.977]; AP: 0.651 [95% CI: 0.578-0.716]; prevalence: 0.022), and BWH primary care external validation set (AUROC: 0.968 [95% CI: 0.946-0.989]; AP: 0.774 [95% CI: 0.666-0.797]; prevalence: 0.113). A high (>0.67) vs low (<0.33) DROID-MVP score was associated with moderate or severe MR (adjusted OR: 2.0 [95% CI: 1.1-3.8]; P = 0.030) and future MVR (adjusted HR: 3.7 [95% CI: 1.5-8.9]; P = 0.004).CONCLUSIONSA deep learning model identifies MVP from echocardiogram videos, and model predictions are associated with clinical endpoints including MR and future MVR. Deep learning can automate MVP diagnosis and potentially generate digital markers of clinically significant MVP.","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"7 4 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christoph Ryffel,Andreas A Giannopoulos,Aju P Pazhenkottil,Philipp A Kaufmann,Ronny R Buechel,Dominik C Benz
{"title":"Variations of Severely Reduced Myocardial Flow Reserve in PET Myocardial Perfusion Imaging.","authors":"Christoph Ryffel,Andreas A Giannopoulos,Aju P Pazhenkottil,Philipp A Kaufmann,Ronny R Buechel,Dominik C Benz","doi":"10.1016/j.jcmg.2025.08.013","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.08.013","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"1 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephen J Hankinson,Akshay S Desai,Garrick C Stewart,Neal K Lakdawala,Michael M Givertz,Usha B Tedrow,William H Sauer,Ron Blankstein,Marcelo F Di Carli,Sanjay Divakaran
{"title":"Patterns of Nonspecific Myocardial FDG Uptake in Patients Without Sarcoidosis With Normal CMR.","authors":"Stephen J Hankinson,Akshay S Desai,Garrick C Stewart,Neal K Lakdawala,Michael M Givertz,Usha B Tedrow,William H Sauer,Ron Blankstein,Marcelo F Di Carli,Sanjay Divakaran","doi":"10.1016/j.jcmg.2025.09.005","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.09.005","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"6 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Atrial Functional Mitral Regurgitation: Small Volumes, Big Consequences.","authors":"Robert A Levine,Jacob P Dal-Bianco,Yutaka Otsuji","doi":"10.1016/j.jcmg.2025.08.018","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.08.018","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"37 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David Messika-Zeitoun,Pascal Theriault-Lauzier,Ian G Burwash
{"title":"Diagnosis of Mitral Valve Prolapse Using Artificial Intelligence: Is it Ready for Primetime?","authors":"David Messika-Zeitoun,Pascal Theriault-Lauzier,Ian G Burwash","doi":"10.1016/j.jcmg.2025.09.002","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.09.002","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"102 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rafail A Kotronias,Leonardo Portolan,Cheng Xie,Vanessa M Ferreira,Betty Raman,Ernst Klotz,Giovanni L De Maria,Ron Blankstein,Keith M Channon,Stefan Neubauer,Charalambos Antoniades
{"title":"Evaluating Acute Ischemic Myocardial Injury With Photon-Counting Computed Tomography.","authors":"Rafail A Kotronias,Leonardo Portolan,Cheng Xie,Vanessa M Ferreira,Betty Raman,Ernst Klotz,Giovanni L De Maria,Ron Blankstein,Keith M Channon,Stefan Neubauer,Charalambos Antoniades","doi":"10.1016/j.jcmg.2025.08.016","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.08.016","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"2 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Osnat Itzhaki Ben Zadok,Stephen J Hankinson,Ashraf Hamdan,Sylvain L Carre,Yee-Ping Sun,Rhanderson N Cardoso,Tzlil Grinberg,Pinak B Shah,Anju Nohria,Sanjay Divakaran
{"title":"The Predictive Accuracy of Aortic Valve Calcium Score in Mediastinal Radiation Therapy Survivors.","authors":"Osnat Itzhaki Ben Zadok,Stephen J Hankinson,Ashraf Hamdan,Sylvain L Carre,Yee-Ping Sun,Rhanderson N Cardoso,Tzlil Grinberg,Pinak B Shah,Anju Nohria,Sanjay Divakaran","doi":"10.1016/j.jcmg.2025.08.014","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.08.014","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"27 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145134074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}