JACC. Cardiovascular imaging最新文献

{"title":"Comparative Prognosis by Stress ECG and Stress Imaging","authors":"Leslee J. Shaw PhD ,&nbsp;Lawrence M. Phillips MD ,&nbsp;Jonathon Leipsic MD ,&nbsp;Samuel Broderick MS ,&nbsp;Jennifer H. Mieres MD ,&nbsp;Thomas H. Marwick MD ,&nbsp;Matthias G. Friedrich MD ,&nbsp;Todd Miller MD ,&nbsp;Renato D. Lopes MD ,&nbsp;Benjamin Chow MD ,&nbsp;Rodrigo Cerci MD ,&nbsp;Ron Blankstein MD ,&nbsp;Marcelo DiCarli MD ,&nbsp;David J. Maron MD ,&nbsp;Judith S. Hochman MD ,&nbsp;Karen P. Alexander MD ,&nbsp;Gregg W. Stone MD ,&nbsp;Sean O’Brien PhD ,&nbsp;Bernard R. Chaitman MD ,&nbsp;Raymond Y. Kwong MD ,&nbsp;Harmony R. Reynolds MD","doi":"10.1016/j.jcmg.2025.03.016","DOIUrl":"10.1016/j.jcmg.2025.03.016","url":null,"abstract":"<div><h3>Background</h3><div>Limited contemporary evidence exists on risk prediction by stress imaging and exercise electrocardiography<span> (ECG) among patients with chronic coronary syndromes (CCS). Objectives From the ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) study, prognosis was examined by core laboratory-defined stress imaging and exercise ECG findings in CCS patients.</span></div></div><div><h3>Methods</h3><div><span><span>A total of 5,179 patients (qualifying by stress nuclear imaging [n = 2,567], </span>echocardiography [n = 1,085], </span>cardiac magnetic resonance<span><span><span> [CMR] [n = 257], and ECG [n = 1,270]) were randomized. Cox models assessed associations between trial endpoints and the number of scarred and ischemic segments, rest/stress </span>left ventricular ejection fraction (LVEF), and ST-segment depression. HRs and 95% CIs were calculated per millimeter, segment, or 5% of LVEF. We examined prognostic models for the following trial endpoints: 1) the trial’s primary endpoint of cardiovascular (CV) death, myocardial infarction (MI), resuscitated cardiac arrest, or hospitalization for </span>unstable angina or heart failure; 2) CV death; 3) spontaneous MI; 4) procedural MI; and 5) type 2 MI.</span></div></div><div><h3>Results</h3><div>The number of scarred segments (HR: 1.07 [95% CI: 1.02-1.13]; <em>P =</em> 0.0209), rest LVEF (HR: 0.88 [95% CI: 0.83-0.93]; <em>P &lt;</em> 0.001), and stress LVEF (HR: 0.87 [95% CI: 0.83-0.91]; <em>P &lt;</em><span> 0.001) predicted the trial’s primary endpoint of CV death, MI, resuscitated cardiac arrest, or hospitalization for unstable angina or heart failure. The extent of scar and rest/stress LVEF on echocardiography and nuclear imaging predicted several trial endpoints. The number of ischemic segments predicted spontaneous (HR: 1.08 [95% CI: 1.03-1.14]; </span><em>P =</em> 0.0104) and procedural MI (HR: 1.14 [95% CI: 1.03-1.25]; <em>P =</em> 0.0015) but was of borderline significance for the trial’s primary endpoint (<em>P =</em><span> 0.0746). Ischemia extent by CMR predicted the trial’s primary endpoint (</span><em>P =</em> 0.0068) and spontaneous MI (<em>P =</em> 0.0042).</div></div><div><h3>Conclusions</h3><div>ISCHEMIA trial findings from 320 worldwide centers revealed that stress imaging and exercise ECG measures exhibited a variable association with key trial endpoints delineating risk patterns for ischemia and infarction. Stress CMR ischemia predicted several trial endpoints, supporting an expanded role in the evaluation of patients with CCS (ISCHEMIA [International Study of Comparative Health Effectiveness With Medical and Invasive Approaches]; <span><span>NCT01471522</span><svg><path></path></svg></span>)</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 9","pages":"Pages 943-955"},"PeriodicalIF":15.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144600432","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":"Prognostic Value of Myocardial T1 Mapping and Extracellular Volume Fraction in Heart Failure: A Meta-Analysis.","authors":"Huaying Zhang, Wenjing Yang, Di Zhou, Yining Wang, Leyi Zhu, Mengdi Jiang, Qiang Zhang, Arlene Sirajuddin, Andrew E Arai, Shihua Zhao, Minjie Lu","doi":"10.1016/j.jcmg.2025.06.017","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.06.017","url":null,"abstract":"<p><strong>Background: </strong>Heart failure (HF) is a global health burden. Myocardial fibrosis is a crucial promotor in HF progression which can be characterized noninvasively by cardiac magnetic resonance T1 mapping.</p><p><strong>Objectives: </strong>This study aims to systemically evaluate the prognostic value of myocardial T1 mapping and extracellular volume fraction (ECV) covering the entire spectrum of HF through a meta-analysis.</p><p><strong>Methods: </strong>We searched PubMed, Web of Science, and SCOPUS for studies examining the prognostic value of T1 mapping in HF with reduced and preserved ejection fraction. Baseline level, mean difference, and HRs were pooled for meta-analysis. Subgroup analyses were conducted according to HF subtypes and clinical characteristics.</p><p><strong>Results: </strong>Nineteen studies with 5,384 patients (56.2% male) were included in the analysis. Patients with adverse outcomes (mortality, HF-related event, or composite outcome) had higher native T1 and ECV values than those without (weighted mean difference: 41.17 ms and 4.73%, respectively). Both native T1 and ECV were positively associated with endpoints for the entire HF group (HR of 1% increase in ECV: 1.20 [95% CI: 1.13-1.28]; HR of >1% increase: 1.56 [95% CI: 1.40-1.75]; HR binary: 2.62 [95% CI: 2.07-3.32]; HR of 1-ms increase in native T1: 1.02 [95% CI: 1.01-1.03]; HR of ≥10-ms increase: 1.08 [95% CI: 1.05-1.11]; HR binary: 2.93 [95% CI: 2.03-4.23], all P < 0.05). For subgroup cohorts, native T1 had no significant prognostic value in HF with preserved ejection fraction (P > 0.05). Younger patients with HF with severe cardiac insufficiency (NYHA functional class III-IV), persistently increasing ECV, or negative late enhancement who exhibited abnormal T1 mapping were at higher risk of adverse outcomes.</p><p><strong>Conclusions: </strong>ECV has consistent prognostic implications across HF spectrum, regardless of HF types, clinical characteristics, and various etiology. Native T1 is less predictive than ECV, particularly in HF with preserved ejection fraction.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144954956","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":"Mechanical Wave Analysis at High Frame-Rate Echocardiography: Feasibility, Determinants, and Normal Ranges.","authors":"Eswar Sivaraj, Lasse Lovstakken, Raphaela Corney, Solveig Fadnes, Torvald Espeland, Kristoffer Andresen, Thomas H Marwick","doi":"10.1016/j.jcmg.2025.08.006","DOIUrl":"10.1016/j.jcmg.2025.08.006","url":null,"abstract":"<p><strong>Background: </strong>High-frame rate echocardiography can identify naturally occurring mechanical waves (MWs). As the velocity of MWs is related to tissue properties, this methodology could solve a fundamental shortcoming of echocardiography. However, to be useful clinically, there would need to be limited overlap between the normal range of MWs and measurements associated with pathology such as left ventricular dysfunction and ischemic heart disease.</p><p><strong>Objectives: </strong>This study aims to evaluate the feasibility, key determinants, and normal ranges of MWs in asymptomatic people and in patients with cardiac pathology.</p><p><strong>Methods: </strong>Asymptomatic participants were recruited from a community-based heart failure surveillance program. Clinical evaluation, 6-minute walk test, and echocardiography with specialized high-frame rate imaging were performed. MW signals from atrial kick (AK), aortic valve closure (AVC), and mitral valve closure (MVC) were acquired from parasternal long-axis (PLAX) and apical 4-chamber (A4C) windows. Measurements were averaged across 3 cycles using automated and manual methods, and outliers were removed (AVC >9 m/s, MVC >9 m/s, and AK >7 m/s). Participants were classified into normal and abnormal groups on the basis of echocardiographic and clinical parameters.</p><p><strong>Results: </strong>Of the 239 participants, manual measurement was feasible in 80% for AK, 77% for AVC, and 77% for MVC MWs in the PLAX view and in 91%, 85%, and 62% in the A4C view. Manual measurements were more feasible than automated measurements. Clinical and echocardiographic markers of hemodynamic status and cardiac function had little or no association with MW velocities. Poor agreement was noted between A4C and PLAX MVC signals, especially with high-velocity measurements. In 66 participants without overt CVD, MW velocities in the PLAX view for AVC, MVC, and AK were 3.91 ± 1.82 m/s, 3.58 ± 1.67 m/s, and 1.77 ± 1.10 m/s. In the A4C view, these were 4.09 ± 1.54 m/s, 5.63 ± 1.61 m/s, and 1.24 ± 0.38 m/s, respectively. These values were generally slightly higher in 103 asymptomatic people with subclinical dysfunction. Only AK measurements were significantly different between patients with normal and abnormal findings on echocardiography. There was little bias within and between observers, but limits of agreement were wide for all measures.</p><p><strong>Conclusions: </strong>MW measurement, especially AK, is a feasible adjunct to standard echocardiography. However, the normal ranges are wide, even among participants with otherwise normal studies. MW velocities do not seem to be abnormal in subclinical dysfunction.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144955004","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":"PRIME 2.0: Proposed Requirements for Cardiovascular Imaging-Related Multimodal-AI Evaluation: An Updated Checklist.","authors":"Nobuyuki Kagiyama, Márton Tokodi, Quincy A Hathaway, Rima Arnaout, Rhodri Davies, Damini Dey, Nicolas Duchateau, Alan G Fraser, Shinichi Goto, Ankush D Jamthikar, Carolyn S P Lam, Evangelos K Oikonomou, David Ouyang, Ambarish Pandey, Timothy J Poterucha, Zahra Raisi-Estabragh, Jordan B Strom, Qiang Zhang, Naveena Yanamala, Partho P Sengupta","doi":"10.1016/j.jcmg.2025.08.004","DOIUrl":"10.1016/j.jcmg.2025.08.004","url":null,"abstract":"<p><p>The PRIME (Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation) 2.0 checklist is an updated, domain-specific framework designed to standardize the development, evaluation, and reporting of artificial intelligence (AI) applications in cardiovascular imaging. This update specifically responds to rapid advances from traditional machine learning to deep learning, large language models, and multimodal generative AI. The updated checklist was developed through a modified Delphi process by an international panel of clinical and technical experts. In contrast to general AI reporting guidelines, it delivers detailed, practical recommendations on all critical aspects of AI research and builds upon the original 7-domain framework by incorporating cardiovascular imaging-specific complexities such as cardiac motion, imaging artifacts, and interobserver variability. By promoting transparency and rigor, PRIME 2.0 can serve as a vital resource for researchers, clinicians, peer reviewers, and journal editors working at the forefront of AI in cardiovascular imaging.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144954872","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":"Ascending Aortic Dimensions and Body Size: Allometric Scaling, Normative Values, and Prognostic Performance","authors":"Hamed Tavolinejad MD, Cameron Beeche BSc, Marie-Joe Dib PhD, Bianca Pourmussa BA, Scott M. Damrauer MD, John DePaolo MD PhD, Joe David Azzo MD, Oday Salman MD, Jeffrey Duda PhD, James Gee PhD, Seavmeiyin Kun BSc, Walter R. Witschey PhD, Penn Medicine BioBank, Daniel J. Rader M.D., Marylyn D. Ritchie Ph.D., JoEllen Weaver, Nawar Naseer Ph.D. M.P.H., Giorgio Sirugo M.D. P.h.D., Afiya Poindexter, Yi-An Ko Ph.D., Kyle P. Nerz, Meghan Livingstone, Fred Vadivieso, Stephanie DerOhannessian, Teo Tran, Julia Stephanowski, Salma Santos, Ned Haubein P.h.D., Joseph Dunn, Anurag Verma Ph.D., Colleen Morse Kripke M.S. DPT MSA, Marjorie Risman M.S., Renae Judy B.S., Colin Wollack M.S., Shefali S. Verma Ph.D., Scott Damrauer M.D., Yuki Bradford M.S., Scott Dudek M.S., Theodore Drivas M.D. Ph.D., Julio A. Chirinos MD PhD","doi":"10.1016/j.jcmg.2025.06.019","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.06.019","url":null,"abstract":"Ascending aortic (AscAo) dimensions partially depend on body size. Ratiometric (linear) indexing of AscAo dimensions to height and body surface area (BSA) are currently recommended, but it is unclear whether these allometric relationships are indeed linear.","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"12 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144899230","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":"Unrecognized Myocardial Fibrosis Detected by Contrast-Enhanced Cardiovascular MRI in Patients With Ischemic Stroke.","authors":"Simon Hellwig, Ana Catarina Fonseca, Thomas R Meinel, Santosh B Murthy, Annerose Mengel, Shadi Yaghi, Patrick Krumm, Eric D Goldstein, Helena Stengl, Ramanan Ganeshan, Regina von Rennenberg, Edyta Blaszczyk, Ana G Almeida, João Pedro Marto, Jonathan Schütze, Annina Selina Notz, Christoph Gräni, Jochen B Fiebach, Simon Greulich, Matthias Endres, Jeanette Schulz-Menger, Alexander E Merkler, Simon Jung, Christian H Nolte, Karl Georg Haeusler, Jan F Scheitz","doi":"10.1016/j.jcmg.2025.06.020","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.06.020","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144954953","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":"Comparison of Plaque Burden Assessment Between Coronary Artery Calcium Score and Segment Involvement Score.","authors":"Hidesato Fujito,Billy Lin,Heidi Gransar,Alan Rozanski,Damini Dey,Piotr Slomka,Sean W Hayes,John D Friedman,Daniel S Berman,Donghee Han","doi":"10.1016/j.jcmg.2025.07.010","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.07.010","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"15 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144930400","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":"Left Atrial Reservoir Strain Predicts Atrial Fibrillation in Hypertrophic Cardiomyopathy: Insights from the NHLBI HCM Registry.","authors":"Niklas Beyhoff, Owen P Agnel, Maximilian Fenski, Christina Botrous, Yi Jie Gifford Tan, Robert W Smillie, Zakariye Ashkir, Lucy E M Finnigan, Sarahfaye F Dolman, Paul Kolm, William S Weintraub, Raymond Y Kwong, Michael Jerosch-Herold, Milind Y Desai, Carolyn Y Ho, Patrice Desvigne-Nickens, John P DiMarco, Barbara Casadei, Hugh C Watkins, Christopher M Kramer, Stefan Neubauer, Betty Raman","doi":"10.1016/j.jcmg.2025.07.008","DOIUrl":"10.1016/j.jcmg.2025.07.008","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12434794/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144955006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the Future in Heart Failure.","authors":"Andrew J Taylor, Josephine Warren","doi":"10.1016/j.jcmg.2025.07.013","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.07.013","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144955072","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":"Aortic Size Matters: But Does It Help?","authors":"Nicholas S. Burris MD","doi":"10.1016/j.jcmg.2025.07.012","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.07.012","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"10 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144899259","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}