JACC. Cardiovascular imaging最新文献

{"title":"Left Ventricular Tissue Characterization by Cardiac Magnetic Resonance and Diastolic Dysfunction in HFpEF.","authors":"Yogesh N V Reddy, Varun Sundaram","doi":"10.1016/j.jcmg.2026.07.006","DOIUrl":"https://doi.org/10.1016/j.jcmg.2026.07.006","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":19.0,"publicationDate":"2026-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149008582","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":"Cardiometabolic Biomarkers and Low-Attenuation Plaque Progression in Stable Coronary Artery Disease: A Secondary Analysis of the HEARTS Trial.","authors":"Sahil Ghay, Ralph Daher, Tarec K Elajami, Francine K Welty","doi":"10.1016/j.jcmg.2026.08.006","DOIUrl":"10.1016/j.jcmg.2026.08.006","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":19.0,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148865017","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":"Incremental Predictive Value of Deep Learning-Quantified Coronary Atherosclerotic Volume: A SCAPIS Cohort Analysis.","authors":"Johan Malmqvist, Chunliang Wang, Göran Bergström, Gunnar Engström, Emil Hagström, Jakub Juszczyk, Rozh Kader, Stefan Söderberg, Carl Johan Östgren, Christian Reitan, Tomas Jernberg","doi":"10.1016/j.jcmg.2026.08.004","DOIUrl":"https://doi.org/10.1016/j.jcmg.2026.08.004","url":null,"abstract":"<p><strong>Background: </strong>Coronary plaque volume assessed by coronary computed tomography angiography (CTA) may refine risk assessment beyond established risk models.</p><p><strong>Objectives: </strong>This study aims to evaluate whether deep learning-derived coronary plaque volume from coronary CTA improves prediction beyond established risk models and imaging markers in a general population.</p><p><strong>Methods: </strong>Participants were randomly selected men and women 50-64 years of age from a population-based cohort, without prior atherosclerotic cardiovascular disease, with available SCORE2 (Systematic Coronary Risk Evaluation 2) data and coronary CTAs of acceptable quality. Total plaque volume (TPV) and noncalcified plaque volume (NCPV) were quantified using automated deep learning software and stratified into 6 categories. Participants were followed for coronary heart disease death or myocardial infarction over a median of 7.8 years.</p><p><strong>Results: </strong>Among 23,314 participants, 287 coronary events occurred. Risk of events increased stepwise with increasing TPV and NCPV, including among participants with coronary artery calcium score = 0 and in those without manually detected atherosclerosis. In Cox regression analyses, adding TPV to a model including SCORE2 and segment involvement score significantly improved model performance (C-statistic: 0.798 vs 0.783; P = 0.022) and net reclassification index (0.093; 95% CI: 0.041-0.146). HRs increased with higher TPV categories, reaching 6.36 (95% CI: 3.00-13.52) in the highest category. Adding presence of stenosis ≥50% or any segment with only noncalcified plaque did not materially improve the C-statistic. Replacing TPV with NCPV yielded similar results.</p><p><strong>Conclusions: </strong>Automated deep learning-quantified TPV improved prediction of first coronary events beyond SCORE2, coronary artery calcium score, and manually derived coronary CTA measurements, and identified even small plaque volumes associated with increased risk in a general population without established atherosclerotic cardiovascular disease.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":19.0,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148840315","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":"Stress Perfusion CMR to Prognosticate for Left Main and High Risk Multivessel Coronary Artery Disease and Major Cardiovascular Adverse Events: Outcomes From a 4,144-Patient Multicenter Cohort.","authors":"Benedikt Bernhard, Marianna Daibes, Isabela Reis Marques, Natalia Sanchez Santiuste, Yin Ge, Panagiotis Antiochos, Bobak Heydari, Kevin E Steel, Scott Bingham, J Ronald Mikolich, Andrew E Arai, W Patricia Bandettini, Amit R Patel, Hena Patel, Sujata M Shanbhag, Afshin Farzaneh-Far, John F Heitner, Chetan Shenoy, Steve W Leung, Jorge A Gonzalez, Subha V Raman, Victor A Ferrari, Dipan J Shah, Akila Bersali, Jeanette Schulz-Menger, Matthias Stuber, Orlando P Simonetti, Raymond Y Kwong","doi":"10.1016/j.jcmg.2026.06.010","DOIUrl":"https://doi.org/10.1016/j.jcmg.2026.06.010","url":null,"abstract":"<p><strong>Background: </strong>Left main (LM) and multivessel coronary disease (MVD) are high-risk conditions in which surgical revascularization may be preferred over medical or percutaneous therapies, yet may be missed by conventional imaging. Vasodilator stress perfusion cardiac magnetic resonance (CMR) appeared promising in resolving endocardial ischemia, but large multicenter data are lacking.</p><p><strong>Objectives: </strong>This study aims to assess whether stress perfusion CMR reliably rules out LM/MVD and predicts adverse cardiac outcomes.</p><p><strong>Methods: </strong>Consecutive patients from the expanded cohort of the 13-center SPINS (Stress CMR Perfusion Imaging in the United States Study) were included. Study outcomes were composites of angiographic new diagnosis of LM disease (>50% stenosis), high-risk MVD (significant 3-vessel disease or MVD treated with surgical revascularization), acute nonfatal myocardial infarction (MI), and cardiovascular death.</p><p><strong>Results: </strong>Among 4,144 patients (60.5 ± 13.1 years of age, 54.3% male), ischemia and prior infarct were present in 760 (18.3%) and 1,128 (27.2%) patients, respectively. During 4-year follow-up, 336 (8.1%) patients experienced the primary composite outcome, including 182 (4.4%) new diagnoses of LM/MVD, 96 (2.3%) acute MI, and 58 (1.4%) cardiovascular deaths. The presence of ischemia was the strongest multivariable predictor of the composite outcome (HR_adjusted: 4.55; 95% CI: 3.32-6.25; P < 0.001) and for the combination of acute MI and cardiovascular death (HR_adjusted: 4.31; 95% CI: 3.08-6.05; P < 0.001), adjusted for clinical risk factors and late gadolinium enhancement. The presence of abnormal stress perfusion portended a 10-fold increase in the annualized primary event rate compared with those without ischemia (10.6% vs 0.9%), whereas annual event rates were 0.9% vs 0.08% for LM disease, and 5.6% vs 0.3% for high-risk MVD, respectively.</p><p><strong>Conclusions: </strong>The absence of ischemia on vasodilator stress perfusion CMR was associated with a very low likelihood of angiographically verified high-risk coronary artery disease and its associated events.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":19.0,"publicationDate":"2026-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148793391","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":"Full issue PDF","authors":"","doi":"10.1016/S1936-878X(26)00344-X","DOIUrl":"10.1016/S1936-878X(26)00344-X","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 8","pages":"Pages I-CXXIII"},"PeriodicalIF":19.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148660913","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":"Measure Simply, Stratify Better","authors":"Bettina Heidecker MD,&nbsp;Sebastian Kelle MD","doi":"10.1016/j.jcmg.2026.05.016","DOIUrl":"10.1016/j.jcmg.2026.05.016","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 8","pages":"Pages 951-954"},"PeriodicalIF":19.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148342364","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":"Proposed Standardized Nomenclature for Anomalous Aortic Origin of a Coronary Artery","authors":"Carlos M. Mery MD, MPH,&nbsp;Meena Nathan MD, MPH,&nbsp;Christoph Gräni MD, PhD,&nbsp;Rajesh Krishnamurthy MD,&nbsp;Cristina Basso MD, PhD,&nbsp;Marshall L. Jacobs MD,&nbsp;Julie A. Brothers MD,&nbsp;Massimo A. Padalino MD, PhD,&nbsp;Silvana Molossi MD, PhD","doi":"10.1016/j.jcmg.2026.02.005","DOIUrl":"10.1016/j.jcmg.2026.02.005","url":null,"abstract":"<div><div>Increasing use of advanced noninvasive imaging has provided great anatomic and morphologic details to characterize congenital coronary artery anomalies. Anomalous aortic origin of a coronary artery (AAOCA) is a subtype that may lead to myocardial ischemia with variable clinical manifestations across the lifespan. Management decision making in AAOCA is hindered by anatomic variants of differing physiologic consequences. Several systems of nomenclature have been used that lack uniformity in potentially high-risk morphologic features. The ICAAC (International Coronary Artery Anomalies Collaborative), a group of experts in coronary artery anomalies, proposes a standardized nomenclature to describe anatomy and morphologic features of AAOCA using the Delphi methodology. This system is agnostic of risk and intended to unify the descriptors of AAOCA within the scientific community. A common language will allow definition of high-risk morphologic features inducing myocardial ischemia while fostering collaborative efforts to improve risk stratification in AAOCA across ages, ultimately guiding evidence-based management decision making.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 8","pages":"Pages 983-1001"},"PeriodicalIF":19.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147535779","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":"Effective Right Ventricular Ejection Fraction in Tricuspid Regurgitation","authors":"Shanshan Gao MD,&nbsp;Yongkai Lu PhD","doi":"10.1016/j.jcmg.2026.04.018","DOIUrl":"10.1016/j.jcmg.2026.04.018","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 8","pages":"Page 1020"},"PeriodicalIF":19.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148656569","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":"Optimize the Stent to Optimize the Future When Stenting Calcified Coronary Lesions","authors":"Laura Young MD,&nbsp;Rishi Puri MD, PhD","doi":"10.1016/j.jcmg.2026.06.007","DOIUrl":"10.1016/j.jcmg.2026.06.007","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 8","pages":"Pages 981-982"},"PeriodicalIF":19.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148660852","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":"When Clarity Is Not the Same as Brevity","authors":"André Vaz,&nbsp;Vinícius Cardoso Serra,&nbsp;Danilo de Oliveira Santana Ramos","doi":"10.1016/j.jcmg.2026.04.014","DOIUrl":"10.1016/j.jcmg.2026.04.014","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 8","pages":"Pages 1016-1017"},"PeriodicalIF":19.0,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148656111","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}