JACC. Cardiovascular imaging最新文献

{"title":"Comparison of MRI- and CTA-Based Plaque-RADS to Predict Stroke and TIA in Symptomatic Carotid Disease","authors":"Juul Bierens MSc, Alida A. Postma MD, PhD, Kimberly Frehe BSc, Bart A.J.M. Wagemans MD, Daniel Bos MD, PhD, Pim A. de Jong MD, PhD, Paul J. Nederkoorn MD, PhD, Werner H. Mess MD, PhD, Anna Kopczak MD, Andreas Schindler MD, PhD, Tobias Saam MD, PhD, Luca Saba MD, PhD, Luc J.M. Smits PhD, Robert J. van Oostenbrugge MD, PhD, M. Eline Kooi PhD","doi":"10.1016/j.jcmg.2025.10.009","DOIUrl":"10.1016/j.jcmg.2025.10.009","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 5","pages":"Pages 656-658"},"PeriodicalIF":15.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145553621","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":"Young CT Scanners, Old Patients","authors":"Ruurt A. Jukema MD","doi":"10.1016/j.jcmg.2026.01.005","DOIUrl":"10.1016/j.jcmg.2026.01.005","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 5","pages":"Pages 618-620"},"PeriodicalIF":15.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147355169","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":"Tricuspid Valve Morphology","authors":"Monica De Gaspari MD, PhD, Julien Dreyfus MD, PhD, Francesco Maisano MD, Stefania Rizzo MD, PhD, Rebecca T. Hahn MD, Cristina Basso MD, PhD","doi":"10.1016/j.jcmg.2025.10.011","DOIUrl":"10.1016/j.jcmg.2025.10.011","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 5","pages":"Pages 653-655"},"PeriodicalIF":15.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145545084","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":"CTA and CMR in Suspected Non–ST-Segment Elevation Myocardial Infarction","authors":"Yvonne J.M. van Cauteren MD , Marie-Julie D.K. Lemmens MD , Sebastiaan C.A.M. Bekkers MD, PhD, Jordi Heijman PhD, Johan van Koll MD, Bas L.J.H. Kietselaer MD, PhD, Samuel Heuts MD, PhD, Sander M.J. van Kuijk PhD, Raymond J. Kim MD, Kevin Vernooy MD, PhD, Joachim E. Wildberger MD, PhD, Casper Mihl MD, PhD , Martijn W. Smulders MD, PhD","doi":"10.1016/j.jcmg.2025.10.022","DOIUrl":"10.1016/j.jcmg.2025.10.022","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 5","pages":"Pages 659-661"},"PeriodicalIF":15.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731930","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":"Right Ventricular Outflow Tract Diameter for Event Prediction in Arrhythmogenic Right Ventricular Cardiomyopathy","authors":"Thierry G. Donati MD ,&nbsp;Francesca Ortelli MD ,&nbsp;Monika Hebeisen MSc ,&nbsp;Alexandros Protonotarios MD, PhD ,&nbsp;Paul A.S. Olsen MD ,&nbsp;Ardan M. Saguner MD ,&nbsp;Firat Duru MD ,&nbsp;Konstantinos Savvatis MD, PhD ,&nbsp;Perry M. Elliott MD, PhD ,&nbsp;Kristina H. Haugaa MD, PhD ,&nbsp;Felix C. Tanner MD","doi":"10.1016/j.jcmg.2025.10.019","DOIUrl":"10.1016/j.jcmg.2025.10.019","url":null,"abstract":"<div><h3>Background</h3><div>Right ventricular outflow tract (RVOT) dilatation is a phenotypic feature of arrhythmogenic right ventricular cardiomyopathy (ARVC). The echocardiographic RVOT diameter is part of the 2010 Task Force Criteria and is widely measured in clinical practice. Nevertheless, few data exist on its prevalence, diagnostic value, and prognostic significance.</div></div><div><h3>Objectives</h3><div>This study aimed to explore the association of RVOT diameter with adverse outcomes in ARVC patients without (primary prevention) or with (secondary prevention) previous ventricular arrhythmia (VA), identify the best RVOT diameter for diagnosing ARVC, and understand whether isolated RVOT dilatation occurs in ARVC.</div></div><div><h3>Methods</h3><div>Patients with definite ARVC and genetic testing results were included in a cross-sectional outcome study. Isolated RVOT dilatation was defined as an enlarged RVOT diameter without concurrent right ventricular (RV) end-diastolic area dilatation. The diagnostic power of RVOT diameter was assessed compared with 100 healthy control subjects. The time to first event after baseline echocardiography was analyzed by Cox regression.</div></div><div><h3>Results</h3><div>The cohort consisted of 370 patients (mean age: 47 years; 56% male; 65% primary prevention; median follow-up: 6.8 years [Q1-Q3: 3.8-10.5 years]; 136 events [100 VA; 35 deaths]). RVOT dilatation occurred in 69% and isolated dilatation in 24% of patients. All RVOT diameters had similar diagnostic power (RVOT3/body surface area, AUC: 0.71 [95% CI: 0.66-0.76]) and a similar association with VA (RVOT3/body surface area, HR: 1.08 [95% CI: 1.04-1.13]; <em>P &lt;</em> 0.001) or death (HR: 1.26 [95% CI: 1.18-1.35]; <em>P &lt;</em> 0.001). Dilated RVOT was associated with a shorter time to VA or death in primary prevention and death in secondary prevention, and its feasibility was higher, its reproducibility was better, and its outcome association was stronger than those of RV free-wall strain.</div></div><div><h3>Conclusions</h3><div>Isolated RVOT dilatation occurred in &gt;20% of ARVC patients. All RVOT diameters showed good diagnostic power, were strongly associated with time to adverse events, were associated with adverse events in primary and secondary prevention, and exhibited superior feasibility, reproducibility, and outcome association compared with RV free-wall strain.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 5","pages":"Pages 571-584"},"PeriodicalIF":15.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145663997","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)00178-6","DOIUrl":"10.1016/S1936-878X(26)00178-6","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 5","pages":"Pages I-CV"},"PeriodicalIF":15.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147808024","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":"A Novel Breast Arterial Calcification Age-Based Percentile Nomogram for the Incremental Prediction of Incidental Cardiovascular Events.","authors":"Nitesh Nerlekar,Cheng Hwee Soh,Sheran Vasanthakumar,Vinay Goel,Richard Mantey,Junhao Wang,Emma Aldous,Rhea Nandurkar,Clare G Arnott,Quan M Bui,Alyssa Watanabe,Matthew Nudy,Stephen J Nicholls,Lori B Daniels,Thomas H Marwick","doi":"10.1016/j.jcmg.2026.03.008","DOIUrl":"https://doi.org/10.1016/j.jcmg.2026.03.008","url":null,"abstract":"BACKGROUNDBreast arterial calcification (BAC) detected on routine mammography is an emerging marker of cardiovascular risk in women. However, substantial age-related variability limits its clinical interpretability. Age-adjusted nomograms may improve risk stratification and communication.OBJECTIVESThis study aims to determine whether age-adjusted BAC percentiles derived from mammography predict major adverse cardiovascular events (MACE) independent of atherosclerotic cardiovascular disease (ASCVD) risk scores.METHODSIn this multicenter retrospective cohort study, 21,514 women without known cardiovascular disease and aged ≥40 years (57 ± 12 years) from sites in the United States and Australia underwent screening mammography and ASCVD risk assessment. BAC was quantified using artificial intelligence (cmAngio research edition, CureMetrix Inc) and expressed as age-adjusted percentiles. The primary outcome was MACE (death, ischemic heart disease, stroke, or heart failure). Associations between BAC percentiles with MACE were adjusted for established cardiovascular risk factors using Cox and competing risk regression methods, and incremental predictive value was evaluated.RESULTSBAC was present in 22.7% of women, increasing with age (8%: <50 years; 61%: >70 years). During a mean follow-up of 4.7 years, 828 MACE (3.8%) occurred. Each 10-percentile increase in BAC was associated with a 17% relative increase in MACE risk (adjusted HR [aHR]: 1.17 [95% CI: 1.015-1.019]; P < 0.001), independent of conventional risk factors. Associations remained significant for each MACE component in competing risk models (all P < 0.001). Women with low ASCVD risk (80% of cohort) had significantly increased MACE with both BAC percentile less than median (aHR: 1.66 [95% CI: 1.35-2.04], P < 0.001) and more than median (aHR: 2.31 [95% CI: 1.82-2.93], P < 0.001). Women with intermediate and high ASCVD risk had greater MACE when BAC was more than median (intermediate aHR: 1.40 [95% CI: 1.07-1.82], P = 0.01; high aHR: 1.65 [95% CI: 1.24-2.21], P < 0.001). The addition of BAC to ASCVD risk score appropriately up-classified 9% of individuals with MACE and down-classified 3% of individuals without events, resulting in an overall net reclassification index of 5% ± 1%. The C-statistic for the clinical model improved from 0.67 to 0.71 (Δ 0.04 [95% CI: 0.01-0.07]; P = 0.042) with addition of BAC.CONCLUSIONSAge-adjusted BAC independently predicts cardiovascular events beyond traditional ASCVD risk scores and reclassifies low- and intermediate-risk individuals. Integration of BAC into cardiovascular risk assessment frameworks may facilitate early identification of at-risk women.","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"149 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147743855","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":"Deep Learning for Cardiac Image Analysis: Unveiling Advances in Deep Learning Architectures.","authors":"Joske L van der Zande, Laura Alvarez-Florez, Rick H J A Volleberg, Carolina Brás, Dimitrios Karkalousos, Robin Nijveldt, Niels van Royen, Tim Leiner, Nadieh Khalili, Geert Litjens, Jos Thannhauser, Ivana Išgum","doi":"10.1016/j.jcmg.2026.03.007","DOIUrl":"https://doi.org/10.1016/j.jcmg.2026.03.007","url":null,"abstract":"<p><p>Deep learning (DL) continues to advance cardiac image analysis with increasingly sophisticated methodologies. Although convolutional neural networks laid the foundation for DL, emerging methods including graph neural networks, transformers, implicit neural representations, generative adversarial networks, and foundation models enable enhanced anatomical and functional modeling, image generation, and multimodal integration. Graph neural networks enable non-Euclidean data representations that preserve anatomical structure; transformers improve sequence modeling in dynamic imaging; and implicit neural representations introduce continuous spatial representations for more accurate reconstructions. Generative adversarial networks enhance image generation, noise reduction, and cross-modality synthesis adaptation, while foundation models introduce a unified, generalizable framework capable of adapting across diverse imaging tasks. This review discusses these key innovations of DL in cardiac imaging, their implications, and their challenges as well as potential future directions in the field, such as clinical validation trials.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":15.2,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147815387","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":"From Coronary Angiography to Comprehensive Cardiac Phenotyping With Photon-Counting CT.","authors":"Arthur Shiyovich","doi":"10.1016/j.jcmg.2026.03.011","DOIUrl":"https://doi.org/10.1016/j.jcmg.2026.03.011","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2026-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147733813","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":"Effective RVEF as a New Compass for Right Ventricular Systolic Function in Significant Tricuspid Regurgitation.","authors":"Hyung-Kwan Kim","doi":"10.1016/j.jcmg.2026.03.013","DOIUrl":"https://doi.org/10.1016/j.jcmg.2026.03.013","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"46 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147733964","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}