{"title":"Assessment of Treatment Response: Expanding the Applications of 18F-Florbetapir PET Imaging in Light-Chain Cardiac Amyloidosis Beyond Diagnosis and Outcome Prediction.","authors":"Giuseppe Vergaro,Dario Genovesi","doi":"10.1016/j.jcmg.2025.09.006","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.09.006","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"37 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145277253","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":"Feature Tracking-Derived Global Longitudinal Strain Enhances Risk Stratification for Sudden Cardiac Death in Hypertrophic Cardiomyopathy.","authors":"Xuan Ma,Yun Tang,Xingrui Chen,Shujuan Yang,Jiaxin Wang,Kai Yang,Zhixiang Dong,Zhuxin Wei,Xi Jia,Yujie Liu,Pengyu Zhou,Kankan Zhao,Yanyan Song,Minjie Lu,Xiuyu Chen,Shihua Zhao","doi":"10.1016/j.jcmg.2025.08.019","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.08.019","url":null,"abstract":"BACKGROUNDLeft ventricular (LV)-global longitudinal strain (GLS) assessed by cardiac magnetic resonance (CMR) feature tracking is an emerging marker for predicting adverse outcomes in hypertrophic cardiomyopathy (HCM), but its incremental prognostic value and mechanistic role in sudden cardiac death (SCD) risk stratification remain unclear.OBJECTIVESThe study sought to evaluate whether LV-GLS adds prognostic value beyond current ESC (European Society of Cardiology) and ACC (American College of Cardiology)/AHA (American Heart Association) SCD risk models, and mediates the relationship between myocardial abnormalities and SCD risk in HCM.METHODSThe authors retrospectively analyzed 2,009 patients with HCM (mean age: 50 ± 14 years, 70% men) who underwent CMR between 2010 and 2017. LV-GLS was quantified using cine CMR feature tracking. The primary endpoint included SCD and aborted SCD. Prognostic performance was assessed using time-dependent receiver-operating characteristic analysis and competing risk regression. Mediation analysis was used to investigate how LV-GLS mediated associations between myocardial hypertrophy, fibrosis, and SCD.RESULTSOver a median follow-up of 88.2 months, 85 (4.2%) patients experienced SCD events. These patients had significantly lower absolute LV-GLS values (9.0% ± 3.6% vs 11.1% ± 3.6%; P < 0.001). In competing-risk regression, LV-GLS independently predicted SCD after adjustment for ESC (subdistribution HR [sHR]: 1.12 per 1% decrease [95% CI: 1.06-1.22]; P < 0.001) and ACC/AHA risk factors (sHR: 1.09 [95% CI: 1.02-1.18]; P = 0.016). Adding LV-GLS improved the 5-year predictive accuracy of both ESC and ACC/AHA models (AUC from 0.72 to 0.77 and from 0.71 to 0.76, respectively). Absolute LV-GLS with a cutoff of 9.23% further stratified risk in patient subgroups with either class II or class III implantable cardioverter-defibrillator indications (all log-rank P < 0.001). Mediation analysis showed LV-GLS partially mediated the effect of maximum wall thickness and extent of fibrosis on SCD (proportion-mediated: 17.5% and 23.1%, respectively; both P < 0.001).CONCLUSIONSIn patients with HCM, CMR-derived LV-GLS is an incremental predictor of SCD beyond current guideline-based risk models and partially mediates the association between myocardial abnormalities and SCD.","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"102 4 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145261391","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}
Arthur Shiyovich,Avinainder Singh,Camila V Blair,Rhanderson Cardoso,Daniel Huck,Gary Peng,Leslee J Shaw,Jonathon A Leipsic,Christoph Gräni,Charalambos Antoniades,Pál Maurovich-Horvat,Eric E Williamson,Filippo Cademartiri,Stephan Achenbach,Ron Blankstein
{"title":"Photon-Counting Computed Tomography in Cardiac Imaging.","authors":"Arthur Shiyovich,Avinainder Singh,Camila V Blair,Rhanderson Cardoso,Daniel Huck,Gary Peng,Leslee J Shaw,Jonathon A Leipsic,Christoph Gräni,Charalambos Antoniades,Pál Maurovich-Horvat,Eric E Williamson,Filippo Cademartiri,Stephan Achenbach,Ron Blankstein","doi":"10.1016/j.jcmg.2025.07.022","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.07.022","url":null,"abstract":"Coronary computed tomography (CT) angiography plays a pivotal role in the diagnosis, risk stratification, and treatment of patients with known or suspected coronary artery disease. However, conventional CT technologies are limited by spatial resolution, artifact susceptibility, and radiation exposure. Photon-counting computed tomography (PCCT) introduces substantial technological improvements over conventional CT. This includes improved spatial and contrast resolution, energy discrimination, and reduction of various artifacts. As a result, PCCT enables superior coronary lumen and plaque evaluation, even in complex cases with severe calcification or smaller coronary stents. Beyond the coronary arteries, PCCT offers improved visualization of cardiac anatomy and myocardial tissue characterization with the potential to reduce downstream testing, improve diagnosis and treatment, and ultimately improve clinical outcomes. PCCT is poised to become the dominant technology for cardiovascular CT; however, challenges such as high costs, increased data demands, and a need for more validation, standardized image acquisition, and post-processing protocols remain. This review explores the technical principles of PCCT, its advantages over conventional CT, and its current and potential future applications in cardiac imaging, highlighting opportunities for future research.","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145246912","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}
Siyu Zou MBBS, ScM, Hairong Liu MHS, Yejin Mok PhD, Abhishek Gami MD, Lin Yee Chen MBBS, MS, Matthew Budoff MD, Michael J. Blaha MD, MPH, Kunihiro Matsushita MD, PhD
{"title":"Calcified Coronary Lesion Number and Risk of Cardiovascular Disease in the 75-and-Older Population","authors":"Siyu Zou MBBS, ScM, Hairong Liu MHS, Yejin Mok PhD, Abhishek Gami MD, Lin Yee Chen MBBS, MS, Matthew Budoff MD, Michael J. Blaha MD, MPH, Kunihiro Matsushita MD, PhD","doi":"10.1016/j.jcmg.2025.05.014","DOIUrl":"10.1016/j.jcmg.2025.05.014","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 10","pages":"Pages 1176-1178"},"PeriodicalIF":15.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144645819","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}
Bálint Szilveszter MD, PhD , Borbála Vattay MD , Melinda Boussoussou MD , Milán Nagy-Vecsey MD , György Rokszin MD, PhD , Ibolya Fábián MSc , Judit Simon MD, PhD , Béla Merkely MD, PhD, DSc , Pál Maurovich-Horvat MD, PhD, DSc, MPH , Márton Kolossváry MD, PhD
{"title":"Interaction Between Statin Use, Coronary Artery Disease Phenotypes, on Computed Tomography Angiography, and Cardiovascular Outcomes","authors":"Bálint Szilveszter MD, PhD , Borbála Vattay MD , Melinda Boussoussou MD , Milán Nagy-Vecsey MD , György Rokszin MD, PhD , Ibolya Fábián MSc , Judit Simon MD, PhD , Béla Merkely MD, PhD, DSc , Pál Maurovich-Horvat MD, PhD, DSc, MPH , Márton Kolossváry MD, PhD","doi":"10.1016/j.jcmg.2025.05.018","DOIUrl":"10.1016/j.jcmg.2025.05.018","url":null,"abstract":"<div><h3>Background</h3><div>Although statins are recommended for decreasing cardiovascular risk, their efficacy across different patient phenotypes stratified by coronary artery disease (CAD) remains unclear.</div></div><div><h3>Objectives</h3><div>This study aims to evaluate whether statins decrease major adverse cardiac events (MACE) among CAD phenotypes according to severity, vulnerability and extent categorized by coronary computed tomography angiography (CTA).</div></div><div><h3>Methods</h3><div>The authors analyzed consecutive patients who were referred for coronary CTA at a tertiary center for the assessment of chronic coronary syndrome. The primary endpoint was MACE defined as a composite of all-cause mortality, acute myocardial infarction, or revascularization for unstable angina. Statin use was defined as annualized days on statin therapy (days on statin based on redeemed prescriptions, divided by follow-up time), and analyzed for each 10% increase in statin use over the follow-up period. Interaction analysis, adjusting for risk factors was applied to define treatment benefit across CAD phenotypes.</div></div><div><h3>Results</h3><div>Overall, 11,026 individuals (mean age: 58.6 ± 11.9 years, 54.7% male) were analyzed who underwent coronary CTA between January 1, 2013, and December 31, 2020. A 10% increase in statin use was associated with lower risk for MACE the stratified Cox-regression model in patients with CAD (adjusted HR [aHR]: 0.95 [95% CI: 0.92-0.99]; <em>P =</em> 0.006), but not in patients without CAD (aHR: 0.95 [95% CI: 0.84-1.07]; <em>P =</em> 0.370). In the total population using interaction analysis including CAD phenotypes, a 10% increase in statin use decreased the risk for MACE in the presence of obstructive CAD (aHR: 0.91 [95% CI: 0.85-0.97]; <em>P =</em> 0.006), high-risk plaque (aHR: 0.82 [95% CI: 0.68-0.98]; <em>P =</em> 0.026), calcium score of ≥400 (aHR: 0.93 [95% CI: 0.87-0.99]; <em>P =</em> 0.024), and segment involvement score of >4 (aHR: 0.89 [95% CI: 0.84-0.95]; <em>P <</em> 0.001), but not for any CAD (aHR: 0.95 [95% CI: 0.85-1.07]; <em>P =</em> 0.411).</div></div><div><h3>Conclusions</h3><div>Statin efficacy to decrease MACE depends on CAD phenotypes and increases with the extent and severity of disease and in the presence of high-risk plaques. Patients without CAD have no benefit from statin therapy regarding MACE. Coronary CTA may play a pivotal role in optimizing statin allocation for personalized treatment decisions to prevent MACE.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 10","pages":"Pages 1116-1127"},"PeriodicalIF":15.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144775388","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}
Simran Shergill MBChB, Mohamed Elshibly MBBS, Anju Velvet MBBS, Aida Moafi MD, Kelly S. Parke BSc, David Adlam DPhil, Peter Kellman PhD, Andrew Ladwiniec MD, Gerry P. McCann MD, J. Ranjit Arnold DPhil
{"title":"Quantitative Flow Ratio for Detecting Significant Coronary Artery Disease","authors":"Simran Shergill MBChB, Mohamed Elshibly MBBS, Anju Velvet MBBS, Aida Moafi MD, Kelly S. Parke BSc, David Adlam DPhil, Peter Kellman PhD, Andrew Ladwiniec MD, Gerry P. McCann MD, J. Ranjit Arnold DPhil","doi":"10.1016/j.jcmg.2025.05.009","DOIUrl":"10.1016/j.jcmg.2025.05.009","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 10","pages":"Pages 1170-1172"},"PeriodicalIF":15.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144553616","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}
Holly Morgan MBBCh, Amedeo Chiribiri PhD, Muhummad Sohaib Nazir PhD, Hassan Zaidi PhD, Jennifer Mancio MBBS, Ebraham Alskaf PhD, Matthew Dodd MSc, Martin Bishop PhD, Christopher Aldo Rinaldi MD, Divaka Perera MD
{"title":"Myocardial Scar and Arrhythmic Risk Stratification in Ischemic Left Ventricular Systolic Dysfunction","authors":"Holly Morgan MBBCh, Amedeo Chiribiri PhD, Muhummad Sohaib Nazir PhD, Hassan Zaidi PhD, Jennifer Mancio MBBS, Ebraham Alskaf PhD, Matthew Dodd MSc, Martin Bishop PhD, Christopher Aldo Rinaldi MD, Divaka Perera MD","doi":"10.1016/j.jcmg.2025.05.012","DOIUrl":"10.1016/j.jcmg.2025.05.012","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 10","pages":"Pages 1173-1175"},"PeriodicalIF":15.2,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144600455","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}