JACC. Cardiovascular imaging最新文献

{"title":"Prognostic Value of AI-Based Quantitative Coronary CTA vs Human Reader-Based Visual Assessment","authors":"Alexander van Rosendael MD, PhD , Rine Nakanishi MD, PhD , Jeroen J. Bax MD, PhD , Gianluca Pontone MD, PhD , Saima Mushtaq MD , Ronny R. Buechel MD , Christoph Gräni MD, PhD , Gudrun Feuchtner MD , Pietro G. Lacaita MD , Amit R. Patel MD , Cristiane C. Singulane MD , Andrew D. Choi MD , Mouaz Al-Mallah MD, MSc , Daniele Andreini MD, PhD , Ronald P. Karlsberg MD , Geoffrey W. Cho MD , Carlos E. Rochitte MD , Mirvat Alasnag MD , Ashraf Hamdan MD , Filippo Cademartiri MD, PhD , Ibrahim Danad MD, PhD","doi":"10.1016/j.jcmg.2025.09.021","DOIUrl":"10.1016/j.jcmg.2025.09.021","url":null,"abstract":"<div><h3>Background</h3><div>The severity and extent of whole heart coronary plaque volume and stenosis can be reliably measured by artificial intelligence–guided quantitative coronary computed tomography angiography (AI-QCT). Limited data are available on the potential incremental prognostic value compared with currently recommended qualitative coronary computed tomography angiography (CTA) reads and the coronary artery calcium score (CACS).</div></div><div><h3>Objectives</h3><div>The aim of this study was to evaluate the prognostic value of AI-QCT compared with human coronary CTA reads, including the CAD-RADS (Coronary Artery Disease–Reporting and Data System), CACS, and the modified Duke Index.</div></div><div><h3>Methods</h3><div>CONFIRM2 (Quantitative COroNary CT Angiography Evaluation For Evaluation of Clinical Outcomes: An InteRnational, Multicenter Registry) is a multicenter, international, observational cohort study of patients undergoing clinically indicated coronary CTA with follow-up for major adverse cardiac events (MACE). Asymptomatic patients and those with cardiac history were excluded. Coronary artery disease presence, extent, and composition were quantified by AI-QCT across the coronary tree, yielding 24 patient-, vessel-, and plaque-level variables. On the basis of prior analyses, noncalcified plaque burden and diameter stenosis were identified as the strongest predictors and combined for statistical modeling as “AI-QCT.” Comparator computed tomography scores included CAD-RADS, CACS, and the modified Duke Index, whereas clinical predictors were summarized in the risk factor–weighted clinical likelihood score. Area under the curve (AUC) and continuous net reclassification index (NRI) were calculated to assess the incremental value. The primary endpoint was MACE (death, myocardial infarction [MI], stroke, heart failure, late revascularization, or hospital stay for unstable angina), and the secondary endpoint was death or MI.</div></div><div><h3>Results</h3><div>In 1,916 patients with all risk scores available, 87 (4.5%) MACE and 27 (1.4%) death/MI events occurred during 3 years of follow-up. There was a stepwise risk increase with higher coronary artery disease classifications with CAD-RADS and CACS. The addition of AI-QCT significantly improved risk stratification for MACE compared with CAD-RADS (AUC: 0.81 vs 0.79; <em>P</em> < 0.001 and NRI: 0.47; <em>P</em> < 0.001), CACS (AUC: 0.79 vs 0.70; <em>P</em> < 0.001 and NRI 0.61; <em>P</em> < 0.001), the modified Duke Index (AUC: 0.81 vs 0.76; <em>P</em> < 0.001 and NRI: 0.52; <em>P</em> < 0.001), and CAD-RADS + CACS model (AUC: 0.81 vs 0.79; <em>P</em> = 0.004 and NRI: 0.54; <em>P</em> < 0.001). AI-QCT also improved discrimination when results were adjusted for the risk factor–weighted clinical likelihood and for the prediction of death/MI. Excluding 195 patients with severe stenosis (≥70%), in a multivariable model of CAD-RADS and AI-QCT, only AI-QCT was signi","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 3","pages":"Pages 345-359"},"PeriodicalIF":15.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145644904","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":"Rebound Effect in Left Ventricular Structure, Tissue Characteristics, and Function in HOCM After Mavacamten Discontinuation","authors":"Yinzhu Chen MD , Xinyi Luo MD , Yuelong Yang MD, Jiehao Ou MBBS, Liqi Cao MD, Xiahui Tian MD, Ying Ying Bao MD, Liwen Li MD, Shuang Xia MD, Hui Liu MD","doi":"10.1016/j.jcmg.2025.09.007","DOIUrl":"10.1016/j.jcmg.2025.09.007","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 3","pages":"Pages 429-431"},"PeriodicalIF":15.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145339325","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":"Myocardial Blood Flow Assessment and Reporting for Ischemic Heart Disease","authors":"Thomas H. Schindler MD, PhD ,&nbsp;Andrew E. Arai MD ,&nbsp;Colin Berry MD, PhD ,&nbsp;Robert Sykes MD ,&nbsp;Koen Nieman MD ,&nbsp;Kakuya Kitagawa MD ,&nbsp;Y. Chandrashekhar MD ,&nbsp;Shouqiang Li MD ,&nbsp;Feng Xie MD ,&nbsp;Thomas R. Porter MD ,&nbsp;Sharmila Dorbala MD ,&nbsp;Vasken Dilsizian MD","doi":"10.1016/j.jcmg.2025.08.022","DOIUrl":"10.1016/j.jcmg.2025.08.022","url":null,"abstract":"<div><div>Positron emission tomographic myocardial perfusion imaging in conjunction with tracer-kinetic modeling affords the concurrent assessment of myocardial blood flow (MBF) in mL/min/g of tissue. Cardiac magnetic resonance, computed tomography, and echocardiography are emerging technologies capable of MBF quantification. The noninvasive evaluation and quantification of MBF during hyperemia and at rest and corresponding myocardial flow reserve expand the realm of conventional myocardial perfusion imaging from detection of the most advanced, and flow-limiting, epicardial lesions in multivessel coronary artery disease (CAD) to less severe intermediate epicardial lesions, accurate delineation of the extent and severity of ischemic burden in multivessel CAD, detection of diffuse ischemia attributable to CAD or at coronary arteriolar level such as in hypertrophic cardiomyopathy, transplantation vasculopathy, and coronary microvascular dysfunction in its classical and/or endogen forms. Apart from improving the diagnostic scope in ischemic heart disease, the additional quantitation of MBF also affords the contingency to follow-up on treatment success of therapeutic interventions, risk factor modifications, and/or lifestyle changes likely to improve long-term cardiovascular outcomes. Standardized algorithms for each imaging modality in the diagnosis and reporting of ischemia heart disease appear critical for optimized diagnosis and treatment decisions in such patients. In this respect, the convened expert panel strives to provide a concise overview of the pathophysiology of ischemic heart disease and its noninvasive assessment with different imaging modalities that may be pivotal for the diagnosis of various pattern types of ischemic heart disease, as well as individualized and image-guided patient care likely to further optimize cardiovascular outcome.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 3","pages":"Pages 378-411"},"PeriodicalIF":15.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145373895","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":"The Prognostic Value of 18F-FAPI PET/CT Imaging in Pulmonary Arterial Hypertension","authors":"Hai-Ming Chen MD ,&nbsp;Peng Hou MM ,&nbsp;Si-Hao Liang MM ,&nbsp;Wen-Liang Guo MM ,&nbsp;Ting-Ting Sun MM ,&nbsp;Shao-Nan Zhong MM ,&nbsp;Kai-Xiang Zhong MM ,&nbsp;Rui-Yue Zhao MD ,&nbsp;Yi-Min Fu BS ,&nbsp;Hui-Zhen Zhong BS ,&nbsp;Nan-Shan Zhong MD ,&nbsp;Cheng Hong MD ,&nbsp;Xin-Lu Wang MD","doi":"10.1016/j.jcmg.2025.11.010","DOIUrl":"10.1016/j.jcmg.2025.11.010","url":null,"abstract":"<div><h3>Background</h3><div>Emerging evidence demonstrates increased fluorine-18–fibroblast activation protein inhibitor (¹⁸F-FAPI) accumulation in the right ventricular (RV) and pulmonary arteries (PAs) of patients with pulmonary arterial hypertension (PAH). However, the data regarding the prognostic utility of this molecular imaging biomarker remain limited.</div></div><div><h3>Objectives</h3><div>This study evaluated the prognostic value of ¹⁸F-FAPI uptake by positron emission tomography/computed tomography (PET/CT) in PAH patients.</div></div><div><h3>Methods</h3><div>Forty-six consecutive PAH patients underwent ¹⁸F-FAPI PET/CT between August 2022 and June 2024. The patients were stratified into the low-, intermediate- and high-risk groups using a 3-strata risk model. The primary endpoint was defined as clinical worsening events. ¹⁸F-FAPI uptake was quantified as target-to-background ratio (TBR) for both RV and PAs. The relationships between the PET/CT parameters and clinical worsening were determined using Cox regression and Kaplan-Meier analyses.</div></div><div><h3>Results</h3><div>Over a median follow-up period of 17.0 months, 22 patients (47.8%) experienced clinical worsening events. The TBR in the RV and PAs progressively increased with higher risk strata (all <em>P &lt;</em> 0.05). Significantly higher TBR in the RV and PAs were observed in clinical worsening vs non–clinical worsening patients (all <em>P &lt;</em> 0.05). Multivariable Cox regression analysis identified the TBR of RV free wall (TBR_RVFW) as an independent predictor of clinical worsening (HR: 1.699 [95% CI: 1.153-2.415]; <em>P =</em> 0.007). TBR_RVFW predicted clinical worsening (area under the curve [AUC]: 0.75; 95% CI: 0.60-0.87), and AUC was further improved based on a combination of TBR_RVFW, World Health Organization functional class, and RV fractional area change (0.83; 95% CI: 0.69-0.93). Kaplan-Meier curves indicated that patients with TBR_RVFW &gt; 2.1 had a poorer prognosis (log-rank <em>P =</em> 0.005).</div></div><div><h3>Conclusions</h3><div>¹⁸F-FAPI PET uptake in the RV free wall may be a noninvasive and promising prognostic indicator for PAH.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 3","pages":"Pages 363-374"},"PeriodicalIF":15.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902486","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":"Impaired Right Ventricular Function After Transcatheter Treatment of Tricuspid Regurgitation","authors":"Paul A. Grayburn MD","doi":"10.1016/j.jcmg.2025.12.004","DOIUrl":"10.1016/j.jcmg.2025.12.004","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 3","pages":"Pages 308-310"},"PeriodicalIF":15.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902487","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":"Quantitative Coronary CT Angiography and the Power of Numbers","authors":"Koen Nieman MD, PhD (Associate Editor, JACC: Cardiovascular Imaging),&nbsp;Y. Chandrashekhar MD, DM (Editor-in-Chief, JACC: Cardiovascular Imaging)","doi":"10.1016/j.jcmg.2026.01.013","DOIUrl":"10.1016/j.jcmg.2026.01.013","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 3","pages":"Pages 444-446"},"PeriodicalIF":15.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350941","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":"Fully Automatic AI-Based Quantification of LV Mass in Echocardiography","authors":"Krunoslav Michael Sveric MD ,&nbsp;Ivan Platzek MD ,&nbsp;Stefanie Jellinghaus MD ,&nbsp;Roxana Botan MD ,&nbsp;Barış Cansız Dr-Ing ,&nbsp;F. Niklas Schietzold Dipl-Ing ,&nbsp;Stephan Haussig MD ,&nbsp;Michael Kaliske Dr-Ing ,&nbsp;Ralf-Thorsten Hoffmann PhD ,&nbsp;Axel Linke PhD","doi":"10.1016/j.jcmg.2025.09.014","DOIUrl":"10.1016/j.jcmg.2025.09.014","url":null,"abstract":"<div><h3>Background</h3><div>Accurate assessment of left ventricular (LV) myocardial mass is critical for guiding treatment decisions. Measurements based on echocardiography are limited by operator variability. Artificial intelligence (AI)–based methods promise improved precision and reproducibility, but they require validation against high-resolution reference standards such as computed tomography (CT).</div></div><div><h3>Objectives</h3><div>The aim of this study is to compare the accuracy of AI-based vs expert manual echocardiography LV mass measurements using CT as the reference and to evaluate real-world test-retest reliability.</div></div><div><h3>Methods</h3><div>In 218 patients undergoing echocardiography and CT, the authors analyzed LV mass, interventricular septal diameter (IVSD), end-diastolic diameter, posterior wall diameter (PWD), and end-diastolic volume. LV mass was assessed by the conventional linear method as well as a novel hybrid method combining end-diastolic tracings with mean wall thickness. AI- and expert-based (Expert) echocardiographic measurements were compared with CT using intraclass correlation coefficient (ICC) and mean absolute percentage error (MAPE). Increased relative wall thickness (RWT &gt;0.42;+) and abnormal LV mass was evaluated using receiver-operating characteristic analysis (area under the curve [AUC]). Test-retest reliability was assessed in a bedside cohort (n = 40) using coefficient of variation.</div></div><div><h3>Results</h3><div>AI echocardiography showed strongest agreement with CT for LV mass assessment using the hybrid method (ICC: 0.76; MAPE: 0.16) and lower agreement for the linear method (ICC: 0.49; MAPE: 0.44). Nevertheless, compared with Expert echocardiography, AI reduced measurement error by ∼20%, mainly due to more consistent IVSD and PWD measurements, and reclassified 34% of RWT+ cases. Diagnostic accuracy for detecting increased LV mass was higher with AI echocardiography than with Expert echocardiography (AUC: 0.78 vs 0.71 for linear; 0.84 vs 0.77 for hybrid). Test-retest reliability was highest with AI echocardiography for both mass methods (coefficient of variation: 7.8% and 8.1%), and reproducibility of manual assessment varied with operator skills.</div></div><div><h3>Conclusions</h3><div>AI echocardiography provides superior accuracy, diagnostic performance, and reproducibility for LV mass assessment compared with expert evaluation, supporting its clinical integration to improve standardization in cardiac imaging.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 3","pages":"Pages 311-322"},"PeriodicalIF":15.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145382733","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 Cardiac Magnetic Resonance Ischemia Burden and Cardiovascular Events","authors":"Raymond Y. Kwong MD, MPH ,&nbsp;Bobby Heydari MD ,&nbsp;Siddique Abbasi MD, MSc ,&nbsp;Francois-Pierre Mongeon MD ,&nbsp;Francois Marcotte MD ,&nbsp;Matthias Friedrich MD ,&nbsp;Leslee J. Shaw PhD ,&nbsp;Yifan Xu MPH ,&nbsp;Rebecca Anthopolos DrPH ,&nbsp;Raffi Bekeredjian MD ,&nbsp;Lorenzo Monti MD ,&nbsp;Joseph Selvanayagam MBBS, DPhil ,&nbsp;Maciej Lesiak MD, PhD ,&nbsp;Michael H. Picard MD ,&nbsp;Daniel S. Berman MD ,&nbsp;Sripal Bangalore MD, MHA ,&nbsp;John A. Spertus MD, MPH ,&nbsp;Gregg W. Stone MD ,&nbsp;William E. Boden MD ,&nbsp;James Min MD ,&nbsp;Harmony R. Reynolds MD","doi":"10.1016/j.jcmg.2025.10.015","DOIUrl":"10.1016/j.jcmg.2025.10.015","url":null,"abstract":"<div><h3>Background</h3><div>Research comparing the prognostic value of stress cardiac magnetic resonance (CMR) to other stress modalities in patients with coronary disease is limited.</div></div><div><h3>Objectives</h3><div>The authors compared the prognostic value of stress CMR vs alternative testing by either single-photon emission computed tomography or stress echocardiography (SPECT/echo) in the ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches) trial.</div></div><div><h3>Methods</h3><div>CMR vs SPECT/echo was compared in 3,909 patients randomized in ISCHEMIA after sites’ interpretation of moderate to severe ischemia. Ischemia and infarct extent, measured by either CMR or SPECT/echo, were each associated with the trial’s primary outcome of cardiovascular death, nonfatal myocardial infarction (MI), or hospitalization for unstable angina, heart failure, or resuscitated cardiac arrest, at a median follow-up of 3.37 years (Q1-Q3: 2.20-4.56 years).</div></div><div><h3>Results</h3><div>Compared with SPECT/echo (n = 5,627), CMR participants (n = 313) were not different in key demographic factors but were more likely to have severe ischemia (57% vs 38%; <em>P</em> &lt; 0.001) and to be randomized (n = 257, 82%, vs n = 3,652, 65%; <em>P</em> &lt; 0.001). Ischemia severity (no/mild, moderate, severe) by CMR core laboratory was associated with cumulative 4-year event rates of all trial-specific endpoints, including the primary outcome (<em>P =</em> 0.042), cardiovascular death/MI (<em>P =</em> 0.041), and nonfatal MI (<em>P =</em> 0.03), but SPECT/echo ischemia severity was not. No/mild, moderate, and severe ischemia by CMR were associated with 0%, 14%, and 23% 4-year primary outcome rates, respectively, compared with 18%, 15%, and 16%, by SPECT/echo. After adjustment for age, estimated glomerular filtration rate, and diabetes, the association between ischemia extent and the primary endpoint differed by imaging modality, with each additional ischemic segment on CMR associated with a 13% increase in hazard (interaction <em>P =</em> 0.02). In participants assigned to initial conservative management who had no/mild ischemia on imaging, 4-year rates of invasive referral and coronary revascularization were lower in the CMR than SPECT/echo group (16.7% and 0%, respectively, for CMR; and 31% and 13.3%, respectively, for SPECT/echo).</div></div><div><h3>Conclusions</h3><div>Ischemia severity by CMR had a stronger association with all ISCHEMIA trial endpoints compared with SPECT/echo. (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches [ISCHEMIA]; <span><span>NCT01471522</span><svg><path></path></svg></span>)</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 3","pages":"Pages 326-341"},"PeriodicalIF":15.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145680574","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":"Could Artificial Intelligence Change Our View on Left Ventricular Mass Measured by Echocardiography?","authors":"Paul Leeson MB, PhD ,&nbsp;Sadie Bennett MClinRes","doi":"10.1016/j.jcmg.2025.11.007","DOIUrl":"10.1016/j.jcmg.2025.11.007","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 3","pages":"Pages 323-325"},"PeriodicalIF":15.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145704401","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":"Importance of Direct Visualization Fibroblast Activation Protein in Pulmonary Artery Hypertension","authors":"Stephanie L. Thorn PhD ,&nbsp;Albert J. Sinusas MD","doi":"10.1016/j.jcmg.2026.01.003","DOIUrl":"10.1016/j.jcmg.2026.01.003","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 3","pages":"Pages 375-377"},"PeriodicalIF":15.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350289","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}