JACC. Cardiovascular imaging最新文献

{"title":"Racial and Ethnic Differences Among Patients Referred for Noninvasive Coronary Artery Disease Evaluation.","authors":"Catherine X Wright, Erica S Spatz, Edward J Miller, Attila Feher","doi":"10.1016/j.jcmg.2025.01.017","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.01.017","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143780016","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":"Effects of Evolocumab on Coronary Plaque Composition and Microcalcification Activity by Coronary PET and CT Angiography.","authors":"Donghee Han, Evangelos Tzolos, Rebekah Park, Heidi Gransar, Mark Hyun, John D Friedman, Sean W Hayes, Louise E J Thomson, Alan C Kwan, Matthew Budoff, Prediman K Shah, Jacek Kwieciński, Sarah Wetzel, Chloe Findling, Piotr J Slomka, Damini Dey, Balaji K Tamarappoo, Daniel S Berman","doi":"10.1016/j.jcmg.2025.01.005","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.01.005","url":null,"abstract":"<p><strong>Background: </strong>The effects of evolocumab on the underlying coronary disease activity by positron emission tomography (PET) and coronary tree plaque composition by coronary computed tomography angiography (CTA) have not been described.</p><p><strong>Objectives: </strong>This prospective imaging study aimed to evaluate changes in coronary plaque composition on coronary CTA and coronary microcalcification, a marker of plaque activity, on ¹⁸F-sodium fluoride (NaF) positron emission tomography (PET) after evolocumab treatment.</p><p><strong>Methods: </strong>This single-arm, prospective, open-label study enrolled patients with baseline extensive noncalcified plaque volume by coronary CTA (>440 µL overall coronary artery or >250 µL in any single plaque). All participants underwent baseline and 18-month follow-up coronary CTA and ¹⁸F-NaF PET. Disease activity was evaluated with ¹⁸F-NaF PET by maximum target-to-background ratios at the lesion level and by coronary microcalcification activity for the entire coronary tree.</p><p><strong>Results: </strong>A total of 47 patients (age 61.8 ± 10.1 years, 87% male) and 196 lesions were studied. Twenty-three (48.9%) patients were asymptomatic, 16 (34%) presented with chest pain, and 8 (17%) presented with dyspnea. Four (8.5%) patients had a prior coronary artery disease history. At a mean follow-up of 18 months, there was no significant change in total plaque volume (716.2 ± 431.4 µL to 710.8 ± 456.2 µL, difference: 5.4 ± 97.4 µL; P = 0.705). Changes in plaque composition were observed, with a significant reduction in noncalcified plaque (607.3 ± 346.8 µL to 562.1 ± 337.3 µL, difference: 45.2 ± 63.8 µL; P < 0.001) and low-attenuation noncalcified plaque (37.1 ± 28.9 µL to 20.4 ± 15.4 µL, difference: 16.6 ± 23.5 µL; P < 0.001). In contrast, there was an increase in calcified plaque (108.9 ± 133.7 µL to 148.7 ± 175.3 µL, difference: 39.8 ± 56.1 µL; P < 0.001). There was a significant reduction in coronary microcalcification activity (1.35 ± 1.68 to 1.08 ± 1.37; P = 0.004) and lesion target-to-background ratio (1.73 ± 0.85 to 1.62 ± 0.83 P = 0.005).</p><p><strong>Conclusions: </strong>In stable patients with extensive noncalcified plaque volume at baseline, 18 months of evolocumab treatment was associated with a shift toward a lower risk quantitative plaque phenotype and reduction in microcalcification activity. (Effect of Evolocumab on Coronary Atherosclerosis; NCT03689946).</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143772543","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":"Machine Learning Identification of Patient Phenoclusters in Aortic Regurgitation.","authors":"Maan Malahfji, Xin Tan, Yodying Kaolawanich, Mujtaba Saeed, Andrada Guta, Michael J Reardon, William A Zoghbi, Venkateshwar Polsani, Michael Elliott, Raymond Kim, Meng Li, Dipan J Shah","doi":"10.1016/j.jcmg.2025.01.006","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.01.006","url":null,"abstract":"<p><strong>Background: </strong>Current treatment paradigms assume aortic regurgitation (AR) patients to be a homogenous population, but varied courses of disease progression and outcomes are observed clinically.</p><p><strong>Objectives: </strong>The aim of this study was to first use unsupervised machine learning to identify unique patient phenoclusters in AR, and subsequently evaluate their prognostic relevance.</p><p><strong>Methods: </strong>Clinical and cardiac magnetic resonance (CMR) characterization of moderate or severe AR patients was performed across 4 U.S.</p><p><strong>Centers: </strong>Data from 2 centers were used for derivation of phenoclusters and validation was performed in the other 2. The outcome was all-cause death. An unsupervised clustering pipeline, Partition Around Medoids, used 23 clinical and CMR variables to derive patient clusters independent of outcomes.</p><p><strong>Results: </strong>Included were 972 patients with mean age 62 ± 23.2 years, 754 (78%) male, 680 (70%) trileaflet valve, and 330 (34%) underwent valve surgery. Over a median follow-up of 2.58 years (Q1-Q3: 1.03-5.50 years), the overall mortality rate was 12%. Four clusters were derived: 1) a younger predominantly male phenotype with majority of bicuspid aortic valve and high extent of left ventricular (LV) remodeling (1% mortality); 2) older male patients with predominantly tricuspid valves and intermediate outcomes (10% mortality); 3) older predominantly male patients with the highest burden of comorbidities, LV scarring, and dysfunction (22% mortality); and 4) a phenotype of predominantly female patients with high mortality and relatively higher symptoms burden, relatively lower extent of LV remodeling, and rate of aortic valve replacement (20% mortality). The clustering algorithm was independently associated with survival after adjustment for time-dependent aortic valve replacement and traditional risk markers of prognosis in patients with AR (C statistic 0.77 vs 0.75; P = 0.009 in the validation cohort).</p><p><strong>Conclusions: </strong>Unique patient phenoclusters of AR are described using a machine learning approach leveraging comprehensive CMR and clinical characterization. This approach may be an opportunity for a precision medicine approach to enhance risk stratification of patients with AR. Female patients with AR pose a unique phenotype with high mortality, which deserves greater attention.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143719159","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":"Can Vulnerable Plaque Imaging PREVENT Cardiovascular Events?","authors":"Stephen J Nicholls, Adam J Nelson","doi":"10.1016/j.jcmg.2024.12.009","DOIUrl":"https://doi.org/10.1016/j.jcmg.2024.12.009","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143673987","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":"Phenotypes of Myocardial Dysfunction on Serial Echocardiography and CMR in Women With Early-Stage Breast Cancer.","authors":"Flora Huang, Kate Rankin, Maala Sooriyakanthan, Marisa Signorile, Chun-Po Steve Fan, Babitha Thampinathan, Thomas H Marwick, Nichanan Osataphan, Christopher Yu, C Anne Koch, Eitan Amir, Kate Hanneman, Husam Abdel-Qadir, Bernd J Wintersperger, Paaladinesh Thavendiranathan","doi":"10.1016/j.jcmg.2024.12.010","DOIUrl":"https://doi.org/10.1016/j.jcmg.2024.12.010","url":null,"abstract":"<p><strong>Background: </strong>Understanding phenotypic variations in left ventricular (LV) dysfunction during cancer therapy may allow for tailored surveillance and prevention.</p><p><strong>Objectives: </strong>The study sought to determine LV dysfunction phenotypes during cancer therapy and their interrelated-ness and association with cancer therapy-related cardiac dysfunction (CTRCD), myocardial tissue changes, and blood biomarkers.</p><p><strong>Methods: </strong>This is a secondary analysis of the EMBRACE-MRI (Evaluation of Myocardial Changes During BReast Adenocarcinoma Therapy to Detect Cardiotoxicity Earlier With MRI) study in which women with early-stage HER2+ breast cancer were recruited prospectively. High-sensitivity troponin I, B-type natriuretic peptide, and echocardiography were obtained pre-anthracycline and every 3 months with measurement of systolic and diastolic function and left atrial reservoir strain (LARS). Cardiac magnetic resonance (CMR) was performed at baseline and follow-ups with quantification of myocardial T1, T2, and extracellular volume (ECV). Diastolic dysfunction (DD) was graded using American Society of Echocardiography guidelines (\"conventional\") and regraded by replacing left atrial volume with LARS <24% (\"modified\"). Relative reduction in global longitudinal strain (GLS) >15% was considered \"worsening GLS,\" and CTRCD was defined using CMR-derived left ventricular ejection fraction.</p><p><strong>Results: </strong>Among 136 women (51.1 ± 9.2 years), CTRCD developed in 37 of 136 (27%) and worsening GLS in 53 of 126 (42%) with analyzable studies. Incident DD occurred in 25 (19.4%) of 129 and 19 (14.4%) of 132 patients by conventional and modified grading, respectively. Using LARS improved the ability to classify DD. Transition state analysis demonstrated that the first abnormal state during cancer therapy could be worsening GLS, DD, CTRCD, or a combination. A greater proportion of patients who first transition to DD vs worsening GLS developed subsequent CTRCD (5 of 8 [63%]) vs 7 of 39 [18%]). Worsening DD was associated with higher odds of subsequent CTRCD (OR: 20.9, 95% CI: 3.4-129.5) vs worsening GLS (OR: 4.9, 95% CI: 2.6-9.4). DD was significantly associated with radiation dose and ECV but not with blood biomarkers.</p><p><strong>Conclusions: </strong>Patients receiving breast cancer therapy can develop significant GLS change, DD, or CMR-defined CTRCD that can occur in isolation, concurrently, or sequentially. Development of DD is associated with ECV and higher risk for subsequent CTRCD. (Evaluation of Myocardial Changes During BReast Adenocarcinoma Therapy to Detect Cardiotoxicity Earlier With MRI [EMBRACE-MRI]; NCT02306538).</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143673988","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 Relevance and Lower Limit of the Reference Range of Left Ventricular Global Longitudinal Strain: A Clinical Validation Study.","authors":"Daniel A Morris, Chung-Lieh Hung, Tor Biering-Sørensen, Tatiana Kuznetsova, Erwan Donal, Wojciech Kosmala, Masaaki Takeuchi, Roberto Lang, Marijana Tadic, Chun-Yan Ma, Evgeny Belyavskiy, Henryk Dreger, Matthias Schneider-Reigbert, Athanasios Frydas","doi":"10.1016/j.jcmg.2024.11.004","DOIUrl":"https://doi.org/10.1016/j.jcmg.2024.11.004","url":null,"abstract":"<p><strong>Background: </strong>The lower limit of the reference normal range (LLN) of left ventricular global longitudinal strain (GLS) for each ultrasound software vendor and its prognostic relevance in the elderly and in asymptomatic patients at risk for heart failure (HF) remain uncertain.</p><p><strong>Objectives: </strong>In this study, the authors sought to validate the LLN of GLS for each ultrasound software vendor and its prognostic relevance in the elderly and in asymptomatic patients at risk for HF.</p><p><strong>Methods: </strong>To identify the LLN of GLS with the use of 2-dimensional speckle-tracking transthoracic echocardiography, a meta-analysis of studies including healthy subjects was conducted, followed by a validation study in a large cohort of healthy subjects. To validate the prognostic relevance of the LLN of GLS, 2 validation cohort studies were carried out, including elderly subjects aged ≥80 years and asymptomatic ambulatory patients with preserved left ventricular ejection fraction at risk for HF.</p><p><strong>Results: </strong>The meta-analysis, which included 47 studies with a total of 23,208 healthy adult subjects, identified the LLN for GLS at 16% (absolute value) across various ultrasound software vendors, including EchoPac, TomTec, and QLab. In the validation cohort study, which included 2,217 healthy adult subjects, a GLS cutoff of 16% was also identified as the LLN. Concerning the prognostic relevance of the LLN of GLS, a value of GLS <16% was significantly associated with HF hospitalization in asymptomatic ambulatory patients at risk for HF (n = 667; OR within 6 years: 5.1 [95% CI: 1.5-17.0]) and in elderly subjects (n = 159; OR within 2 years: 3.1 [95% CI: 1.1-8.8]).</p><p><strong>Conclusions: </strong>This clinical validation study provides important clinical data concerning the LLN of GLS (identified and validated at 16%) and its prognostic relevance in the elderly and in asymptomatic ambulatory patients at risk for HF.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143673989","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":"Coronary Artery Calcium Density and Risk of Cardiovascular Events","authors":"Yuanqi Yong MBBS ,&nbsp;Julian Giovannucci MBBS ,&nbsp;Sow Neng Pang MBChB ,&nbsp;Wei Hong MBBS, BMedSc ,&nbsp;Donghee Han MD ,&nbsp;Daniel S. Berman MD ,&nbsp;Damini Dey PhD ,&nbsp;Stephen J. Nicholls MBBS, PhD ,&nbsp;Nitesh Nerlekar MBBS, MPH, PhD ,&nbsp;Andrew Lin MBBS, BMedSc, PhD","doi":"10.1016/j.jcmg.2024.07.024","DOIUrl":"10.1016/j.jcmg.2024.07.024","url":null,"abstract":"<div><h3>Background</h3><div>There is increasing evidence that coronary artery calcium (CAC) density is inversely associated with plaque vulnerability and atherosclerotic cardiovascular disease risk.</div></div><div><h3>Objectives</h3><div>A systematic review and meta-analysis were performed to examine the predictive value of CAC density for future cardiovascular events in asymptomatic individuals undergoing noncontrast CAC scoring computed tomography.</div></div><div><h3>Methods</h3><div>Electronic databases were searched for studies reporting CAC density and subsequent cardiovascular disease (CVD) or coronary heart disease (CHD) events. Two independent reviewers performed data extraction. Random-effects models were used to estimate pooled HRs and 95% CIs. Subgroup analyses were performed with studies stratified by CVD vs CHD events and by statin use.</div></div><div><h3>Results</h3><div>Of 5,029 citations, 5 studies with 6 cohorts met inclusion criteria. In total, 1,309 (6.1%) cardiovascular events occurred in 21,346 participants with median follow-up ranging from 5.2 to 16.7 years. Higher CAC density was inversely associated with risk of cardiovascular events following adjustment for clinical risk factors and CAC volume (HR: 0.80 per SD of density [95% CI: 0.72-0.89]; <em>P &lt;</em> 0.01; <em>I</em>² = 0%). There was no significant difference in the pooled HRs for CVD vs CHD events (HR: 0.80 per SD [95% CI: 0.71-0.90] vs 0.74 per SD [95% CI: 0.59-0.94] respectively; <em>P =</em> 0.59). The protective association between CAC density and event risk persisted among statin-naive patients (HR: 0.79 per SD [95% CI: 0.70-0.89]; <em>P &lt;</em> 0.01) but not statin-treated patients (HR: 0.97 per SD [95% CI: 0.77-1.22]; <em>P =</em> 0.78); the test for interaction indicated no significant between-group differences (<em>P =</em> 0.12).</div></div><div><h3>Conclusions</h3><div>Higher CAC density is associated with a lower risk of cardiovascular events when adjusted for risk factors and CAC volume. Future work may expand the contribution of CAC density in CAC scoring, and enhance its role in CVD risk assessment, treatment, and prevention.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 3","pages":"Pages 294-304"},"PeriodicalIF":12.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142145679","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":"Leveraging a Vision Transformer Model to Improve Diagnostic Accuracy of Cardiac Amyloidosis With Cardiac Magnetic Resonance","authors":"Joshua Cockrum MD ,&nbsp;Makiya Nakashima MS ,&nbsp;Carl Ammoury MD ,&nbsp;Diane Rizkallah MD ,&nbsp;Joseph Mauch MD ,&nbsp;David Lopez MD ,&nbsp;David Wolinksy MD ,&nbsp;Tae Hyun Hwang PhD ,&nbsp;Samir Kapadia MD ,&nbsp;Lars G. Svensson MD, PhD ,&nbsp;Richard Grimm DO ,&nbsp;Mazen Hanna MD ,&nbsp;W.H. Wilson Tang MD ,&nbsp;Christopher Nguyen PhD ,&nbsp;David Chen PhD ,&nbsp;Deborah Kwon MD","doi":"10.1016/j.jcmg.2024.09.010","DOIUrl":"10.1016/j.jcmg.2024.09.010","url":null,"abstract":"<div><h3>Background</h3><div>Cardiac magnetic resonance (CMR) imaging is an important diagnostic tool for diagnosis of cardiac amyloidosis (CA). However, discrimination of CA from other etiologies of myocardial disease can be challenging.</div></div><div><h3>Objectives</h3><div>The aim of this study was to develop and rigorously validate a deep learning (DL) algorithm to aid in the discrimination of CA using cine and late gadolinium enhancement CMR imaging.</div></div><div><h3>Methods</h3><div>A DL model using a retrospective cohort of 807 patients who were referred for CMR for suspicion of infiltrative disease or hypertrophic cardiomyopathy (HCM) was developed. Confirmed definitive diagnosis was as follows: 252 patients with CA, 290 patients with HCM, and 265 with neither CA or HCM (other). This cohort was split 70/30 into training and test sets. A vision transformer (ViT) model was trained primarily to identify CA. The model was validated in an external cohort of 157 patients also referred for CMR for suspicion of infiltrative disease or HCM (51 CA, 49 HCM, and 57 other).</div></div><div><h3>Results</h3><div>The ViT model achieved a diagnostic accuracy (84.1%) and an area under the curve of 0.954 in the internal testing data set. The ViT model further demonstrated an accuracy of 82.8% and an area under the curve of 0.957 in the external testing set. The ViT model achieved an accuracy of 90% (n = 55 of 61), among studies with clinical reports with moderate/high confidence diagnosis of CA, and 61.1% (n = 22 of 36) among studies with reported uncertain, missing, or incorrect diagnosis of CA in the internal cohort. DL accuracy of this cohort increased to 79.1% when studies with poor image quality, dual pathologies, or ambiguity of clinically significant CA diagnosis were removed.</div></div><div><h3>Conclusions</h3><div>A ViT model using only cine and late gadolinium enhancement CMR images can achieve high accuracy in differentiating CA from other underlying etiologies of suspected cardiomyopathy, especially in cases when reported human diagnostic confidence was uncertain in both a large single state health system and in an external CA cohort.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 3","pages":"Pages 278-290"},"PeriodicalIF":12.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142785278","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":"Low-Flow Low-Gradient Aortic Stenosis","authors":"Ali Dahhan MD,&nbsp;Mohammad Bilal Memon DO,&nbsp;Zachariah Zaaza DO,&nbsp;Ramtin Khanipour MD,&nbsp;Hanan Gruhonjic MD","doi":"10.1016/j.jcmg.2024.11.006","DOIUrl":"10.1016/j.jcmg.2024.11.006","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 3","pages":"Page 397"},"PeriodicalIF":12.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535345","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":"Keeping Up With the Times","authors":"Alan C. Kwan MD ,&nbsp;David Ouyang MD","doi":"10.1016/j.jcmg.2024.12.005","DOIUrl":"10.1016/j.jcmg.2024.12.005","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 3","pages":"Pages 291-293"},"PeriodicalIF":12.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535348","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}