Márton Tokodi MD, PhD , Rohan Shah MD , Ankush Jamthikar MTech, PhD , Neil Craig MD , Yasmin Hamirani MD , Grace Casaclang-Verzosa MD, MBA , Rebecca T. Hahn MD , Marc R. Dweck MD, PhD , Philippe Pibarot DVM, PhD , Naveena Yanamala MSc, PhD , Partho P. Sengupta MD, DM
{"title":"Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis","authors":"Márton Tokodi MD, PhD , Rohan Shah MD , Ankush Jamthikar MTech, PhD , Neil Craig MD , Yasmin Hamirani MD , Grace Casaclang-Verzosa MD, MBA , Rebecca T. Hahn MD , Marc R. Dweck MD, PhD , Philippe Pibarot DVM, PhD , Naveena Yanamala MSc, PhD , Partho P. Sengupta MD, DM","doi":"10.1016/j.jcmg.2024.07.017","DOIUrl":"10.1016/j.jcmg.2024.07.017","url":null,"abstract":"<div><h3>Background</h3><div>The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.</div></div><div><h3>Objectives</h3><div>The authors investigated whether a previously validated echocardiography-based deep learning (DL) model assessing diastolic dysfunction (DD) could identify the latent risk associated with the development and progression of AS.</div></div><div><h3>Methods</h3><div>The authors evaluated 898 participants with AV sclerosis from the ARIC (Atherosclerosis Risk In Communities) cohort study and associated the DL-predicted probability of DD with 2 endpoints: 1) the new diagnosis of AS; and 2) the composite of subsequent mortality or AV interventions. Validation was performed in 2 additional cohorts: 1) in 50 patients with mild-to-moderate AS undergoing cardiac magnetic resonance (CMR) imaging and serial echocardiographic assessments; and 2) in 18 patients with AV sclerosis undergoing <sup>18</sup>F-sodium fluoride (NaF) and <sup>18</sup>F-fluorodeoxyglucose positron emission tomography (PET) combined with computed tomography (CT) to assess valvular inflammation and calcification.</div></div><div><h3>Results</h3><div>In the ARIC cohort, a higher DL-predicted probability of DD was associated with the development of AS (adjusted HR: 3.482 [95% CI: 2.061-5.884]; <em>P <</em> 0.001) and subsequent mortality or AV interventions (adjusted HR: 7.033 [95% CI: 3.036-16.290]; <em>P <</em> 0.001). The multivariable Cox model (incorporating the DL-predicted probability of DD) derived from the ARIC cohort efficiently predicted the progression of AS (C-index: 0.798 [95% CI: 0.648-0.948]) in the CMR cohort. Moreover, the predictions of this multivariable Cox model correlated positively with valvular <sup>18</sup>F-NaF mean standardized uptake values in the PET/CT cohort (<em>r</em> = 0.62; <em>P =</em> 0.008).</div></div><div><h3>Conclusions</h3><div>Assessment of DD using DL can stratify the latent risk associated with the progression of early-stage AS.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 2","pages":"Pages 150-165"},"PeriodicalIF":12.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142287685","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}
Saki Ito MD, MSc , Jae K. Oh MD , Hector I. Michelena MD , Alexander C. Egbe MBBS, MPH , Heidi M. Connolly MD , Patricia A. Pellikka MD , Vuyisile T. Nkomo MD, MPH , Bradley R. Lewis MSc , William R. Miranda MD
{"title":"High-Gradient Aortic Stenosis With Valve Area >1.0 cm2","authors":"Saki Ito MD, MSc , Jae K. Oh MD , Hector I. Michelena MD , Alexander C. Egbe MBBS, MPH , Heidi M. Connolly MD , Patricia A. Pellikka MD , Vuyisile T. Nkomo MD, MPH , Bradley R. Lewis MSc , William R. Miranda MD","doi":"10.1016/j.jcmg.2024.07.025","DOIUrl":"10.1016/j.jcmg.2024.07.025","url":null,"abstract":"<div><h3>Background</h3><div>Clinical features and outcomes in severe aortic stenosis (AS) have been described according to the hemodynamic phenotypes.</div></div><div><h3>Objectives</h3><div>The aim of this study was to investigate the clinical features and prognosis of patients with high-gradient (HG) AS with aortic valve area (AVA) >1.0 cm<sup>2</sup>.</div></div><div><h3>Methods</h3><div>A total of 3,209 patients were identified according to AVA (cm<sup>2</sup>), peak velocity (m/s), systolic mean pressure gradient (MG) (mm Hg): HG-AVA >1 = >1.0, ≥4, and ≥40, HG-AVA ≤1 = ≤1.0, ≥4, and ≥40; LG-AVA ≤1 (low-gradient) = ≤1.0, <4, and <40; moderate AS = 1.0 <AVA ≤1.5, 3 ≤ peak velocity <4, and 20 ≤ MG <40.</div></div><div><h3>Results</h3><div>HG-AVA >1 accounted for 230 individuals (7.2%). Compared with others, patients with HG-AVA >1 were younger (70.2 ± 12.0 years), more frequently male (85.7%), had fewer comorbidities, larger body surface area and stroke volume (115 ± 19.3 mL), and had higher prevalence of bicuspid valve (39.6%). After a follow-up of 944 days (Q1-Q3: 27-2,212 days), 1,523 deaths occurred. Compared with the HG-AVA >1 group, all-cause mortality was higher in HG-AVA ≤1 (HR: 1.4; 95% CI: 1.1-1.7), LG-AVA ≤1 (HR: 2.8; 95% CI: 2.2-3.6), and moderate AS (HR: 1.4; 95% CI: 1.1-1.7). These differences were no longer significant after adjustment for age, comorbidities, bicuspid valve, and cardiac function. In the HG-AVA >1 group, patients with aortic valve replacement had better survival outcomes than those without aortic valve replacement (<em>P <</em> 0.001) after balancing the 2 groups.</div></div><div><h3>Conclusions</h3><div>The underlying relative high-flow status is responsible for HG in patients with HG-AVA >1. This profile has better prognosis than others, being related to underlying younger age and better general and cardiac conditions, but aortic valve replacement may still benefit these patients.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 2","pages":"Pages 166-176"},"PeriodicalIF":12.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142287686","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}
Denise Peeters MSc , Eva Woelders MD , Tijn Jansen MD , Regina Konst MD, PhD , Caïa Crooijmans MD , Tim van de Hoef MD, PhD , Frans Mensink MD , Jonathan Los MD , Dario Pellegrini MD, PhD , Jan Hein Cornel MD, PhD , Peter Ong MD, PhD , Niels van Royen MD, PhD , Aukelien Leen MD, PhD , Suzette Elias-Smale MD, PhD , Robert Jan van Geuns MD, PhD , Peter Damman MD, PhD
{"title":"Association Between Coronary Artery Spasm and Atherosclerotic Disease","authors":"Denise Peeters MSc , Eva Woelders MD , Tijn Jansen MD , Regina Konst MD, PhD , Caïa Crooijmans MD , Tim van de Hoef MD, PhD , Frans Mensink MD , Jonathan Los MD , Dario Pellegrini MD, PhD , Jan Hein Cornel MD, PhD , Peter Ong MD, PhD , Niels van Royen MD, PhD , Aukelien Leen MD, PhD , Suzette Elias-Smale MD, PhD , Robert Jan van Geuns MD, PhD , Peter Damman MD, PhD","doi":"10.1016/j.jcmg.2024.05.024","DOIUrl":"10.1016/j.jcmg.2024.05.024","url":null,"abstract":"<div><div>In at least one-half of the patients with angina or ischemia and nonobstructive coronary arteries undergoing coronary function testing, coronary artery spasm (CAS) is detected. CAS is associated with an adverse prognosis regarding recurrent complaints and ischemic events. Current treatment options are mainly focused on the complaints, not on the underlying pathophysiological process. In this review we discuss available evidence regarding the presence, amount, and morphology of atherosclerosis in CAS patients. The reviewed evidence confirmed that atherosclerosis and vulnerable plaque characteristics are often detected in patients with CAS. The amount of atherosclerosis is higher in patients with focal CAS compared with patients with diffuse CAS. Severity of atherosclerosis is associated with the presence of CAS and the prognosis in CAS patients with atherosclerotic stenosis is worse. Therefore, CAS patients with atherosclerosis might benefit from targeted atherosclerotic treatment. Longitudinal studies are needed to elucidate the exact relation between atherosclerosis and CAS.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 2","pages":"Pages 226-239"},"PeriodicalIF":12.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901828","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}
Neng Dai MD , Yiqing Hu MS , Xianglin Tang MD, WeiFeng Guo MD, Zhenyang Guo MS, Fan Zhou MS, Longjiang Zhang MD, Pranav Prakash Edavi MS, Hao Lu MD, Juying Qian MD, Junbo Ge MD
{"title":"Cholesterol, Atherosclerotic, and Inflammatory Risks Among Patients With Statin Therapy","authors":"Neng Dai MD , Yiqing Hu MS , Xianglin Tang MD, WeiFeng Guo MD, Zhenyang Guo MS, Fan Zhou MS, Longjiang Zhang MD, Pranav Prakash Edavi MS, Hao Lu MD, Juying Qian MD, Junbo Ge MD","doi":"10.1016/j.jcmg.2024.08.009","DOIUrl":"10.1016/j.jcmg.2024.08.009","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 2","pages":"Pages 242-244"},"PeriodicalIF":12.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490569","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}
Yinyin Chen, Hang Jin, Xingming Guan, Hsin-Jung Yang, Xinheng Zhang, Zhenhui Chen, Shing Fai Chan, Dhirendra Singh, Nithya Jambunathan, Khalid Youssef, Keyur P Vora, Gabriel Gruionu, Sanjana K Dharmakumar, Glen Schmeisser, Richard Tang, Mengsu Zeng, Rohan Dharmakumar
{"title":"Detecting Hemorrhagic Myocardial Infarction With 3.0-T CMR: Insights Into Spatial Manifestation, Time-Dependence, and Optimal Acquisitions.","authors":"Yinyin Chen, Hang Jin, Xingming Guan, Hsin-Jung Yang, Xinheng Zhang, Zhenhui Chen, Shing Fai Chan, Dhirendra Singh, Nithya Jambunathan, Khalid Youssef, Keyur P Vora, Gabriel Gruionu, Sanjana K Dharmakumar, Glen Schmeisser, Richard Tang, Mengsu Zeng, Rohan Dharmakumar","doi":"10.1016/j.jcmg.2024.10.006","DOIUrl":"10.1016/j.jcmg.2024.10.006","url":null,"abstract":"<p><strong>Background: </strong>Hemorrhagic myocardial infarction (hMI) can rapidly diminish the benefits of reperfusion therapy and direct the heart toward chronic heart failure. T2∗ cardiac magnetic resonance (CMR) is the reference standard for detecting hMI. However, the lack of clarity around the earliest time point for detection, time-dependent changes in hemorrhage volume, and the optimal methods for detection can limit the development of strategies to manage hMI.</p><p><strong>Objectives: </strong>The authors investigated CMR signal characteristics of hMI through time-lapse multiparametric mapping using a clinically relevant animal model and evaluated the translatability in ST-segment elevation MI patients when possible.</p><p><strong>Methods: </strong>Canines (N = 20) underwent 3.0-T CMR at baseline and various time points over the first week of reperfused MI. Time-dependent relationships between T1, T2, and T2∗ mapping of hMI, non-hMI, and remote territories were determined. Reperfused ST-segment elevation MI patients (N = 50) were studied to establish clinically feasibility.</p><p><strong>Results: </strong>Although hMI was evident <1 hour after reperfusion on histopathology, it was not reliably detected with T1, T2, or T2∗ CMR. However, 24 hours to 7 days postreperfusion, hMI was detectable on T2∗ (27.0 ± 2.4 ms [baseline] vs 11.7 ± 2.8 ms [hMI]; P < 0.001), with stable volume and transmurality. In T2 maps, hMI was most visible 5 to 7 days postreperfusion with an area under the curve of 0.98 (sensitivity and specificity ≥0.95) relative to T2∗. However, this was not the case with T1 (sensitivity <0.8, across all time points).</p><p><strong>Conclusions: </strong>HMI cannot be reliably detected with T1, T2, or T2∗ on 3.0-T CMR immediately after reperfusion. However, T2∗ CMR can be used to diagnose hMI between 24 hours and 7 days postreperfusion. T2 maps at 3.0-T are a strong alternative to T2∗ maps for diagnosing hMI, provided CMR is performed 5 to 7 days postreperfusion. However, diagnosing hMI with T1 is significantly more challenging at 3.0-T compared with both T2∗ and T2.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965080","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}
Marianna Fontana, Adam Ioannou, Sarah Cuddy, Sharmila Dorbala, Ahmad Masri, James C Moon, Vasvi Singh, Olivier Clerc, Mazen Hanna, Fredrick Ruberg, Martha Grogan, Michele Emdin, Julian Gillmore
{"title":"The Last Decade in Cardiac Amyloidosis: Advances in Understanding Pathophysiology, Diagnosis and Quantification, Prognosis, Treatment Strategies, and Monitoring Response.","authors":"Marianna Fontana, Adam Ioannou, Sarah Cuddy, Sharmila Dorbala, Ahmad Masri, James C Moon, Vasvi Singh, Olivier Clerc, Mazen Hanna, Fredrick Ruberg, Martha Grogan, Michele Emdin, Julian Gillmore","doi":"10.1016/j.jcmg.2024.10.011","DOIUrl":"10.1016/j.jcmg.2024.10.011","url":null,"abstract":"<p><p>Cardiac amyloidosis represents a unique disease process characterized by amyloid fibril deposition within the myocardial extracellular space. Advances in multimodality cardiac imaging enable accurate diagnosis and facilitate prompt initiation of disease-modifying therapies. Furthermore, rapid advances in multimodality imaging have enriched understanding of the underlying pathogenesis, enhanced prognostication, and resulted in the development of imaging-based markers that reflect the amyloid burden, which is of increasing importance when assessing the response to treatment. Whereas conventional therapies have focused on reducing amyloid formation and subsequent stabilization of the cardiac disease process, novel agents are being developed to accelerate the immune-mediated removal of amyloid fibrils from the heart. In this context, the ability to track changes in the amyloid burden over time is of paramount importance. Although advanced imaging techniques have shown efficacy in tracking the treatment response, future research focused on improved precision through use of artificial intelligence may augment the detection of changes earlier in the course of treatment.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965088","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":"Ironing It Out: Unraveling the Mysteries of Hemorrhage Post Myocardial Infarction With Cardiac MRI.","authors":"Kevin Kai Li, Michael Salerno","doi":"10.1016/j.jcmg.2024.10.008","DOIUrl":"https://doi.org/10.1016/j.jcmg.2024.10.008","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965083","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}