JACC. Cardiovascular imaging最新文献

{"title":"Statin Effects on Pericoronary Adipose Tissue Density in People With HIV: Insights From the REPRIEVE Trial.","authors":"Borek Foldyna,Ibrahim Hadzic,Thomas Mayrhofer,Júlia Karády,Jana Taron,Márton Kolossváry,Vineet K Raghu,Sara McCallum,Kayla Paradis,Marissa R Diggs,Sarah M Chu,Alex B Lu,Charurut Somboonwit,Jose I Bernardino,Michael P Dubé,Craig A Sponseller,Markella V Zanni,Gerald S Bloomfield,Carlos D Malvestutto,Carl J Fichtenbaum,Judith A Aberg,Judith S Currier,Heather J Ribaudo,Pamela S Douglas,Michael T Lu,Steven K Grinspoon","doi":"10.1016/j.jcmg.2025.10.012","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.10.012","url":null,"abstract":"BACKGROUNDThe effects of statin therapy on pericoronary adipose tissue (PCAT) and its relationship with plaque progression and outcomes in people with HIV (PWH) remain poorly understood.OBJECTIVESThe aim of this study was to evaluate PCAT density changes over time; statin effects on PCAT; and associations among PCAT changes, coronary plaque, and clinical outcomes.METHODSIn the REPRIEVE (Randomized Trial to Prevent Vascular Events in HIV) mechanistic computed tomographic (CT) substudy (n = 753, mean age 51 ± 6 years, 17% women), PCAT density was measured from noncontrast CT images at baseline and 2 years, while coronary plaque volumes (total, calcified, and noncalcified) were assessed from contrast-enhanced CT angiograms. Analyses were stratified by coronary artery disease burden (segment involvement score 0, 1-3, or ≥4) and adjusted for technical parameters, atherosclerotic cardiovascular disease risk, body mass index, inflammatory biomarkers, and statin allocation. Associations among PCAT, plaque changes, and events (all-cause mortality, major adverse cardiovascular events [MACE], and MACE or death) were evaluated.RESULTSBaseline PCAT density was -87.7 ± 10.5 HU, increasing by 4.5 HU (95% CI: 3.8-5.2; P < 0.001) over 2 years. Pitavastatin prevented this increase in participants with segment involvement scores ≥4 (-1.7 HU vs +3.8 HU; P = 0.016, pitavastatin vs placebo, respectively). Greater PCAT density was associated with higher noncalcified plaque volume (per +10 HU, +5.0 mm3; P = 0.075) and reduced calcified plaque progression (-3.2 mm3; P = 0.031). Over a median of 6.3 years, 4.2% of patients died. Baseline PCAT density was independently associated with all-cause mortality (HR per +10 HU: 1.95; 95% CI: 1.03-3.69; P = 0.040), but not MACE.CONCLUSIONSPCAT density increases over time in PWH, but pitavastatin mitigates this in those with high coronary artery disease burden. PCAT density is associated with vulnerable plaque morphology and all-cause mortality, supporting its potential as a prognostic imaging biomarker in PWH. (Randomized Trial to Prevent Vascular Events in HIV [REPRIEVE]; NCT02344290).","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"110 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645015","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 Value of AI-Based Quantitative Coronary CTA vs Human Reader-Based Visual Assessment: Results From the CONFIRM2 Registry.","authors":"Alexander van Rosendael,Rine Nakanishi,Jeroen J Bax,Gianluca Pontone,Saima Mushtaq,Ronny R Buechel,Christoph Gräni,Gudrun Feuchtner,Pietro G Lacaita,Amit R Patel,Cristiane C Singulane,Andrew D Choi,Mouaz Al-Mallah,Daniele Andreini,Ronald P Karlsberg,Geoffrey W Cho,Carlos E Rochitte,Mirvat Alasnag,Ashraf Hamdan,Filippo Cademartiri,Erica Maffei,Hugo Marques,Pedro de Araújo Gonçalves,Himanshu Gupta,Martin Hadamitzky,Omar Khalique,Dinesh Kalra,James D Mills,Nick S Nurmohamed,Paul Knaapen,Matthew Budoff,Kashif Shaikh,Enrico Martin,David M German,Maros Ferencik,Andrew C Oehler,Roderick Deaño,Prashant Nagpal,Marly van Assen,Carlo N De Cecco,Vasileios Kamperidis,Borek Foldyna,Jan M Brendel,Victor Y Cheng,Kelley R Branch,Marcio Bittencourt,Sabha Bhatti,Venkateshwar Polsani,George Wesbey,Rhanderson Cardoso,Ron Blankstein,Augustin Delago,Amit Pursnani,Amro Alsaid,Vasvi Singh,Melissa Aquino,Jisuk Park,Ibrahim Danad","doi":"10.1016/j.jcmg.2025.09.021","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.09.021","url":null,"abstract":"BACKGROUNDThe 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).OBJECTIVESThe 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.METHODSCONFIRM2 (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.RESULTSIn 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; P &lt; 0.001 and NRI: 0.47; P &lt; 0.001), CACS (AUC: 0.79 vs 0.70; P &lt; 0.001 and NRI 0.61; P &lt; 0.001), the modified Duke Index (AUC: 0.81 vs 0.76; P &lt; 0.001 and NRI: 0.52; P &lt; 0.001), and CAD-RADS + CACS model (AUC: 0.81 vs 0.79; P = 0.004 and NRI: 0.54; P &lt; 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 significantly associated with MACE and death/MI, and AI-QCT significantly improved risk stratification compared with CAD-RADS for MACE (AUC: 0.77 vs 0.72; P &lt; 0.001 and NRI: 0.54; P &lt; 0.001) and death/MI (AUC: ","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"14 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-11-22","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":"Prediction of Left Ventricular Reverse Remodeling Using 18F-FAPI-74 PET/CT in Nonischemic Dilated Cardiomyopathy.","authors":"Wenyan Liu,Qiuyan Wu,Xue Yu,Jialin Song,Yuchun Zhao,Feifei Pan,Jiangnan Xiang,Xiaomeng Ma,Xiaoqin Luo,Qi Zhang,Huanzhen Chen,Chunrong Jin,Zhifang Wu,Li Li,Sijin Li","doi":"10.1016/j.jcmg.2025.10.002","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.10.002","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"198200 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145644937","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":"Distance and Likelihood of Cardiovascular Imaging Receipt Among Medicare Beneficiaries: Cardiovascular Imaging Deserts Among Medicare Beneficiaries.","authors":"Nicholas Spetko, Yang Song, Hibiki Orui, Constance Angell-James, Madeline Cassidy, Kan Liu, Ron Blankstein, Sanjay Divakaran, Rishi K Wadhera, Jordan B Strom","doi":"10.1016/j.jcmg.2025.10.018","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.10.018","url":null,"abstract":"<p><strong>Background: </strong>It is unclear whether geographic distance to a cardiovascular imaging center (CVIC) is associated with receipt of cardiovascular imaging (CVI).</p><p><strong>Objectives: </strong>This study sought to assess temporal trends in distance to a CVIC and examine the relationship of distance to a CVIC and receipt of CVI overall and by modality.</p><p><strong>Methods: </strong>Among 64,260,530 older U.S. Medicare fee-for-service and Medicare Advantage beneficiaries from 2018 to 2021, the study measured individual distances to the nearest CVIC. Poisson regression was used to evaluate the likelihood of receipt of CVI as a function of distance, overall and by modality.</p><p><strong>Results: </strong>Of those beneficiaries included (age: 73.0 ± 8 years; 54.6% female; 80.1% White), 17.5% underwent CVI. The number of CVICs increased (0.02% per year), but median distances to CVICs remained stable (3.3-3.4 miles). Compared with beneficiaries living 10 to 16 miles from a CVIC, distance >16 miles from a CVIC was associated with lower likelihood of receipt (rate ratio: 0.957 [95% CI: 0.956-0.959]; P < 0.001). The lowest likelihood of receipt was within 10 miles of services (rate ratio: 0.923 [95% CI: 0.921-0.924]; P < 0.001). Distances to cardiac computed tomography (CCT), cardiac magnetic resonance (CMR), and positron emission tomography (PET) services were longer than distances to echocardiography and single-photon emission computed tomography (SPECT) services: (median distance: CCT: 8.1 miles [Q1-Q3: 3.7-21.3 miles]; CMR: 17.4 miles [Q1-Q3: 7.3-43.3 miles]; and PET: 88.9 miles [Q1-Q3: 26.2-194.6 miles] vs echocardiography: 3.4 miles [Q1-Q3: 0.4-7.0 miles]; and SPECT: 3.8 miles [Q1-Q3: 1.3-7.9 miles]).</p><p><strong>Conclusions: </strong>From 2018 to 2021, the number of CVICs increased, although distances to CVICs remained stable. The lowest likelihood receipt of imaging overall was among those patients living within 10 miles of a CVIC, a finding suggesting that proximity is insufficient for access. CCT, CMR, and PET services were concentrated in large metropolitan academic centers.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145668520","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":"Multimodality Imaging Vignettes of Left Ventricular Assist Device Complications","authors":"Nicola Ciocca, David Reineke, Lukas Hunziker, Beate Hugi-Mayr, Michele Martinelli, Lukas Capek, Moritz Hundertmark, Monika Fürholz, Bruno Schnegg, Christoph Gräni","doi":"10.1016/j.jcmg.2025.10.017","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.10.017","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"37 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145553910","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":"Comparison of MRI- and CTA-Based Plaque-RADS to Predict Stroke and TIA in Symptomatic Carotid Disease","authors":"Juul Bierens, Alida A. Postma, Kimberly Frehe, Bart A.J.M. Wagemans, Daniel Bos, Pim A. de Jong, Paul J. Nederkoorn, Werner H. Mess, Anna Kopczak, Andreas Schindler, Tobias Saam, Luca Saba, Luc J.M. Smits, Robert J. van Oostenbrugge, M. Eline Kooi","doi":"10.1016/j.jcmg.2025.10.009","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.10.009","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"134 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-11-20","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":"AI-Based Coronary Plaque Quantification: Better by an Inch or a Mile?","authors":"Khurram Nasir, Todd C Villines","doi":"10.1016/j.jcmg.2025.10.014","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.10.014","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145648616","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":"Echocardiographic Outcomes After Transcatheter Edge-to-Edge Repair in Patients With Isolated Tricuspid Regurgitation: The Tri.Fr Trial.","authors":"Augustin Coisne,Guillaume L'Official,Julien Dreyfus,Julien Ternacle,Guillaume Leurent,Pierre-Yves Le Roux,Anne Ganivet,Catherine Sportouch-Dukhan,Yoan Lavie-Badie,Patrice Guerin,Frédéric Rouleau,Christelle Diakov,Jan Van Der Heyden,Jean-François Obadia,Mohammed Nejjari,Nicole Karam,Anne Bernard,Antoinette Neylon,Romain Pierrard,Didier Tchetche,Said Ghostine,Sabina Istratoaie,Erwan Donal","doi":"10.1016/j.jcmg.2025.09.010","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.09.010","url":null,"abstract":"BACKGROUNDThe relationships among tricuspid regurgitation (TR) reduction after tricuspid transcatheter edge-to-edge repair (T-TEER), changes in right-sided heart function, and outcomes are poorly explored.OBJECTIVESThis study aims to explore the relationship between functional remodeling and subsequent outcomes and the associations among T-TEER, residual TR, and outcomes.METHODSChanges in echocardiographic parameters from baseline to 1 year, overall and according to TR reduction were evaluated by a centralized echocardiographic core laboratory in patients included in the Tri.Fr (Evaluation of Tricuspid Valve Percutaneous Repair System in the Treatment of Severe Secondary Tricuspid Disorders) trial.RESULTSA total of 300 patients (aged 78 ± 5 years; 53.7% women) were enrolled; 152 patients were allocated to the T-TEER + guideline-directed medical therapy (GDMT) group, and 148 were allocated to the GDMT group. Patients in the T-TEER + GDMT group demonstrated a significant decrease in most of parameters of right ventricular (RV) function, whereas patients in the GDMT group exhibited no significant changes in RV metrics at 1 year. The clinical composite score improved progressively with each successive grade of TR reduction. The positive effect of T-TEER on the composite clinical score was observed irrespective of baseline right atrial volume but only in patients with normal RV-pulmonary artery coupling (defined by a tricuspid annular plane systolic excursion-to-systolic pulmonary artery pressure ratio ≥0.40). At 1 year, patients with an improved clinical composite score had a lower right atrial volume index compared with patients whose clinical score remained unchanged or worsened (median 112 mL/m2 [Q1-Q3: 78.0-146 mL/m2] vs median 141 mL/m2 [Q1-Q3: 107-173 mL/m2]; P = 0.004).CONCLUSIONSAlthough T-TEER can decrease TR severity, its impact on conventional RV function parameters and RV-pulmonary artery coupling remains limited. RV functional recovery has a smaller influence on clinical outcomes at 1 year compared with achieving optimal reduction in TR severity. (Evaluation of Tricuspid Valve Percutaneous Repair System in the Treatment of Severe Secondary Tricuspid Disorders [Tri.Fr]; NCT04646811).","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"154 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145545134","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: Impact on the Standard Echocardiographic Nomenclature.","authors":"Monica De Gaspari,Julien Dreyfus,Francesco Maisano,Stefania Rizzo,Rebecca T Hahn,Cristina Basso","doi":"10.1016/j.jcmg.2025.10.011","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.10.011","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 1","pages":""},"PeriodicalIF":14.0,"publicationDate":"2025-11-13","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":"Comparative Prognostic Value of LGE in LV Dilatation With Preserved LVEF and Dilated Cardiomyopathy.","authors":"Trecy Gonçalves, Théo Pezel, Suzanne Duhamel, Francesca Sanguineti, Philippe Garot, Alexandre Unger, Jean Guillaume Dillinger, Valérie Bousson, Solenn Toupin, Jérôme Garot","doi":"10.1016/j.jcmg.2025.10.008","DOIUrl":"https://doi.org/10.1016/j.jcmg.2025.10.008","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":15.2,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145458778","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}