JACC. Cardiovascular imaging最新文献

{"title":"Lipoprotein(a) and Coronary Atherosclerosis","authors":"Robert S. Rosenson MD, Sascha N. Goonewardena MD","doi":"10.1016/j.jcmg.2026.07.009","DOIUrl":"10.1016/j.jcmg.2026.07.009","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 9","pages":"Pages 1120-1121"},"PeriodicalIF":19.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148912145","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":"Beyond Percentiles","authors":"Lei Xu PhD","doi":"10.1016/j.jcmg.2026.05.023","DOIUrl":"10.1016/j.jcmg.2026.05.023","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 9","pages":"Page 1162"},"PeriodicalIF":19.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148912147","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 CT-Based Differentiation of Pathologically Verified Fibroatheroma From Pathologic Intimal Thickening","authors":"Yusuke Adachi MD, Tatsuya Shiraki MD, Anna Madra PhD, Rika Kawakami MD, Aloke V. Finn MD, Jagat Narula MD, Renu Virmani MD","doi":"10.1016/j.jcmg.2026.04.011","DOIUrl":"10.1016/j.jcmg.2026.04.011","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 9","pages":"Pages 1159-1161"},"PeriodicalIF":19.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148054536","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":"Serial Changes in Epicardial Adipose Tissue Attenuation Identify Residual Atherosclerotic Risk Independent of LDL Lowering","authors":"Shaun Khanna MBBS, MMed,&nbsp;Edwin Xu MD,&nbsp;Cheng Hwee Soh BSc (Biomed), PhD,&nbsp;Sheran Vasanthakumar MBBS,&nbsp;Rhea Machado MD,&nbsp;Andrew Lin MBBS, PhD,&nbsp;Clare Arnott MBBS, PhD,&nbsp;Damini Dey PhD,&nbsp;Stephen J. Nicholls MBBS, PhD,&nbsp;Thomas H. Marwick MBBS, MPH, PhD,&nbsp;Nitesh Nerlekar MBBS, MPH, PhD","doi":"10.1016/j.jcmg.2026.05.014","DOIUrl":"10.1016/j.jcmg.2026.05.014","url":null,"abstract":"<div><h3>Background</h3><div>Coronary plaque progression persists in some patients despite effective low-density lipoprotein cholesterol (LDL-C) lowering. Epicardial adipose tissue (EAT) is a metabolically active visceral fat depot that may influence coronary atherosclerosis through inflammatory signaling. The authors hypothesized that longitudinal changes in EAT would influence plaque progression.</div></div><div><h3>Methods</h3><div>Plaque and EAT quantification with paired baseline and follow-up coronary computed tomography angiography was attainable in 313 asymptomatic, statin-naive participants (aged 58.8 ± 6.8 years, 44% female) in the CAUGHT-CAD (Coronary Artery calcium score: Use to Guide management of Hereditary Coronary Artery Disease) trial. Associations between longitudinal changes in EAT volume and attenuation (ΔEAT) and coronary plaque outcomes were evaluated using analysis of covariance models, with adjustment for baseline plaque burden, treatment allocation, and changes in cardiometabolic risk factors. Exploratory analyses evaluated the relationship between ΔEAT attenuation and Δ pericoronary adipose tissue (PCAT) attenuation. An LDL-C–based reference model of achieved LDL-C (Reference: &lt;1.4 mmol/L [&lt;55 mg/dL], 1.4-1.8 mmol/L [55-70 mg/dL], and &gt;1.8 mmol/L [&gt;70 mg/dL]) was used, and incremental discrimination with ΔEAT attenuation was assessed using nested model comparison and likelihood ratio testing.</div></div><div><h3>Results</h3><div>Higher ΔEAT attenuation, but not EAT volume change, remained independently associated with progression of noncalcified plaque (NCP) and adverse plaque remodeling. Per 1-SD increase in ΔEAT attenuation, NCP volume was higher by 4.21 mm³ (95% CI: 0.67-7.74; <em>P</em> = 0.020), fibrous plaque volume by 3.55 mm³ (95% CI: 0.67-6.43; <em>P</em> = 0.016), and NCP percent atheroma volume by 1.08% (95% CI: 0.47-1.69; <em>P</em> &lt; 0.001). In participants with high baseline EAT volume (tertile 3 ≥67.1 cm³), the addition of ΔEAT attenuation to LDL-C–based analysis of covariance models resulted in a statistically significant improvement in model fit (Δ Akaike information criterion −4.8; likelihood ratio test <em>P</em> = 0.012). In exploratory analyses, ΔEAT attenuation was also associated with increasing PCAT attenuation (β = 2.44 HU per SD; <em>P</em> &lt; 0.001), suggesting that changes in PCAT may partly explain the observed association with plaque progression.</div></div><div><h3>Conclusions</h3><div>The association of serial changes in EAT attenuation with coronary plaque remodeling, independent of LDL-C lowering, supports a potential mechanistic role for EAT inflammation in residual plaque progression.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 9","pages":"Pages 1077-1089"},"PeriodicalIF":19.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148400565","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}

{"title":"In Memoriam Robert A. Levine, MD","authors":"Philippe B. Bertrand MD, PhD,&nbsp;Mark D. Handschumacher BS,&nbsp;Judy W. Hung MD,&nbsp;Michael H. Picard MD,&nbsp;Leonardo Rodriguez MD,&nbsp;Ehud Schwammenthal MD,&nbsp;James D. Thomas MD,&nbsp;Pieter M. Vandervoort MD,&nbsp;Jonathan W. Weinsaft MD,&nbsp;Frank A. Flachskampf MD, PhD","doi":"10.1016/j.jcmg.2026.07.008","DOIUrl":"10.1016/j.jcmg.2026.07.008","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 9","pages":"Pages 1144-1149"},"PeriodicalIF":19.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148716935","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":"Going Beyond Tricuspid Regurgitation Reduction","authors":"João L. Cavalcante MD,&nbsp;Davide Margonato MD","doi":"10.1016/j.jcmg.2026.07.010","DOIUrl":"10.1016/j.jcmg.2026.07.010","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 9","pages":"Pages 1040-1042"},"PeriodicalIF":19.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148912198","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 Model Using Pre-Cancer Therapy Cardiac Magnetic Resonance Images to Predict Cancer Therapy-Related Cardiac Dysfunction","authors":"Christopher Yu MBBS, PhD,&nbsp;Mohammad Peikari PhD,&nbsp;Dina Labib MD, PhD,&nbsp;Christian P. Houbois MD,&nbsp;Chun-Po Steve Fan PhD,&nbsp;James A. White MD,&nbsp;Eitan Amir MD, PhD,&nbsp;Kate Hanneman MD, MPH,&nbsp;Bernd J. Wintersperger MD,&nbsp;Husam Abdel-Qadir MD, PhD,&nbsp;Chris McIntosh PhD,&nbsp;Paaladinesh Thavendiranathan MD, SM","doi":"10.1016/j.jcmg.2026.04.007","DOIUrl":"10.1016/j.jcmg.2026.04.007","url":null,"abstract":"<div><h3>Background</h3><div>Predicting risk of cancer therapy–related cardiac dysfunction (CTRCD) remains challenging.</div></div><div><h3>Objectives</h3><div>The purpose of this study was to assess if deep learning (DL) approaches using cardiac magnetic resonance (CMR) images before cancer therapy can predict subsequent CTRCD and compare them with clinical and conventional imaging models.</div></div><div><h3>Methods</h3><div>Women with HER2+ breast cancer receiving anthracyclines and trastuzumab from 3 prospective studies (Toronto, Canada: EMBRACE-MRI, SPARE-HF; and Calgary, Canada: CIROC) were included. Patients were assessed before cancer therapy, after anthracycline, and trimonthly with repeated echocardiography and CMR. CTRCD was defined according to CMR. The authors calculated the HFA-ICOS risk score and measured CMR and echocardiography volumetric and functional parameters. Deep convolutional neural network architectures were used with pre-cancer therapy CMR short-axis cine images to develop image-based DL models to predict CTRCD. The Toronto patients were used for model derivation and internal validation; the Calgary patients were used for external validation.</div></div><div><h3>Results</h3><div>A total of 229 patients (mean age 50.4 ± 9.7 years) were included: 176 in the internal (52 CTRCD events) development cohort and 53 in the external data set (14 CTRCD events). Our pre-cancer therapy CMR DL model demonstrated an AUC of 0.85 (95% CI: 0.69-0.97) and F1 score 0.69 (95% CI: 0.47-0.86) to predict CTRCD. On external validation, the DL model had an AUC of 0.80 (95% CI: 0.66-0.92) and F1 score of 0.55 (95% CI: 0.24-0.77). In comparison, the best-performing models using HFA-ICOS risk score, CMR, and echocardiographic parameters demonstrated, respectively, AUCs of 0.66 (95% CI: 0.53-0.75), 0.59 (95% CI: 0.41-0.73), 0.62 (95% CI: 0.44-0.78) and F1 scores of 0.56 (95% CI: 0.47-0.61), 0.20 (95% CI: 0.00-0.42) and 0.36 (95% CI: 0.12-0.62) to predict CTRCD.</div></div><div><h3>Conclusions</h3><div>A DL model using pre-cancer therapy CMR short-axis cines can predict future CTRCD risk better than clinical or manually quantified imaging models.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 9","pages":"Pages 1043-1054"},"PeriodicalIF":19.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148054563","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":"CT Perfusion vs FFR for Ischemia-Guided Revascularization","authors":"Ju Hyeon Kim MD, PhD,&nbsp;Do-Yoon Kang MD, PhD,&nbsp;Jung-Min Ahn MD, PhD,&nbsp;Seung-Whan Lee MD, PhD,&nbsp;Hyun-Sook Kim MD, PhD,&nbsp;Bong-Ki Lee MD, PhD,&nbsp;Sang Hyun Lee MD, PhD,&nbsp;Byoung Wook Choi MD, PhD,&nbsp;Dong Hyun Yang MD, PhD,&nbsp;Young-Hak Kim MD, PhD","doi":"10.1016/j.jcmg.2026.04.002","DOIUrl":"10.1016/j.jcmg.2026.04.002","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 9","pages":"Pages 1150-1152"},"PeriodicalIF":19.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147874328","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":"Optimal Reclassification of Aortic Aneurysms","authors":"Mohammed Abusafia MD,&nbsp;Shada Jadam MD,&nbsp;Susan Keen MD,&nbsp;Vidyasagar Kalahasti MD,&nbsp;Lifu Deng MS,&nbsp;Susan Ospina NP,&nbsp;Sana Sultana MD,&nbsp;Andrew Gaballa MD,&nbsp;Paul Schoenhagen MD,&nbsp;Michael Bolen MD,&nbsp;Brian P. Griffin MD,&nbsp;Patrick Vargo MD,&nbsp;Xiaoying Lou MD,&nbsp;Eric E. Roselli MD,&nbsp;Lars G. Svensson MD, PhD,&nbsp;Milind Y. Desai MD, MBA","doi":"10.1016/j.jcmg.2026.05.011","DOIUrl":"10.1016/j.jcmg.2026.05.011","url":null,"abstract":"<div><h3>Background</h3><div>Ascending aortopathy (AA) is largely asymptomatic but carries risk for death, dissection, or rupture. Typical guidelines approach of recommending surgery based on aortic diameters is limited, as most dissections occur at AA diameters &lt;5 cm.</div></div><div><h3>Objectives</h3><div>The authors compared transthoracic echocardiography (TTE) and gated contrast-enhanced (CE)-computed tomographic angiography (CTA) for AA assessment and evaluated the prognostic utility of indexed parameters (aortic diameter height index [AHI] and cross-sectional area to height ratio [CSAH]).</div></div><div><h3>Methods</h3><div>In 7,459 patients with AA (≥4 cm) undergoing both TTE and CTA, the authors assessed the concordance of aortic measurements and the prognostic value of absolute and indexed metrics for adverse outcomes (mortality, dissection, or rupture).</div></div><div><h3>Results</h3><div>Compared with CE-CTA, TTE underestimated aortic size (particularly for aneurysms ≥5 cm) in 58% of aortic roots and 37% of mid-ascending aortas. At 3.6 ± 3.6 years, there were 865 (11.6%) composite events (708 [9.5%] deaths, 173 aortic dissections [2.3%], and 12 ruptures [0.2%]). Addition of individual AA cutoffs provided incremental prognostic value for the composite endpoint (all <em>P</em> &lt; 0.001) as follows: 1) aortic diameter ≥5 cm (HR: 2.42; 95% CI: 1.77-2.99); 2) AHI &gt;3.20 cm/m (HR: 3.24; 95% CI: 2.22-4.17); and 3) CSAH ≥10 cm²/m (HR: 2.09; 95% CI: 1.55-2.39). In 5,213 unoperated patients, 63% and 86% events occurred at diameters &lt;5 cm and AHI ≤3.21 cm/m, respectively, whereas CSAH ≥10 cm²/m was associated with 53% events.</div></div><div><h3>Conclusions</h3><div>Indexed parameters, particularly CSAH, improve risk stratification beyond absolute diameters and highlight size-based differences in AA. CE-CTA–derived indices provide an individualized precision imaging-based approach to surgical decision-making.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"19 9","pages":"Pages 1094-1106"},"PeriodicalIF":19.0,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148432944","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}

{"title":"¹²⁴Iodine Evuzamitide Positron Emission Tomography in Patients With Established or Suspected Cardiac Amyloidosis.","authors":"Ahmad Masri, Israt Jahan, Derrick Gillan, Mohammad Alqabani, Austen Suits, Bryton Davis, Angelica T Mejia, Helena Raposo, Maros Ferencik, Eva Medvedova, Nadine Mallak","doi":"10.1016/j.jcmg.2026.08.005","DOIUrl":"10.1016/j.jcmg.2026.08.005","url":null,"abstract":"<p><strong>Background: </strong>¹²⁴I-evuzamitide is a pan-amyloid positron emission tomography (PET) radiotracer.</p><p><strong>Objectives: </strong>The aim of this open-label study was to assess the performance and safety of ¹²⁴I-evuzamitide PET/magnetic resonance imaging (MRI) in patients with known or suspected cardiac amyloidosis (CA).</p><p><strong>Methods: </strong>Consecutive patients with suspected or known CA were invited to participate in the trial and underwent imaging with ¹²⁴I-evuzamitide (mean administered activity 1.05 ± 0.02 mCi), using PET/MRI preferentially and PET/computed tomography as an alternative. A positive scan was defined visually as tracer uptake in the left ventricular myocardium greater than blood pool activity by 3 expert readers. Equivocal scans were prespecified to be classified as negative (except for inter-reader agreement).</p><p><strong>Results: </strong>A total of 126 patients (mean age: 71.6 ± 10.6 years, 76.2% men) underwent ¹²⁴I-evuzamitide PET/MRI (n = 123) or PET/CT (n = 3), of whom 87 (69%) received diagnoses of CA. All patients with CA had visually positive scans, and all patients without CA had visually negative scans by all 3 readers (100% sensitivity and specificity). There was disagreement on 5 patients, who were graded as having equivocal or negative scans (Fleiss's kappa = 0.94; none received a diagnosis of CA). Quantitatively, mean left ventricular/blood pool standardized uptake value ratio was 1.89 ± 0.29 and 0.91 ± 0.15 in patients with and without CA, respectively (P < 0.001). ¹²⁴I-evuzamitide was well tolerated, without significant tracer-related adverse events.</p><p><strong>Conclusions: </strong>¹²⁴I-evuzamitide PET provides excellent diagnostic accuracy in patients known or suspected to have CA and might provide a single upstream assessment for the presence or absence of CA. (Characterizing Iodine-124 Evuzumitide [AT-01] in Systemic Amyloidosis; NCT05758493).</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":19.0,"publicationDate":"2026-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148865052","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}