JACC. Cardiovascular imaging最新文献

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Imaging Abnormalities in HFpEF: Do They Truly Reflect Pathophysiology? HFpEF的影像学异常是否真实反映病理生理？

IF 15.2 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC. Cardiovascular imaging

Pub Date : 2026-01-01 DOI: 10.1016/j.jcmg.2025.12.001

Thomas H. Marwick MBBS, PhD, MPH (Executive Editor, JACC: Cardiovascular Imaging), Y. Chandrashekhar MD, DM (Editor-in-Chief, JACC: Cardiovascular Imaging)

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Predictors and Prognostic Implications of Progressive Systemic Ventricular Dysfunction in Adults With Fontan Palliation Fontan姑息治疗成人进行性全身性心室功能障碍的预测因素和预后意义。

IF 15.2 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC. Cardiovascular imaging

Pub Date : 2026-01-01 DOI: 10.1016/j.jcmg.2025.08.008

Ali Ali MD, William R. Miranda MD, Christopher Francois MD, Sara ElZalabany MBBCh, Amr Moustafa MBBCh, Heidi M. Connolly MD, Alexander C. Egbe MD, MPH, MS

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Histology-Validated Comparison of Ultra-High-Resolution Photon-Counting Detector CT and Energy-Integrating Detector CT for Coronary Plaque Assessment 超高分辨率光子计数检测器CT和能量积分检测器CT在冠状动脉斑块评估中的组织学验证比较。

IF 15.2 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC. Cardiovascular imaging

Pub Date : 2026-01-01 DOI: 10.1016/j.jcmg.2025.09.015

Yue Sun BS , Cheng Xu MD , Jiayue Huang PhD , Xi Zhao MS , Xianbo Yu MS , Mengzhe Lyu PhD , Li Li PhD , Zhen Chen BS , Naili Wang BS , Christianne Leidecker PhD , Rozemarijn Vliegenthart MD, PhD , Shengxian Tu PhD , Yining Wang MD

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Ultrasomics in AMI AMI的超声组学

IF 15.2 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC. Cardiovascular imaging

Pub Date : 2026-01-01 DOI: 10.1016/j.jcmg.2025.09.024

Can Xu MD, PhD, Xingyue Feng MD, Huaping Hu MD, Dongjin Wang MD, PhD

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Coronary CTA vs Stress Testing in Stable Angina With Moderate Renal Dysfunction 稳定型心绞痛伴中度肾功能不全的冠状动脉CTA与压力测试：来自PROMISE试验的见解

IF 15.2 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC. Cardiovascular imaging

Pub Date : 2026-01-01 DOI: 10.1016/j.jcmg.2025.08.002

Vignesh Chidambaram MD, MPH, Amudha Kumar MD, Munthir Mansour MD, Ryan Pohlkamp MD, Marie Gilbert Majella MD, Joshua Mueller MD, Jawahar L. Mehta MD, PhD, Mark G. Rabbat MD, Armin Arbab-Zadeh MD, PhD, MPH, Ron Blankstein MD, Roger S. Blumenthal MD, Pamela S. Douglas MD, Subhi J. Al’Aref MD

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Prevalence and Prognostic Value of Incidentally Detected Coronary Artery Calcium Using Artificial Intelligence Among Individuals With Immune-Mediated Inflammatory Diseases 人工智能辅助检测冠状动脉钙在免疫介导性炎症性疾病患者中的患病率及预后价值

IF 15.2 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC. Cardiovascular imaging

Pub Date : 2026-01-01 DOI: 10.1016/j.jcmg.2025.08.020

Brittany N. Weber MD, PhD , David W. Biery AB , Milena Petranovic MD , Stephanie A. Besser MSAS, MSPA , Daniel M. Huck MD, MPH , Arthur Shiyovich MD , Rhanderson Cardoso MD , Adam N. Berman MD, MPH , Camila V. Blair MD , Nayruti Trivedi MS , Micheal S. Garshick MD , Joseph Merola MD , Karen Costenbader MD , Leslee J. Shaw PhD , Khurram Nasir MD, MPH , Katherine P. Liao MD , Marcelo F. Di Carli MD , Ron Blankstein MD

Background

Coronary artery calcium (CAC) scoring is strongly associated with cardiovascular (CV) events among the general population; however, its prognostic value among individuals with immune-mediated inflammatory diseases (IMIDs) is not well characterized.

Objectives

This study aims to assess the prevalence of CAC derived from routine chest computed tomography (CT) using a validated artificial intelligence (AI) algorithm and its association with adverse CV events among those with IMIDs.

Methods

The authors studied a retrospective cohort of all patients 40 to 70 years of age with a diagnosis of systemic lupus erythematosus, rheumatoid arthritis, or psoriatic disease, and no prior atherosclerotic cardiovascular disease who underwent chest CT at 2 medical centers in Boston, Massachusetts, USA, from 2000 to 2023 as part of routine care. The presence and severity of CAC was determined using a validated AI methodology. Cox proportional hazards modeling was used to assess the association of CAC-AI categories (CAC-AI = 0, CAC-AI = 1-99, and CAC-AI ≥100) with all-cause mortality and major adverse cardiovascular events (MACE) (nonfatal myocardial infarction, coronary revascularization, nonfatal stroke, or CV mortality). All models were adjusted for age, sex, and traditional CV risk factors.

Results

In total, 2,546 individuals with IMIDs (median age: 59 years [Q1-Q3: 53-65 years]; 1,694 [66.5%] women) were included with a median follow-up of 8.1 years. Among this cohort, 53% had CAC-AI >0 while only 6.0% were on a statin. A low burden of CAC (CAC-AI = 1-99) was associated with an increased risk of all-cause mortality (adjusted HR: 1.41; P = 0.010) and MACE (adjusted HR: 2.05; P < 0.001) with even greater risk observed among individuals with CAC-AI ≥100 (adjusted HR: 2.45; P < 0.001) and MACE (adjusted HR: 3.24; P < 0.001).

Conclusions

Among those with IMIDs, incidental CAC-AI was highly prevalent and significantly associated with both all-cause mortality and MACE. These findings suggest that CAC-AI may provide important prognostic information, allowing for improved risk stratification and treatment within an already high-risk and undertreated population.

背景：在普通人群中，冠状动脉钙（CAC）评分与心血管（CV）事件密切相关；然而，其在免疫介导性炎症性疾病（IMIDs）患者中的预后价值尚未得到很好的表征。目的：本研究旨在利用一种经过验证的人工智能（AI）算法评估常规胸部计算机断层扫描（CT）中CAC的患病率及其与IMIDs患者不良CV事件的关系。方法：作者研究了一项回顾性队列研究，研究对象为年龄在40 - 70岁之间，诊断为系统性红斑狼疮、类风湿性关节炎或银屑病，且既往无动脉粥样硬化性心血管疾病的患者，这些患者于2000年至2023年在美国马萨诸塞州波士顿的2个医疗中心接受了胸部CT检查，作为常规护理的一部分。使用经过验证的人工智能方法确定CAC的存在和严重程度。采用Cox比例风险模型评估CAC-AI类别（CAC-AI = 0、CAC-AI = 1-99和CAC-AI≥100）与全因死亡率和主要不良心血管事件（MACE）（非致死性心肌梗死、冠状动脉血运重建术、非致死性卒中或CV死亡率）的相关性。所有模型都根据年龄、性别和传统的心血管危险因素进行了调整。结果共纳入2546例IMIDs患者（中位年龄59岁[Q1-Q3: 53-65岁]，女性1694例[66.5%]），中位随访8.1年。在该队列中，53%的患者患有CAC-AI，而只有6.0%的患者服用他汀类药物。低CAC负担（CAC- ai = 1-99）与全因死亡（校正HR: 1.41, P = 0.010）和MACE（校正HR: 2.05, P < 0.001）的风险增加相关，且CAC- ai≥100（校正HR: 2.45, P < 0.001）和MACE（校正HR: 3.24, P < 0.001）的风险更大。结论在IMIDs患者中，偶发CAC-AI非常普遍，并与全因死亡率和MACE显著相关。这些发现表明，CAC-AI可能提供重要的预后信息，允许在已经高风险和治疗不足的人群中改进风险分层和治疗。

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Diagnosis of Mitral Valve Prolapse Using Artificial Intelligence 用人工智能诊断二尖瓣脱垂：准备好了吗？

IF 15.2 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC. Cardiovascular imaging

Pub Date : 2026-01-01 DOI: 10.1016/j.jcmg.2025.09.002

David Messika-Zeitoun MD, PhD , Pascal Theriault-Lauzier MD, PhD , Ian G. Burwash MD

引用次数: 0

Straining the Limits of Sudden Death Risk Stratification 突发性死亡风险分层的极限：HCM的特征跟踪。

IF 15.2 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC. Cardiovascular imaging

Pub Date : 2026-01-01 DOI: 10.1016/j.jcmg.2025.09.017

Milind Y. Desai MD, MBA, Susan K. Keen MD

引用次数: 0

Opportunistic Screening for Subclinical CAD in Immune-Inflammatory Diseases 在免疫炎性疾病中进行亚临床CAD的机会性筛查：没有时间浪费了。

IF 15.2 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC. Cardiovascular imaging

Pub Date : 2026-01-01 DOI: 10.1016/j.jcmg.2025.10.007

Leandro Slipczuk MD, PhD , Deepak L. Bhatt MD, MPH, MBA

引用次数: 0

Molecular Imaging of Fibroblast Activation Protein on PET/MRI 成纤维细胞活化蛋白在PET/MRI上的分子成像：与颈动脉溃疡斑块和脑血管危险因素的关系。

IF 15.2 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC. Cardiovascular imaging

Pub Date : 2026-01-01 DOI: 10.1016/j.jcmg.2025.09.020

Fan Fu MD, PhD , Jun Zhu MD, PhD , Hongping Meng MD , Xiaoyue Chen MD, PhD , Dong Lin MD, PhD , Yijun Cheng MD, PhD , Xiaozhe Zhang MD , Hanbing Shang MD, PhD , Biao Li MD, PhD

Background

Increased expression of fibroblast activation protein (FAP) is associated with coronary atherosclerotic plaques. However, the association of FAP with carotid plaques remains unknown.

Objectives

The objective of this was study was to assess the prevalence, distribution, and intensity of FAP uptake, and its association with carotid ulcerated plaque detected by digital subtraction angiography (DSA) and cerebrovascular risk factors.

Methods

A total of 52 atherosclerotic patients (82 plaques) with significant stenosis in the carotid artery who underwent both ⁶⁸Ga-FAPI-04 positron emission tomography/magnetic resonance imaging and DSA within 1 week were prospectively enrolled. Correlations between the fibroblast activation protein inhibitor (FAPI) uptake in carotid plaques and ulcerated plaque detected by DSA were assessed. Risk factors for ulcerative plaque were assessed by multivariate logistical regression, and the predictive value of ulcerative plaque was analyzed. Furthermore, an analysis was conducted on the association between FAPI uptake in plaques and severe stenosis, and cerebrovascular risk factors.

Results

High focal plaque FAPI uptake was recorded in 35 of 82 plaques, of which 18 were carotid ulcerative plaques. The FAPI uptake, focal maximum standardized uptake value, and FAPI-derived target-to-background ratio (TBR) were significantly greater in ulcerated plaques than in nonulcerated plaques (all P < 0.001). In the multivariate analysis, the FAPI+ uptake (P = 0.002) and FAPI-derived TBR (P < 0.001) independently predicted ulcerated plaques. Among the cerebrovascular risk factors, the FAPI-derived TBR was significantly associated with older age and past cerebrovascular events (P < 0.001). In per patient analysis, the focal maximum standardized uptake value (P = 0.004) and FAPI-derived TBR (P = 0.001) were greater in higher-risk patients than in lower-risk patients.

Conclusions

⁶⁸Ga-FAPI-04 positron emission tomography/magnetic resonance imaging identifies FAPI uptake and is associated with ulcerated plaques. FAPI+ plaques are also associated with cerebrovascular risk factors.

背景：成纤维细胞活化蛋白（FAP）表达增加与冠状动脉粥样硬化斑块有关。然而，FAP与颈动脉斑块的关系尚不清楚。目的：本研究的目的是评估FAP摄取的患病率、分布和强度，以及它与数字减影血管造影（DSA）检测到的颈动脉溃疡斑块和脑血管危险因素的关系。方法：前瞻性纳入52例颈动脉明显狭窄的动脉粥样硬化患者（82个斑块），均在1周内行68Ga-FAPI-04正电子发射断层扫描/磁共振成像和DSA。评估颈动脉斑块中成纤维细胞活化蛋白抑制剂（FAPI）摄取与DSA检测的溃疡斑块之间的相关性。采用多变量logistic回归评估溃疡斑块的危险因素，并分析溃疡斑块的预测价值。此外，还分析了斑块和严重狭窄的FAPI摄取与脑血管危险因素之间的关系。结果：82个斑块中有35个斑块出现高局灶性斑块FAPI摄取，其中18个为颈动脉溃疡斑块。溃疡斑块的FAPI摄取、病灶最大标准化摄取值和FAPI衍生的靶背景比（TBR）显著高于非溃疡斑块（均P < 0.001）。在多变量分析中，FAPI+摄取（P = 0.002）和FAPI衍生的TBR （P < 0.001）独立预测溃疡斑块。在脑血管危险因素中，fapi衍生的TBR与年龄和既往脑血管事件显著相关（P < 0.001）。在每例患者分析中，高危患者的局灶最大标准化摄取值（P = 0.004）和fapi衍生的TBR （P = 0.001）高于低危患者。结论：68Ga-FAPI-04正电子发射断层扫描/磁共振成像识别FAPI摄取并与溃疡斑块相关。FAPI+斑块也与脑血管危险因素相关。

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