AI-Quantitative CT Coronary Plaque Features Associate With a Higher Relative Risk in Women: CONFIRM2 Registry.

IF 6.5 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Circulation: Cardiovascular Imaging Pub Date : 2025-06-01 Epub Date: 2025-03-31 DOI:10.1161/CIRCIMAGING.125.018235
Gudrun M Feuchtner, Pietro G Lacaita, Jeroen J Bax, Fatima Rodriguez, Rine Nakanishi, Gianluca Pontone, Saima Mushtaq, Ronny R Buechel, Christoph Gräni, Amit R Patel, Cristiane C Singulane, Andrew D Choi, Mouaz Al-Mallah, Daniele Andreini, Ronald P Karlsberg, Geoffrey Cho, Carlos E Rochitte, Mirvat Alasnag, Ashraf Hamdan, Filippo Cademartiri, Erica Maffei, Hugo Marques, Pedro M Gonçalves Pereira, 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 Nicola De Cecco, Borek Foldyna, Jan Michael Brendel, Victor Y Cheng, Kelley Branch, Marcio Bittencourt, Sabha Bhatti, Venkateshwar Polsani, George Wesbey, Rhanderson Cardoso, Ron Blankstein, Augustin Delago, Amit Pursnani, Amro Alsaid, Stephen Bloom, Vasileios Kamperidis, Fabian Barbieri, Melissa Aquino, Ibrahim Danad, Alexander van Rosendael
{"title":"AI-Quantitative CT Coronary Plaque Features Associate With a Higher Relative Risk in Women: CONFIRM2 Registry.","authors":"Gudrun M Feuchtner, Pietro G Lacaita, Jeroen J Bax, Fatima Rodriguez, Rine Nakanishi, Gianluca Pontone, Saima Mushtaq, Ronny R Buechel, Christoph Gräni, Amit R Patel, Cristiane C Singulane, Andrew D Choi, Mouaz Al-Mallah, Daniele Andreini, Ronald P Karlsberg, Geoffrey Cho, Carlos E Rochitte, Mirvat Alasnag, Ashraf Hamdan, Filippo Cademartiri, Erica Maffei, Hugo Marques, Pedro M Gonçalves Pereira, 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 Nicola De Cecco, Borek Foldyna, Jan Michael Brendel, Victor Y Cheng, Kelley Branch, Marcio Bittencourt, Sabha Bhatti, Venkateshwar Polsani, George Wesbey, Rhanderson Cardoso, Ron Blankstein, Augustin Delago, Amit Pursnani, Amro Alsaid, Stephen Bloom, Vasileios Kamperidis, Fabian Barbieri, Melissa Aquino, Ibrahim Danad, Alexander van Rosendael","doi":"10.1161/CIRCIMAGING.125.018235","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Coronary plaque features are imaging biomarkers of cardiovascular risk, but less is known about sex-specific patterns in their prognostic value. This study aimed to define sex differences in the coronary atherosclerotic phenotypes assessed by artificial intelligence-based quantitative computed tomography (AI-QCT) and the associated risk of major adverse cardiovascular events (MACEs).</p><p><strong>Methods: </strong>Global multicenter registry including symptomatic patients with suspicion of coronary artery disease referred for coronary computed tomography angiography. AI-QCT analyzed 16 coronary artery disease features. The primary end point was MACE defined as death, myocardial infarction, late revascularization, cerebrovascular events, unstable angina, and congestive heart failure.</p><p><strong>Results: </strong>Among 3551 patients (mean age, 59±12 years; 49.5% women), MACE occurred in 3.2% of women and 6.1% of men during an average follow-up of 4.8±2.2 years. The AI-QCT features total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume were significantly higher in men (<i>P</i><0.001), and high-risk plaques were more prevalent (9.2% versus 2.5%; <i>P</i><0.0001). Independent of age and cardiovascular risk factors, the AI-QCT-derived features of total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume conferred a higher relative risk of MACE in women than men. For every 50-mm<sup>3</sup> increase in total plaque volume, relative risk increased by 17.7% (95% CI, 1.12-1.24) in women versus 5.3% (95% CI, 1.03-1.07) in men (<i>P</i><sub>interaction</sub><0.001); for noncalcified plaque, relative risk increased by 27.1% (95% CI, 1.17-1.38) versus 11.6% (95% CI, 1.08-1.15; <i>P</i><sub>interaction</sub>=0.0015); and for calcified plaque, relative risk increased by 22.9% (95% CI, 1.14-1.33) versus 5.4% (95% CI, 1.01-1.10; <i>P</i><sub>interaction</sub>=0.0012), respectively. Similarly, for percentage atheroma volume, the risk was higher in women. The findings remained unchanged when restricted to a secondary composite end point (death and myocardial infarction).</p><p><strong>Conclusions: </strong>The AI-QCT plaque features, total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume, conferred a higher relative MACE risk in women and may prompt more aggressive antiatherosclerotic therapy and reinforced preventive interventions.</p><p><strong>Registration: </strong>URL: https://www.clinicaltrials.gov; Unique identifier: NCT04279496.</p>","PeriodicalId":10202,"journal":{"name":"Circulation: Cardiovascular Imaging","volume":" ","pages":"e018235"},"PeriodicalIF":6.5000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12173162/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Circulation: Cardiovascular Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1161/CIRCIMAGING.125.018235","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/31 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Coronary plaque features are imaging biomarkers of cardiovascular risk, but less is known about sex-specific patterns in their prognostic value. This study aimed to define sex differences in the coronary atherosclerotic phenotypes assessed by artificial intelligence-based quantitative computed tomography (AI-QCT) and the associated risk of major adverse cardiovascular events (MACEs).

Methods: Global multicenter registry including symptomatic patients with suspicion of coronary artery disease referred for coronary computed tomography angiography. AI-QCT analyzed 16 coronary artery disease features. The primary end point was MACE defined as death, myocardial infarction, late revascularization, cerebrovascular events, unstable angina, and congestive heart failure.

Results: Among 3551 patients (mean age, 59±12 years; 49.5% women), MACE occurred in 3.2% of women and 6.1% of men during an average follow-up of 4.8±2.2 years. The AI-QCT features total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume were significantly higher in men (P<0.001), and high-risk plaques were more prevalent (9.2% versus 2.5%; P<0.0001). Independent of age and cardiovascular risk factors, the AI-QCT-derived features of total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume conferred a higher relative risk of MACE in women than men. For every 50-mm3 increase in total plaque volume, relative risk increased by 17.7% (95% CI, 1.12-1.24) in women versus 5.3% (95% CI, 1.03-1.07) in men (Pinteraction<0.001); for noncalcified plaque, relative risk increased by 27.1% (95% CI, 1.17-1.38) versus 11.6% (95% CI, 1.08-1.15; Pinteraction=0.0015); and for calcified plaque, relative risk increased by 22.9% (95% CI, 1.14-1.33) versus 5.4% (95% CI, 1.01-1.10; Pinteraction=0.0012), respectively. Similarly, for percentage atheroma volume, the risk was higher in women. The findings remained unchanged when restricted to a secondary composite end point (death and myocardial infarction).

Conclusions: The AI-QCT plaque features, total plaque volume, noncalcified plaque, calcified plaque, and percentage atheroma volume, conferred a higher relative MACE risk in women and may prompt more aggressive antiatherosclerotic therapy and reinforced preventive interventions.

Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04279496.

人工智能定量CT冠状动脉斑块特征与女性较高的相对风险相关:confirm2登记。
背景:冠状动脉斑块特征是心血管风险的成像生物标志物,但对其预后价值的性别特异性模式知之甚少。本研究旨在通过基于人工智能的定量冠状动脉计算机断层扫描(AI-QCT)评估冠状动脉粥样硬化表型的性别差异和主要不良心血管事件(MACE)的相关风险。方法:全球多中心登记(CONFIRM2),包括疑似CAD的症状患者转介冠状动脉CTA。AI-QCT分析了16个CAD特征。主要终点为MACE,定义为死亡、心肌梗死、晚期血运重建、脑血管事件、不稳定型心绞痛和充血性心力衰竭。结果:在3551例患者(平均年龄59±12岁,女性49.5%)中,平均随访4.8±2.2年,MACE发生率为女性3.2%,男性6.1%。AI-QCT显示的斑块总体积(TPV)、非钙化斑块(NCP)、钙化斑块(CP)和动脉粥样硬化百分比体积(PAV)在男性中明显更高。结论:AI-QCT显示的斑块特征TPV、NCP、CP和PAV在女性中具有更高的MACE风险,可能促使更积极的抗动脉粥样硬化治疗和加强预防干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
6.30
自引率
2.70%
发文量
225
审稿时长
6-12 weeks
期刊介绍: Circulation: Cardiovascular Imaging, an American Heart Association journal, publishes high-quality, patient-centric articles focusing on observational studies, clinical trials, and advances in applied (translational) research. The journal features innovative, multimodality approaches to the diagnosis and risk stratification of cardiovascular disease. Modalities covered include echocardiography, cardiac computed tomography, cardiac magnetic resonance imaging and spectroscopy, magnetic resonance angiography, cardiac positron emission tomography, noninvasive assessment of vascular and endothelial function, radionuclide imaging, molecular imaging, and others. Article types considered by Circulation: Cardiovascular Imaging include Original Research, Research Letters, Advances in Cardiovascular Imaging, Clinical Implications of Molecular Imaging Research, How to Use Imaging, Translating Novel Imaging Technologies into Clinical Applications, and Cardiovascular Images.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信