基于 ADVANCE 注册研究的回顾性分析:人工智能定量冠状动脉斑块容积在冠状动脉 CT 血管造影、FFR 和临床结局中的相互作用。

Interaction of AI-Enabled Quantitative Coronary Plaque Volumes on Coronary CT Angiography, FFR, and Clinical Outcomes: A Retrospective Analysis of the ADVANCE Registry.

机构信息

Department of Cardiology, North Tees and Hartlepool NHS Foundation Trust, Stockton-on-Tees, United Kingdom (J.D.).

Department of Radiology, University of British Columbia, Vancouver, Canada (J.D., J.L., V.S., I.G., R.R., G.T.).

出版信息

Circ Cardiovasc Imaging. 2024 Mar;17(3):e016143. doi: 10.1161/CIRCIMAGING.123.016143. Epub 2024 Mar 12.

Abstract

BACKGROUND

Luminal stenosis, computed tomography-derived fractional-flow reserve (FFR), and high-risk plaque features on coronary computed tomography angiography are all known to be associated with adverse clinical outcomes. The interactions between these variables, patient outcomes, and quantitative plaque volumes have not been previously described.

METHODS

Patients with coronary computed tomography angiography (n=4430) and one-year outcome data from the international ADVANCE (Assessing Diagnostic Value of Noninvasive FFR in Coronary Care) registry underwent artificial intelligence-enabled quantitative coronary plaque analysis. Optimal cutoffs for coronary total plaque volume and each plaque subtype were derived using receiver-operator characteristic curve analysis. The resulting plaque volumes were adjusted for age, sex, hypertension, smoking status, type 2 diabetes, hyperlipidemia, luminal stenosis, distal FFR, and translesional delta-FFR. Median plaque volumes and optimal cutoffs for these adjusted variables were compared with major adverse cardiac events, late revascularization, a composite of the two, and cardiovascular death and myocardial infarction.

RESULTS

At one year, 55 patients (1.2%) had experienced major adverse cardiac events, and 123 (2.8%) had undergone late revascularization (>90 days). Following adjustment for age, sex, risk factors, stenosis, and FFR, total plaque volume above the receiver-operator characteristic curve-derived optimal cutoff (total plaque volume >564 mm) was associated with the major adverse cardiac event/late revascularization composite (adjusted hazard ratio, 1.515 [95% CI, 1.093-2.099]; =0.0126), and both components. Total percent atheroma volume greater than the optimal cutoff was associated with both major adverse cardiac event/late revascularization (total percent atheroma volume >24.4%; hazard ratio, 2.046 [95% CI, 1.474-2.839]; <0.0001) and cardiovascular death/myocardial infarction (total percent atheroma volume >37.17%, hazard ratio, 4.53 [95% CI, 1.943-10.576]; =0.0005). Calcified, noncalcified, and low-attenuation percentage atheroma volumes above the optimal cutoff were associated with all adverse outcomes, although this relationship was not maintained for cardiovascular death/myocardial infarction in analyses stratified by median plaque volumes.

CONCLUSIONS

Analysis of the ADVANCE registry using artificial intelligence-enabled quantitative plaque analysis shows that total plaque volume is associated with one-year adverse clinical events, with incremental predictive value over luminal stenosis or abnormal physiology by FFR.

REGISTRATION

URL: https://www.clinicaltrials.gov; Unique identifier: NCT02499679.

摘要

背景

管腔狭窄、基于计算机断层扫描的血流储备分数(FFR)和冠状动脉计算机断层血管造影术(CCTA)上的高危斑块特征均与不良临床结局相关。这些变量、患者结局和定量斑块体积之间的相互作用以前尚未描述过。

方法

对来自国际 ADVANCE(评估非侵入性 FFR 在冠状动脉护理中的诊断价值)注册研究的接受冠状动脉计算机断层扫描(n=4430)和一年结局数据的患者进行人工智能驱动的定量冠状动脉斑块分析。使用受试者工作特征曲线分析得出冠状动脉总斑块体积和每种斑块亚型的最佳截断值。使用年龄、性别、高血压、吸烟状况、2 型糖尿病、高脂血症、管腔狭窄、远端 FFR 和跨病变 FFR 差值对所得斑块体积进行调整。比较这些调整变量的中位数斑块体积和最佳截断值与主要不良心脏事件、晚期血运重建、两者的复合终点以及心血管死亡和心肌梗死。

结果

一年时,55 例患者(1.2%)发生主要不良心脏事件,123 例患者(2.8%)接受晚期血运重建(>90 天)。在调整年龄、性别、危险因素、狭窄和 FFR 后,总斑块体积大于受试者工作特征曲线得出的最佳截断值(总斑块体积>564mm)与主要不良心脏事件/晚期血运重建复合终点相关(调整后的危险比,1.515[95%置信区间,1.093-2.099];=0.0126),以及两者的组成部分。总粥样斑块体积大于最佳截断值与主要不良心脏事件/晚期血运重建(总粥样斑块体积>24.4%;危险比,2.046[95%置信区间,1.474-2.839];<0.0001)和心血管死亡/心肌梗死(总粥样斑块体积>37.17%;危险比,4.53[95%置信区间,1.943-10.576];=0.0005)均相关。最佳截断值以上的钙化、非钙化和低衰减粥样斑块体积与所有不良结局相关,但在按中位数斑块体积分层的分析中,这种关系并未持续存在于心血管死亡/心肌梗死中。

结论

使用人工智能驱动的定量斑块分析对 ADVANCE 注册研究进行分析表明,总斑块体积与一年不良临床结局相关,与管腔狭窄或 FFR 异常生理相比具有增量预测价值。

注册

网址:https://www.clinicaltrials.gov;唯一标识符:NCT02499679。

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