冠状动脉钙化评分在评估冠状动脉疾病中的不足:呼吁转向高分辨率CT冠状动脉成像

IF 1.9 Q3 PERIPHERAL VASCULAR DISEASE
Jonathan Mokhtar , Mohammad Albaree , Virginia Battistin , Mohamed Asbaita , Fatemeh Akbarpoor , Jeyaseelan Lakshmanan , Hassan El-Tamimi
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引用次数: 0

摘要

背景和目的冠状动脉钙(CAC)评分是评估冠状动脉疾病(CAD)的一种越来越多采用的非侵入性方法。然而,与有创冠状动脉造影(ICA)相比,其诊断可靠性仍存在争议。本研究以ICA作为参考,评价CAC评分在预测CAD中的诊断性能。方法回顾性分析2018年至2024年期间接受冠状动脉ct血管造影(CCTA)并进行CAC评分和ICA的成年人。梗阻性CAD定义为ICA狭窄≥50%。根据CAC评分对患者进行分层:0(1组)、1 - 399(2组)和≥400(3组)。采用卡方分析评估CAC评分与ICA评分的差异。采用R 4.4.0计算CAC对ICA的敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)。结果110例患者(平均年龄53±10岁;(86.4%男性),1组患者中梗阻性CAD的发生率为25%,2组为56%,3组为79% (χ2 = 14.21, p <;0.001)。CAC的敏感性为91.2%,特异性为63.2%,PPV为92.2%,NPV为60%。结论:虽然CAC评分为400或更高强烈预测明显的CAD,但得分为0或中间值不能可靠地排除阻塞性疾病。这些发现重申CAC评分是一种有用的分层工具,但应谨慎解释,特别是在高危患者中,并在适当时用ICA证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Inadequacy of coronary calcium scoring in evaluating coronary artery disease: A call to shifting to high-resolution CT coronary imaging

Inadequacy of coronary calcium scoring in evaluating coronary artery disease: A call to shifting to high-resolution CT coronary imaging

Background and aims

Coronary artery calcium (CAC) scoring is an increasingly adopted, non-invasive modality for assessing coronary artery disease (CAD). However, its diagnostic reliability in comparison to invasive coronary angiography (ICA) remains controversial. This study evaluated the diagnostic performance of CAC scoring in predicting CAD using ICA as the reference.

Methods

Adults who underwent both coronary computed tomography angiography (CCTA) with CAC scoring and ICA within a three-month interval were retrospectively analyzed between 2018 and 2024. Obstructive CAD was defined as ≥ 50% stenosis on ICA. Patients were stratified by CAC scores: 0 (group 1), 1–399 (group 2), and ≥400 (group 3). Chi-square analysis was utilized to assess the differences in CAC scores compared to ICA. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of CAC against ICA were all calculated using R version 4.4.0.

Results

Among 110 patients (mean age 53 ± 10; 86.4% males), obstructive CAD was found in 25% of patients in group 1, 56% of patients in group 2, and 79% of patients in group 3 (χ2 = 14.21, p < 0.001). CAC demonstrated a sensitivity of 91.2%, specificity of 63.2%, a PPV of 92.2%, and an NPV of 60%.

Conclusion

While a CAC score of 400 or higher strongly predicts significant CAD, scores of zero or intermediate values fail to exclude obstructive disease reliably. These findings reaffirm that CAC scoring is a useful stratification tool but should be interpreted with caution, particularly in high-risk patients, and confirmed with ICA when appropriate.
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