心外膜脂肪组织CT放射线检查可改善冠状动脉钙化评分以外的急性冠状动脉综合征预测
Epicardial Adipose Tissue CT Radiomics Improves Acute Coronary Syndrome Prediction Beyond Coronary Artery Calcium Score.
摘要(中文译文)
确定基于非对比冠状动脉钙化（CAC）扫描得出的全局心外膜脂肪组织（EAT）影像组学特征，是否能在无 angina（心绞痛）人群中，超越传统危险因素（TRFs）和 Agatston 评分（AS），提高急性冠脉综合征（ACS）的预测能力。我们回顾性分析了 2020 年至 2016 年间接受 CAC 扫描的无心绞痛受试者 2020 例，其中 76 例患者在随访至 2023 年 12 月期间发生急性冠脉综合征（ACS）。基于 TRFs（年龄、性别、BMI、吸烟、糖尿病、高血压、血脂异常）和 Agatston 评分秩（ASR）进行一对一倾向评分匹配（PSM），产生 76 例 ACS 和 76 例匹配的非 ACS 受试者。在匹配队列中使用 5 折交叉验证构建影像组学模型，并在整个未匹配队列中进行测试。统计检验包括 AUC 比较。PSM 有效减轻了 TRFs 和 ASR 的差异。影像组学模型在训练集和匹配测试集中的 AUC 分别为 0.91 ± 0.01 和 0.89 ± 0.03，在未匹配队列中为 0.89 ± 0.03。在匹配和未匹配队列中，影像组学评分均显著优于 TRF 和 CAC 模型对 ACS 的预测（< 0.001）。来自常规 CAC 扫描的全局 EAT 影像组学表型在无心绞痛人群中超越了 TRFs 和 AS，改善了 ACS 风险分层。与 CCTA 上的 PCAT 相比，我们的简单方法似乎适用于使用预防性 CAC 扫描的大规模应用。
Abstract
: To determine if global epicardial adipose tissue (EAT) radiomics, derived from non-contrast coronary artery calcium (CAC) scans, improves acute coronary syndrome (ACS) prediction beyond traditional risk factors (TRFs) and Agatston score (AS) in individuals without angina. We retrospectively analyzed 2020 subjects without angina who underwent CAC scans from 2016 to 2019, among whom 76 patients developed acute coronary syndrome (ACS) during a follow-up period until December 2023. One-to-one propensity score matching (PSM) based on TRFs (age, sex, BMI, smoking, diabetes, hypertension, dyslipidemia) and Agatston score ranks (ASR) created 76 ACS and 76 matched non-ACS subjects. A radiomics model was built using 5-fold cross-validation on the matched cohort and tested on the entire unmatched cohort. Statistical tests included AUC comparison. : PSM effectively mitigated disparities of TRFs and ASR. The radiomics model achieved AUCs of 0.91 ± 0.01 and 0.89 ± 0.03 for the training and matched test sets, respectively, and 0.89 ± 0.03 on the unmatched cohort. The radiomics score significantly improved ACS prediction over TRF and CAC models ( < 0.001) in both matched and unmatched cohorts. : Global EAT radiomic phenotypes from conventional CAC scan improve ACS risk stratification beyond TRFs and AS in individuals without angina. In contrast to PCAT on CCTA, our simple approach appears to be suitable for large-scale applications using preventative CAC scans.
如何引用
AMA
Eric Po-Yu Huang, Yi-Chun Chen, Ming-Ting Wu, Jyh-Cheng Chen. Epicardial Adipose Tissue CT Radiomics Improves Acute Coronary Syndrome Prediction Beyond Coronary Artery Calcium Score.. Diagnostics (Basel, Switzerland). 2026; doi:10.3390/diagnostics16091270.
APA
Eric Po-Yu Huang, Yi-Chun Chen, Ming-Ting Wu, Jyh-Cheng Chen (2026). Epicardial Adipose Tissue CT Radiomics Improves Acute Coronary Syndrome Prediction Beyond Coronary Artery Calcium Score.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16091270
GB/T 7714
Eric Po-Yu Huang, Yi-Chun Chen, Ming-Ting Wu, Jyh-Cheng Chen. Epicardial Adipose Tissue CT Radiomics Improves Acute Coronary Syndrome Prediction Beyond Coronary Artery Calcium Score.[J]. Diagnostics (Basel, Switzerland), 2026 doi:10.3390/diagnostics16091270.
在 PubMed增强版 阅读全文
翻译全文 · AI 文献问答 · PDF 原文下载 · 引用导出