何付权 李亚飞 杨嘉 刘晓强 朱磊

    【摘要】 目的：探究人工智能(AI)辅助冠脉CT血管成像(CTA)“双低”成像诊断冠状动脉病变的可行性。方法：选取2022年7月—2023年6月于上海交通大学附属第一人民医院就诊的116例疑似冠状动脉病变患者，所有患者均行冠脉CTA“双低”成像诊断，图像均经医生诊断和AI辅助诊断，比较两种方式的诊断时间及对图像质量评估结果，以选择性冠状动脉造影术(CAG)结果为金标准，比较两种方式对冠状动脉病变的诊断价值。以医生诊断结果为标准，采用Kappa检验分析AI辅助诊断与医生诊断对冠状动脉狭窄程度、冠状动脉斑块诊断的一致性。结果：AI组诊断时间短于医生组，图像评优率高于医生组(P0.05)；Kappa检验结果显示，医生组与AI组对冠状动脉狭窄程度、冠状动脉斑块诊断的Kappa值分别为0.954、0.922，具有高度一致性。结论：AI辅助冠脉CTA“双低”成像对冠状动脉病变有较高的诊断价值，能显著缩短冠状动脉病变的诊断时间，可作为医生诊断冠状动脉病变的有效辅助工具。

    【关键词】 冠状动脉病变 人工智能 冠脉CT血管成像 辅助诊断 可行性

    Feasibility Study of Artificial Intelligence-assisted Coronary CTA Imaging under "Double Low Scheme" in the Diagnosis of Coronary Artery Lesion/HE Fuquan， LI Yafei， YANG Jia， LIU Xiaoqiang， ZHU Lei. //Medical Innovation of China， 2024， 21(13)： -134

    [Abstract] Objective： To explore the feasibility of artificial intelligence (AI)-assisted coronary CT angiography (CTA) imaging under "double low scheme" in the diagnosis of coronary artery lesion. Method： A total of 116 patients with suspected coronary artery lesion in the First People's Hospital Affiliated to Shanghai Jiao Tong University from July 2022 to June 2023 were selected. All patients underwent coronary CTA imaging diagnosis under "double low scheme". The images were diagnosed by doctors and AI-assisted diagnosis. The diagnosis time and image quality assessment results of the two methods were compared. Selective coronary angiography (CAG) result was used as the gold standard to compare the diagnostic value of the two methods on coronary artery disease. Based on the doctor's diagnosis result ......