现代科学仪器2024，Vol.41Issue(4)：143-148,6.
基于AI的CT-FFR在胸痛胸闷疑似冠心病患者诊断中的应用价值
The value of AI-based CT-FFR in the diagnosis of patients with chest pain and chest tightness suspected coronary artery disease
摘要
Abstract
Objective:To explore the value of artificial intelligence(AI)-based CT angiographic flow reserve fraction(CT-FFR)in the differential diagnosis of patients with chest pain and suspected coronary artery disease.Methods:Sixty patients with suspected coronary artery disease in our hospital were selected from January 2019 to January 2024 to analyze the diagnostic value of AI-based CT-FFR on patients with chest pain and chest tightness suspected coronary artery disease,using ICA test results as the gold standard.Results:The accuracy of AI-based CT-FFR for diagnosing suspected coronary artery disease patients was 88.33%,sensitivity was 93.33%,specificity was 73.33%,and AUC was 0.849(95%CI:0.714-0.985).Conclusion:AI-based CT-FFR technology has high diagnostic value for patients with chest pain and chest tightness suspected coronary artery disease.关键词
冠心病/胸痛/人工智能/冠状动脉CT血管造影/血流储备分数Key words
Coronary artery disease/Chest pain/AI/CCTA/CT-FFR引用本文复制引用
朱先清,刘云峰,王宝春,王怡,胡茂能,马天宇,梁有峰..基于AI的CT-FFR在胸痛胸闷疑似冠心病患者诊断中的应用价值[J].现代科学仪器,2024,41(4):143-148,6.基金项目
2021年度高校科学研究项H立项的通知编号:KJ2021A0247 （）
