Application of AI diagnostic system in the evaluation of CHD patients in high-altitude areas
10.3969/j.issn.1671-8348.2024.05.017
- VernacularTitle:冠状动脉AI诊断系统在高海拔地区CHD患者评估中的应用价值
- Author:
Xueyan WANG
1
;
Haihua BAO
;
Shengbao WEN
;
Yuntai CAO
;
Weixia LI
;
Mei YAN
Author Information
1. 青海大学附属医院医学影像中心,西宁 810000
- Keywords:
artificial intelligence;
high altitude;
coronary artery;
CT angiography;
hemodynamics
- From:
Chongqing Medicine
2024;53(5):733-737
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the application of diagnostic system with artificial intelligence(AI)in the evaluation of patients with coronary heart disease(CHD)at high altitude.Methods A total of 318 pa-tients underwent coronary CT angiography(CTA)at the hospital from January to December 2022 were pro-spectively collected.According to the altitude gradient,the patients were divided into the 2 000-3 000 m group and>3 000 m group.Coronary angiography(CAG)was used as the gold standard to verify the diag-nostic performance of AI diagnostic system.Coronary artery diagnosis system with AI technology and CT de-rived fractional flow reserve(CT-FFR)measurement system were used to evaluate the plaque structure char-acteristics and hemodynamic changes in the two groups of patients.Results Calcified plaques and vulnerable plaques in the>3 000 m group were more than those in the 2 000-3 000 m group(χ2=3.976,6.482,P= 0.046,0.011).The incidence of multi-vessel coronary artery disease,moderate stenosis,severe stenosis and complete occlusion in the>3 000 m group was higher than that in the 2 000-3 000 m group,and the inci-dence of single-vessel coronary artery disease and mild stenosis in the 2 000-3 000 m group was higher than that in the>3 000 m group(P<0.05).The incidence of CT-FFR≤0.80 and<0.70 in the>3 000 m group was higher than that in the 2 000-3 000 m group(χ2=4.782,28.118,P=0.029,<0.001).The comparison with the gold standard showed that this method has high sensitivity,specificity,and diagnostic consistency(P<0.001).Conclusion The coronary diagnosis system with AI technology has certain value in the system-atic evaluation of coronary artery characteristics and hemodynamic changes in CHD patients at high altitude.
