人工与AI在CCTA图像后处理及冠状动脉狭窄诊断效能中的比较  

Comparison of the performance of manual and artificial intelligence in coronary CT angiography image post-processing and diagnosis of coronary artery stenosis

作　　者：刘健 姜增誉[1] 马彦云[1] 黄瑞良 LIU Jian;JIANG Zengyu;MA Yanyun;HUANG Ruiliang(The First Hospital of Shanxi Medical University,Taiyuan 030001,China;Shanxi Provincial Hospital of Cardiovascular Diseases,Taiyuan 030024,China)

机构地区：[1]山西医科大学第一医院,山西太原030001 [2]山西省心脑血管病医院,山西太原030024

出　　处：《临床医药实践》2024年第11期838-842,共5页Proceeding of Clinical Medicine

基　　金：2022年山西省高等学校教学改革创新项目(课题编号:J20220416)。

摘　　要：目的:对比人工智能(AI)与人工在冠状动脉CT血管成像后处理以及冠状动脉狭窄诊断中的应用效果。方法:回顾性分析120例疑诊冠状动脉粥样硬化性心脏病患者的冠状动脉计算机断层扫描血管造影(CCTA)资料,以冠状动脉造影为诊断金标准,采用人工法和AI对其CT冠状动脉图像进行后处理,总结分析AI在工作效率、图像质量、冠脉狭窄诊断符合率等方面的效能。结果:AI组图像后处理时间明显短于人工组(P<0.05);两组容积再现(VR)图像质量合格率和冠脉狭窄的诊断效能比较,差异无统计学意义(P>0.05);AI组诊断冠脉狭窄的敏感性、特异性及准确率分别为92.80%,89.02%和91.94%;但AI组右冠状动脉(RCA)、冠状动脉左旋支(LCX)以及冠状动脉左前降支(LAD)轻度狭窄(2级)的诊断效能方面低于人工组,差异有统计学意义(P<0.05)。结论:应用AI技术有助于提升CCTA图像后处理工作效率,缩短图像后处理时间,且AI在冠脉中重度狭窄的诊断结果较准确,能够作为影像医师诊断的重要辅助工具。Objective:To compare the application effects of artificial intelligence(AI)and artificial intelligence in the post-processing of coronary CT angiography(CCTA)and the diagnosis of coronary artery stenosis.Methods:The CCTA data of 120 patients with suspected coronary heart disease were retrospectively analyzed,and coronary angiography was used as the gold standard for diagnosis,and the CT coronary images were post-processed by manual method and AI,and the efficacy of AI in work efficiency,image quality,and coincidence rate of coronary stenosis diagnosis was summarized and analyzed.Results:The image post-processing time of the AI processing group was significantly shorter than that of the manual processing group(P<0.05),there was no significant difference in the qualification rate of volume rendering(VR)image quality the diagnostic efficiency of coronary artery stenosis between the two groups(P>0.05),and the sensitivity,specificity and accuracy of the AI group in diagnosing coronary artery stenosis were 92.80%,89.02%and 91.94%,respectively.However,the diagnostic efficacy of mild stenosis(grade 2)of right coronary artery(RCA),left circumflex coronary artery(LCX),and left anterior descending coronary artery(LAD)in the AI group was lower than that of the manual group(P<0.05).Conclusion:The application of AI technology is helpful to improve the efficiency of CCTA image post-processing and shorten the image post-processing time,and the diagnosis results of AI in coronary artery moderate and severe stenosis are more accurate,which can be used as an important auxiliary tool for radiologists to diagnose.

关 键 词：人工智能 冠状动脉 CT血管成像 诊断效能 

分 类 号：R445.4[医药卫生—影像医学与核医学]