医学信息2024，Vol.37Issue(11)：69-73,78,6.DOI:10.3969/j.issn.1006-1959.2024.11.012
基于人工智能的CT-FFR与冠状动脉狭窄特征相关性分析
Correlation Analysis Between CT-FFR Based on Artificial Intelligence and Coronary Artery Stenosis Characteristics
摘要
Abstract
Objective To investigate the relationship between conventional coronary plaque parameters and CT-fractional flow reserve(CT-FFR).Methods From January to December 2021,coronary CT angiography(CCTA)was performed in the First People's Hospital of Lianyungang,and 144 patients with coronary angiography were performed within one month.CT-FFR was used as the evaluation standard of whether hemodynamics was abnormal.According to the CT-FFR value,CT-FFR＞0.8 was set as CT-FFR negative group,and CT-FFR ≤0.8 was set as CT-FFR positive group.The relationship between CT-FFR positive and CT-FFR negative patients in coronary artery characteristics was analyzed.Results The calcification score of CT-FFR positive group was higher than that of CT-FFR negative group,and the lesion length of CT-FFR positive group was longer than that of CT-FFR negative group(P＜0.05).There was significant difference in the degree of stenosis between the two groups(P＜0.05).There was significant difference in CT-FFR value between diffuse lesions and non-diffuse lesions(P＜0.05).Conclusion Coronary artery stenosis,lesion length and calcification score are important factors affecting coronary hemodynamic abnormalities in patients with coronary heart disease.关键词
冠状动脉/CT-血流储备分数/钙化积分/狭窄程度Key words
Coronary artery/CT-fractional flow reserve/Calcification score/Stenosis degree分类
医药卫生引用本文复制引用
陈敏,王建,顾艳,苗重昌..基于人工智能的CT-FFR与冠状动脉狭窄特征相关性分析[J].医学信息,2024,37(11):69-73,78,6.基金项目
1.连云港市第一人民医院青年英才基金(编号:QN202004) （编号:QN202004）
2.江苏省医学会伦琴影像科研专项资金[编号:SYH-3201150-0019(2021014)] （2021014）
