학술논문
基于定量CT的肺血栓体积评估中高危急性肺栓塞的诊断价值 / Diagnostic value of pulmonary embolism volumein identifying mild-to-high-risk acute pulmonary embolism based on quantitative CT
Document Type
Academic Journal
Author
姚彦娥; 李岩松; 王雄慧; 黄晓旗; 任涛; 冯筠; 郭佑民; 沈聪; YAO Yan'e; LI Yansong; WANG Xionghui; HUANG Xiaoqi; REN Tao; FENG Jun; GUO Youmin; SHEN Cong
Source
西安交通大学学报（医学版） / Journal of Xi'an Jiaotong University(Medical Sciences). 45(1):126-132
Subject
Language
Chinese
ISSN
1671-8259
Abstract
目的 探讨基于计算机辅助定量的肺血栓体积(pulmonary embolism volume,PEV)在识别中高危急性肺栓塞(acute pulmonary embolism,APE)中的诊断价值.方法 回顾性收集2017年1月至2020年12月延安大学附属医院可疑APE并经计算机断层肺动脉成像(CTPA)确诊的患者共143例,按2018中国《肺血栓栓塞症诊治与预防指南》分为低危组(n=88)和中高危组(n=55),收集患者的基本人口学资料、临床表现及血清中的N末端-B型钠尿肽前体(NT-proBNP)、D-二聚体水平.根据CTPA图像人工评价肺血栓栓塞程度,得到肺动脉阻塞指数(pulmonary artery obstruction index,PAOI).采用"数字肺"肺血栓检测工具分割血栓,计算PEV.比较低危组与中高危组之间临床指标、实验室指标及PAOI、PEV的差异,采用受试者工作特征(ROC)曲线分析PAOI、PEV在识别中高危APE中的诊断价值,采用Logistic回归分析筛选中高危APE的独立危险因素,并建立不同的模型.结果 中高危APE组较低危组年龄大、舒张压低(P＜0.05),D-二聚体和NT-proBNP水平高(P＜0.05),血小板计数、动脉血氧分压和动脉血二氧化碳分压低(P＜0.05),PAOI和PEV高(P＜0.001).ROC曲线分析显示,PEV、PAOI识别中高危APE的曲线下面积分别为 0.809(95％CI:0.734～0.884)、0.753(95％CI:0.667～0.839).Logistic 回归分析显示,PEV、NT-proBNP 是中高危APE的独立危险因素(P＜0.05).结论 PEV、NT-proBNP是预测中高危APE的独立危险因素.
Objective To investigate the value of computer-assisted quantification of pulmonary embolism volume(PEV)in identifying mild-to-high-risk acute pulmonary embolism(APE).Methods We retrospectively enrolled 143 patients with suspected APE confirmed by computed tomography pulmonary angiography(CTPA)at Yan'an University Affiliated Hospital from January 2017 to December 2020.According to the 2018 Chinese Guidelines for Diagnosis,Treatment and Prevention of Pulmonary Thromboembolism,all the patients were divided into low-risk group(n=88)and mild-to-high-risk group(n=55).We collected the patients'basic demographic data,clinical manifestations,and serum levels of N-terminal-B type natriuretic peptide precursor(NT-proBNP)and D-dimer.Based on CTPA images,the degree of pulmonary thromboembolism was artificially evaluated to obtain the pulmonary artery occlusion index(PAOI).The thrombus was segmented using the pulmonary embolism detection tool based on digital lung,and PEV was calculated.We compared the differences in clinical and laboratory indicators and PAOI and PEV between the two risk groups.We analyzed the value of PAOI and PEV in identifying mild-to-high-risk APE using receiver operating characteristic(ROC)curves,and used Logistic regression analysis to identify independent risk factors in predicting mild-to-high-risk APE.Different models were established.Results Compared with the low-risk group,APE patients in the mild-to-high-risk group were older(P＜0.05),had lower diastolic blood pressure(P＜0.05),higher levels of D-dimer and NT-proBNP(P＜0.05),lower levels of platelet count,arterial oxygen partial pressure and arterial carbon dioxide partial pressure(P＜0.05),and higher levels of PAOI and PEV(P＜0.001).ROC curve analysis showed that the area under the curve for PEV in identifying mild-to-high-risk APE was 0.809(95％CI:0.734-0.884),while that for PAOI was 0.753(95％CI:0.667-0.839).Logistic regression analysis showed that PEV and NT-proBNP were independent risk factors for mild-to-high-risk APE(P＜0.05).Conclusion PEV and NT-proBNP are independent risk factors for mild-to-high-risk APE.
Objective To investigate the value of computer-assisted quantification of pulmonary embolism volume(PEV)in identifying mild-to-high-risk acute pulmonary embolism(APE).Methods We retrospectively enrolled 143 patients with suspected APE confirmed by computed tomography pulmonary angiography(CTPA)at Yan'an University Affiliated Hospital from January 2017 to December 2020.According to the 2018 Chinese Guidelines for Diagnosis,Treatment and Prevention of Pulmonary Thromboembolism,all the patients were divided into low-risk group(n=88)and mild-to-high-risk group(n=55).We collected the patients'basic demographic data,clinical manifestations,and serum levels of N-terminal-B type natriuretic peptide precursor(NT-proBNP)and D-dimer.Based on CTPA images,the degree of pulmonary thromboembolism was artificially evaluated to obtain the pulmonary artery occlusion index(PAOI).The thrombus was segmented using the pulmonary embolism detection tool based on digital lung,and PEV was calculated.We compared the differences in clinical and laboratory indicators and PAOI and PEV between the two risk groups.We analyzed the value of PAOI and PEV in identifying mild-to-high-risk APE using receiver operating characteristic(ROC)curves,and used Logistic regression analysis to identify independent risk factors in predicting mild-to-high-risk APE.Different models were established.Results Compared with the low-risk group,APE patients in the mild-to-high-risk group were older(P＜0.05),had lower diastolic blood pressure(P＜0.05),higher levels of D-dimer and NT-proBNP(P＜0.05),lower levels of platelet count,arterial oxygen partial pressure and arterial carbon dioxide partial pressure(P＜0.05),and higher levels of PAOI and PEV(P＜0.001).ROC curve analysis showed that the area under the curve for PEV in identifying mild-to-high-risk APE was 0.809(95％CI:0.734-0.884),while that for PAOI was 0.753(95％CI:0.667-0.839).Logistic regression analysis showed that PEV and NT-proBNP were independent risk factors for mild-to-high-risk APE(P＜0.05).Conclusion PEV and NT-proBNP are independent risk factors for mild-to-high-risk APE.