中国医学装备2024，Vol.21Issue(6)：40-44,5.DOI:10.3969/j.issn.1672-8270.2024.06.008
多层螺旋CT血管造影对急性主动脉综合征的诊断和影像学特征
Analysis on diagnosis and clinical characteristics of MSCTA on acute aortic syndrome
摘要
Abstract
Objective:To explore the diagnosis and clinical characteristics of multi-slice spiral computed tomography angiography(MSCTA)on acute aortic syndrome(AAS).Methods:A total of 185 patients with suspected AAS who were treated in Fuyang People's Hospital from June 2020 to July 2022 were selected,and the diagnostic results of digital vascular subtraction(DSA)were taken as the"gold standard".Before confirmation,MSCT plain scan and MSCTA examination were conducted,and the positively and negatively predictive values of MSCT plain scan and MSCTA were calculated by using four-cell table method.The area under curve(AUC)values,sensitivities and specificities of MSCT plain scan and MSCTA in diagnosing AAS were analyzed by using receiver operating characteristic(ROC)curve model.Results:As the gold standard of DSA diagnostic results,82 cases of 185 patients with suspected AAS were confirmed as AAS.The positively and negatively predictive values of MSCT plain scan were 68.35%and 73.58%,respectively.The positively and negatively predictive value of MSCTA examination were 96.30%and 96.15%,respectively.The diagnostic accuracy of MSCTA was significantly higher than that of MSCT plain scan(x2=42.092,P<0.05).The detection rates of laceration locations(ascending aorta,aortic arch and descending aorta)in MSCTA were significantly higher than that in MSCT plain scan(x2=6.788,4.000,12.974,P<0.05),respectively.ROC curve analysis showed that the AUC values of MSCT plain scan and MSCTA were respectively 0.698 and 0.946 in diagnosing AAS.Conclusion:MSCTA has a higher efficiency in diagnosing AAS,and AAS mostly includes the aortic dissection separation and aortic intramural hematoma.关键词
多层螺旋CT/血管造影/急性主动脉综合征Key words
Multi-slice spiral computed tomography(MSCT)/Angiography/Acute aortic syndrome(AAS)分类
医药卫生引用本文复制引用
邰永星,谢军,郭婷婷,李海群..多层螺旋CT血管造影对急性主动脉综合征的诊断和影像学特征[J].中国医学装备,2024,21(6):40-44,5.基金项目
安徽省科学技术厅临床医学研究转化专项(2022042951070200051) Anhui Provincial Department of Science and Technology Clinical Medical Research Transformation Special Project(2022042951070200051) （2022042951070200051）
