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CTA 在不同来源蛛网膜下腔出血计算机辅助诊断中的应用价值。

Application Value of CTA in the Computer-Aided Diagnosis of Subarachnoid Hemorrhage of Different Origins.

机构信息

Department of Forensic Pathology, College of Forensic Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.

Railway Police College, Zhengzhou, Henan 450053, China.

出版信息

J Healthc Eng. 2021 Jan 15;2021:6638610. doi: 10.1155/2021/6638610. eCollection 2021.

Abstract

Subarachnoid hemorrhage (SAH) is difficult to detect because of its circulation through subarachnoid space, which leads to a high rate of missed diagnosis. Based on the above background, the purpose of this study is to study the application value of brain CT angiography (CTA) in computer-aided diagnosis of subarachnoid hemorrhage with a wide range of brain digital subtraction angiography as a gold standard. This paper collected images and related medical records of 111 patients with spontaneous subarachnoid hemorrhage receiving brain CTA and DSA examinations from February 2015 to November 2019 in the neurology department of our hospital. In contrast to the number, position, length, width, and neck width of the causative aneurysm detected by DSA, we evaluated the diagnostic results of CTA and evaluated whether there was statistical difference between the two detectives of intracranial aneurysms. The results showed that the area under ROC curve of subtraction CTA and conventional CTA was 1.000 and 0.818, respectively, which indicated that the former had better display effect on internal carotid aneurysm (AUC > 0.9), while the latter had medium value (0.7 < AUC ≤ 0.9), and the difference was statistically significant ( = 2.390, =0.017).

摘要

蛛网膜下腔出血(SAH)由于在蛛网膜下腔循环,导致漏诊率很高,难以检测。基于上述背景,本研究旨在研究脑 CT 血管造影(CTA)在以广泛脑数字减影血管造影(DSA)为金标准的计算机辅助诊断蛛网膜下腔出血中的应用价值。本文收集了我院神经内科 2015 年 2 月至 2019 年 11 月收治的 111 例自发性蛛网膜下腔出血患者的脑 CTA 和 DSA 检查图像和相关病历。与 DSA 检测到的致病动脉瘤的数量、位置、长度、宽度和颈部宽度相比,我们评估了 CTA 的诊断结果,并评估了颅内动脉瘤的两种检测方法之间是否存在统计学差异。结果表明,减影 CTA 和常规 CTA 的 ROC 曲线下面积分别为 1.000 和 0.818,这表明前者对内颈动脉动脉瘤的显示效果更好(AUC>0.9),而后者具有中等价值(0.7<AUC≤0.9),差异有统计学意义( = 2.390,=0.017)。

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