用计算机断层血管造影评估缺血性卒中的脑侧支状态:人工和自动方法的回顾

D. Dolotova, E. Blagosklonova, G. R. Ramazanov, I. Arkhipov, S. Petrikov, A. Gavrilov
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引用次数: 1

摘要

在缺血性脑卒中中,脑侧支循环状况是决定预后的关键因素之一。数字减影血管造影被认为是评估脑侧支循环的金标准。然而,计算机断层血管造影是最广泛使用的方法,其特点是与减影血管造影高度一致。目前,在计算机断层血管造影获得的图像中,使用了几种视觉评价侧枝循环发展的尺度。该量表描述了脑卒中相关脑动脉的区域,以及该区域各个区域的细节。神经功能缺损的评分和严重程度与脑缺血容量之间的关系已在许多研究中得到证实。然而,关于描述脑侧支状态的最可靠方法尚未达成共识。使用现代医学图像处理方法和人工智能,使辅助状态评估朝着自动化迈出了重要一步,具有处理速度快、不受主观意见影响等优点。尽管关于这一主题的研究很少,但自动化解决方案的实施已经显示出其有效性。在这篇综述中,考虑了人工评估脑侧支循环状态的量表,描述了它们的可靠性,并介绍了目前用于缺血性卒中侧支循环自动评估的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of cerebral collateral status using computed tomography angiography in ischemic stroke: review of manual and automated methods
In ischemic stroke, the condition of cerebral collateral circulation is one of the key factors determining the outcome. Digital subtraction angiography is considered the gold standard of evaluation of cerebral collateral circulation. However, computed tomography angiography is the most widely used method characterized by high level of conformity with subtraction angiography. Currently, several scales of visual evaluation of collateral circulation development in images obtained by computed tomography angiography are used. The scales describe the territory of stroke-associated cerebral artery, as well as details of various areas of the territory. The association between the score and severity of neurological deficit and volume of cerebral ischemia was demonstrated in numerous studies. However, consensus on the most reliable method of description of cerebral collateral status has not been reached. Use of modern methods of processing of medical images and artificial intelligence allowed to make a significant step towards automatization of collateral status evaluation with such benefits as high processing speed and resistance to subjective opinion. Despite low number of studies on this subject, implementation of automated solutions has already showed its effectiveness. In this review, scales for manual evaluation of cerebral collateral status are considered, their reliability is described, and current approaches to automated evaluation of collateral circulation in ischemic stroke are presented.
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