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Automated Neuroradiological Support Systems for Multiple Cerebrovascular Disease Markers - A Systematic Review and Meta-Analysis.

Computer methods and programs in biomedicine(2025)

Canon Medical Research Europe

Cited 0|Views3
Abstract
Cerebrovascular diseases (CVD) can lead to stroke and dementia. Stroke is the second leading cause of death world wide and dementia incidence is increasing by the year. There are several markers of CVD that are visible on brain imaging, including: white matter hyperintensities (WMH), acute and chronic ischaemic stroke lesions (ISL), lacunes, enlarged perivascular spaces (PVS), acute and chronic haemorrhagic lesions, and cerebral microbleeds (CMB). Brain atrophy also occurs in CVD. These markers are important for patient management and intervention, since they indicate elevated risk of future stroke and dementia. We systematically reviewed automated systems designed to support radiologists reporting on these CVD imaging findings. We considered commercially available software and research publications which identify at least two CVD markers. In total, we included 29 commercial products and 13 research publications. Two distinct types of commercial support system were available: those which identify acute stroke lesions (haemorrhagic and ischaemic) from computed tomography (CT) scans, mainly for the purpose of patient triage; and those which measure WMH and atrophy regionally and longitudinally. In research, WMH and ISL were the markers most frequently analysed together, from magnetic resonance imaging (MRI) scans; lacunes and PVS were each targeted only twice and CMB only once. For stroke, commercially available systems largely support the emergency setting, whilst research systems consider also follow-up and routine scans. The systems to quantify WMH and atrophy are focused on neurodegenerative disease support, where these CVD markers are also of significance. There are currently no openly validated systems, commercially, or in research, performing a comprehensive joint analysis of all CVD markers (WMH, ISL, lacunes, PVS, haemorrhagic lesions, CMB, and atrophy).
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要点】:本文通过系统回顾和荟萃分析,研究了自动化神经影像学支持系统在多发性脑血管疾病标记物检测中的应用,发现了当前系统在全面分析所有标记物方面的不足。

方法】:作者采用系统回顾和荟萃分析的方法,评估了29个商业产品和13篇研究论文中设计的自动化系统,这些系统能够识别至少两种CVD标记物。

实验】:研究涵盖了商业产品和研究文献,其中商业系统主要识别CT扫描中的急性脑卒中病变(出血性和缺血性)以及区域性和纵向测量WMH和萎缩,研究系统则主要分析MRI扫描中的WMH和ISL。当前没有公开验证的系统进行全面联合分析所有CVD标记物。