Automated neuroradiological support systems for multiple cerebrovascular disease markers -- A systematic review and meta-analysis
Jesse Phitidis, Alison Q. O'Neil, William N. Whiteley, Beatrice Alex,, Joanna M. Wardlaw, Miguel O. Bernabeu, Maria Vald\'es Hern\'andez

TL;DR
This systematic review and meta-analysis evaluates automated neuroradiological systems for detecting cerebrovascular disease markers, highlighting current capabilities, gaps, and the need for comprehensive joint analysis tools.
Contribution
It provides a detailed overview of existing commercial and research systems for CVD marker detection, identifying the lack of comprehensive joint analysis solutions.
Findings
Commercial systems mainly support acute stroke detection for triage.
Research focuses on WMH and ISL analysis in MRI scans.
No validated systems perform comprehensive joint analysis of all CVD markers.
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…
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Taxonomy
TopicsBrain Tumor Detection and Classification · Cerebrovascular and Carotid Artery Diseases · Medical Image Segmentation Techniques
