A Novel Imaging Biomarker for Cerebral Small Vessel Disease Associated With Cognitive Impairment: The Deep-Medullary-Veins Score

• Published in: Frontiers in aging neuroscience Vol. 13; p. 720481
• Main Authors: Xu, Zhihua, Li, Fangfei, Xing, Dengxiang, Song, Hongyan, Chen, Jingshu, Duan, Yang, Yang, Benqiang
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Research Foundation 25.10.2021; Frontiers Media S.A
• Subjects: Age; Aging; Alcohol use; Biomarkers; Blood vessels; Cardiovascular disease; cerebral small vessel disease; Cognitive ability; cognitive impairment; deep medullary veins; Diabetes; Hypertension; Magnetic resonance imaging; Medical imaging; Neuroimaging; Neuroscience; Patients; Substantia alba; total CSVD score CSVD and DMVs; Vascular diseases
• ISSN: 1663-4365; 1663-4365
• DOI: 10.3389/fnagi.2021.720481

Objective: To explore the biomarkers of cerebral small vessel disease (CSVD) associated with cognitive impairment. Methods: A total of 69 patients with CSVD were enrolled in the study, and baseline clinical and imaging data were reviewed retrospectively. The following neuroimaging biomarkers of CSVD were identified: high-grade white matter hyperintensity (HWMH), cerebral microbleeds (CMB), enlarged perivascular space (PVS), and lacunar infarct (LI). A total score for CSVD was calculated. The deep medullary veins (DMVs) were divided into six segments according to the regional anatomy. The total DMV score (0–18) was derived from the sum of the scores of the six individual segments, the scores of which ranged from 0 to 3, for a semiquantitative assessment of the DMV that was based on segmental continuity and visibility. Results: The DMV score, patient age, and total CSVD score were independently associated with the presence or absence of cognitive impairment in patients with CSVD ( P < 0.05). By integrating patient age and the total CSVD and DMV scores, the area under the curve of the receiver operating characteristic curve (AUROC) for predicting CSVD associated with cognitive impairment was 0.885, and the sensitivity and specificity were 64.71 and 94.23%, respectively. Conclusions: The DMV score may be a novel imaging biomarker for CSVD associated with cognitive impairment. The integration of the DMV score with age and total CSVD score should increase the predictive value of the DMV score for CSVD associated with cognitive impairment.