Evaluation of small vessel disease burden on MRI and stroke outcomes.

ABSTRACT:

Purpose

We aimed to assess whether a composite SVD score derived from MRI features improves stroke outcome prediction when integrated with clinical factors.

Materials and methods

A 2019-2022 retrospective analysis included patients who had MRI prior to stroke admission. A semi-automated approach evaluated SVD MRI markers (white matter hyperintensities (WMH), lacunar infarcts, perivascular spaces (PVS), and cerebral microbleeds (CMBs)) using continuous and categorical measures to create a composite SVD score. Multivariate regression analyses compared performance across three models: (1) SVD score, (2) clinical factors, and (3) SVD score + clinical factors for outcomes, including stroke etiology, ICU and hospital stay, NIH Stroke Scale (NIHSS), 90 day modified Rankin Scale (mR

SUBMITTER: Nguyen J 

PROVIDER: S-EPMC12285601 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature