ABSTRACT NUMBER: ESOC2026A997 RADIOMIC SUBTYPING OF CEREBRAL SMALL VESSEL DISEASE REVEALS DISTINCT PATHOPHYSIOLOGICAL TRAJECTORIES LINKED TO VASCULAR RISK AND COGNITIVE DECLINE
Abstract Background and aims To establish artificial intelligence-derived, Magnetic Resonance Imaging (MRI)-based etiological subtypes of cerebral small vascular disease (CSVD). Methods A multicenter, cohort study that enrolled 1,036 adults with mild cognitive impairment before September 31, 2025 with the first month follow-up was completed. MRI radiomic features were extracted using an artificial intelligence driven segmentation and clustering framework for etiological subtyping. The primary outcome was the clinical risks of the imaging-driven MCI subtypes. Results The analysis revealed three CSVD subtypes based on seven imaging features: a lacune-specific subtype, characterized by severe lacunes, was associated with lower high-density lipoprotein cholesterol (HDL-C) (mean [SD], 0.9 [0.2] mmol/L; OR, 3.27; 95% CI, 1.41-5.60), higher systolic blood pressure (SBP), and lower apolipoprotein A1 (mean [SD], 1.2 [0.3] g/L; OR, 1.01; 95% CI, 1.01-1.71); a white matter hyperintensities (WMHs)-specific subtype, marked by more severe WMHs, was associated with elevated SBP, normal HDL-C (mean [SD], 1.1 [0.2] mmol/L), and apolipoprotein A1 (mean [SD], 1.3 [0.2] g/L) levels; and a hippocampal-atrophy subtype, marked by significant hippocampal atrophy, was associated with fewer vascular risk factors (HDL-C, mean [SD], 1.2 [0.4] mmol/L; apolipoprotein A1, mean [SD], 1.3 [0.3] g/L). Visuospatial and language deficits were prominent in the lacune- and WMHs-specific subtypes. These clusters were validated in 1130 patients from the ADNI database. Abnormal HDL-C metabolism was linked to specific gene mutations. Conclusions This study identified and validated three distinct imaging subtypes of CSVD, providing a framework for precise diagnosis and targeted therapeutic strategies. Conflict of interest Jinjie Liu. nothing to disclose Figure 1 - belongs to Methods Table 1 - belongs to Results
Authors
- D J Li
- Sibo Liu (ORCID: https://orcid.org/0000-0001-5336-0200)
- Jinjie Liu (ORCID: https://orcid.org/0000-0002-5922-8216)
Institutions
- Dalian University of Technology (CN)
- Dalian Municipal Central Hospital (CN)
Publication Details
- Journal
- European Stroke Journal
- Published
- 2026-05-01
- DOI
- https://doi.org/10.1093/esj/aakag023.507
- Primary Topic
- Cerebrovascular and genetic disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00