OCTA-Derived Retinal Biomarkers and Infarct Topography Improve Etiologic Classification of Recent Single Subcortical Infarction: A Nomogram Model.

ABSTRACT:

Background

Recent single subcortical infarction (RSSI) in lenticulostriate artery territories exhibits etiological heterogeneity. Misclassification risks persist due to overlapping neuroimaging features between cerebral small-vessel disease-related lacunar infarction (CSVD-related LI) and branch atheromatous disease (BAD). We developed a nomogram that integrates retinal optical coherence tomography angiography (OCTA) metrics with infarct topography to improve etiological classification.

Methods

Patients with RSSI were prospectively enrolled between December 2021 and December 2023. LASSO regression identified predictors for a logistic regression-based nomogram. Performance was evaluated via concordance index (C-index), calibration curves, and decision-curve analysis.

Resul

SUBMITTER: Jiang S 

PROVIDER: S-EPMC12813863 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature