ICAS-M Score: MRI and Clinical Predictors for Intracranial Atherosclerosis-Related Stroke

335 patients who underwent MRI and endovascular thrombectomy for anterior circulation large vessel occlusion were analyzed in a retrospective, single-center study. The research derived a point-based score (ICAS-M) to discriminate intracranial atherosclerosis-related occlusion, achieving an AUC of 0.940. Yohei Tateishi authored this study, which was last updated on 2026-05-22.

Use Cases

• Predicting intracranial atherosclerosis-related occlusion based on MRI markers and clinical variables
• Developing risk stratification tools for stroke treatment based on absence of atrial fibrillation and specific infarct patterns
• Training models to identify mixed acute–subacute lesions and absence of susceptibility vessel sign as predictors
• Internal validation of clinical prediction models via bootstrap resampling methods

Strengths

• The model demonstrated high discrimination with an AUC of 0.940.
• The study includes 335 patient records with 44 confirmed ICAS-LVO events.
• Analysis incorporates predefined MRI markers and clinical variables like atrial fibrillation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single-center retrospective study, which may limit generalizability.

Provenance

Source

Yohei Tateishi

Collection Method

Retrospective, single-center study of consecutive patients.

Freshness

Last updated 2026-05-22 04:28:11; freshness should be verified.