CT Imaging Score Adds Negligible Value to Clinical Model for Predicting 90-Day Stroke Outcome

In LVO stroke, a clinical-CT model predicted 90-day outcome (AUC 0.939 in CV), but adding CT imaging score to clinical variables (age, NIHSS, onset-to-CT time) did not significantly improve discrimination in testing (ΔAUC 0.0078, 95% CI -0.0071–0.0227, p=0.305).

• In repeated cross-validation, the hybrid model's AUC was 0.939 vs clinical-only 0.942; imaging-only model performed poorly (AUC 0.747).
• SHAP analysis showed age, NIHSS, onset-to-CT time, and the composite imaging score as top predictive features.

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