What question did this study set out to answer?

To develop a fusion model combining MRI imaging with clinical variables for predicting poor outcomes in acute ischemic stroke patients.

June 20, 2026Frontiers in NeurologyOpen Access

Multimodal data fusion of dual-modal DWI-ADC MRI and clinical variables for prognostic prediction in acute ischemic stroke

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial evaluates imaging and clinical variables to predict outcomes in acute ischemic stroke, suggesting enhanced prognostic ability.

To develop a fusion model combining MRI imaging with clinical variables for predicting poor outcomes in acute ischemic stroke patients.
Retrospective study of 562 acute ischemic stroke patients with DWI and ADC MRI performed 1-7 days post-symptom onset.
Patients split into training (n=393), validation (n=84), and held-out test (n=85) sets.
Used a ResNet50-based imaging model and SVR-based clinical model, evaluated using AUC and other performance metrics.
Fusion model reached AUC of 0.951 (95% CI: 0.908–0.994) with sensitivity of 0.889 and specificity of 0.911.
Fusion model outperformed the imaging model (p < 0.05) but not the clinical model.
Decision curve analysis showed positive net benefit for the fusion model across various threshold probabilities.

Ji et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Randomized trial evaluates imaging and clinical variables to predict outcomes in acute ischemic stroke, suggesting enhanced prognostic ability.