Brain Age Estimation on T2-FLAIR Scans for Application to Multiple Sclerosis - PubMed

7 hours ago

Brain age estimation using T2-FLAIR scans is proposed as a biomarker for multiple sclerosis (MS) severity and progression.
The study developed a 3D convolutional neural network model predicting brain age from T2-FLAIR scans, comparable in accuracy to T1-weighted scan models.
Key regions influencing brain age predictions include subcortical areas, particularly the thalamus.
Brain-predicted age difference (brain-PAD) was significantly higher in people with MS (pwMS) than in healthy controls.
FLAIR-based brain-PAD correlated with MS disease duration and physical disability (EDSS scores).
The findings suggest T2-FLAIR scans can be effectively used for brain age estimation in clinical MS practice.

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