Focal Cortical Dysplasia Detection

Focal Cortical Dysplasia Detection

Description

This study developed a deep-learning framework using magnetic resonance fingerprinting (MRF) to detect focal cortical dysplasia (FCD), a common cause of drug-resistant epilepsy, across the whole brain. By combining MRF-derived T1, T2, tissue fraction, and morphometric maps, the model achieved 80% sensitivity with fewer false positives than models using standard clinical MRI. These results highlight MRF’s potential as a powerful, single-scan tool for improving FCD detection.

Creator

Cleveland Clinic, Case Western Reserve University

Information

Pediatrics or Adult

Adult

Speciality

Neurology

Modality

Magnetic resonance fingerprinting

Training

40 patients with FCD and 67 healthy controls

Github

Publication

FDA

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