Multi-centre Epilepsy Lesion Detection

Multi-centre Epilepsy Lesion Detection

Description

The Multi-centre Epilepsy Lesion Detection (MELD) Project aimed to develop an open-source, interpretable machine-learning algorithm to identify subtle focal cortical dysplasias (FCDs) in structural MRI scans, addressing the challenge of detecting these lesions which are often difficult to visualize. The algorithm utilizes surface-based features to enhance the detection and interpretation of FCDs from a diverse dataset collected from multiple epilepsy centers. The goal is to improve diagnostic accuracy and confidence in identifying subtle lesions in patients with epilepsy.

Creator

Helmholtz Center Munich, UCL Great Ormond Street Institute for Child Health, The Alan Turing Institute

Information

Pediatrics or Adult

Adult/Pediatric

Speciality

Neurology

Modality

MRI

Training

MRI cohort of 1015 participants, 618 patients with focal FCD-related epilepsy and 397 controls, from 22 epilepsy centres worldwide

Github

Publication

FDA

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