Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks: A MELD Study.

ABSTRACT:

Importance

A leading cause of surgically remediable, drug-resistant focal epilepsy is focal cortical dysplasia (FCD). FCD is challenging to visualize and often considered magnetic resonance imaging (MRI) negative. Existing automated methods for FCD detection are limited by high numbers of false-positive predictions, hampering their clinical utility.

Objective

To evaluate the efficacy and interpretability of graph neural networks in automatically detecting FCD lesions on MRI scans.

Design, setting, and participants

In this multicenter diagnostic study, retrospective MRI data were collated from 23 epilepsy centers worldwide between 2018 and 2022, as part of the Multicenter Epilepsy Lesion Detection (MELD) Project, and analyzed in 2023. Data from 20 centers were split eq

SUBMITTER: Ripart M 

PROVIDER: S-EPMC11851297 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature