AI algorithm that detects brain abnormalities could help cure epilepsy
Written By : Isra Zaman
Medically Reviewed By : Dr. Kamal Kant Kohli
Published On 2022-08-17 03:30 GMT | Update On 2022-08-17 03:30 GMT
The Multicentre Epilepsy Lesion Detection project (MELD) used over 1,000 patient MRI scans from 22 global epilepsy centres to develop the algorithm, which provides reports of where abnormalities are in cases of drug-resistant focal cortical dysplasia (FCD)-a leading cause of epilepsy.
To develop the algorithm, the team quantified cortical features from the MRI scans, such as how thick or folded the cortex/brain surface was, and used around 300,000 locations across the brain.
Researchers then trained the algorithm on examples labelled by expert radiologists as either being a healthy brain or having FCD-dependant on their patterns and features.
The findings, published in Brain, found that overall the algorithm was able to detect the FCD in 67% of cases in the cohort (538 participants). This is particularly important, as if doctors can find the abnormality in the brain scan, then surgery to remove it can provide a cure. This study on FCD detection uses the largest MRI cohort of FCDs to date, meaning it is able to detect all types of FCD.
The MELD FCD classifier tool can be run on any patient with a suspicion of having an FCD who is over the age of 3 years and has an MRI scan.
Ref:
Mathilde Ripart et. al,Interpretable surface-based detection of focal cortical dysplasias: a Multi-centre Epilepsy Lesion Detection study,Brain,12-Aug-2022
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