AI algorithm that detects brain abnormalities could help cure epilepsy - Video
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Overview
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
Speakers
Isra Zaman
B.Sc Life Sciences, M.Sc Biotechnology, B.Ed
Isra Zaman is a Life Science graduate from Daulat Ram College, Delhi University, and a postgraduate in Biotechnology from Amity University. She has a flair for writing, and her roles at Medicaldialogues include that of a Sr. content writer and a medical correspondent. Her news pieces cover recent discoveries and updates from the health and medicine sector. She can be reached at editorial@medicaldialogues.in.
Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: drkohli@medicaldialogues.in. Contact no. 011-43720751