Scientific Data · 2023 · 52 citations · 30 references
MedicineNeuroscienceRadiologyDiagnostic ImagingDiagnostic RadiologyEpilepsyBrain ImagingComputer-aided DiagnosisEpilepsy SurgeryMedical Image AnalysisMedical ImagingNeuroimaging In EpilepsyCortical Dysplasia ImagingDysplastic ChangesEpilepsy DiagnosisFocal Cortical ResectionLesion DetectionMagnetic Resonance Imaging Lesion DetectionPostoperative Seizure Freedom
Automated detection of lesions using artificial intelligence creates new standards in medical imaging. For people with epilepsy, automated detection of focal cortical dysplasias (FCDs) is widely used because subtle FCDs often escape conventional neuroradiological diagnosis. Accurate recognition of FCDs, however, is of outstanding importance for affected people, as surgical resection of the dysplastic cortex is associated with a high chance of postsurgical seizure freedom. Here, we make publicly available a dataset of 85 people affected by epilepsy due to FCD type II and 85 healthy control persons. We publish 3D-T1 and 3D-FLAIR, manually labeled regions of interest, and carefully selected clinical features. The open presurgery MRI dataset may be used to validate existing automated algorithms of FCD detection as well as to create new approaches. Most importantly, it will enable comparability of already existing approaches and support a more widespread use of automated lesion detection tools.
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Histopathological Findings in Brain Tissue Obtained during Epilepsy Surgery
Ingmar Blümcke, Roberto Spreafico, Gerrit Haaker et al. · New England Journal of Medicine · 2017 · 917 citations · Full text