Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias.

ABSTRACT:

Objective

Focal cortical dysplasias (FCDs) often cause pharmacoresistant epilepsy, and surgical resection can lead to seizure-freedom. Magnetic resonance imaging (MRI) and positron emission tomography (PET) play complementary roles in FCD identification/localization; nevertheless, many FCDs are small or subtle, and difficult to find on routine radiological inspection. We aimed to automatically detect subtle or visually-unidentifiable FCDs by building a classifier based on an optimized cortical surface sampling of combined MRI and PET features.

Methods

Cortical surfaces of 28 patients with histopathologically-proven FCDs were extracted. Morphology and intensity-based features characterizing FCD lesions were calculated vertex-wise on each cortical surface, and fed to a 2-step

SUBMITTER: Tan YL 

PROVIDER: S-EPMC5748006 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature