Automated detection of cortical dysplasia type II in MRI-negative epilepsy.

ABSTRACT:

Objective

To detect automatically focal cortical dysplasia (FCD) type II in patients with extratemporal epilepsy initially diagnosed as MRI-negative on routine inspection of 1.5 and 3.0T scans.

Methods

We implemented an automated classifier relying on surface-based features of FCD morphology and intensity, taking advantage of their covariance. The method was tested on 19 patients (15 with histologically confirmed FCD) scanned at 3.0T, and cross-validated using a leave-one-out strategy. We assessed specificity in 24 healthy controls and 11 disease controls with temporal lobe epilepsy. Cross-dataset classification performance was evaluated in 20 healthy controls and 14 patients with histologically verified FCD examined at 1.5T.

Results

Sensitivity was 74%, with 100% spe

SUBMITTER: Hong SJ 

PROVIDER: S-EPMC4114179 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature