BACKGROUND: Focal Cortical Dysplasia (FCD) is an important cause for pharmacoresistant epilepsy that can be treated surgically. The identification of the abnormal cortex on standard MRI can be difficult and computational techniques have been developed to increase sensitivity. In this study we evaluate the potential of a novel whole-brain voxel-based technique using normalized FLAIR signal intensity (nFSI) at 3 Tesla. METHODS: Twenty-five patients with neuroradiologically reported FCD were included and compared to 25 healthy control subjects using Statistical Parametric Mapping (SPM5). T2 FLAIR scans were intensity normalized and each individual patient was compared against the control group. Each control subject was compared against the remaining control group. RESULTS: SPM correctly identified the FCD in 88% of cases (22/25) with only one false positive finding in the control group. In all but one of these cases the FCD was the most significant finding in the whole brain. All three missing cases could be detected at lower threshold levels but this would give rise to more false positive findings and thus reduce specificity. CONCLUSION: We present a novel technique that uses standard clinical T2 FLAIR scans to automatically detect FCDs. It can give supplementary information to the established T1-based automated techniques and could be useful for additional screening test, to complement the visual reading and clinical interpretation of MRI scans.
BACKGROUND: Focal Cortical Dysplasia (FCD) is an important cause for pharmacoresistant epilepsy that can be treated surgically. The identification of the abnormal cortex on standard MRI can be difficult and computational techniques have been developed to increase sensitivity. In this study we evaluate the potential of a novel whole-brain voxel-based technique using normalized FLAIR signal intensity (nFSI) at 3 Tesla. METHODS: Twenty-five patients with neuroradiologically reported FCD were included and compared to 25 healthy control subjects using Statistical Parametric Mapping (SPM5). T2 FLAIR scans were intensity normalized and each individual patient was compared against the control group. Each control subject was compared against the remaining control group. RESULTS: SPM correctly identified the FCD in 88% of cases (22/25) with only one false positive finding in the control group. In all but one of these cases the FCD was the most significant finding in the whole brain. All three missing cases could be detected at lower threshold levels but this would give rise to more false positive findings and thus reduce specificity. CONCLUSION: We present a novel technique that uses standard clinical T2 FLAIR scans to automatically detect FCDs. It can give supplementary information to the established T1-based automated techniques and could be useful for additional screening test, to complement the visual reading and clinical interpretation of MRI scans.
Authors: Aleksandar J Ristic; Z Irene Wang; Chong H Wong; Stephen E Jones; Imad M Najm; Felix Schneider; Shuang Wang; Jorge A Gonzalez-Martinez; W Bingaman; Andreas V Alexopoulos Journal: Epilepsia Date: 2013-10-01 Impact factor: 5.864
Authors: Z Irene Wang; Stephen E Jones; Zeenat Jaisani; Imad M Najm; Richard A Prayson; Richard C Burgess; Balu Krishnan; Aleksandar Ristic; Chong H Wong; William Bingaman; Jorge A Gonzalez-Martinez; Andreas V Alexopoulos Journal: Ann Neurol Date: 2015-04-23 Impact factor: 10.422
Authors: Zhong I Wang; Andreas V Alexopoulos; Stephen E Jones; Imad M Najm; Aleksandar Ristic; Chong Wong; Richard Prayson; Felix Schneider; Yosuke Kakisaka; Shuang Wang; William Bingaman; Jorge A Gonzalez-Martinez; Richard C Burgess Journal: Ann Neurol Date: 2014-05-16 Impact factor: 10.422