Voxel-based analysis of whole brain FLAIR at 3T detects focal cortical dysplasia
| Autor: | Niels K. Focke, Jane L. Burdett, John S. Duncan, Mark R. Symms |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Adult
Male Adolescent Fluid-attenuated inversion recovery Statistical parametric mapping computer.software_genre Functional Laterality Central nervous system disease Text mining Imaging Three-Dimensional Voxel Image Interpretation Computer-Assisted medicine Image Processing Computer-Assisted Humans Brain Mapping business.industry Brain Cortical dysplasia Middle Aged medicine.disease Control Groups Magnetic Resonance Imaging Intensity (physics) Malformations of Cortical Development Neurology Epilepsy Temporal Lobe Dysplasia Evaluation Studies as Topic Linear Models Female Neurology (clinical) Psychology Nuclear medicine business computer |
| Zdroj: | Epilepsia. 49(5) |
| ISSN: | 0013-9580 |
| Popis: | Summary 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text