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Voxel-based magnetic resonance image postprocessing in epilepsy.

Authors
  • Martin, Pascal1
  • Winston, Gavin P2, 3
  • Bartlett, Philippa2, 3
  • de Tisi, Jane2, 3
  • Duncan, John S2, 3
  • Focke, Niels K1, 4
  • 1 Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany. , (Germany)
  • 2 Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology and National Hospital for Neurology and Neurosurgery, London, United Kingdom. , (United Kingdom)
  • 3 Epilepsy Society MRI Unit, Chalfont St, Peter, United Kingdom. , (United Kingdom)
  • 4 Clinical Neurophysiology, University Clinic, Göttingen, Germany. , (Germany)
Type
Published Article
Journal
Epilepsia
Publication Date
Sep 01, 2017
Volume
58
Issue
9
Pages
1653–1664
Identifiers
DOI: 10.1111/epi.13851
PMID: 28745400
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Although the general utility of voxel-based processing of structural magnetic resonance imaging (MRI) data for detecting occult lesions in focal epilepsy is established, many differences exist among studies, and it is unclear which processing method is preferable. The aim of this study was to compare the ability of commonly used methods to detect epileptogenic lesions in magnetic resonance MRI-positive and MRI-negative patients, and to estimate their diagnostic yield. We identified 144 presurgical focal epilepsy patients, 15 of whom had a histopathologically proven and MRI-visible focal cortical dysplasia; 129 patients were MRI negative with a clinical hypothesis of seizure origin, 27 of whom had resections. We applied four types of voxel-based morphometry (VBM), three based on T1 images (gray matter volume, gray matter concentration, junction map [JM]) and one based on normalized fluid-attenuated inversion recovery (nFSI). Specificity was derived from analysis of 50 healthy controls. The four maps had different sensitivity and specificity profiles. All maps showed detection rates for focal cortical dysplasia patients (MRI positive and negative) of >30% at a strict threshold of p < 0.05 (family-wise error) and >60% with a liberal threshold of p < 0.0001 (uncorrected), except for gray matter volume (14% and 27% detection rate). All maps except nFSI showed poor specificity, with high rates of false-positive findings in controls. In the MRI-negative patients, absolute detection rates were lower. A concordant nFSI finding had a significant positive odds ratio of 7.33 for a favorable postsurgical outcome in the MRI-negative group. Spatial colocalization of JM and nFSI was rare, yet showed good specificity throughout the thresholds. All VBM variants had specific diagnostic properties that need to be considered for an adequate interpretation of the results. Overall, structural postprocessing can be a useful tool in presurgical diagnostics, but the low specificity of some maps has to be taken into consideration. © 2017 The Authors. Epilepsia published by Wiley Periodicals, Inc. on behalf of International League Against Epilepsy.

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