2009
DOI: 10.1016/j.jocn.2008.08.025
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Voxel-based morphometry in the detection of dysplasia and neoplasia in childhood epilepsy: Limitations of grey matter analysis

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Cited by 25 publications
(22 citation statements)
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“…VBM is a fully automated image processing framework able to identify regional density differences in brain tissue at the level of a voxel. Several groups 42,[45][46][47][48][49][50] applied VBM in our field, suggesting this technique may identify subtle lesions 48 .…”
Section: Discussionmentioning
confidence: 96%
“…VBM is a fully automated image processing framework able to identify regional density differences in brain tissue at the level of a voxel. Several groups 42,[45][46][47][48][49][50] applied VBM in our field, suggesting this technique may identify subtle lesions 48 .…”
Section: Discussionmentioning
confidence: 96%
“…Computer-assisted methods, such as voxel-based morphometry (VBM) 18 , surface reconstructions and segmentation techniques 19,20 may aid in detection of subtle lesions, but these automatic approaches still need to surpass intrinsic inaccuracies and remain to be proven helpful to the unassisted human eye in prospective studies 16,18 . Nevertheless, clinical information is still absolutely important in guiding the intensive and time-consuming visual search that is required in the evaluation of milimetric volume acquisitions with multiplanar reformats.…”
Section: Modern Neuroimaging Techniquesmentioning
confidence: 99%
“…As these lesions are subtle and associated with abnormal cortical thickness, indistinctness of transition between GM/WM, abnormal sulcal pattern and hyperintense signal on T1-weighted images [56], it was expected that lesions should be revealed by morphometric study. Unfortunately, the results showed some limitations of the method in detecting subtle lesions [57,58]; most likely because the location of abnormalities in FCD varies among patients, thus averaging out the abnormalities in group comparisons, and because of the limitation of VBM in analyzing single individuals against a control group. Nevertheless, a few studies showed high sensitivity in the detection of GM excess corresponding to visually detected FCD [6,16], while others concluded that the sensitivity of the method was insufficient for clinical application [57,59].…”
Section: Extratemporal Epilepsy and Vbmmentioning
confidence: 99%
“…Nevertheless, a few studies showed high sensitivity in the detection of GM excess corresponding to visually detected FCD [6,16], while others concluded that the sensitivity of the method was insufficient for clinical application [57,59]. Technical aspects in the processing of images may influence the rate of detection, as ana lysis of GM concentration (instead of GM volume) produced higher rates of lesion detection, as well as the combination of GM/WM maps [59], and the application of smaller kernels, such as 6 mm, was associated with an increase in false-positive results [58].…”
Section: Extratemporal Epilepsy and Vbmmentioning
confidence: 99%