Literature DB >> 17729348

Application of voxelwise analysis in the detection of regions of reduced fractional anisotropy in multiple sclerosis patients.

Sunil A Patel1, Barbara A Hum, Carlos F Gonzalez, Robert J Schwartzman, Scott H Faro, Feroze B Mohamed.   

Abstract

PURPOSE: To investigate the utility of voxelwise analysis in the detection of lesions in the normal appearing white matter (NAWM) of individual multiple sclerosis (MS) patients.
MATERIALS AND METHODS: Diffusion tensor imaging (DTI) was performed on 10 normal controls and six patients with MS lesions. The fractional anisotropy (FA) maps derived from the diffusion-weighted images were then spatially normalized (via an affine transformation) into Montreal Neurological Institute (MNI) space, and the normalized FA map of each of the patients was compared voxelwise with the normalized FA maps of the group of normals in a one-sample t-test (P = 0.0001). Two independent board-certified neuroradiologists reviewed the data.
RESULTS: In the patient data for all six cases, the two reviewers determined detection sensitivities of 72% and 96% for the voxelwise technique based on known fluid-attenuated inversion-recovery (FLAIR) lesions. In addition, between the two reviewers, nine NAWM regions exhibiting FA reductions were identified in the six patients. However, numerous regions of abnormal FA were detected that were attributed to poor intersubject image registration.
CONCLUSION: Voxelwise analysis of spatially normalized FA maps has the potential to identify regions of FA reduction in lesions and in the NAWM of individual MS patients in a rapid and reproducible fashion. J. Magn. Reson. Imaging 2007;26:552-556. (c) 2007 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2007        PMID: 17729348     DOI: 10.1002/jmri.21076

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  6 in total

Review 1.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

2.  Methods for identifying subject-specific abnormalities in neuroimaging data.

Authors:  Andrew R Mayer; Edward J Bedrick; Josef M Ling; Trent Toulouse; Andrew Dodd
Journal:  Hum Brain Mapp       Date:  2014-06-13       Impact factor: 5.038

Review 3.  White matter microstructure and cognitive decline in metabolic syndrome: a review of diffusion tensor imaging.

Authors:  Freddy J Alfaro; Anna Gavrieli; Patricia Saade-Lemus; Vasileios-Arsenios Lioutas; Jagriti Upadhyay; Vera Novak
Journal:  Metabolism       Date:  2017-09-08       Impact factor: 8.694

4.  Characterization of white matter degeneration in elderly subjects by magnetic resonance diffusion and FLAIR imaging correlation.

Authors:  Wang Zhan; Yu Zhang; Susanne G Mueller; Peter Lorenzen; Stathis Hadjidemetriou; Norbert Schuff; Michael W Weiner
Journal:  Neuroimage       Date:  2009-02-20       Impact factor: 6.556

5.  Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone induced demyelination and spontaneous remyelination.

Authors:  C Guglielmetti; J Veraart; E Roelant; Z Mai; J Daans; J Van Audekerke; M Naeyaert; G Vanhoutte; R Delgado Y Palacios; J Praet; E Fieremans; P Ponsaerts; J Sijbers; A Van der Linden; M Verhoye
Journal:  Neuroimage       Date:  2015-10-23       Impact factor: 6.556

6.  Whole brain approaches for identification of microstructural abnormalities in individual patients: comparison of techniques applied to mild traumatic brain injury.

Authors:  Namhee Kim; Craig A Branch; Mimi Kim; Michael L Lipton
Journal:  PLoS One       Date:  2013-03-26       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.