Literature DB >> 29064137

Diffusion Tensor Imaging Shows Corpus Callosum Differences between High-Grade Gliomas and Metastases.

Nicholas S Cho1,2, Mehrnaz Jenabi1,2, Julio Arevalo-Perez1,2, Nicole Brennan1,2, Robert J Young1,2, Sasan Karimi1,2, Andrei I Holodny1,2, Kyung K Peck1,2.   

Abstract

BACKGROUND AND
PURPOSE: The corpus callosum (CC) has an important role in regulating interhemispheric transfer and is thought to be instrumental in contralateral brain reorganization in patients with brain tumors, as suggested by a previous study reporting callosal differences between language dominance groups through diffusion tensor imaging (DTI) characteristics. The purpose of this study was to explore the structural differences in the CC between high-grade gliomas (HGGs) and metastatic tumors (METs) using the DTI characteristics of fractional anisotropy (FA), mean diffusivity (MD), and axial diffusivity (AD).
METHODS: HGG (n = 30) and MET (n = 20) subjects with Magnetic Resonance Imaging (MRI) scans including DTI were retrospectively studied. The tumor and CC were segmented using the 3-dimensional T1-weighted scans to determine their volumes. The region of interest (ROI; mean volume of the ROI = 3,090 ± 464 mm3 ) of the body of the CC was overlaid onto the DTI parametric maps to obtain the averaged FA, MD, and AD values.
RESULTS: There were significant differences in the distributions of FA and MD values between the two patient groups (mean FA for HGG/MET = .691/.646, P < .05; mean MD for HGG/MET = .894×10-3 mm 2/ second /.992×10-3 mm2 /second, P < .01), while there was no correlation between the DTI parameters and the anatomical volumes.
CONCLUSION: These results suggest that there is more contralateral brain reorganization in HGG patients than MET patients and that neither the tumor nor callosal volume impact the degree of contralateral brain reorganization.
Copyright © 2017 by the American Society of Neuroimaging.

Entities:  

Keywords:  Corpus callosum; DTI; brain reorganization; brain tumor; fractional anisotropy

Mesh:

Year:  2017        PMID: 29064137     DOI: 10.1111/jon.12478

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  2 in total

1.  Functional connectivity of the default mode, dorsal attention and fronto-parietal executive control networks in glial tumor patients.

Authors:  Mickael Tordjman; Guillaume Madelin; Pradeep Kumar Gupta; Christine Cordova; Sylvia C Kurz; Daniel Orringer; John Golfinos; Douglas Kondziolka; Yulin Ge; Ruoyu Luie Wang; Mariana Lazar; Rajan Jain
Journal:  J Neurooncol       Date:  2021-02-02       Impact factor: 4.130

2.  Resting-state functional MRI language network connectivity differences in patients with brain tumors: exploration of the cerebellum and contralesional hemisphere.

Authors:  Nicholas S Cho; Kyung K Peck; Madeleine N Gene; Mehrnaz Jenabi; Andrei I Holodny
Journal:  Brain Imaging Behav       Date:  2021-08-01       Impact factor: 3.224

  2 in total

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