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Tract-Based Spatial Statistical Analysis of Diffusion Tensor Imaging in Pediatric Patients with Mitochondrial Disease: Widespread Reduction in Fractional Anisotropy of White Matter Tracts

Authors :
Jeffrey G. Ojemann
Seth D. Friedman
Sandra L. Poliachik
Dennis W. W. Shaw
Sharon S. McDaniel
Andrew Poliakov
Edward J. Novotny
Gisele E. Ishak
Russell P. Saneto
Source :
AJNR Am J Neuroradiol
Publication Year :
2012
Publisher :
American Society of Neuroradiology (ASNR), 2012.

Abstract

BACKGROUND AND PURPOSE: Often diagnosed at birth or in early childhood, mitochondrial disease presents with a variety of clinical symptoms, particularly in organs and tissues that require high energetic demand such as brain, heart, liver, and skeletal muscles. In a group of pediatric patients identified as having complex I or I/III deficits on muscle biopsy but with white matter tissue appearing qualitatively normal for age, we hypothesized that quantitative DTI analyses might unmask disturbance in microstructural integrity. MATERIALS AND METHODS: In a retrospective study, DTI and structural MR brain imaging data from 10 pediatric patients with confirmed mitochondrial disease and 10 clinical control subjects were matched for age, sex, scanning parameters, and date of examination. Paired TBSS was performed to evaluate differences in FA, MD, and the separate diffusion direction terms (λr and λa). RESULTS: In patients with mitochondrial disease, significant widespread reductions in FA values were shown in white matter tracts. Mean diffusivity values were significantly increased in patients, having a sparser distribution of affected regions compared with FA. Separate diffusion maps showed significant increase in λr and no significant changes in λa. CONCLUSIONS: Despite qualitatively normal-appearing white matter tissues, patients with complex I or I/III deficiency have widespread microstructural changes measurable with quantitative DTI.

Details

ISSN :
1936959X and 01956108
Volume :
33
Database :
OpenAIRE
Journal :
American Journal of Neuroradiology
Accession number :
edsair.doi.dedup.....30cc387904f345aefba6b802cc26f22c