2016
DOI: 10.1002/jnr.23769
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Diffusion tensor imaging: A biomarker of outcome in Krabbe's disease

Abstract: Krabbe's disease is a rare autosomal recessive lysosomal disorder resulting from deficiency of β-galactocerebrosidase that affects primarily cerebral white matter and peripheral nerves. Conventional magnetic resonance imaging (MRI) is sensitive to changes in white matter myelination, but its assessment is based purely on qualitative, visual inspection, and it is subject to interobserver variability and open to reader bias. Diffusion tensor imaging (DTI) is an advanced MRI technique that provides quantitative i… Show more

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Cited by 17 publications
(11 citation statements)
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“…[23] DTI has been reported as an in vivo biomarker of microstructural damage in normal appearing white matter in asymptomatic neonates and has a probable role in post-transplant prognosis and response assessment. [24] In our series, DTI was not available in the early-onset age group. One case from late-onset group showed reduced anisotropy in involved areas.…”
Section: Discussionmentioning
confidence: 99%
“…[23] DTI has been reported as an in vivo biomarker of microstructural damage in normal appearing white matter in asymptomatic neonates and has a probable role in post-transplant prognosis and response assessment. [24] In our series, DTI was not available in the early-onset age group. One case from late-onset group showed reduced anisotropy in involved areas.…”
Section: Discussionmentioning
confidence: 99%
“…In addition to quantitative assessments of structural imaging, microstructural imaging using diffusion and resting-state fMRI (rs-fMRI) has become increasingly important in evaluating tissue function. Scalar metrics of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) have been widely used in clinical diagnoses, including the evaluation of neonatal hypoxic-ischemic encephalopathy and pediatric metabolic disease (Lemmon et al, 2017;Poretti et al, 2016;Tekes et al, 2015;Xu et al, 2013). More recent brain network investigations have begun to quantify changes during normal and abnormal brain development, which has potential to improve our ability to predict outcome (Cui et al, 2017;Emerson et al, 2016;Tymofiyeva et al, 2013;Tymofiyeva et al, 2014;Ziv et al, 2013;Zuo et al, 2017).…”
Section: Post-processingmentioning
confidence: 99%
“…Elevated psychosine levels correlate well with disease severity (possible prognostic indicator). It is specific to confirm the diagnosis, along with clinical manifestations and imaging [ 120 , 122 , 123 , 124 , 125 ].…”
Section: Multiple Sclerosis (Ms)mentioning
confidence: 99%