Anisotropic Diffusion Properties in Infants with Hydrocephalus: A Diffusion Tensor Imaging Study

Yuan, Weihong; Mangano, Francesco T.; Air, Ellen L.; Holland, Scott K.; Jones, Blaise V.; Altaye, Mekibib; Bierbrauer, Karin

doi:10.3174/ajnr.a1663

Cited by 55 publications

(54 citation statements)

References 28 publications

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“…One could argue that this is remarkable because FGFR genes have a major influence on myelinization of WM tracts by involving the development of oligodendrocytes, 31 while the TWIST1 gene responsible for SaethreChotzen syndrome is important in mesenchymal cell lineage. 32,33 Similar to the findings in the study of Yuan et al 34 regarding DTI in infants with hydrocephalus, the frontal occipital horn ratio (ie, ventricular size) was significantly related to a lower FA and higher diffusivity properties in the genu and corpus of the corpus callosum in our study. This finding might be caused by the increased amount of water or edema in the extracellular space, 35,36 because these structures are located closest to the ventricles.…”

Section: Discussionsupporting

confidence: 81%

Diffusion Tensor Imaging and Fiber Tractography in Children with Craniosynostosis Syndromes

Rijken¹,

Leemans

Lucas³

et al. 2015

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Patients with craniosynostosis syndromes caused by mutations in FGFR-2, FGFR-3, and TWIST1 genes are characterized by having prematurely fused skull sutures and skull base synchondroses, which result in a skull deformity and are accompanied by brain anomalies, including altered white matter microarchitecture. In this study, the reliability and reproducibility of DTI fiber tractography was investigated in these patients. The outcomes were compared with those of controls.

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Section: Discussionsupporting

confidence: 81%

Diffusion Tensor Imaging and Fiber Tractography in Children with Craniosynostosis Syndromes

Rijken¹,

Leemans

Lucas³

et al. 2015

AJNR Am J Neuroradiol

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“…The method is similar to the approach of Hermoye et al 8 and has also been described in our past studies. 15,24 Each region of interest was placed manually by a single investigator (W.Y. ), with the assistance of a neuroradiologist (B.V.J.)…”

Section: Selection Of Regions Of Interestmentioning

confidence: 99%

“…[14][15][16] Previous DTI studies of WM development have been limited by small numbers of pediatric patients, inclusion of data from multiple institutions, combination of adult and pediatric data, or inclusion of potentially biasing pathologies without further follow-up. 4,8,13,[17][18][19][20][21][22] The aim of our study was, thus, to report a representative dataset of normal age-related changes in FA and MD values detected in the developing brain, derived from 202 healthy participants ranging in age from birth to adolescence.…”

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confidence: 99%

DTI Values in Key White Matter Tracts from Infancy through Adolescence

Cancelliere

Mangano²,

Air³

et al. 2013

AJNR Am J Neuroradiol

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“…Several other studies have looked at DTI changes following surgery for hydrocephalus. 1,6,7,9,15 In the present study, we investigated a group of pediatric patients with ventriculomegaly with various clinical presentations. We evaluated several DTI parameters in different regions of interest (ROIs) to find the most sensitive parameters for clinical decision making in hydrocephalus.…”

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confidence: 99%

Clinical benefits of diffusion tensor imaging in hydrocephalus

Ben-Sira

Goder

Bassan³

et al. 2015

PED

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OBJECT The object of this study was to use diffusion tensor imaging (DTI) to evaluate and characterize white matter changes in hydrocephalus. METHODS The authors performed a retrospective analysis of DTI in a cohort of patients with hydrocephalus (n = 35), 19 of whom had both pre- and postsurgical imaging studies. These patient’s DTI values were compared with values extracted from age-dependent trend lines computed from a healthy subject group (n = 70, age span 14 months-14 years). Several DTI parameters in different regions of interest (ROIs) were evaluated to find the most sensitive parameters for clinical decision making in hydrocephalus. RESULTS Compared with healthy controls, patients with active hydrocephalus had a statistically significant change in all DTI parameters. The most sensitive and specific DTI parameter for predicting hydrocephalus was axial diffusivity (λ1) measured at the level of the corona radiata. Diffusion tensor imaging parameters correlated with several conventional radiological parameters in the assessment of hydrocephalus but were not superior to them. There was no convincing correlation between clinical disease severity and DTI parameters. When examining the pre- and postsurgical effect, it was found that DTI may be a sensitive tool for estimating tissue improvement. CONCLUSIONS This large-cohort study with a multidisciplinary approach combining clinical, neurological, radiological, and multiple DTI parameters revealed the most sensitive DTI parameters for identifying hydrocephalus and suggested that they may serve as an important tool for the disorder’s quantitative radiological assessment.

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Anisotropic Diffusion Properties in Infants with Hydrocephalus: A Diffusion Tensor Imaging Study

Cited by 55 publications

References 28 publications

Diffusion Tensor Imaging and Fiber Tractography in Children with Craniosynostosis Syndromes

Diffusion Tensor Imaging and Fiber Tractography in Children with Craniosynostosis Syndromes

DTI Values in Key White Matter Tracts from Infancy through Adolescence

Clinical benefits of diffusion tensor imaging in hydrocephalus

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