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Research ArticlePediatric Neuroimaging

Diffusion Tractography Biomarkers of Pediatric Cerebellar Hypoplasia/Atrophy: Preliminary Results Using Constrained Spherical Deconvolution

S. Fiori, A. Poretti, K. Pannek, R. Del Punta, R. Pasquariello, M. Tosetti, A. Guzzetta, S. Rose, G. Cioni and R. Battini
American Journal of Neuroradiology December 2015, DOI: https://doi.org/10.3174/ajnr.A4607
S. Fiori
From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy; Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland; Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia; Department of Computing (K.P.), Imperial College London, London, United Kingdom; and Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy.
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A. Poretti
From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy; Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland; Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia; Department of Computing (K.P.), Imperial College London, London, United Kingdom; and Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy.
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K. Pannek
From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy; Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland; Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia; Department of Computing (K.P.), Imperial College London, London, United Kingdom; and Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy.
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R. Del Punta
From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy; Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland; Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia; Department of Computing (K.P.), Imperial College London, London, United Kingdom; and Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy.
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R. Pasquariello
From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy; Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland; Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia; Department of Computing (K.P.), Imperial College London, London, United Kingdom; and Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy.
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M. Tosetti
From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy; Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland; Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia; Department of Computing (K.P.), Imperial College London, London, United Kingdom; and Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy.
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A. Guzzetta
From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy; Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland; Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia; Department of Computing (K.P.), Imperial College London, London, United Kingdom; and Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy.
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S. Rose
From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy; Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland; Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia; Department of Computing (K.P.), Imperial College London, London, United Kingdom; and Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy.
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G. Cioni
From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy; Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland; Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia; Department of Computing (K.P.), Imperial College London, London, United Kingdom; and Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy.
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R. Battini
From Istituto di Ricovero e Cura a Carattere Scientifico Stella Maris Foundation (S.F., R.D.P., R.P., M.T., A.G., G.C., R.B.), Pisa, Italy; Section of Pediatric Neuroradiology (A.P.), Division of Pediatric Radiology, Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins School of Medicine, Baltimore, Maryland; Commonwealth Scientific and Industrial Research Organization (K.P., S.R.), Centre for Computational Informatics, Brisbane, Australia; Department of Computing (K.P.), Imperial College London, London, United Kingdom; and Department of Clinical and Experimental Medicine (A.G., G.C.), University of Pisa, Pisa, Italy.
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Abstract

BACKGROUND AND PURPOSE: Advances in MR imaging modeling have improved the feasibility of reconstructing crossing fibers, with increasing benefits in delineating angulated tracts such as cerebellar tracts by using tractography. We hypothesized that constrained spherical deconvolution–based probabilistic tractography could successfully reconstruct cerebellar tracts in children with cerebellar hypoplasia/atrophy and that diffusion scalars of the reconstructed tracts could differentiate pontocerebellar hypoplasia, nonprogressive cerebellar hypoplasia, and progressive cerebellar atrophy

MATERIALS AND METHODS: Fifteen children with cerebellar ataxia and pontocerebellar hypoplasia, nonprogressive cerebellar hypoplasia or progressive cerebellar atrophy and 7 controls were included in this study. Cerebellar and corticospinal tracts were reconstructed by using constrained spherical deconvolution. Scalar measures (fractional anisotropy and mean, axial and radial diffusivity) were calculated. A general linear model was used to determine differences among groups for diffusion MR imaging scalar measures, and post hoc pair-wise comparisons were performed.

RESULTS: Cerebellar and corticospinal tracts were successfully reconstructed in all subjects. Significant differences in diffusion MR imaging scalars were found among groups, with fractional anisotropy explaining the highest variability. All groups with cerebellar pathologies showed lower fractional anisotropy compared with controls, with the exception of cerebellar hypoplasia.

CONCLUSIONS: This study shows the feasibility of constrained spherical deconvolution to reconstruct cerebellar and corticospinal tracts in children with morphologic cerebellar pathologies. In addition, the preliminary results show the potential utility of quantitative analysis of scalars of the cerebellar white matter tracts in children with cerebellar pathologies such as cerebellar hypoplasia and atrophy. Further studies with larger cohorts of patients are needed to validate the clinical significance of our preliminary results.

Abbreviations

AD
axial diffusivity
CA
progressive cerebellar atrophy
CH
nonprogressive cerebellar hypoplasia
CPCT
corticopontocerebellar tract
CST
corticospinal tract
CTT
cerebellar-thalamic tract
dMRI
diffusion MR imaging
FA
fractional anisotropy
MD
mean diffusivity
PCH
pontocerebellar hypoplasia
RD
radial diffusivity
  • © 2016 American Society of Neuroradiology
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Cite this article
S. Fiori, A. Poretti, K. Pannek, R. Del Punta, R. Pasquariello, M. Tosetti, A. Guzzetta, S. Rose, G. Cioni, R. Battini
Diffusion Tractography Biomarkers of Pediatric Cerebellar Hypoplasia/Atrophy: Preliminary Results Using Constrained Spherical Deconvolution
American Journal of Neuroradiology Dec 2015, DOI: 10.3174/ajnr.A4607

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Diffusion Tractography Biomarkers of Pediatric Cerebellar Hypoplasia/Atrophy: Preliminary Results Using Constrained Spherical Deconvolution
S. Fiori, A. Poretti, K. Pannek, R. Del Punta, R. Pasquariello, M. Tosetti, A. Guzzetta, S. Rose, G. Cioni, R. Battini
American Journal of Neuroradiology Dec 2015, DOI: 10.3174/ajnr.A4607
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