Literature DB >> 21220722

Longitudinal changes in diffusion tensor-based quantitative MRI in multiple sclerosis.

D M Harrison1, B S Caffo, N Shiee, J A D Farrell, P-L Bazin, S K Farrell, J N Ratchford, P A Calabresi, D S Reich.   

Abstract

OBJECTIVE: To estimate longitudinal changes in a quantitative whole-brain and tract-specific MRI study of multiple sclerosis (MS), with the intent of assessing the feasibility of this approach in clinical trials.
METHODS: A total of 78 individuals with MS underwent a median of 3 scans over 2 years. Diffusion tensor imaging indices, magnetization transfer ratio, and T2 relaxation time were analyzed in supratentorial brain, corpus callosum, optic radiations, and corticospinal tracts by atlas-based tractography. Linear mixed-effect models estimated annualized rates of change for each index, and sample size estimates for potential clinical trials were determined.
RESULTS: There were significant changes over time in fractional anisotropy and perpendicular diffusivity in the supratentorial brain and corpus callosum, mean diffusivity in the supratentorial brain, and magnetization transfer ratio in all areas studied. Changes were most rapid in the corpus callosum, where fractional anisotropy decreased 1.7% per year, perpendicular diffusivity increased 1.2% per year, and magnetization transfer ratio decreased 0.9% per year. The T2 relaxation time changed more rapidly than diffusion tensor imaging indices and magnetization transfer ratio but had higher within-participant variability. Magnetization transfer ratio in the corpus callosum and supratentorial brain declined at an accelerated rate in progressive MS relative to relapsing-remitting MS. Power analysis yielded reasonable sample sizes (on the order of 40 participants per arm or fewer) for 1- or 2-year trials.
CONCLUSIONS: Longitudinal changes in whole-brain and tract-specific diffusion tensor imaging indices and magnetization transfer ratio can be reliably quantified, suggesting that small clinical trials using these outcome measures are feasible.

Entities:  

Mesh:

Year:  2011        PMID: 21220722      PMCID: PMC3030233          DOI: 10.1212/WNL.0b013e318206ca61

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  25 in total

1.  Diffusion tensor MR imaging of the human brain.

Authors:  C Pierpaoli; P Jezzard; P J Basser; A Barnett; G Di Chiro
Journal:  Radiology       Date:  1996-12       Impact factor: 11.105

2.  Quantitative characterization of the corticospinal tract at 3T.

Authors:  D S Reich; S A Smith; C K Jones; K M Zackowski; P C van Zijl; P A Calabresi; S Mori
Journal:  AJNR Am J Neuroradiol       Date:  2006 Nov-Dec       Impact factor: 3.825

3.  Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI.

Authors:  P J Basser; C Pierpaoli
Journal:  J Magn Reson B       Date:  1996-06

4.  Random-effects models for longitudinal data.

Authors:  N M Laird; J H Ware
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

5.  Magnetization transfer MRI metrics predict the accumulation of disability 8 years later in patients with multiple sclerosis.

Authors:  Federica Agosta; Marco Rovaris; Elisabetta Pagani; Maria Pia Sormani; Giancarlo Comi; Massimo Filippi
Journal:  Brain       Date:  2006-09-02       Impact factor: 13.501

6.  Pyramidal tract mapping by diffusion tensor magnetic resonance imaging in multiple sclerosis: improving correlations with disability.

Authors:  M Wilson; C R Tench; P S Morgan; L D Blumhardt
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-02       Impact factor: 10.154

Review 7.  Magnetization transfer magnetic resonance imaging in the assessment of neurological diseases.

Authors:  Massimo Filippi; Maria A Rocca
Journal:  J Neuroimaging       Date:  2004-10       Impact factor: 2.486

8.  Comparison of diffusion tensor-based tractography and quantified brain atrophy for analyzing demyelination and axonal loss in MS.

Authors:  Frauke Fink; Jan Klein; Michael Lanz; Tibor Mitrovics; Markus Lentschig; Horst K Hahn; Helmut Hildebrandt
Journal:  J Neuroimaging       Date:  2010-10       Impact factor: 2.486

9.  Quantitative magnetization transfer imaging in postmortem multiple sclerosis brain.

Authors:  Klaus Schmierer; Daniel J Tozer; Francesco Scaravilli; Daniel R Altmann; Gareth J Barker; Paul S Tofts; David H Miller
Journal:  J Magn Reson Imaging       Date:  2007-07       Impact factor: 4.813

10.  Detecting treatment effects on brain atrophy in relapsing remitting multiple sclerosis: sample size estimates.

Authors:  Valerie M Anderson; Jonathan W Bartlett; Nick C Fox; Leonora Fisniku; David H Miller
Journal:  J Neurol       Date:  2007-10-25       Impact factor: 6.682

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  35 in total

1.  Diffusion tensor imaging applications in multiple sclerosis patients using 3T magnetic resonance: a preliminary study.

Authors:  Lorenzo Testaverde; Laura Caporali; Eugenio Venditti; Giovanni Grillea; Claudio Colonnese
Journal:  Eur Radiol       Date:  2011-12-09       Impact factor: 5.315

Review 2.  Functional topography of the corpus callosum investigated by DTI and fMRI.

Authors:  Mara Fabri; Chiara Pierpaoli; Paolo Barbaresi; Gabriele Polonara
Journal:  World J Radiol       Date:  2014-12-28

Review 3.  Tracking cerebral white matter changes across the lifespan: insights from diffusion tensor imaging studies.

Authors:  Qian Jun Yap; Irvin Teh; Paolo Fusar-Poli; Min Yi Sum; Carissa Kuswanto; Kang Sim
Journal:  J Neural Transm (Vienna)       Date:  2013-01-18       Impact factor: 3.575

4.  Region of interest correction factors improve reliability of diffusion imaging measures within and across scanners and field strengths.

Authors:  Vijay K Venkatraman; Christopher E Gonzalez; Bennett Landman; Joshua Goh; David A Reiter; Yang An; Susan M Resnick
Journal:  Neuroimage       Date:  2015-07-02       Impact factor: 6.556

5.  Longitudinal scalar-on-functions regression with application to tractography data.

Authors:  Jan Gertheiss; Jeff Goldsmith; Ciprian Crainiceanu; Sonja Greven
Journal:  Biostatistics       Date:  2013-01-05       Impact factor: 5.899

6.  Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes.

Authors:  Lei Huang; Jeff Goldsmith; Philip T Reiss; Daniel S Reich; Ciprian M Crainiceanu
Journal:  Neuroimage       Date:  2013-06-17       Impact factor: 6.556

7.  Multiparametric MRI correlates of sensorimotor function in the spinal cord in multiple sclerosis.

Authors:  Jiwon Oh; Kathleen Zackowski; Min Chen; Scott Newsome; Shiv Saidha; Seth A Smith; Marie Diener-West; Jerry Prince; Craig K Jones; Peter C M Van Zijl; Peter A Calabresi; Daniel S Reich
Journal:  Mult Scler       Date:  2012-08-13       Impact factor: 6.312

8.  Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis.

Authors:  Jeff Goldsmith; Ciprian M Crainiceanu; Brian S Caffo; Daniel S Reich
Journal:  Neuroimage       Date:  2011-04-30       Impact factor: 6.556

Review 9.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

10.  Tract-specific quantitative MRI better correlates with disability than conventional MRI in multiple sclerosis.

Authors:  Daniel M Harrison; Navid Shiee; Pierre-Louis Bazin; Scott D Newsome; John N Ratchford; Dzung Pham; Peter A Calabresi; Daniel S Reich
Journal:  J Neurol       Date:  2012-08-12       Impact factor: 4.849

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