Literature DB >> 20512899

Intercenter differences in diffusion tensor MRI acquisition.

Elisabetta Pagani1, Jochen G Hirsch, Petra J W Pouwels, Mark A Horsfield, Elisabetta Perego, Achim Gass, Stefan D Roosendaal, Frederik Barkhof, Federica Agosta, Marco Rovaris, Domenico Caputo, Antonio Giorgio, Jacqueline Palace, Silvia Marino, Nicola De Stefano, Stefan Ropele, Franz Fazekas, Massimo Filippi.   

Abstract

PURPOSE: To assess the effect on diffusion tensor (DT) magnetic resonance imaging (MRI) of acquiring data with different scanners.
MATERIALS AND METHODS: Forty-four healthy controls and 36 multiple sclerosis patients with low disability were studied using eight MR scanners with acquisition protocols that were as close to a standard protocol as possible. Between 7 and 13 subjects were studied in each center. Region-of-interest (ROI) and histogram-based analyses of fractional anisotropy (FA), axial (D(ax)), radial (D(rad)), and mean diffusivity (MD) were performed. The influence of variables such as the acquisition center and the control/patient group was determined with an analysis of variance (ANOVA) test.
RESULTS: The patient/control group explained approximately 25% of data variability of FA and D(rad) from midsagittal corpus callosum (CC) ROIs. Global FA, MD, and D(rad) in the white matter differentiated patients from controls, but with lower discriminatory power than for the CC. In the gray matter, MD discriminated patients from controls (30% of variability explained by group vs. 17% by center).
CONCLUSION: Significant variability of DT-MRI data can be attributed to the acquisition center, even when a standardized protocol is used. The use of appropriate segmentation methods and statistical models allows DT-derived metrics to differentiate patients from healthy controls.

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Year:  2010        PMID: 20512899     DOI: 10.1002/jmri.22186

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  28 in total

1.  A validation study of multicenter diffusion tensor imaging: reliability of fractional anisotropy and diffusivity values.

Authors:  R J Fox; K Sakaie; J-C Lee; J P Debbins; Y Liu; D L Arnold; E R Melhem; C H Smith; M D Philips; M Lowe; E Fisher
Journal:  AJNR Am J Neuroradiol       Date:  2011-12-15       Impact factor: 3.825

Review 2.  Nonconventional MRI and microstructural cerebral changes in multiple sclerosis.

Authors:  Christian Enzinger; Frederik Barkhof; Olga Ciccarelli; Massimo Filippi; Ludwig Kappos; Maria A Rocca; Stefan Ropele; Àlex Rovira; Torben Schneider; Nicola de Stefano; Hugo Vrenken; Claudia Wheeler-Kingshott; Jens Wuerfel; Franz Fazekas
Journal:  Nat Rev Neurol       Date:  2015-11-03       Impact factor: 42.937

3.  Connectivity-based parcellation of the thalamus in multiple sclerosis and its implications for cognitive impairment: A multicenter study.

Authors:  Alvino Bisecco; Maria A Rocca; Elisabetta Pagani; Laura Mancini; Christian Enzinger; Antonio Gallo; Hugo Vrenken; Maria Laura Stromillo; Massimiliano Copetti; David L Thomas; Franz Fazekas; Gioacchino Tedeschi; Frederik Barkhof; Nicola De Stefano; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2015-04-14       Impact factor: 5.038

Review 4.  Neuroimaging in multiple sclerosis: neurotherapeutic implications.

Authors:  Nancy L Sicotte
Journal:  Neurotherapeutics       Date:  2011-01       Impact factor: 7.620

5.  Multicenter reliability of diffusion tensor imaging.

Authors:  Vincent A Magnotta; Joy T Matsui; Dawei Liu; Hans J Johnson; Jeffrey D Long; Bradley D Bolster; Bryon A Mueller; Kelvin Lim; Susumu Mori; Karl G Helmer; Jessica A Turner; Sarah Reading; Mark J Lowe; Elizabeth Aylward; Laura A Flashman; Greg Bonett; Jane S Paulsen
Journal:  Brain Connect       Date:  2012

6.  Diffusion tensor imaging in amyotrophic lateral sclerosis--increased sensitivity with optimized region-of-interest delineation.

Authors:  T Prokscha; J Guo; S Hirsch; J Braun; I Sack; T Meyer; M Scheel
Journal:  Clin Neuroradiol       Date:  2013-05-14       Impact factor: 3.649

7.  Diffusion-weighted imaging of the head and neck in healthy subjects: reproducibility of ADC values in different MRI systems and repeat sessions.

Authors:  A S Kolff-Gart; P J W Pouwels; D P Noij; R Ljumanovic; V Vandecaveye; F de Keyzer; R de Bree; P de Graaf; D L Knol; J A Castelijns
Journal:  AJNR Am J Neuroradiol       Date:  2014-09-25       Impact factor: 3.825

8.  Multi-site study of diffusion metric variability: effects of site, vendor, field strength, and echo time on regions-of-interest and histogram-bin analyses.

Authors:  K G Helmer; M-C Chou; R I Preciado; B Gimi; N K Rollins; A Song; J Turner; S Mori
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-29

9.  Letter to the editor concerning "A new approach to corpus callosum anomalies in idiopathic scoliosis using diffusion tensor magnetic resonance imaging" by Joly O et al. (2014) Eur Spine J 23:2643-9.

Authors:  Julio Domenech; L Marti-Bonmati; A Alberich-Bayarri; G Garcia-Martí
Journal:  Eur Spine J       Date:  2016-03-02       Impact factor: 3.134

10.  White matter development in infants at risk for schizophrenia.

Authors:  Sung Jun Ahn; Emil Cornea; Veronica Murphy; Martin Styner; L Fredrik Jarskog; John H Gilmore
Journal:  Schizophr Res       Date:  2019-06-08       Impact factor: 4.939

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