Literature DB >> 14508779

Replicability of diffusion tensor imaging measurements of fractional anisotropy and trace in brain.

Adolf Pfefferbaum1, Elfar Adalsteinsson, Edith V Sullivan.   

Abstract

PURPOSE: To evaluate within-scanner and between-scanner reliability of fractional anisotropy (FA) and trace (sum of the diagonal elements of the diffusion tensor) as measured by diffusion tensor imaging (DTI).
MATERIALS AND METHODS: Ten young healthy adults were scanned on three separate days, on two different systems made by the same manufacturer. One scan was acquired at one site, and two scans were acquired on two different occasions on another scanner at another site. Three levels of analysis were used to compare the DTI metrics: 1) a voxel-by-voxel analysis of all supratentorial brain (gray matter + white matter + cerebrospinal fluid) and of supratentorial white matter; 2) a slice-by-slice analysis of supratentorial white matter; and 3) a single-region analysis of the corpus callosum.
RESULTS: The voxel-by-voxel analysis of all supratentorial brain found that FA and trace measures and correlations were equivalently and significantly higher within than across scanners. For supratentorial white matter, FA was similar within and across scanners, whereas trace demonstrated across-scanner bias. A similar pattern was observed for the slice-by-slice comparison. For the single-region analysis of the corpus callosum, within-scanner FA and trace measures were highly reproducible for FA (CV = 1.9%) and trace (CV = 2.6%), but both DTI measures showed a systematic mean bias across scanners (CV = 4.5% for FA and CV = 7.5% for trace).
CONCLUSION: These estimates of measurement variation and scanner bias can be used to predict effect sizes for longitudinal and multisite studies using diffusion tensor imaging. Copyright 2003 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2003        PMID: 14508779     DOI: 10.1002/jmri.10377

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


  74 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.  Multicentre imaging measurements for oncology and in the brain.

Authors:  P S Tofts; D J Collins
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

3.  Fractional anisotropy and mean diffusivity parameters of the brain white matter tracts in preterm infants: reproducibility of region-of-interest measurements.

Authors:  Virva K Lepomäki; Teemu P Paavilainen; Saija A M Hurme; Markku E Komu; Riitta K Parkkola
Journal:  Pediatr Radiol       Date:  2011-10-18

4.  Regional distribution of measurement error in diffusion tensor imaging.

Authors:  Stefano Marenco; Robert Rawlings; Gustavo K Rohde; Alan S Barnett; Robyn A Honea; Carlo Pierpaoli; Daniel R Weinberger
Journal:  Psychiatry Res       Date:  2006-06-21       Impact factor: 3.222

5.  Diffusion tensor imaging in children and adolescents: reproducibility, hemispheric, and age-related differences.

Authors:  David Bonekamp; Lidia M Nagae; Mahaveer Degaonkar; Melissa Matson; Wael M A Abdalla; Peter B Barker; Susumu Mori; Alena Horská
Journal:  Neuroimage       Date:  2006-11-07       Impact factor: 6.556

Review 6.  Diffusion tensor MR imaging and fiber tractography: technical considerations.

Authors:  P Mukherjee; S W Chung; J I Berman; C P Hess; R G Henry
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-13       Impact factor: 3.825

7.  Regional differences in diffusion tensor imaging measurements: assessment of intrarater and interrater variability.

Authors:  A Ozturk; A D Sasson; J A D Farrell; B A Landman; A C B S da Motta; A Aralasmak; D M Yousem
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-20       Impact factor: 3.825

8.  Diffusion tensor imaging-based fractional anisotropy quantification in the corticospinal tract of patients with amyotrophic lateral sclerosis using a probabilistic mixture model.

Authors:  S K Schimrigk; B Bellenberg; M Schlüter; B Stieltjes; R Drescher; J Rexilius; C Lukas; H K Hahn; H Przuntek; O Köster
Journal:  AJNR Am J Neuroradiol       Date:  2007-04       Impact factor: 3.825

9.  Human motor corpus callosum: topography, somatotopy, and link between microstructure and function.

Authors:  Mathias Wahl; Birgit Lauterbach-Soon; Elke Hattingen; Patrick Jung; Oliver Singer; Steffen Volz; Johannes C Klein; Helmuth Steinmetz; Ulf Ziemann
Journal:  J Neurosci       Date:  2007-11-07       Impact factor: 6.167

10.  Cognitive control and white matter callosal microstructure in methamphetamine-dependent subjects: a diffusion tensor imaging study.

Authors:  Ruth Salo; Thomas E Nordahl; Michael H Buonocore; Yutaka Natsuaki; Christy Waters; Charles D Moore; Gantt P Galloway; Martin H Leamon
Journal:  Biol Psychiatry       Date:  2008-09-23       Impact factor: 13.382

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.