Literature DB >> 18372415

Reproducibility, interrater agreement, and age-related changes of fractional anisotropy measures at 3T in healthy subjects: effect of the applied b-value.

S Bisdas1, D E Bohning, N Besenski, J S Nicholas, Z Rumboldt.   

Abstract

BACKGROUND AND
PURPOSE: There is no reproducibility study of fractional anisotropy (FA) measurements at 3T using regions of interest (ROIs). Our purpose was to establish the extent and statistical significance of the interrater variability, the variability observed with 2 different b-values, and in 2 separate scanning sessions.
MATERIALS AND METHODS: Twelve healthy volunteers underwent MR imaging twice. MR imaging was performed on a 3T unit, and FA maps were analyzed independently by 2 observers using ROIs positioned in the corpus callosum, internal capsules, corticospinal tracts, and right thalamus. Changes in FA values (x10(3)) measured with 2 b-values (700 and 1000 s/mm(2)), age-related differences, interobserver agreement, and measurement reproducibility were assessed.
RESULTS: In the right internal capsule genu (FA = 702/728; b = 1000/700 s/mm(2)) and the left anterior limb of the internal capsule (AIC; FA = 617/745; b = 1000/700 s/mm(2)), the FA values were significantly different between the 2 b-values (P = .02 and .05, respectively). Significant age-related differences in FA were observed in the genu of the corpus callosum and in the left AIC. Interrater measurements showed fair-to-moderate agreement for most anatomic structures. The lowest significant change for a single subject regarding any FA values between the 2 sessions was in the corpus callosum (4%), whereas the highest one was in the corticospinal tracts (27%). The Bland-Altman plot analysis showed that the 1000-s/mm(2) b-value gave satisfactorily reproducible measurements equally good or better than the 700-s/mm(2) b-value.
CONCLUSION: The reproducibility of FA estimates using ROIs was satisfactory. Measurements with a b-value at 1000 s/mm(2) showed superior reproducibility in most anatomic locations.

Mesh:

Year:  2008        PMID: 18372415      PMCID: PMC8118811          DOI: 10.3174/ajnr.A1044

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  33 in total

1.  Diffusion-tensor MR imaging of normal brain maturation: a guide to structural development and myelination.

Authors:  Jeffrey H Miller; Robert C McKinstry; Joseph V Philip; Pratik Mukherjee; Jeffrey J Neil
Journal:  AJR Am J Roentgenol       Date:  2003-03       Impact factor: 3.959

2.  Assessing DTI data quality using bootstrap analysis.

Authors:  S Heim; K Hahn; P G Sämann; L Fahrmeir; D P Auer
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

3.  Multiparametric magnetic resonance imaging analysis of the corticospinal tract in multiple sclerosis.

Authors:  Daniel S Reich; Seth A Smith; Kathleen M Zackowski; Eliza M Gordon-Lipkin; Craig K Jones; Jonathan A D Farrell; Susumu Mori; Peter C M van Zijl; Peter A Calabresi
Journal:  Neuroimage       Date:  2007-08-15       Impact factor: 6.556

Review 4.  Diffusion tensor magnetic resonance imaging.

Authors:  Vikas Gulani; Pia C Sundgren
Journal:  J Neuroophthalmol       Date:  2006-03       Impact factor: 3.042

5.  Diffusion-tensor imaging at 3 T: detection of white matter alterations in neurological patients on the basis of normal values.

Authors:  Michael Deppe; Thomas Duning; Siawoosh Mohammadi; Wolfram Schwindt; Harald Kugel; Stefan Knecht; E Bernd Ringelstein
Journal:  Invest Radiol       Date:  2007-06       Impact factor: 6.016

6.  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

7.  Increased self-diffusion of brain water in normal aging.

Authors:  P Gideon; C Thomsen; O Henriksen
Journal:  J Magn Reson Imaging       Date:  1994 Mar-Apr       Impact factor: 4.813

8.  Correlation between language organization and diffusion tensor abnormalities in refractory partial epilepsy.

Authors:  Regula S Briellmann; L Anne Mitchell; Anthony B Waites; David F Abbott; Gaby S Pell; Michael M Saling; Graeme D Jackson
Journal:  Epilepsia       Date:  2003-12       Impact factor: 5.864

9.  Reproducibility of quantitative cerebral T2 relaxometry, diffusion tensor imaging, and 1H magnetic resonance spectroscopy at 3.0 Tesla.

Authors:  Jacobus F A Jansen; M Eline Kooi; Alfons G H Kessels; Klaas Nicolay; Walter H Backes
Journal:  Invest Radiol       Date:  2007-06       Impact factor: 6.016

10.  Diffusion tensor imaging as potential biomarker of white matter injury in diffuse axonal injury.

Authors:  Thierry A G M Huisman; Lee H Schwamm; Pamela W Schaefer; Walter J Koroshetz; Neetha Shetty-Alva; Yelda Ozsunar; Ona Wu; A Gregory Sorensen
Journal:  AJNR Am J Neuroradiol       Date:  2004-03       Impact factor: 3.825

View more
  38 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.  Combined PET/CT-perfusion in patients with head and neck cancers.

Authors:  Patrick Veit-Haibach; Daniel Schmid; Klaus Strobel; Jan D Soyka; Niklaus G Schaefer; Stephan K Haerle; Gerhard Huber; Gabriele Studer; Burkhardt Seifert; Thomas F Hany
Journal:  Eur Radiol       Date:  2012-07-08       Impact factor: 5.315

4.  Inter- and intra-rater reliability of diffusion tensor imaging parameters in the normal pediatric spinal cord.

Authors:  Nadia Barakat; Pallav Shah; Scott H Faro; John P Gaughan; Devon Middleton; M J Mulcahey; Feroze B Mohamed
Journal:  World J Radiol       Date:  2015-09-28

5.  Brain aging in humans, chimpanzees (Pan troglodytes), and rhesus macaques (Macaca mulatta): magnetic resonance imaging studies of macro- and microstructural changes.

Authors:  Xu Chen; Bhargav Errangi; Longchuan Li; Matthew F Glasser; Lars T Westlye; Anders M Fjell; Kristine B Walhovd; Xiaoping Hu; James G Herndon; Todd M Preuss; James K Rilling
Journal:  Neurobiol Aging       Date:  2013-04-24       Impact factor: 4.673

6.  Reproducibility of Tract-based and Region-of-Interest DTI Analysis of Long Association Tracts.

Authors:  N Brandstack; T Kurki; J Laalo; T Kauko; O Tenovuo
Journal:  Clin Neuroradiol       Date:  2014-10-05       Impact factor: 3.649

7.  Toward Precision and Reproducibility of Diffusion Tensor Imaging: A Multicenter Diffusion Phantom and Traveling Volunteer Study.

Authors:  E M Palacios; A J Martin; M A Boss; F Ezekiel; Y S Chang; E L Yuh; M J Vassar; D M Schnyer; C L MacDonald; K L Crawford; A Irimia; A W Toga; P Mukherjee
Journal:  AJNR Am J Neuroradiol       Date:  2016-12-22       Impact factor: 3.825

Review 8.  Substantia nigra fractional anisotropy is not a diagnostic biomarker of Parkinson's disease: A diagnostic performance study and meta-analysis.

Authors:  Fabiana C C Hirata; João R Sato; Gilson Vieira; Leandro T Lucato; Claudia C Leite; Edson Bor-Seng-Shu; Bruno F Pastorello; Maria C G Otaduy; Khallil T Chaim; Kenia R Campanholo; Natalia P Novaes; Luciano Magalhães Melo; Márcia R Gonçalves; Felipe Barjud Pereira do Nascimento; Manoel Jacobsen Teixeira; Egberto Reis Barbosa; Edson Amaro; Ellison Fernando Cardoso
Journal:  Eur Radiol       Date:  2016-10-05       Impact factor: 5.315

9.  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

10.  A Comparative evaluation of voxel-based spatial mapping in diffusion tensor imaging.

Authors:  Ryan P Cabeen; Mark E Bastin; David H Laidlaw
Journal:  Neuroimage       Date:  2016-11-12       Impact factor: 6.556

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.