Literature DB >> 16484426

Distribution characteristics, reproducibility, and precision of region of interest-based hippocampal diffusion tensor imaging measures.

M J Müller1, M Mazanek, C Weibrich, P R Dellani, P Stoeter, A Fellgiebel.   

Abstract

BACKGROUND AND
PURPOSE: For adequate interpretation of diffusion tensor imaging (DTI) parameters empirical distribution characteristics, precision, and reproducibility should be known. The present study investigated distribution and reliability parameters of hippocampal fractional anisotropy (FA) and mean diffusivity (MD).
METHODS: FA and MD values were averaged in hippocampal regions of interest in 20 subjects (10 women and 10 men; age range, 25-69 years). Regions of interest were manually placed bilaterally by one investigator at 2 occasions, and by a second independent investigator. Sample distributions of FA and MD values were compared with normal distributions. Intraclass coefficients (ICCs), standard errors of measurement (SEMs), and coefficients of variation (CVs) with confidence intervals (CI95s) were computed.
RESULTS: The results did not show any deviation of averaged FA (0.237 +/- 0.017) and MD (775 +/- 28 microm2/s) values from normal distribution. Intraobserver reliability (ICC > or = 0.90) and precision (CV < or = 3.5%) were high for all measures. Interobserver reliability reached values of ICC > or = 0.84 and CV < or = 4.1%. FA yielded lower precision (CV 2.2-4.1%) than MD (CV 1.3-2.5%), CI95s were around +/-0.015-0.020 and +/-25-30 microm2/s for FA and MD, respectively. FA differences of 0.020-0.030 and MD differences of 40-50 microm2/s can be assumed to reflect reliably distinct values in hippocampal regions.
CONCLUSION: The results are in line with previous reports on reliability of DTI measures by using different designs and methodology. Notwithstanding the difficulties associated with region of interest-derived DTI measurements in hippocampal regions, the present approach provides estimates of distribution characteristics and precision applicable to routine assessments of DTI parameters in clinical and research context.

Entities:  

Mesh:

Year:  2006        PMID: 16484426      PMCID: PMC8148767     

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


  26 in total

1.  Statistical artifacts in diffusion tensor MRI (DT-MRI) caused by background noise.

Authors:  P J Basser; S Pajevic
Journal:  Magn Reson Med       Date:  2000-07       Impact factor: 4.668

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

Authors:  Adolf Pfefferbaum; Elfar Adalsteinsson; Edith V Sullivan
Journal:  J Magn Reson Imaging       Date:  2003-10       Impact factor: 4.813

3.  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

4.  Confidence intervals illuminate absence of evidence.

Authors:  Doug Altman; J Martin Bland
Journal:  BMJ       Date:  2004-04-24

5.  Microscopic disease in normal-appearing white matter on conventional MR images in patients with multiple sclerosis: assessment with magnetization-transfer measurements.

Authors:  L A Loevner; R I Grossman; J A Cohen; F J Lexa; D Kessler; D L Kolson
Journal:  Radiology       Date:  1995-08       Impact factor: 11.105

6.  Estimation of the effective self-diffusion tensor from the NMR spin echo.

Authors:  P J Basser; J Mattiello; D LeBihan
Journal:  J Magn Reson B       Date:  1994-03

7.  Diffusion-weighted magnetic resonance imaging in Alzheimer's disease.

Authors:  T A Sandson; O Felician; R R Edelman; S Warach
Journal:  Dement Geriatr Cogn Disord       Date:  1999 Mar-Apr       Impact factor: 2.959

8.  Volumetry and diffusion tensor imaging of hippocampal subregions in schizophrenia.

Authors:  Peter Kalus; Caroline Buri; Johannes Slotboom; Jan Gralla; Luca Remonda; Thomas Dierks; Werner K Strik; Gerhard Schroth; Claus Kiefer
Journal:  Neuroreport       Date:  2004-04-09       Impact factor: 1.837

9.  Noninvasive in vivo demonstration of the connections of the human parahippocampal gyrus.

Authors:  H W R Powell; M Guye; G J M Parker; M R Symms; P Boulby; M J Koepp; Gareth J Barker; J S Duncan
Journal:  Neuroimage       Date:  2004-06       Impact factor: 6.556

10.  From diffusion tractography to quantitative white matter tract measures: a reproducibility study.

Authors:  O Ciccarelli; G J M Parker; A T Toosy; C A M Wheeler-Kingshott; G J Barker; P A Boulby; D H Miller; A J Thompson
Journal:  Neuroimage       Date:  2003-02       Impact factor: 6.556

View more
  11 in total

1.  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

2.  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

3.  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

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

Authors:  S Bisdas; D E Bohning; N Besenski; J S Nicholas; Z Rumboldt
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-27       Impact factor: 3.825

5.  Differences in microstructural alterations of the hippocampus in Alzheimer disease and idiopathic normal pressure hydrocephalus: a diffusion tensor imaging study.

Authors:  Y J Hong; B Yoon; Y S Shim; A H Cho; S C Lim; K J Ahn; D W Yang
Journal:  AJNR Am J Neuroradiol       Date:  2010-07-29       Impact factor: 3.825

6.  Diffusion tensor imaging of the sural nerve in normal controls.

Authors:  Boklye Kim; Ashok Srinivasan; Brian Sabb; Eva L Feldman; Rodica Pop-Busui
Journal:  Clin Imaging       Date:  2014-04-28       Impact factor: 1.605

7.  Ultra-high resolution diffusion tensor imaging of the microscopic pathways of the medial temporal lobe.

Authors:  Michael M Zeineh; Samantha Holdsworth; Stefan Skare; Scott W Atlas; Roland Bammer
Journal:  Neuroimage       Date:  2012-06-05       Impact factor: 6.556

8.  Exploring temporospatial changes in glucose metabolic disorder, learning, and memory dysfunction in a rat model of diffuse axonal injury.

Authors:  Jia Li; Lei Gu; Dong-Fu Feng; Fang Ding; Guangyao Zhu; Jiandong Rong
Journal:  J Neurotrauma       Date:  2012-11-20       Impact factor: 5.269

9.  Estimates of brain age for gray matter and white matter in younger and older adults: Insights into human intelligence.

Authors:  Ehsan Shokri-Kojori; Ilana J Bennett; Zuri A Tomeldan; Daniel C Krawczyk; Bart Rypma
Journal:  Brain Res       Date:  2021-03-15       Impact factor: 3.610

10.  Diffusion imaging changes in grey matter in Alzheimer's disease: a potential marker of early neurodegeneration.

Authors:  Philip S J Weston; Ivor J A Simpson; Natalie S Ryan; Sebastien Ourselin; Nick C Fox
Journal:  Alzheimers Res Ther       Date:  2015-07-01       Impact factor: 6.982

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.