Literature DB >> 16169126

Multicenter assessment of reliability of cranial MRI.

M Ewers1, S J Teipel, O Dietrich, S O Schönberg, F Jessen, R Heun, P Scheltens, L van de Pol, N R Freymann, H-J Moeller, H Hampel.   

Abstract

Clinical utility of magnetic resonance imaging (MRI) for the diagnosis and assessment of neurodegenerative diseases may depend upon the reliability of MRI measurements, especially when applied within a multicenter context. In the present study, we assessed the reliability of MRI through a phantom test at a total of eleven clinics. Performance and entry criteria were defined liberally in order to support generalizability of the results. For manual hippocampal volumetry, automatic segmentation of brain compartments and voxel-based morphometry, multicenter variability was assessed on the basis of MRIs of a single subject scanned at ten of the eleven sites. In addition, cranial MRI scans obtained from 73 patients with Alzheimer's disease (AD) and 76 patients with mild cognitive impairment were collected at subset of six centers to assess differences in grey matter volume. Results show that nine out of eleven centers tested met the reliability criteria of the phantom test, where two centers showed aberrations in spatial resolution, slice thickness and slice position. The coefficient of variation was 3.55% for hippocampus volumetry, 5.02% for grey matter, 4.87% for white matter and 4.66% for cerebrospinal fluid (CSF). The coefficient of variation was 12.81% (S.D.=9.06) for the voxel intensities within grey matter and 8.19% (S.D.=6.9) within white matter. Power analysis for the detection of a difference in the volumes of grey matter between AD and MCI patients across centers (d=0.42) showed that the total sample size needed is N=180. In conclusion, despite minimal inclusion criteria, the reliability of MRI across centers was relatively good.

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Year:  2005        PMID: 16169126     DOI: 10.1016/j.neurobiolaging.2005.05.032

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  35 in total

Review 1.  Biomarkers for Alzheimer's disease: academic, industry and regulatory perspectives.

Authors:  Harald Hampel; Richard Frank; Karl Broich; Stefan J Teipel; Russell G Katz; John Hardy; Karl Herholz; Arun L W Bokde; Frank Jessen; Yvonne C Hoessler; Wendy R Sanhai; Henrik Zetterberg; Janet Woodcock; Kaj Blennow
Journal:  Nat Rev Drug Discov       Date:  2010-07       Impact factor: 84.694

2.  Mapping reliability in multicenter MRI: voxel-based morphometry and cortical thickness.

Authors:  Hugo G Schnack; Neeltje E M van Haren; Rachel M Brouwer; G Caroline M van Baal; Marco Picchioni; Matthias Weisbrod; Heinrich Sauer; Tyrone D Cannon; Matti Huttunen; Claude Lepage; D Louis Collins; Alan Evans; Robin M Murray; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2010-04-16       Impact factor: 5.038

3.  Influence of signal intensity non-uniformity on brain volumetry using an atlas-based method.

Authors:  Masami Goto; Osamu Abe; Tosiaki Miyati; Hiroyuki Kabasawa; Hidemasa Takao; Naoto Hayashi; Tomomi Kurosu; Takeshi Iwatsubo; Fumio Yamashita; Hiroshi Matsuda; Harushi Mori; Akira Kunimatsu; Shigeki Aoki; Kenji Ino; Keiichi Yano; Kuni Ohtomo
Journal:  Korean J Radiol       Date:  2012-06-18       Impact factor: 3.500

4.  Longitudinal gray matter changes in multiple sclerosis--differential scanner and overall disease-related effects.

Authors:  Kerstin Bendfeldt; Louis Hofstetter; Pascal Kuster; Stefan Traud; Nicole Mueller-Lenke; Yvonne Naegelin; Ludwig Kappos; Achim Gass; Thomas E Nichols; Frederik Barkhof; Hugo Vrenken; Stefan D Roosendaal; Jeroen J G Geurts; Ernst-Wilhelm Radue; Stefan J Borgwardt
Journal:  Hum Brain Mapp       Date:  2011-04-29       Impact factor: 5.038

5.  Repeatability of measured brain volume by atlas-based method using T1-weighted image.

Authors:  Masami Goto; Tosiaki Miyati; Osamu Abe; Hidemasa Takao; Tomomi Kurosu; Naoto Hayashi; Shigeki Aoki; Harushi Mori; Akira Kunimatsu; Kenji Ino; Keiichi Yano; Kuni Ohtomo
Journal:  J Digit Imaging       Date:  2012-02       Impact factor: 4.056

6.  Effect of scanner in longitudinal diffusion tensor imaging studies.

Authors:  Hidemasa Takao; Naoto Hayashi; Hiroyuki Kabasawa; Kuni Ohtomo
Journal:  Hum Brain Mapp       Date:  2011-03-09       Impact factor: 5.038

7.  Contingency awareness as a prerequisite for differential contextual fear conditioning.

Authors:  Christian Baeuchl; Michael Hoppstädter; Patric Meyer; Herta Flor
Journal:  Cogn Affect Behav Neurosci       Date:  2019-08       Impact factor: 3.282

8.  MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths.

Authors:  Jorge Jovicich; Silvester Czanner; Xiao Han; David Salat; Andre van der Kouwe; Brian Quinn; Jenni Pacheco; Marilyn Albert; Ronald Killiany; Deborah Blacker; Paul Maguire; Diana Rosas; Nikos Makris; Randy Gollub; Anders Dale; Bradford C Dickerson; Bruce Fischl
Journal:  Neuroimage       Date:  2009-02-20       Impact factor: 6.556

9.  [Alzheimer's disease and vascular dementia. Determination of atrophy of the corpus callosum and cerebral cortex].

Authors:  T Möller; C Born; M F Reiser; H-J Möller; H Hampel; S J Teipel
Journal:  Nervenarzt       Date:  2009-01       Impact factor: 1.214

Review 10.  Novel MRI techniques in the assessment of dementia.

Authors:  Stefan J Teipel; Thomas Meindl; Lea Grinberg; Helmut Heinsen; Harald Hampel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-03       Impact factor: 9.236

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