Literature DB >> 15202109

Reliability of brain volumes from multicenter MRI acquisition: a calibration study.

Hugo G Schnack1, Neeltje E M van Haren, Hilleke E Hulshoff Pol, Marco Picchioni, Matthias Weisbrod, Heinrich Sauer, Tyrone Cannon, Matti Huttunen, Robin Murray, René S Kahn.   

Abstract

Multicenter studies can provide additional information over single center studies because of their increased statistical power. Because similar acquisition protocols are being used internationally for structural magnetic resonance imaging (MRI) studies of the human brain, volumetric MRI data studies seem suitable for this purpose. Possible systematic differences between sites should be avoided, however, particularly when subtle differences in tissue volume are being searched for, such as in neuropsychiatric diseases. In this calibration study, the brains of six healthy volunteers were (re)scanned with MR scanners from four different manufacturers at five different sites, using the local acquisition protocols. The images were segmented at a central reference site. The intraclass correlation coefficient (ICC) was determined for the whole brain, gray and white matter, cerebellum, and lateral and third ventricle volumes. When required, the processing algorithms were calibrated for each site. Calibration of the histogram analysis was needed for segmentation of total brain volume at one site and for gray and white matter volume at all sites. No (additional) calibration was needed for cerebellum and ventricle volumes. The ICCs were > or = 0.96 for total brain, > or = 0.92 for cerebellum, > or = 0.96 for lateral ventricle, > or = 0.21 for third ventricle, > or = 0.84 for gray matter, and > or = 0.78 for white matter volume. Calibration of segmentation procedures allows morphologic MRI data acquired at different research sites to be combined reliably in multicenter studies. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15202109      PMCID: PMC6872009          DOI: 10.1002/hbm.20040

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  14 in total

1.  Automated separation of gray and white matter from MR images of the human brain.

Authors:  H G Schnack; W F Baaré; W G Staal; M A Viergever; R S Kahn
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2.  Cognitive correlates of human brain aging: a quantitative magnetic resonance imaging investigation.

Authors:  C E Coffey; G Ratcliff; J A Saxton; R N Bryan; L P Fried; J F Lucke
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3.  Effects of image orientation on the comparability of pediatric brain volumes using three-dimensional MR data.

Authors:  A J Patwardhan; S Eliez; I S Warsofsky; G H Glover; C D White; J N Giedd; B S Peterson; D C Rojas; A L Reiss
Journal:  J Comput Assist Tomogr       Date:  2001 May-Jun       Impact factor: 1.826

4.  Brain volumes as predictor of outcome in recent-onset schizophrenia: a multi-center MRI study.

Authors:  Neeltje E M van Haren; Wiepke Cahn; Hilleke E Hulshoff Pol; Hugo G Schnack; Esther Caspers; Adriaan Lemstra; Margriet M Sitskoorn; Durk Wiersma; Rob J van den Bosch; Peter M Dingemans; Aart H Schene; René S Kahn
Journal:  Schizophr Res       Date:  2003-11-01       Impact factor: 4.939

5.  Reliability and exactness of MRI-based volumetry: a phantom study.

Authors:  A R Luft; M Skalej; D Welte; R Kolb; U Klose
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6.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

Authors:  J G Sled; A P Zijdenbos; A C Evans
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Journal:  AJNR Am J Neuroradiol       Date:  1999-01       Impact factor: 3.825

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Authors:  F Maes; A Collignon; D Vandermeulen; G Marchal; P Suetens
Journal:  IEEE Trans Med Imaging       Date:  1997-04       Impact factor: 10.048

9.  Volume changes in gray matter in patients with schizophrenia.

Authors:  Hilleke E Hulshoff Pol; Hugo G Schnack; Madelief G B C Bertens; Neeltje E M van Haren; Ingeborg van der Tweel; Wouter G Staal; Wim F C Baaré; René S Kahn
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Review 10.  Standardisation and optimisation of magnetic resonance techniques for multicentre studies.

Authors:  P S Tofts
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  33 in total

1.  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

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

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3.  Assessment of the increase in variability when combining volumetric data from different scanners.

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Journal:  Hum Brain Mapp       Date:  2009-02       Impact factor: 5.038

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

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Journal:  Hum Brain Mapp       Date:  2011-03-09       Impact factor: 5.038

5.  Post-acquisition processing confounds in brain volumetric quantification of white matter hyperintensities.

Authors:  Ahmed A Bahrani; Omar M Al-Janabi; Erin L Abner; Shoshana H Bardach; Richard J Kryscio; Donna M Wilcock; Charles D Smith; Gregory A Jicha
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6.  Automated subcortical segmentation using FIRST: test-retest reliability, interscanner reliability, and comparison to manual segmentation.

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Review 7.  Standardization of Small Animal Imaging-Current Status and Future Prospects.

Authors:  Julia G Mannheim; Firat Kara; Janine Doorduin; Kerstin Fuchs; Gerald Reischl; Sayuan Liang; Marleen Verhoye; Felix Gremse; Laura Mezzanotte; Marc C Huisman
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8.  MR imaging-based volumetry in patients with early-treated phenylketonuria.

Authors:  Nadine H Pfaendner; Gitta Reuner; Joachim Pietz; Gregor Jost; Dietz Rating; Vincent A Magnotta; Alexander Mohr; Bodo Kress; Klaus Sartor; Stefan Hähnel
Journal:  AJNR Am J Neuroradiol       Date:  2005-08       Impact factor: 3.825

9.  Longitudinal brain volume changes in preterm and term control subjects during late childhood and adolescence.

Authors:  Laura R Ment; Shelli Kesler; Betty Vohr; Karol H Katz; Heidi Baumgartner; Karen C Schneider; Susan Delancy; John Silbereis; Charles C Duncan; R Todd Constable; Robert W Makuch; Allan L Reiss
Journal:  Pediatrics       Date:  2009-02       Impact factor: 7.124

Review 10.  Imaging Genetics and Genomics in Psychiatry: A Critical Review of Progress and Potential.

Authors:  Ryan Bogdan; Betty Jo Salmeron; Caitlin E Carey; Arpana Agrawal; Vince D Calhoun; Hugh Garavan; Ahmad R Hariri; Andreas Heinz; Matthew N Hill; Andrew Holmes; Ned H Kalin; David Goldman
Journal:  Biol Psychiatry       Date:  2017-01-13       Impact factor: 13.382

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