Literature DB >> 18064586

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

Santiago Reig1, Javier Sánchez-González, Celso Arango, Josefina Castro, Ana González-Pinto, Felipe Ortuño, Benedicto Crespo-Facorro, Nuria Bargalló, Manuel Desco.   

Abstract

In multicenter MRI studies, pooling of volumetric data requires a prior evaluation of compatibility between the different machines used. We tested the compatibility of five different scanners (2 General Electric Signa, 2 Siemens Symphony, and a Philips Gyroscan) at five different sites by repeating the scans of five volunteers at each of the sites. Using a semiautomatic method based on the Talairach atlas, and SPM algorithms for tissue segmentation (multimodal T1 and T2, or T1-only), we obtained volume measurements of the main brain lobes (frontal, parietal, occipital, temporal) and for each tissue type. Our results suggest that pooling of multisite data adds small error for whole brain measurements, intersite coefficient of variation (CV) ranging from 1.8 to 5.2%, respectively, for GM and CSF. However, in the occipital lobe, intersite CV can be as high as 11.7% for WM and 17.3% for CSF. Compared with the intersite, intrasite CV values were always much lower. Whenever possible, T1 and T2 tissue segmentation methods should be used because they yield more consistent volume measurements between sites than T1-only, especially when some of the scans were obtained with different sequence parameters and pixel size from those of the other sites. Our study shows that highest compatibility among scanners would be obtained using equipments of the same manufacturer and also image acquisition parameters as similar as possible. After validation, data from a specific ROI or scanner showing values markedly different from the other sites might be excluded from the analysis.

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Year:  2009        PMID: 18064586      PMCID: PMC6871184          DOI: 10.1002/hbm.20511

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


  19 in total

1.  Effects of image orientation on the comparability of pediatric brain volumes using three-dimensional MR data.

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Review 2.  MRI anatomy of schizophrenia.

Authors:  R W McCarley; C G Wible; M Frumin; Y Hirayasu; J J Levitt; I A Fischer; M E Shenton
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3.  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

4.  Regional gray matter, white matter, and cerebrospinal fluid distributions in schizophrenic patients, their siblings, and controls.

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Review 5.  Measurement reliability and agreement in psychiatry.

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Review 8.  Standardisation and optimisation of magnetic resonance techniques for multicentre studies.

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10.  The reproducibility and sensitivity of brain tissue volume measurements derived from an SPM-based segmentation methodology.

Authors:  Declan T Chard; Geoffrey J M Parker; Colette M B Griffin; Alan J Thompson; David H Miller
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  25 in total

1.  Multicenter study of brain volume abnormalities in children and adolescent-onset psychosis.

Authors:  Santiago Reig; Mara Parellada; Josefina Castro-Fornieles; Joost Janssen; Dolores Moreno; Inmaculada Baeza; Nuria Bargalló; Ana González-Pinto; Montserrat Graell; Felipe Ortuño; Soraya Otero; Celso Arango; Manuel Desco
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Journal:  Hum Brain Mapp       Date:  2010-04-16       Impact factor: 5.038

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Journal:  Hum Brain Mapp       Date:  2014-11-19       Impact factor: 5.038

4.  Automated subcortical segmentation using FIRST: test-retest reliability, interscanner reliability, and comparison to manual segmentation.

Authors:  Allison C Nugent; David A Luckenbaugh; Suzanne E Wood; Wendy Bogers; Carlos A Zarate; Wayne C Drevets
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5.  Gender effects on brain changes in early-onset psychosis.

Authors:  Marta Rapado-Castro; Cali F Bartholomeusz; Josefina Castro-Fornieles; Ana González-Pinto; Soraya Otero; Inmaculada Baeza; Carmen Moreno; Montserrat Graell; Joost Janssen; Nuria Bargalló; Christos Pantelis; Manuel Desco; Celso Arango
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6.  Migraine Subclassification via a Data-Driven Automated Approach Using Multimodality Factor Mixture Modeling of Brain Structure Measurements.

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7.  Gray matter changes and cognitive predictors of 2-year follow-up abnormalities in early-onset first-episode psychosis.

Authors:  Josefina Castro-Fornieles; Nuria Bargalló; Anna Calvo; Celso Arango; Immaculada Baeza; Ana Gonzalez-Pinto; Mara Parellada; Montserrat Graell; Carmen Moreno; Soraya Otero; Joost Janssen; Marta Rapado-Castro; Elena de la Serna
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-07-13       Impact factor: 4.785

8.  Improved corpus callosum area measurements by analysis of adjoining parasagittal slices.

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9.  Effect of Region of Interest Size on the Repeatability of Quantitative Brain Imaging Biomarkers.

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Journal:  IEEE Trans Biomed Eng       Date:  2018-07-27       Impact factor: 4.538

10.  Neural correlates of three types of negative life events during angry face processing in adolescents.

Authors:  Fanny Gollier-Briant; Marie-Laure Paillère-Martinot; Hervé Lemaitre; Ruben Miranda; Hélène Vulser; Robert Goodman; Jani Penttilä; Maren Struve; Tahmine Fadai; Viola Kappel; Luise Poustka; Yvonne Grimmer; Uli Bromberg; Patricia Conrod; Tobias Banaschewski; Gareth J Barker; Arun L W Bokde; Christian Büchel; Herta Flor; Juergen Gallinat; Hugh Garavan; Andreas Heinz; Claire Lawrence; Karl Mann; Frauke Nees; Tomas Paus; Zdenka Pausova; Vincent Frouin; Marcella Rietschel; Trevor W Robbins; Michael N Smolka; Gunter Schumann; Jean-Luc Martinot; Eric Artiges
Journal:  Soc Cogn Affect Neurosci       Date:  2016-10-03       Impact factor: 3.436

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