Literature DB >> 22078796

Multicenter stability of diffusion tensor imaging measures: a European clinical and physical phantom study.

Stefan J Teipel1, Sigrid Reuter2, Bram Stieltjes3, Julio Acosta-Cabronero4, Ulrike Ernemann5, Andreas Fellgiebel6, Massimo Filippi7, Giovanni Frisoni8, Frank Hentschel9, Frank Jessen10, Stefan Klöppel11, Thomas Meindl12, Petra J W Pouwels13, Karl-Heinz Hauenstein14, Harald Hampel15.   

Abstract

Diffusion tensor imaging (DTI) detects white matter damage in neuro-psychiatric disorders, but data on reliability of DTI measures across more than two scanners are still missing. In this study we assessed multicenter reproducibility of DTI acquisitions based on a physical phantom as well as brain scans across 16 scanners. In addition, we performed DTI scans in a group of 26 patients with clinically probable Alzheimer's disease (AD) and 12 healthy elderly controls at one single center. We determined the variability of fractional anisotropy (FA) measures using manually placed regions of interest as well as automated tract based spatial statistics and deformation based analysis. The coefficient of variation (CV) of FA was 6.9% for the physical phantom data. The mean CV across the multicenter brain scans was 14% for tract based statistics, and 29% for deformation based analysis. The degree of variation was higher in less organized fiber tracts. Our findings suggest that a clinical and physical phantom study involving more than two scanners is indispensable to detect potential sources of bias and to reliably estimate effect size in multicenter diagnostic trials using DTI. 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 22078796     DOI: 10.1016/j.pscychresns.2011.05.012

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  45 in total

1.  The Road Ahead to Cure Alzheimer's Disease: Development of Biological Markers and Neuroimaging Methods for Prevention Trials Across all Stages and Target Populations.

Authors:  E Cavedo; S Lista; Z Khachaturian; P Aisen; P Amouyel; K Herholz; C R Jack; R Sperling; J Cummings; K Blennow; S O'Bryant; G B Frisoni; A Khachaturian; M Kivipelto; W Klunk; K Broich; S Andrieu; M Thiebaut de Schotten; J-F Mangin; A A Lammertsma; K Johnson; S Teipel; A Drzezga; A Bokde; O Colliot; H Bakardjian; H Zetterberg; B Dubois; B Vellas; L S Schneider; H Hampel
Journal:  J Prev Alzheimers Dis       Date:  2014-12

2.  Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study.

Authors:  Kilian M Pohl; Edith V Sullivan; Torsten Rohlfing; Weiwei Chu; Dongjin Kwon; B Nolan Nichols; Yong Zhang; Sandra A Brown; Susan F Tapert; Kevin Cummins; Wesley K Thompson; Ty Brumback; Ian M Colrain; Fiona C Baker; Devin Prouty; Michael D De Bellis; James T Voyvodic; Duncan B Clark; Claudiu Schirda; Bonnie J Nagel; Adolf Pfefferbaum
Journal:  Neuroimage       Date:  2016-02-10       Impact factor: 6.556

3.  Structural integrity in subjective cognitive decline, mild cognitive impairment and Alzheimer's disease based on multicenter diffusion tensor imaging.

Authors:  Katharina Brueggen; Martin Dyrba; Arturo Cardenas-Blanco; Anja Schneider; Klaus Fliessbach; Katharina Buerger; Daniel Janowitz; Oliver Peters; Felix Menne; Josef Priller; Eike Spruth; Jens Wiltfang; Ruth Vukovich; Christoph Laske; Martina Buchmann; Michael Wagner; Sandra Röske; Annika Spottke; Janna Rudolph; Coraline D Metzger; Ingo Kilimann; Laura Dobisch; Emrah Düzel; Frank Jessen; Stefan J Teipel
Journal:  J Neurol       Date:  2019-06-21       Impact factor: 4.849

4.  Analysis and correction of gradient nonlinearity bias in apparent diffusion coefficient measurements.

Authors:  Dariya I Malyarenko; Brian D Ross; Thomas L Chenevert
Journal:  Magn Reson Med       Date:  2014-03       Impact factor: 4.668

5.  Multi-center reproducibility of structural, diffusion tensor, and resting state functional magnetic resonance imaging measures.

Authors:  S Deprez; Michiel B de Ruiter; S Bogaert; R Peeters; J Belderbos; D De Ruysscher; S Schagen; S Sunaert; P Pullens; E Achten
Journal:  Neuroradiology       Date:  2018-04-14       Impact factor: 2.804

Review 6.  Diffusion magnetic resonance imaging for Brainnetome: a critical review.

Authors:  Nianming Zuo; Jian Cheng; Tianzi Jiang
Journal:  Neurosci Bull       Date:  2012-08       Impact factor: 5.203

7.  Quantitative quality assurance in a multicenter HARDI clinical trial at 3T.

Authors:  Xiaopeng Zhou; Ken E Sakaie; Josef P Debbins; John E Kirsch; Curtis Tatsuoka; Robert J Fox; Mark J Lowe
Journal:  Magn Reson Imaging       Date:  2016-08-30       Impact factor: 2.546

8.  Multi-system repeatability and reproducibility of apparent diffusion coefficient measurement using an ice-water phantom.

Authors:  Dariya Malyarenko; Craig J Galbán; Frank J Londy; Charles R Meyer; Timothy D Johnson; Alnawaz Rehemtulla; Brian D Ross; Thomas L Chenevert
Journal:  J Magn Reson Imaging       Date:  2012-09-28       Impact factor: 4.813

Review 9.  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

10.  Inter-site and inter-scanner diffusion MRI data harmonization.

Authors:  H Mirzaalian; L Ning; P Savadjiev; O Pasternak; S Bouix; O Michailovich; G Grant; C E Marx; R A Morey; L A Flashman; M S George; T W McAllister; N Andaluz; L Shutter; R Coimbra; R D Zafonte; M J Coleman; M Kubicki; C F Westin; M B Stein; M E Shenton; Y Rathi
Journal:  Neuroimage       Date:  2016-04-30       Impact factor: 6.556

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