Literature DB >> 28007768

Toward Precision and Reproducibility of Diffusion Tensor Imaging: A Multicenter Diffusion Phantom and Traveling Volunteer Study.

E M Palacios1, A J Martin1, M A Boss2, F Ezekiel1, Y S Chang1, E L Yuh1,3, M J Vassar4,3, D M Schnyer5, C L MacDonald6, K L Crawford7, A Irimia7, A W Toga7, P Mukherjee8,9,3.   

Abstract

BACKGROUND AND
PURPOSE: Precision medicine is an approach to disease diagnosis, treatment, and prevention that relies on quantitative biomarkers that minimize the variability of individual patient measurements. The aim of this study was to assess the intersite variability after harmonization of a high-angular-resolution 3T diffusion tensor imaging protocol across 13 scanners at the 11 academic medical centers participating in the Transforming Research and Clinical Knowledge in Traumatic Brain Injury multisite study.
MATERIALS AND METHODS: Diffusion MR imaging was acquired from a novel isotropic diffusion phantom developed at the National Institute of Standards and Technology and from the brain of a traveling volunteer on thirteen 3T MR imaging scanners representing 3 major vendors (GE Healthcare, Philips Healthcare, and Siemens). Means of the DTI parameters and their coefficients of variation across scanners were calculated for each DTI metric and white matter tract.
RESULTS: For the National Institute of Standards and Technology diffusion phantom, the coefficients of variation of the apparent diffusion coefficient across the 13 scanners was <3.8% for a range of diffusivities from 0.4 to 1.1 × 10-6 mm2/s. For the volunteer, the coefficients of variations across scanners of the 4 primary DTI metrics, each averaged over the entire white matter skeleton, were all <5%. In individual white matter tracts, large central pathways showed good reproducibility with the coefficients of variation consistently below 5%. However, smaller tracts showed more variability, with the coefficients of variation of some DTI metrics reaching 10%.
CONCLUSIONS: The results suggest the feasibility of standardizing DTI across 3T scanners from different MR imaging vendors in a large-scale neuroimaging research study.
© 2017 by American Journal of Neuroradiology.

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Year:  2016        PMID: 28007768      PMCID: PMC5352533          DOI: 10.3174/ajnr.A5025

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


  30 in total

Review 1.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

2.  Signal to noise ratio and uncertainty in diffusion tensor imaging at 1.5, 3.0, and 7.0 Tesla.

Authors:  Daniel L Polders; Alexander Leemans; Jeroen Hendrikse; Manus J Donahue; Peter R Luijten; Johannes M Hoogduin
Journal:  J Magn Reson Imaging       Date:  2011-06       Impact factor: 4.813

3.  Multicenter reliability of diffusion tensor imaging.

Authors:  Vincent A Magnotta; Joy T Matsui; Dawei Liu; Hans J Johnson; Jeffrey D Long; Bradley D Bolster; Bryon A Mueller; Kelvin Lim; Susumu Mori; Karl G Helmer; Jessica A Turner; Sarah Reading; Mark J Lowe; Elizabeth Aylward; Laura A Flashman; Greg Bonett; Jane S Paulsen
Journal:  Brain Connect       Date:  2012

4.  Diffusion tensor imaging for outcome prediction in mild traumatic brain injury: a TRACK-TBI study.

Authors:  Esther L Yuh; Shelly R Cooper; Pratik Mukherjee; John K Yue; Hester F Lingsma; Wayne A Gordon; Alex B Valadka; David O Okonkwo; David M Schnyer; Mary J Vassar; Andrew I R Maas; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2014-07-09       Impact factor: 5.269

5.  Region of interest correction factors improve reliability of diffusion imaging measures within and across scanners and field strengths.

Authors:  Vijay K Venkatraman; Christopher E Gonzalez; Bennett Landman; Joshua Goh; David A Reiter; Yang An; Susan M Resnick
Journal:  Neuroimage       Date:  2015-07-02       Impact factor: 6.556

6.  Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners.

Authors:  Hengameh Mirzaalian; Amicie de Pierrefeu; Peter Savadjiev; Ofer Pasternak; Sylvain Bouix; Marek Kubicki; Carl-Fredrik Westin; Martha E Shenton; Yogesh Rathi
Journal:  Med Image Comput Comput Assist Interv       Date:  2015-11-18

7.  Extent of microstructural white matter injury in postconcussive syndrome correlates with impaired cognitive reaction time: a 3T diffusion tensor imaging study of mild traumatic brain injury.

Authors:  S N Niogi; P Mukherjee; J Ghajar; C Johnson; R A Kolster; R Sarkar; H Lee; M Meeker; R D Zimmerman; G T Manley; B D McCandliss
Journal:  AJNR Am J Neuroradiol       Date:  2008-02-13       Impact factor: 3.825

8.  Transforming research and clinical knowledge in traumatic brain injury pilot: multicenter implementation of the common data elements for traumatic brain injury.

Authors:  John K Yue; Mary J Vassar; Hester F Lingsma; Shelly R Cooper; David O Okonkwo; Alex B Valadka; Wayne A Gordon; Andrew I R Maas; Pratik Mukherjee; Esther L Yuh; Ava M Puccio; David M Schnyer; Geoffrey T Manley
Journal:  J Neurotrauma       Date:  2013-09-24       Impact factor: 5.269

9.  Reproducibility of quantitative cerebral T2 relaxometry, diffusion tensor imaging, and 1H magnetic resonance spectroscopy at 3.0 Tesla.

Authors:  Jacobus F A Jansen; M Eline Kooi; Alfons G H Kessels; Klaas Nicolay; Walter H Backes
Journal:  Invest Radiol       Date:  2007-06       Impact factor: 6.016

10.  Reproducibility of structural, resting-state BOLD and DTI data between identical scanners.

Authors:  Lejian Huang; Xue Wang; Marwan N Baliki; Lei Wang; A Vania Apkarian; Todd B Parrish
Journal:  PLoS One       Date:  2012-10-25       Impact factor: 3.240

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  39 in total

1.  Distortion-free imaging: A double encoding method (DIADEM) combined with multiband imaging for rapid distortion-free high-resolution diffusion imaging on a compact 3T with high-performance gradients.

Authors:  Myung-Ho In; Ek Tsoon Tan; Joshua D Trzasko; Yunhong Shu; Daehun Kang; Uten Yarach; Shengzhen Tao; Erin M Gray; John Huston; Matt A Bernstein
Journal:  J Magn Reson Imaging       Date:  2019-05-20       Impact factor: 4.813

Review 2.  Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook.

Authors:  Els Fieremans; Hong-Hsi Lee
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

3.  Design and validation of diffusion MRI models of white matter.

Authors:  Ileana O Jelescu; Matthew D Budde
Journal:  Front Phys       Date:  2017-11-28

4.  Recommendations towards standards for quantitative MRI (qMRI) and outstanding needs.

Authors:  Kathryn E Keenan; Joshua R Biller; Jana G Delfino; Michael A Boss; Mark D Does; Jeffrey L Evelhoch; Mark A Griswold; Jeffrey L Gunter; R Scott Hinks; Stuart W Hoffman; Geena Kim; Riccardo Lattanzi; Xiaojuan Li; Luca Marinelli; Gregory J Metzger; Pratik Mukherjee; Robert J Nordstrom; Adele P Peskin; Elena Perez; Stephen E Russek; Berkman Sahiner; Natalie Serkova; Amita Shukla-Dave; Michael Steckner; Karl F Stupic; Lisa J Wilmes; Holden H Wu; Huiming Zhang; Edward F Jackson; Daniel C Sullivan
Journal:  J Magn Reson Imaging       Date:  2019-01-24       Impact factor: 4.813

5.  Scan-rescan of axcaliber, macromolecular tissue volume, and g-ratio in the spinal cord.

Authors:  Tanguy Duval; Victoria Smith; Nikola Stikov; Eric C Klawiter; Julien Cohen-Adad
Journal:  Magn Reson Med       Date:  2017-10-10       Impact factor: 4.668

6.  Improving apparent diffusion coefficient accuracy on a compact 3T MRI scanner using gradient nonlinearity correction.

Authors:  Ashley T Tao; Yunhong Shu; Ek T Tan; Joshua D Trzasko; Shengzhen Tao; Robert D Reid; Paul T Weavers; John Huston; Matt A Bernstein
Journal:  J Magn Reson Imaging       Date:  2018-09-26       Impact factor: 4.813

7.  Reduced acoustic noise in diffusion tensor imaging on a compact MRI system.

Authors:  Ek T Tan; Christopher J Hardy; Yunhong Shu; Myung-Ho In; Arnaud Guidon; John Huston; Matt A Bernstein; Thomas K F Foo
Journal:  Magn Reson Med       Date:  2017-10-02       Impact factor: 4.668

8.  Scan-rescan repeatability and cross-scanner comparability of DTI metrics in healthy subjects in the SPRINT-MS multicenter trial.

Authors:  Xiaopeng Zhou; Ken E Sakaie; Josef P Debbins; Sridar Narayanan; Robert J Fox; Mark J Lowe
Journal:  Magn Reson Imaging       Date:  2018-07-23       Impact factor: 2.546

9.  In-depth characterization of a mouse model of post-traumatic epilepsy for biomarker and drug discovery.

Authors:  Rossella Di Sapia; Federico Moro; Marica Montanarella; Valentina Iori; Edoardo Micotti; Daniele Tolomeo; Kevin K W Wang; Annamaria Vezzani; Teresa Ravizza; Elisa R Zanier
Journal:  Acta Neuropathol Commun       Date:  2021-04-26       Impact factor: 7.801

10.  Empirical validation of gradient field models for an accurate ADC measured on clinical 3T MR systems in body oncologic applications.

Authors:  Yuxi Pang; Dariya I Malyarenko; Ghoncheh Amouzandeh; Enzo Barberi; Michael Cole; Axel Vom Endt; Johannes Peeters; Ek T Tan; Thomas L Chenevert
Journal:  Phys Med       Date:  2021-06-06       Impact factor: 3.119

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