Literature DB >> 18936317

Variability in absolute apparent diffusion coefficient values across different platforms may be substantial: a multivendor, multi-institutional comparison study.

Makoto Sasaki1, Kei Yamada, Yoshiyuki Watanabe, Mieko Matsui, Masahiro Ida, Shunrou Fujiwara, Eri Shibata.   

Abstract

PURPOSE: To determine whether and to what degree absolute apparent diffusion coefficient (ADC) values vary between different imagers, vendors, field strengths, and intraimager conditions.
MATERIALS AND METHODS: Informed consent and institutional review board approval were obtained. Diffusion-weighted (DW) images with nearly identical parameters were obtained at 1.5 and 3.0 T from 12 healthy volunteers at seven institutions by using 10 magnetic resonance (MR) imagers provided by four different vendors. ADC maps were generated from isotropic DW maps, and images with a b value of 0 sec/mm(2) were generated by using in-house software. The mean pixel values for the brain tissues were calculated for evaluating the differences among coil systems, imagers, vendors, and magnetic field strengths.
RESULTS: The absolute ADC values of gray and white matter from the same vendor varied substantially: 4%-9% at 1.5 and 3.0 T. With the exception of one vendor, the intervendor variability at 1.5 T was as high as 7%. Moreover, there was substantial intraimager variability, up to 8%, depending on the coil systems in certain imagers.
CONCLUSION: There is significant variability in ADC values depending on the coil systems, imagers, vendors, and field strengths used for MR imaging. The relative ADC values may be more suitable than absolute ADC values for evaluating diffusion abnormalities in patients enrolled in multicenter acute ischemic stroke trials. (c) RSNA, 2008.

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Year:  2008        PMID: 18936317     DOI: 10.1148/radiol.2492071681

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  92 in total

Review 1.  Multicentre imaging measurements for oncology and in the brain.

Authors:  P S Tofts; D J Collins
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

2.  Is there a systematic bias of apparent diffusion coefficient (ADC) measurements of the breast if measured on different workstations? An inter- and intra-reader agreement study.

Authors:  Paola Clauser; Magda Marcon; Marta Maieron; Chiara Zuiani; Massimo Bazzocchi; Pascal A T Baltzer
Journal:  Eur Radiol       Date:  2015-10-07       Impact factor: 5.315

3.  Population-based Bayesian regularization for microstructural diffusion MRI with NODDIDA.

Authors:  Meghdoot Mozumder; Jose M Pozo; Santiago Coelho; Alejandro F Frangi
Journal:  Magn Reson Med       Date:  2019-05-26       Impact factor: 4.668

4.  Practical estimate of gradient nonlinearity for implementation of apparent diffusion coefficient bias correction.

Authors:  Dariya I Malkyarenko; Thomas L Chenevert
Journal:  J Magn Reson Imaging       Date:  2014-12       Impact factor: 4.813

5.  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

6.  Diffusion imaging for tumor grading of supratentorial brain tumors in the first year of life.

Authors:  S F Kralik; A Taha; A P Kamer; J S Cardinal; T A Seltman; C Y Ho
Journal:  AJNR Am J Neuroradiol       Date:  2013-11-07       Impact factor: 3.825

Review 7.  Functional MRI and CT biomarkers in oncology.

Authors:  J M Winfield; G S Payne; N M deSouza
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-01-13       Impact factor: 9.236

8.  Diffusion Profiling via a Histogram Approach Distinguishes Low-grade from High-grade Meningiomas, Can Reflect the Respective Proliferative Potential and Progesterone Receptor Status.

Authors:  Georg Alexander Gihr; Diana Horvath-Rizea; Nikita Garnov; Patricia Kohlhof-Meinecke; Oliver Ganslandt; Hans Henkes; Hans Jonas Meyer; Karl-Titus Hoffmann; Alexey Surov; Stefan Schob
Journal:  Mol Imaging Biol       Date:  2018-08       Impact factor: 3.488

Review 9.  Diffusion-weighted magnetic resonance imaging for tumour response assessment: why, when and how?

Authors:  A Afaq; A Andreou; D M Koh
Journal:  Cancer Imaging       Date:  2010-10-04       Impact factor: 3.909

10.  Cardiac arrest - has the time of MRI come?

Authors:  Damien Galanaud; Louis Puybasset
Journal:  Crit Care       Date:  2010-03-26       Impact factor: 9.097

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