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Journal of Medical Imaging • Open Access

Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network
Author(s): David C. Newitt; Dariya Malyarenko; Thomas L. Chenevert; C. Chad Quarles; Laura C. Bell; Andriy Fedorov; Fiona M. Fennessy; Michael A. Jacobs; Meiyappan Solaiyappan; Stefanie Hectors; Bachir Taouli; Mark Muzi; Paul E. Kinahan; Kathleen M. Schmainda; Melissa A. Prah; Erin N. Taber; Christopher D. Kroenke; Wei Huang; Lori R. Arlinghaus; Thomas E. Yankeelov; Yue Cao; Madhava Aryal; Yi-Fen Yen; Jayashree Kalpathy-Cramer; Amita Shukla-Dave; Maggie Fung; Jiachao Liang; Michael A. Boss; Nola M. Hylton

Paper Abstract

Diffusion weighted MRI has become ubiquitous in many areas of medicine, including cancer diagnosis and treatment response monitoring. Reproducibility of diffusion metrics is essential for their acceptance as quantitative biomarkers in these areas. We examined the variability in the apparent diffusion coefficient (ADC) obtained from both postprocessing software implementations utilized by the NCI Quantitative Imaging Network and online scan time-generated ADC maps. Phantom and in vivo breast studies were evaluated for two (ADC2) and four (ADC4) b-value diffusion metrics. Concordance of the majority of implementations was excellent for both phantom ADC measures and in vivo ADC2, with relative biases <0.1  %   (ADC2) and <0.5  %   (phantom ADC4) but with higher deviations in ADC at the lowest phantom ADC values. In vivo ADC4 concordance was good, with typical biases of ±2  %   to 3% but higher for online maps. Multiple b-value ADC implementations were separated into two groups determined by the fitting algorithm. Intergroup mean ADC differences ranged from negligible for phantom data to 2.8% for ADC4in vivo data. Some higher deviations were found for individual implementations and online parametric maps. Despite generally good concordance, implementation biases in ADC measures are sometimes significant and may be large enough to be of concern in multisite studies.

Paper Details

Date Published: 10 October 2017
PDF: 9 pages
J. Med. Imag. 5(1) 011003 doi: 10.1117/1.JMI.5.1.011003
Published in: Journal of Medical Imaging Volume 5, Issue 1
Show Author Affiliations
David C. Newitt, Univ. of California, San Francisco (United States)
Dariya Malyarenko, Univ. of Michigan (United States)
Thomas L. Chenevert, Univ. of Michigan Health System (United States)
C. Chad Quarles, Barrow Neurological Institute (United States)
Laura C. Bell, Barrow Neurological Institute (United States)
Andriy Fedorov, Brigham and Women's Hospital (United States)
Fiona M. Fennessy, Brigham and Women's Hospital (United States)
Michael A. Jacobs, Russell H. Morgan Dept. of Radiology & Radiological Science (United States)
Meiyappan Solaiyappan, Russell H. Morgan Dept. of Radiology & Radiological Science (United States)
Stefanie Hectors, Icahn School of Medicine at Mount Sinai (United States)
Bachir Taouli, Icahn School of Medicine at Mount Sinai (United States)
Mark Muzi, Univ. of Washington Medical Ctr. (United States)
Paul E. Kinahan, Univ. of Washington (United States)
Kathleen M. Schmainda, Medical College of Wisconsin (United States)
Melissa A. Prah, Medical College of Wisconsin (United States)
Erin N. Taber, Oregon Health & Science Univ. (United States)
Christopher D. Kroenke, Oregon Health & Science Univ. (United States)
Wei Huang, Oregon Health & Science Univ. (United States)
Lori R. Arlinghaus, Vanderbilt Univ. Medical Ctr. (United States)
Thomas E. Yankeelov, The Univ. of Texas at Austin (United States)
Yue Cao, Univ. of Michigan (United States)
Madhava Aryal, Univ. of Michigan (United States)
Yi-Fen Yen, Athinoula A. Martinos Ctr. for Biomedical Imaging (United States)
Jayashree Kalpathy-Cramer, Athinoula A. Martinos Ctr. for Biomedical Imaging (United States)
Amita Shukla-Dave, Memorial Sloan-Kettering Cancer Ctr. (United States)
Maggie Fung, GE Healthcare (United States)
Jiachao Liang, Hologic, Inc. (United States)
Michael A. Boss, National Institute of Standards and Technology (United States)
Univ. of Colorado Boulder (United States)
Nola M. Hylton, Univ. of California, San Francisco (United States)


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