Abstract #4506
Quantitative Imaging Network Demonstration of ADC Nonlinearity Bias in Multi-center Trials
Dariya Malyarenko 1 , David Newitt 2 , Alina Tudorica 3 , Robert Mulkern 4 , Karl G. Helmer 5 , Michael A. Jacobs 6 , Lori Arlinghaus 7 , Thomas Yankeelov 7 , Fiona Fennessy 4 , Wei Huang 3 , Nola Hylton 2 , and Thomas L. Chenevert 1
1
Radiology, University of Michigan, Ann
Arbor, MI, United States,
2
Radiology
and Biomedical Imaging, University of California San
Francisco, San Francisco, CA, United States,
3
Oregon
Health and Science University, Portland, OR, United
States,
4
Dana
Faber Harvard Cancer Center, Harvard Medical School,
Boston, MA, United States,
5
Athinoula
A. Martinos Center for Biomedical Imaging, Massachusetts
General Hospital, Boston, MA, United States,
6
John
Hopkins University School of Medicine, Baltimore, MD,
United States,
7
Vanderbilt
University Institute of Imaging Science, Vanderbilt
Unversity, Nashville, TN, United States
Multi-center clinical trials seek to establish
confidence levels for quantitative diffusion
measurements. Scanner-specific gradient nonlinearity
bias was observed for off-center measurements and
implicated as a major source of potential
reproducibility error in ADC mapping for some scanners.
A practical procedure was developed to empirically
characterize the systematic nonlinearity bias across
diverse clinical MRI platforms. The results are
demonstrated for representative MRI scanners utilized in
clinical oncology trials supported by the NCI
Quantitative Imaging Network (QIN).
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