Abstract #0206

Effects of multi-vendor gradient non-linearity correction on breast tumor ADC measurements in the ACRIN 6698 trial

Lisa J Wilmes¹, Wen Li¹, Judith Zimmermann^1,2, David C Newitt¹, Dariya I Malyarenko³, Jiachao Liang¹, Patrick J Bolan⁴, Savannah C Partridge⁵, I-SPY 2 Investigator Network⁶, Thomas L Chenevert⁷, and Nola M Hylton¹

¹Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, ²Radiology, Stanford University, Stanford, CA, United States, ³Radiology, University of Michigan, Ann Arbor, MI, United States, ⁴Radiology, University of Minnesota, Minneapolis, MN, United States, ⁵Radiology, University of Washington, Seattle, WA, United States, ⁶Quantum Leap Healthcare, San Francisco, CA, United States, ⁷University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: Breast, Diffusion/other diffusion imaging techniques, gradient nonlinearity correction, breast cancer, ADC

Motivation: MRI scanner gradient non-linearity (GNL) is a known source of variability and spatially-dependent bias in quantitative ADC measurements derived from diffusion-weighted imaging (DWI).

Goal(s): Evaluate the effects of GNL correction on DWI from the ACRIN 6698 multi-center trial, which investigated ADC as a marker breast cancer response in patients receiving neoadjuvant therapy.

Approach: Retrospective GNL correction was performed on the ACRIN 6698 DWI data

Results: Percent decrease in mean tumor ADC post-GNC ranged from 0.5%-11% for different MRI gradient sets, illustrating that GNL can confer significant bias to ADC measurements and should be corrected in multi-center clinical DWI trials.

Impact: Implementation of gradient non-linearity correction to reduce bias and variability of tumor ADC measurements from DWI data acquired in multi-center, multi-platform oncology trials may improve the quantitative utility of ADC for characterizing response to treatment.

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