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Abstract #4311

Pilot implementation of vendor-provided on-scanner gradient nonlinearity correction for breast tumor ADC measures in a prospective trial

Debosmita Biswas1,2, Dariya Malyarenko3, Wesley Surento1, Johannes Peeters4, Hye Shin Ahn1,5, Dallas Turley6, Habib Rahbar1, Wei Huang7, Thomas L Chenevert3, and Savannah C Partridge1,2
1Department of Radiology, University of Washington, Seattle, WA, United States, 2Department of Bioengineering, University of Washington, Seattle, WA, United States, 3Department of Radiology, University of Michigan, Ann Arbor, MI, United States, 4MR Clinical Science, Philips, Best, Netherlands, 5Department of Radiology, College of Medicine, Chung-Ang University Hospital, Seoul, Korea, Republic of, 6Philips Healthcare, Bothell, WA, United States, 7Advanced Imaging Research Center, Oregon Health and Science University, Portland, OR, United States

Synopsis

Keywords: Breast, Gradients, Gradient Non linearity

Motivation: Improve accuracy of ADC measurement by correcting spatial nonuniformity of diffusion weighting caused by gradient nonlinearity (GNL) using novel vendor implemented on-scanner tools

Goal(s): Evaluate GNL correction of breast tumor ADC in a treatment response study

Approach: Implement on-scanner GNL correction, evaluate uncorrected and corrected tumor ADCs, evaluate GNL bias and ADC changes pre-treatment and post one cycle of neoadjuvant chemotherapy.

Results: Preliminary results from this study indicate adequate performance of the vendor implemented GNL correction of ADC in breast DWI assessment of response to neoadjuvant chemotherapy.

Impact: This pilot study demonstrates vendor-implemented GNL-correction (GNC) of spatially dependent b-value bias can dramatically simplify the process of obtaining more accurate ADC measures, which can improve robustness of ADC as a biomarker for treatment response.

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