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Abstract #4776

Repeatability of ADC histogram metrics from the ACRIN6698 breast cancer therapy response trial

David C Newitt1, Dariya I Marlyarenko2, Nola M Hylton1, Brian D Ross2, Lisa Wilmes1, Savannah Partridge3, and Thomas L Chenevert2
1Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, 2Radiology, University of Michigan Medical School, Ann Arbor, MI, United States, 3Radiology, University of Washington, Seattle, WA, United States

Repeatability of quantitative imaging metrics is important for establishing precision of diagnostic and prognostic measurements. In the multi-center ACRIN6698 trial, mean apparent diffusion coefficient (ADC) of breast tumors showed excellent repeatability but only moderate predictive power for breast cancer therapy response. Previous single-center studies have shown improved predictive performance using alternative ADC histogram metrics related to dense tumor volume. This study evaluates repeatability for a variety of alternative ADC histogram metrics to establish confidence intervals and inform predictive models for future breast cancer therapy response analysis.

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