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Abstract #0092

The role of diffusion-weighted MRI in the prediction of response in I-SPY 2 TRIAL

Wen Li1, Lisa J Wilmes1, David C Newitt1, John Kornak2, Ella F Jones1, Savannah C Partridge3, Jessica Gibbs1, Bo La Yun1, Matthew S Tanaka1, Laura J Esserman4, and Nola M Hylton1

1Radiology & Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Epidemiology and Biostatistics, UCSF, San Francisco, CA, United States, 3School of Medicine, University of Washington, Seattle, WA, United States, 4Surgery and Radiology, UCSF, San Francisco, CA, United States

Diffusion weighted MRI can be used to characterize water mobility and cellularity of tumor by measuring the apparent diffusion coefficient (ADC). Functional tumor volume (FTV) measures size change along the treatment. This study showed that after only 3 weeks of pre-surgery chemotherapy, ADC added value to the logistic regression model of using FTV alone to predict pCR or RCB as outcomes for patients with advanced breast cancer in I-SPY 2 TRIAL. The effect of adding ADC is statistically significant and increase the estimated area under the ROC curve after adjusted for breast cancer subtype categorized by HR and HER2 status.

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