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Abstract #2126

Quantitative Breast MRI Background Parenchymal Enhancement for Predicting Response to Chemotherapy

Vignesh Arasu1, Paul Kim2, Roy Harnish2, Cody McHargue2, Wen Li2, David C Newitt2, Ella Jones2, Laura J Esserman2, Bonnie N Joe2, and Nola M Hylton2

1University of California, San Francisco, San Francisco, CA, United States, 2University of California, San Francisco

The purpose of this study was to investigate how background parenchymal enhancement (BPE) may additively improve an MR tumor model for prediction of non-pathologic complete response (non-PCR) patients in the neoadjuvant setting. BPE identified 24-36% of non-PCR patients independent of tumor factors while maintaining a low misclassification of PCR patients. In conjunction with a tumor model using tumor and treatment factors, addition of BPE may improve residual cancer prediction of up to 60% of patients, but results were not statistically significant.

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