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Abstract #1980

Validation of an MRI-Based Predictive Model for Treatment Tailoring in the I-SPY 2 Trial

Wen Li1, Jessica E Gibbs1, Nu Le1, Pouya Metanat1, Matthew Gibbons1, Teffany Joy Bareng1, Natsuko Onishi1, Lisa J Wilmes1, Elissa R Price1, Bonnie N Joe1, John Kornak1, Christina Yau1, Denise M Wolf1, Mark Jesus M Magbanua1, Sara Venters1, Barbara LeStage2, Laura J van 't Veer1, Angela M DeMichele3, Laura J Esserman1, and Nola M Hylton1
1University of California, San Francisco, San Francisco, CA, United States, 2I-SPY 2 Advocacy Group, San Francisco, CA, United States, 3University of Pennsylvania, Philadelphia, PA, United States

Synopsis

Keywords: Breast, Cancer

Motivation: Previously, we developed MRI-based models for the prediction of pathologic complete response (pCR) using an initial cohort of 990 patients enrolled in I-SPY. The purpose of this study is to validate the performance of the MRI model using an independent patient cohort from I-SPY 2.

Goal(s): The goal is to test the robustness of the MRI-based models.

Approach: Area under the receiver operating characteristic curve (AUC), PPV, and sensitivity for pCR prediction was used to evaluate performance in the subsequent cohort.

Results: Overall, the sensitivity and PPV were 72% and 57%, slightly higher than the values evaluated in the initial 990 cohort.

Impact: This is the first study of MRI-based predictive models that were developed and validated using two separate large cohorts from a multicenter neoadjuvant chemotherapy clinical trial.

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