Abstract #0098

Radiomics with magnetic resonance imaging of the breast for early prediction of response to neo-adjuvant chemotherapy in breast cancer patients

Katja Pinker-Domenig¹, Amirhessam Tahmassebi², Georg Wengert³, Thomas H Helbich³, Zsuzsanne Bago-Horvath⁴, Sousan Akaei⁴, Elisabeth A Morris¹, and Anke Meyer-Baese²

¹Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, ²Department of Scientific Computing, Florida State University, Tallahassee, FL, United States, ³Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, ⁴Department of Pathology, Medical University of Vienna, Vienna, Austria

Breast cancer patients that achieve pCR after NAC have a significantly improved DFS and OS. The aim of this study was to assess radiomics with multiparametric MRI using DCE and T2w imaging for the early prediction of pCR to NAC in breast cancer patients. In 41 women radiomics analysis of MRI data was performed. Histopathology using the Residual Cancer Burden (RCB) score and class were the standard of reference. Radiomics analysis of MRI achieved AUCs for RCB score (AUC 0.85), metastases (AUC 0.87) and death (AUC 0.92). Radiomics with multiparametric MRI enables prediction of response to NAC with high accuracy.

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