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Abstract #4015

Quantitative DCE-MRI Prediction of Breast Cancer Recurrence Following Neoadjuvant Chemotherapy

Rajat Thawani1, Lina Gao2, Ajay Mohinani2, Alina Tudorica2, Xin Li2, Zahi Mitri1, and Wei Huang2
1Division of Hematology and Oncology, Oregon Health and Science University, Portland, OR, United States, 2Oregon Health and Science University, Portland, OR, United States

Synopsis

Neoadjuvant chemotherapy (NAC) is considered standard of care for locally advanced breast cancer. Pre- and post-NAC MRI is routinely used to assess response. This study aims to investigate pre- and post-NAC quantitative DCE-MRI parameters, alone and in combination with clinico-pathologic variables, for prediction of breast cancer recurrence following NAC. 47 patients underwent DCE-MRI studies pre- and post-NAC. The results show that quantitative pharmacokinetic DCE-MRI parameters, whether alone or in combination with clinico-pathologic variables, outperformed tumor size measurement by conventional imaging in prediction of recurrence. Furthermore, DCE-MRI parameters provided added value in predictive performance when combined with clinico-pathologic variables.

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