Predicting Response to NAT (Radiomics) - MRI

Neoadjuvant systemic therapy (NAT) is becoming a standard of care for patients with locally advanced breast cancer. MRI is the most accurate modality to evaluate response to therapy and to help ensure accurate presurgical planning. Functional MRI sequences, such as DCE-MRI, DWI with ADC analysis, as well as advanced imaging software using texture analysis and deep learning, are promising tools for predicting response, possibly leading to the early modification and tailoring of NAC regimens. The goal of this session is to review current advances in the MRI based evaluation of response to treatment in breast cancer patients undergoing NAT.