Süleyman Öncü

Comparing clinicopathological factors and quantitative background parenchymal enhancement to predict pathological complete response after neoadjuvant chemotherapy in breast cancer

PURPOSE: To investigate the predictive value of deep learning (nnU-Net)-based fully automated quantitative background parenchymal enhancement (BPE) metrics and clinicopathological factors for pathological complete response (pCR) in patients with breast cancer receiving neoadjuvan...