Abstract
Neoadjuvant therapy is used to treat breast cancer through preventive agents. This new type of chemotherapy is prescribed according to the size of the tumor, so as to reduce the tumor mass and give more surgical options. Neoadjuvant hormone treatment is also helping to shrink breast cancer in lymph nodes or elsewhere in the breast before surgery. A significant aspect of the treatment is to predict breast tumor response to neoadjuvant chemotherapy. Here, the latest advanced breast tumor response techniques have been presented for this type of therapy. These techniques are classified into three categories: deep and machine learning, quantitative ultrasound spectroscopy, and magnetic resonance imaging. These methods were important for the prediction of a tumor's chemical response to the neoadjuvant chemotherapy. Tumor response assessment leads to effective chemical treatment, which decreases the size of the breast tumor and allows surgery to remove the tumor effectively.