Therefore, pre-treatment assessment of Ki-67 dynamics during NAT is crucial for evaluating patient prognosis.This study aims to predict the change in Ki-67 index in breast cancer patients following NAT using radiomic features derived from DCE-MRI.<h4>Methods</h4>This retrospective study enrolled 148 breast cancer patients who underwent surgical resection after 6-8 cycles of NAT, randomly divided into training (n=104) and test cohorts (n=44) at a 7:3 ratio. The gene discussed is MKI67; the disease is breast cancer.