Purpose: To identify a new clinical marker based on quantitative kinetic image features
analysis and assess its feasibility to predict tumor response to neoadjuvant chemotherapy.
Methods: The authors assembled a dataset involving breast MR images acquired from 68
cancer patients before undergoing neoadjuvant chemotherapy. Among them, 25 patients
had complete response (CR) and 43 had partial and nonresponse (NR) to chemotherapy
based on the response evaluation criteria in solid tumors. The authors developed a …

Dynamic contrast-enhanced breast magnetic resonance imaging (DCE-MRI) has been used
increasingly in breast cancer diagnosis and assessment of cancer treatment efficacy. In this
study, we applied a computer-aided detection (CAD) scheme to automatically segment
breast regions depicting on MR images and used the kinetic image features computed from
the global breast MR images acquired before neoadjuvant chemotherapy to build a new
quantitative model to predict response of the breast cancer patients to the chemotherapy. To …