Diffusion kurtosis MRI as a predictive biomarker of response to neoadjuvant chemotherapy in high grade serous ovarian cancer.

ABSTRACT: This study assessed the feasibility of using diffusion kurtosis imaging (DKI) as a measure of tissue heterogeneity and proliferation to predict the response of high grade serous ovarian cancer (HGSOC) to neoadjuvant chemotherapy (NACT). Seventeen patients with HGSOC were imaged at 3 T and had biopsy samples taken prior to any treatment. The patients were divided into two groups: responders and non-responders based on Response Evaluation Criteria In Solid Tumours (RECIST) criteria. The following imaging metrics were calculated: apparent diffusion coefficient (ADC), apparent diffusion (D_app) and apparent kurtosis (K_app). Tumour cellularity and proliferation were quantified using histology and Ki-67 immunohistochemistry. Mean K_app before therapy was higher in

SUBMITTER: Deen SS 

PROVIDER: S-EPMC6656714 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature