文章基本信息

标题：Diffusion kurtosis MRI as a predictive biomarker of response to neoadjuvant chemotherapy in high grade serous ovarian cancer
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作者：Surrin S. Deen ; Andrew N. Priest ; Mary A. McLean 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2019
卷号：9
期号：1
页码：1-9
DOI：10.1038/s41598-019-47195-4
出版社：Springer Nature
摘要：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 responders compared to non-responders: 0.69 ± 0.13 versus 0.51 ± 0.11 respectively, P = 0.02. Tumour cellularity correlated positively with K app (rho = 0.50, P = 0.04) and negatively with both ADC (rho = -0.72, P = 0.001) and D app (rho = -0.80, P < 0.001). Ki-67 expression correlated with K app (rho = 0.53, P = 0.03) but not with ADC or D app . In conclusion, K app was found to be a potential predictive biomarker of NACT response in HGSOC, which suggests that DKI is a promising clinical tool for use oncology and radiology that should be evaluated further in future larger studies.