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

Abstract:
AbstractThis 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 (Dapp) and apparent kurtosis (Kapp). Tumour cellularity and proliferation were quantified using histology and Ki-67 immunohistochemistry. Mean Kapp 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 Kapp (rho = 0.50, P = 0.04) and negatively with both ADC (rho = −0.72, P = 0.001) and Dapp (rho = −0.80, P < 0.001). Ki-67 expression correlated with Kapp (rho = 0.53, P = 0.03) but not with ADC or Dapp. In conclusion, Kapp 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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41598-019-47195-4

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-6206-7337
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Role:
Author
ORCID:
0000-0002-9771-4290
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Role:
Author
ORCID:
0000-0002-3752-0179
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Role:
Author
ORCID:
0000-0002-9287-9563
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Role:
Author
ORCID:
0009-0004-7146-8855


Publisher:
Nature Research
Journal:
Scientific Reports More from this journal
Volume:
9
Issue:
1
Pages:
10742-10742
Publication date:
2019-07-24
DOI:
EISSN:
2045-2322
ISSN:
2045-2322


Language:
English
Keywords:
Pubs id:
1845072
Local pid:
pubs:1845072
Source identifiers:
W2958071656
Deposit date:
2026-01-08
ARK identifier:
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