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

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...

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Bibliographic Details
Published in:Scientific reports 2019-07, Vol.9 (1), p.10742-9, Article 10742
Main Authors: Deen, Surrin S., Priest, Andrew N., McLean, Mary A., Gill, Andrew B., Brodie, Cara, Crawford, Robin, Latimer, John, Baldwin, Peter, Earl, Helena M., Parkinson, Christine, Smith, Sarah, Hodgkin, Charlotte, Patterson, Ilse, Addley, Helen, Freeman, Susan, Moyle, Penny, Jimenez-Linan, Mercedes, Graves, Martin J., Sala, Evis, Brenton, James D., Gallagher, Ferdia A.
Format: Article
Language:English
Subjects:
59/57
631/67/1059/99
631/67/2321
Adult
Aged
Aged, 80 and over
Biomarkers
Biopsy
Chemotherapy
Cystadenocarcinoma, Serous - diagnostic imaging
Cystadenocarcinoma, Serous - drug therapy
Cystadenocarcinoma, Serous - pathology
Diffusion coefficient
Diffusion Magnetic Resonance Imaging - methods
Environmental Biomarkers
Feasibility studies
Female
Heterogeneity
Histology
Humanities and Social Sciences
Humans
Immunohistochemistry
Kurtosis
Magnetic resonance imaging
Middle Aged
multidisciplinary
Neoadjuvant Therapy - methods
Oncology
Ovarian cancer
Ovarian Neoplasms - diagnostic imaging
Ovarian Neoplasms - drug therapy
Ovarian Neoplasms - pathology
Ovary - diagnostic imaging
Ovary - pathology
Patients
Radiology
Science
Science (multidisciplinary)
Solid tumors
Treatment Outcome
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Summary: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  
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-019-47195-4