ArticleScientific reports2019
Diffusion kurtosis MRI as a predictive biomarker of response to neoadjuvant chemotherapy in high grade serous ovarian cancer.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Multi-b-value diffusion-weighted imaging-derived parameters for differentiating high-grade serous ovarian carcinoma from other epithelial ovarian cancers.Japanese journal of radiology · 2025Article
- Comparing Characteristics of Pelvic High-grade Serous Carcinomas with and without Breast Cancer Gene Variants on MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Article
- Multiparametric MRI for evaluation of pathological response to the neoadjuvant chemo-immunotherapy in resectable non-small-cell lung cancer.European radiology · 2023Article
- Insights into ovarian cancer care: report from the ANZGOG Ovarian Cancer Webinar Series 2020.Journal of gynecologic oncology · 2021Review
- Multiparametric MRI of early tumor response to immune checkpoint blockade in metastatic melanoma.Journal for immunotherapy of cancer · 2021Article
- Investigating the relationship between diffusion kurtosis tensor imaging (DKTI) and histology within the normal human brain.Scientific reports · 2021Article
- Assessing Histology Structures byFrontiers in oncology · 2021Article
- Diffusion Kurtosis Imaging as a Prognostic Marker in Osteosarcoma Patients with Preoperative Chemotherapy.BioMed research international · 2020Article
Corrections and comments
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Authors and funding
21 authors at 2 institutions in 1 country.
Funding
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
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Registered trials
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