ORACLE: Ovarian cancer Radiomics Approach in CT Led Evaluation
Research type
Research Study
Full title
Prospective validation of CT based radiomic models to predict surgical and clinical outcomes in advanced epithelial ovarian cancer
IRAS ID
336944
Contact name
Selina Chiu
Contact email
Sponsor organisation
Imperial College Healthcare NHS Trust
Clinicaltrials.gov Identifier
Not applicable, Not applicable
Duration of Study in the UK
8 years, 0 months, 1 days
Research summary
Ovarian cancer is the sixth most common female cancer in the United Kingdom and is one of the most lethal gynaecological cancer, with only a third of women surviving more than 10 years. When patients have suspected or confirmed ovarian cancer standard treatment will involve surgery and chemotherapy. However, as with any cancer, it is challenging to diagnose early or predict treatment response in advance. Before treatment, all patients have a CT scan to describe where the cancer is and to guide treatment.
There is now a new way to analyse routine scans using advanced computing methods, which may give more information about the ovarian cancer. This is called radiomics which analyses features in scans that are not visible to the naked eye. Our group at Imperial College London has worked on developing radiomic models to better understand ovarian cancer.
Our study aims to determine whether the information we gain from this new approach would help us to tailor patient treatment plans to better meet the patient’s individual needs, even more than we can already. Furthermore, we aim to understand how different types of ovarian cancer can correlate with the radiomic findings, which may help develop potential treatments in the future.
REC name
South Central - Berkshire B Research Ethics Committee
REC reference
25/SC/0032
Date of REC Opinion
22 Jan 2025
REC opinion
Further Information Favourable Opinion