About this trial
To evaluate if CT features at diagnosis in patients with HGSOC can be used to build an Artificial Intelligence model capable of discerning the pathological involvement of the mesentery, assessing the potential impediments for an optimal debulking surgery and predicting the development of resistance to platinum based chemotherapeutic agents.
Eligibility criteria
Qualifiers
Women with confirmed HGSOC wiht mesenteric involvment
Age > 18 years
FIGO STAGE IIIB-IV
Primary diagnosis
Disqualifiers
Non-serous high grade epithelial ovarian cancer (serous low grade, mucinous, clear cell carcinoma, endometrioid or non-epithelial ovarian cancer)
Early stage disease (I and II stage)
CT scan not available
Non-primary diagnosis or patient subjected to neoadjuvant chemotherapy
Trial design
Treatments tested in this trial
- Computed Tomography
Treatment groups
Sponsors and collaborators
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Lead sponsor
Danube University Krems
Collaborator
Institut du Cancer de Montpellier - Val d'Aurelle
Collaborator
Ente Ospedaliero Cantonale, Ticino, Switzerland
Collaborator