Mesenteric Infiltration in Ovarian Cancer

CT Detected Tumour Infiltration Patterns of the Mesentery in High Grade Ovarian Carcinoma (HGSOC) Patients, Their Role in Treatment Planning and Outcome Prediction and How Machine Learning Can be Applied to Identify Them.

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.

Inclusion Criteria:

1. Women with confirmed HGSOC wiht mesenteric involvment
2. Age > 18 years
3. FIGO STAGE IIIB-IV
4. Primary diagnosis
5. Signed informed consent

Exclusion Criteria:

1. Non-serous high grade epithelial ovarian cancer (serous low grade, mucinous, clear cell carcinoma, endometrioid or non-epithelial ovarian cancer)
2. Early stage disease (I and II stage)
3. CT scan not available
4. Non-primary diagnosis or patient subjected to neoadjuvant chemotherapy