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Mesenteric Infiltration in Ovarian Cancer
Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Summary
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.
Official title: 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.
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
510
Start Date
2024-03-01
Completion Date
2025-12-31
Last Updated
2025-03-12
Healthy Volunteers
Not specified
Conditions
Interventions
Computed Tomography
Computed Tomography done according to Clinical Practice to assess mesenteric involvment
Locations (1)
Advanced Radiology Center
Roma, Italy