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RECRUITING
NCT06331130

Mesenteric Infiltration in Ovarian Cancer

Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS

View on ClinicalTrials.gov

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

DIAGNOSTIC_TEST

Computed Tomography

Computed Tomography done according to Clinical Practice to assess mesenteric involvment

Locations (1)

Advanced Radiology Center

Roma, Italy