Trials / Recruiting
RecruitingNCT06331130
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.
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 510 (estimated)
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS · Academic / Other
- Sex
- Female
- Age
- 18 Years
- Healthy volunteers
- —
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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | Computed Tomography | Computed Tomography done according to Clinical Practice to assess mesenteric involvment |
Timeline
- Start date
- 2024-03-01
- Primary completion
- 2025-06-30
- Completion
- 2025-12-31
- First posted
- 2024-03-26
- Last updated
- 2025-03-12
Locations
1 site across 1 country: Italy
Source: ClinicalTrials.gov record NCT06331130. Inclusion in this directory is not an endorsement.