Evaluating CT features in ovarian cancer for AI model development
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.
This study is testing if certain CT scan features in women with advanced ovarian cancer can help create an AI model to predict surgery success and chemotherapy response.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 510 (estimated) |
| Ages | 18 Years and up |
| Sex | Female |
| Sponsor | Fondazione Policlinico Universitario Agostino Gemelli IRCCS Academic / other |
| Drugs / interventions | chemotherapy |
| Locations | 1 site (Roma) |
| Trial ID | NCT06331130 on ClinicalTrials.gov |
What this trial studies
This observational study aims to assess whether computed tomography (CT) features at diagnosis in women with high-grade serous ovarian cancer (HGSOC) can be utilized to create an artificial intelligence model. The model will focus on identifying pathological involvement of the mesentery, which may affect the feasibility of optimal debulking surgery and predict resistance to platinum-based chemotherapy. The study will include women over 18 years old with confirmed HGSOC and mesenteric involvement, specifically those at advanced FIGO stages IIIB-IV.
Who should consider this trial
Good fit: Ideal candidates are women over 18 with confirmed high-grade serous ovarian cancer and mesenteric involvement at advanced stages.
Not a fit: Patients with early-stage ovarian cancer or those with non-serous high-grade epithelial ovarian cancer may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could enhance surgical planning and treatment strategies for patients with advanced ovarian cancer.
How similar studies have performed: While the use of AI in medical imaging is gaining traction, this specific approach to mesenteric involvement in ovarian cancer is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
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
Where this trial is running
Roma
- Advanced Radiology Center — Roma, Italy (Recruiting)
Study contacts
- Principal investigator: Camilla Panico, Dr — Fondazione Policlinico Universitario Agostino Gemelli IRCCS
- Study coordinator: Camilla Panico, Dr
- Email: camilla.panico@policlinicogemelli.it
- Phone: +390630155701
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.