Actively Recruiting
A.I and Machine Learning Based Risk Prediction Model to Improve the Clinical Management of Endometrial Cancer.
Led by Regina Elena Cancer Institute · Updated on 2025-02-24
40
Participants Needed
1
Research Sites
104 weeks
Total Duration
On this page
Sponsors
R
Regina Elena Cancer Institute
Lead Sponsor
U
University of Rome Tor Vergata
Collaborating Sponsor
AI-Summary
What this Trial Is About
Prediction of preoperative endometrial biopsy: the evolution from hyperplasia to cancer, the prognosis and the risk of recurrence. Intelligence methods artificial risk will be used to redefine the current risk classes including our profile immuno-mutational to provide a more precise characterization and closer to the real prognosis of the patient.
CONDITIONS
Official Title
A.I and Machine Learning Based Risk Prediction Model to Improve the Clinical Management of Endometrial Cancer.
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age > 18 years
- Histological diagnosis of endometrial hyperplasia, endometrioid adenocarcinoma of the endometrium, or healthy endometrium in patients undergoing total hysterectomy for benign extra-endometrial disease
- Provided written informed consent for participation and data processing
- For retrospective participants: availability of stored samples and follow-up data for at least 2 years
You will not qualify if you...
- Uncontrolled comorbidities despite adequate medical therapy
- Infections of the endometrial cavity such as pyometra
- Presence of synchronous cancer
- Receipt of neoadjuvant treatments
- Prior radiotherapy treatments to the pelvic region
- Use of hormone therapies
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
IRCCS National Cancer Institute "Regina Elena"
Rome, Italy, 00144
Actively Recruiting
Research Team
E
Enrico Vizza, Doctor
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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