A.I and Machine Learning Based Risk Prediction Model to Improve the Clinical Management of Endometrial Cancer.

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
Age18+
SponsorRegina Elena Cancer Institute

About this trial

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.

Eligibility criteria

Qualifiers

Age > 18 years;

Histological diagnosis of endometrial hyperplasia, endometrioid adenocarcinoma of the endometrium, healthy endometrium in patients undergoing total hysterectomy for benign extra-endometrial disease;

Written informed consent (to the study and data processing), for the party's patients only prospective and/or in follow-up) For the retrospective cohort: availability of samples adequately stored at the biobank of the Institute and availability of data relating to follow-up (at least 2 years)

Disqualifiers

Comorbidities not controlled with adequate medical therapy;

Infections of the endometrial cavity (pyometra);

Synchronous cancer;

Neoadjuvant treatments;

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

40 Participants
are grouped into 2 trial groups

Sponsors and collaborators

Regina Elena Cancer Institute

Lead sponsor

University of Rome Tor Vergata

Collaborator

Casa Sollievo della Sofferenza-IRCCS, San Giovanni Rotondo

Collaborator

Universita degli Studi di Palermo

Collaborator