Predicting Outcome of Cytoreduction in Advanced Ovarian Cancer

NARecruitingINTERVENTIONAL
Enrollment

50

Participants

Timeline

Start Date

March 29, 2025

Primary Completion Date

October 25, 2025

Study Completion Date

October 25, 2025

Conditions
Ovarian Cancer Stage IIIOvarian Cancer Stage IV
Interventions
DIAGNOSTIC_TEST

Artificial Intelligence

With the introduction of artificial intelligence and machine learning, there is a possibility to create more precise prediction models using images from these diagnostic laparoscopy videos. In particular, it would like to use images from the diagnostic laparoscopy to create machine-learning models to help predict if the tumors can be successfully taken out at primary surgery, or if chemotherapy before surgery would be needed. During surgery time the surgical team takes images however, what makes this different is that these images will be used to help create an algorithm to predict surgical outcomes. These images will be stored in a secure database with an anonymous number not linking these pictures to any of the participants.

Trial Locations (1)

00168

RECRUITING

Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Ginecologia Oncologica, Roma

All Listed Sponsors
lead

Fondazione Policlinico Universitario Agostino Gemelli IRCCS

OTHER