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Predicting Outcome of Cytoreduction in Advanced Ovarian Cancer
Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Summary
PREDAtOOR is a pilot study and this study aims at improving the selection of the best treatment strategy for patients with advanced ovarian cancer by using Camera Vision (CV) to predict outcomes of cyto reduction at the time of Diagnostic laparoscopy.
Official title: Predicting Outcome of Cytoreduction in Advanced Ovarian Cancer, Using a Machine Learning Algorithm and Patterns of Disease Distribution at Laparoscopy (PREDAtOOR)
Key Details
Gender
FEMALE
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
151
Start Date
2023-01-02
Completion Date
2026-09-01
Last Updated
2025-12-19
Healthy Volunteers
No
Interventions
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.
Locations (1)
Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Ginecologia Oncologica
Roma, Italy