Plain-English translation of NCT06331130 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are studying CT scan images from women diagnosed with a specific type of advanced ovarian cancer called high-grade serous ovarian cancer. They want to use artificial intelligence to analyze patterns in these scans that show how the cancer has spread to the mesentery (a tissue in the abdomen), with the goal of predicting which patients will respond well to chemotherapy and which surgical approaches will work best.
Currently, doctors sometimes struggle to predict which ovarian cancer patients will respond to standard chemotherapy or whether surgery can safely remove all the cancer. This research aims to create a tool using artificial intelligence that could help doctors make better treatment decisions by reading CT scans more precisely.
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This is primarily a data collection study, not a treatment trial. If you participate, researchers will review your existing CT scan images and medical records to gather information about your cancer. The study has two parts: one looking back at records from 2021–2023, and another following newly diagnosed patients going forward. You would not receive new treatment as part of this study, but your data would help train an artificial intelligence system to help future patients.
AI-generated summary from trial data · Jun 9, 2026 · Not medical advice
Italy
Sponsor
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Collaborators
Danube University Krems, Institut du Cancer de Montpellier - Val d'Aurelle
Enrollment target
~510 participants
Started
March 2024
Primary completion
June 2025
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years and older
Sex
Female only
Last updated on clinicaltrials.gov in March 2025.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Camilla Panico, Dr
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.