Plain-English translation of NCT06448897 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are developing a computer-based prediction tool that analyzes MRI images taken before cervical cancer surgery to better identify which patients have cancer that has spread to nearby lymph nodes. The tool is trained using images and surgical results from cervical cancer patients who have already been treated. By improving predictions before surgery, doctors hope to make better treatment decisions for future patients.
Currently, doctors can't always tell from imaging alone whether cancer has spread to lymph nodes. This can make it harder to plan the right treatment. This study aims to create a more accurate predictive tool using artificial intelligence to help doctors detect lymph node involvement earlier and more reliably.
This is a retrospective study, meaning researchers will review your existing medical records, MRI images, and pathology results — you won't need to attend visits or undergo new procedures. The study involves analyzing images and data that were already collected as part of your standard cancer care. Your participation simply means allowing the research team to use your de-identified information (with your privacy protected) to help train and validate the artificial intelligence model.
AI-generated summary from trial data · Jun 13, 2026 · Not medical advice
China
Sponsor
Obstetrics & Gynecology Hospital of Fudan University
Enrollment target
~4,000 participants
Started
February 2024
Primary completion
December 2025
Age range
18 Years – 80 Years
Sex
Female only
Last updated on clinicaltrials.gov in June 2024.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Xin Wu
Obstetrics & Gynecology Hospital of Fudan University