Deep learning study for gynecologic muscle tumors
Part of Cancer, Women’s health & pregnancy clinical trials.
This trial uses a computer to study tissue samples from uterine muscle tumors (like fibroids and rare cancers). The goal is to improve how doctors classify these tumors and predict patient outcomes.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You have a uterine smooth muscle tumor (such as a fibroid, a tumor of uncertain malignancy, or a leiomyosarcoma).
- Your tumor information is recorded in the RRePS database or you were treated at Institut Bergonié or another participating center.
- A tissue sample from your tumor (in a paraffin block or on a slide) is available for the study.
- If you have a leiomyosarcoma or a tumor of uncertain malignancy, your follow-up information (how you did after treatment) is needed.
- You are willing to let researchers use your stored tumor tissue for this study.
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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