AI eye on the womb: new MRI model aims to spot hidden cancer
NCT ID NCT07269535
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will check if an artificial intelligence (AI) model can accurately tell the difference between common, non-cancerous uterine fibroids and a rare but serious cancer called uterine sarcoma using MRI scans. Researchers will enroll 500 women who are scheduled for surgery or long-term follow-up. The goal is to see if the AI tool works well in real-world hospital settings to help doctors make faster, more accurate diagnoses and guide treatment decisions.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 500 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Nov 2025
An estimate. Start dates often move.
- Expected to finish
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Jan 2050
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients with a pathological diagnosis of uterine leiomyoma or uterine sarcoma will be recruited.
- Ages
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Children (under 18), adults (18 to 64) and older adults (65 and over)
- Sex
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Female participants only
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
1. Inclusion Criteria: 1.1 Patients clinically evaluated and radiologically examined (including MRI, particularly T2WI and DWI sequences) who are diagnosed with uterine leiomyoma or considered highly suspected of uterine sarcoma, in combination with preliminary pathological findings. 1.2 Patients scheduled for surgical treatment or those eligible for long-term standardized follow-up. 1.3 Patients who are able to understand the study procedures and voluntarily sign the written informed consent form. 2. Exclusion Criteria: 2.1 Patients with severe organic diseases or a previous confirmed diagnosis of other malignant uterine tumors. 2.2 Patients unable to complete baseline examinations, unable to comply with long-term follow-up, or unwilling to provide written informed consent.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
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Other studies related to the condition(s) this trial covers.
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