NCT07129005Enrolling by invitation
Radiomics-Based Non-Invasive MRI Differentiation of Uterine Sarcomas and Fibroids
Non-invasive Differentiation of Uterine Sarcomas From Uterine Fibroids Using Multiparametric MRI Radiomics
Source: ClinicalTrials.gov · Last updated 8 Oct 2026
Brief summary (registry, in English)
This retrospective case-control study aims to develop and validate a diagnostic model based on multimodal big data and artificial intelligence to differentiate uterine leiomyoma from uterine sarcoma. Investigators will extract historical case data from existing inpatient and outpatient records, including medical history, physical and gynecological examination findings, MRI imaging data, laboratory results, and pathological records. The study seeks to address the question of whether integrating diverse retrospective clinical data with advanced AI techniques can accurately classify uterine tumors as benign leiomyomas or malignant sarcomas, thereby supporting clinical decision-making and optimizing diagnostic workflows.
- Status (registry)
- Enrolling by invitation
- Study type
- Observational
- Enrollment
- 520 (estimated)
- First submitted
- 3 Aug 2025
- Start date
- 1 Jan 2025
- Primary completion date
- 30 Jul 2025
- Lead sponsor
- Tongji Hospital
- Diseases
- Sarcoma
- NCT number
- NCT07129005
What you commit to
- Study type: Observational
- Planned participants: 520
- From 1 Jan 2025 to the primary completion date, 30 Jul 2025
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Concurrent pelvic malignancies. To avoid the influence of other types of tumors on the imaging features of uterine sarcoma and leiomyoma, and to ensure the pertinence and accuracy of the model.
Other
- Tumors smaller than 2 cm. Small tumors may be difficult to accurately perform segmentation and feature extraction, which may affect the accuracy and reliability of the model.
- Non-primary uterine sarcomas. Sarcomas from other sites with metastasis to the uterus were excluded because the biological characteristics and imaging findings of these tumors may differ from those of primary uterine sarcomas and may lead to bias in the diagnostic model.
Who the study is looking for
- Histopathological confirmation of uterine sarcoma or leiomyoma.
- Availability of preoperative MRI, includingT2WI and DWI, performed within 2 months of the surgery.
Age in the registry: 18 years to - · Sex: Female · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology Coordinator of this site? Confirm its status | Wuhan | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.