MRI Radiomics Combined With Pathomics on the Prediction of Molecular Classification and Prognosis of Endometrial Cancer
NCT06126393 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 350
Last updated 2023-11-15
Summary
Molecular typing provides accurate information for the diagnosis, treatment and prognosis prediction of endometrial cancer, which has important clinical significance. However, due to its high cost and complicated process, it is difficult to be widely used in clinical practice. Based on the artificial intelligence method, this study fused the characteristics of MRI radiomics and pathomics, combined with the clinical pathological information, built a model to predict the molecular typing and prognosis, analyzed the biological characteristics of endometrial cancer from the multi-scale level, guided the personalized and precise diagnosis and treatment, in order to improve the prognosis of patients.
Conditions
- Endometrial Neoplasms
Interventions
- DIAGNOSTIC_TEST
-
next generation sequencing AND Immunohistochemical examination
First, the mismatch repair (MMR) proteins were detected by immunohistochemistry, and the deletion of one or more proteins was classified as d-MMR subtype; Then the POLE gene mutation detection was performed, and the mutation Changes were classified as POLE mutation; Finally, p53 was detected by immunohistochemistry, and p53 mutant (p53 abn) and p53 wild-type (p53wt) were distinguished.
Sponsors & Collaborators
-
Fujian Provincial Hospital
collaborator OTHER -
First Affiliated Hospital of Fujian Medical University
collaborator OTHER -
Gutian Hospital
collaborator UNKNOWN -
Fujian Cancer Hospital
lead OTHER_GOV
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- FEMALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-01-01
- Primary Completion
- 2027-03-31
- Completion
- 2027-06-30
Countries
- China
Study Locations
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