Clinical Research Directory
Browse clinical research sites, groups, and studies.
MRI Radiomics Combined With Pathomics on the Prediction of Molecular Classification and Prognosis of Endometrial Cancer
Sponsor: Fujian Cancer Hospital
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.
Official title: Study on the Prediction of Molecular Classification and Prognosis of Endometrial Cancer Using a Model Constructed by Magnetic Resonance Imaging Radiomics Combined With Pathomics
Key Details
Gender
FEMALE
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
350
Start Date
2024-01-01
Completion Date
2027-06-30
Last Updated
2023-11-15
Healthy Volunteers
Not specified
Conditions
Interventions
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.
Locations (1)
Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital
Fuzhou, Fujian, China