Endometrial cancer
Conditions
Interventions
Gold Standard:Pathological diagnosis::Endometrial cancer
Pathological immunohistochemical diagnosis:Lymphatic vessel invasion.
Index test:Analyzing MRI images through radiomics and machine learning methods to predict lymphatic vessel invasion in endometrial cancer.
Sponsors
Yuebei People’s Hospital
Eligibility
Sex/Gender
Female
Age
20 Years to 80 Years
Inclusion criteria
Inclusion criteria: 1.The histopathological findings indicate endometrial carcinoma, including endometrioid carcinoma, mucinous carcinoma, serous carcinoma, clear cell carcinoma, and undifferentiated carcinoma, but excluding carcinosarcoma. 2.Lvsi immunohistochemistry results are available. 3.MRI examination has been completed, and comprehensive clinical information is available. 4.The maximum diameter of the endometrial carcinoma lesion on MRI is greater than 0.5 cm. 5.The expected survival period is estimated to be at least greater than 6 months. 6.Aged between 20 and 80 years, without severe heart disease, and without significant liver or kidney dysfunction.
Exclusion criteria
Exclusion criteria: 1.Incomplete clinical and Radiological data. 2.Radiotherapy or chemotherapy for endometrial cancer before enrollment. 3.The MRI images contain artifacts, making them unsuitable for radiomics and deep learning analysis. 4.Deemed unsuitable for participation in this study as determined by the investigator.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Radiomics characterisation of ROI that semi-automatically separates endometrial cancer lesions by hand,Including geometric features, intensity features, and texture features; | — |
Secondary
| Measure | Time frame |
|---|---|
| Lymphovascular space invasion status; | — |
Countries
China
Contacts
Public ContactSun Junqi
Yuebei People’s Hospital
Outcome results
None listed