This project intends to construct a multicenter retrospective study, retrospectively collect clinical, imaging, pathological and prognostic data of patients, establish a complete data management system, establish a prediction model based on CT radiomics characteristics by combining radiomics, and verify the internal and external sequence of the model, which will improve the preoperative clinical diagnosis level of MIT family translocation kidney cancer, and then guide personalized and precise diagnosis and treatment.

Inclusion Criteria:

1. Pathological diagnosis of RCC;
2. Have complete clinical, pathological and follow-up data;
3. Renal CT plain scan and enhanced images can be obtained from the image storage and transmission system (PACS)

Exclusion Criteria:

1. Patients who are not suitable for treatment: patients with severe comorbidities or unable to receive any form of treatment;
2. Combined with other malignant tumors: have been treated with other malignant tumors (or have other untreated active malignancies at the same time);
3. Patients with poor CT image quality/absence;
4. Patients with missing clinical/pathological/follow-up data

Retrospective data collection was conducted from January 2009 to December 2023 at the First Affiliated Hospital of Fujian Medical University, the Provincial Hospital Affiliated to Fuzhou University, the Second Affiliated Hospital of Fujian Medical University, the First Affiliated Hospital of Chongqing Medical University, and the First Affiliated Hospital of Xiamen University.