Exploring the Association of Imaging and Tumor Microenvironment in Urologic Cancer Using Radiogenomic Approach（Radiogenomics-Urinary）

Primary outcomes

• Correlation analysis of sequencing results and body composition [0.5 year]: Conducting correlation analysis between body composition and results of multi-omics sequencing.
• Correlation analysis of sequencing results and tumor radiomic features [0.5 year]: Conducting correlation analysis between radiomic features and results of multi-omics sequencing.

Secondary outcomes

• Constructing tumor microenvironment prediction model [2 years]: Constructing radiomic model to predict tumor microenvironment. The indicator is the area under the curve (AUC) of the prediction model
• Constructing a multi-dimensional prognostic prediction model [3 years]: A high-dimensional model was constructed to predict the prognosis of patients through multi-omics sequencing data, body composition, and tumor radiomic features. The indicator is the area under the curve (AUC) of the prediction model.

Sex: All, ages: 18 Years to any

Inclusion Criteria:

1. Patients treated for urologic cancer in Wuhan Union Hospital from August 2024 to August 2027;
2. Aged > 18 years old;
3. At least one CT scan or MRI scan before treatment;
4. Tissue biopsy pathological examination confirmed the diagnosis of the above tumors.

Exclusion criteria：

1. Poor image quality;
2. Incomplete clinical data or loss of follow-up;
3. Presence of another primary malignancy other than urologic cancer;
4. Unclear pathological diagnosis。