The main goal of this observational study is to construct a predictive recurrence model for renal clear cell carcinoma through an artificial intelligence multimodal algorithm, which will improve the prognosis and survival time of ccRCC patients by helping clinicians to formulate individualised follow-up and to screen for appropriate adjuvant therapy candidates.

Inclusion Criteria:

• Patients with malignant renal tumours must have postoperative pathological confirmation of renal clear cell carcinoma with pathological TNM stage Ⅰ-Ⅲ;
• Have available preoperative imaging
• Have available post-operative pathological paraffin samples or HE-stained tissue sections
• Must agree to and be able to comply with the study's visit schedule and other requirements as specified in the protocol, including follow-up visits by telephone

Exclusion Criteria:

• The patient's tumour type cannot be determined on the basis of histopathological sections
• Simultaneous combination of primary tumours at other sites;
• No regular follow-up imaging data
• Cases in which other factors led the investigator to believe that enrolment was inappropriate
• Cases that met all the inclusion criteria of the appeal and did not meet all the exclusion criteria were selected for this study

Pathologically confirmed postoperative patients with renal clear cell carcinoma of TNM stage I-III

Data will be made available to interested research partners upon reasonable request to Zhaiwei or Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; the prerequisite for this is a data transfer agreement, approved by the legal departments of the requesting researcher and by all legal departments of the institutions that provided data for the study, and an ethics clearance.