A Multimodal Predictive Recurrence Score for Patients With Clear Cell Renal Cell Carcinoma

Shanghai Jiao Tong University

Status: Completed

Conditions: Renal Cell Carcinoma, Clear Cell

Study type: Observational

Funder types: Other

Identifiers

NCT06656039

ccRCC MRPS

Details and patient eligibility

About

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.

Enrollment: 1,200 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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

Trial design

1,200 participants in 3 patient groups

Training cohort

Validation cohort

Test cohort