CT-based Radiomics for Prediction of MIT Family Translocation Kidney Cancer: a Multicenter, Retrospective Clinical Study

N/ACompletedNCT07181954

First Affiliated Hospital of Fujian Medical University746 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

746

Conditions

Renal Cell Carcinoma (RCC)

Eligibility

Sex: ALL

Medical Language ↔ Plain English

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

Outcomes

Primary Outcomes

Postoperative renal tumor pathological diagnosis type

Time frame: 1 week