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

NCT07181954 | Completed

• 1 other identifier: MRCTA, ECFAH of FMU [2025]794
• Study Type: observational
• Target: 746
• Locations: 0 countries
• Sites: N/A

Brief Summary

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.

Conditions

Renal Cell Carcinoma (RCC)

Keywords

Renal Cell Carcinoma; Computed Tomography; MIT

Outcome Measures

Primary Outcomes (1)

• Postoperative renal tumor pathological diagnosis type

  1 week

Eligibility Criteria

• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

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.

You may qualify if:

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

You may not qualify if:

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

Sponsors & Collaborators

• First Affiliated Hospital of Fujian Medical University: lead

MeSH Terms

Conditions

Carcinoma, Renal Cell

Condition Hierarchy (Ancestors)

Adenocarcinoma; Carcinoma; Neoplasms, Glandular and Epithelial; Neoplasms by Histologic Type; Neoplasms; Kidney Neoplasms; Urologic Neoplasms; Urogenital Neoplasms; Neoplasms by Site; Female Urogenital Diseases; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Kidney Diseases; Urologic Diseases; Male Urogenital Diseases

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: September 12, 2025
• First Posted: September 19, 2025
• Study Start: January 15, 2016
• Primary Completion: December 15, 2023
• Study Completion: December 31, 2023
• Last Updated: September 19, 2025

Record last verified: 2025-09

Data Sharing

• IPD Sharing: Will not share