NCT07181954Completed
CT-based Radiomics for Prediction of MIT Family Translocation Kidney Cancer: a Multicenter, Retrospective Clinical Study
Source: ClinicalTrials.gov · Last updated 19 Sept 2025
Brief summary (registry, in English)
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.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 746 (actual)
- First submitted
- 12 Sept 2025
- Start date
- 15 Jan 2016
- Primary completion date
- 15 Dec 2023
- Lead sponsor
- First Affiliated Hospital of Fujian Medical University
- Diseases
- Kidney cancer, Childhood cancers
- NCT number
- NCT07181954
What you commit to
- Study type: Observational
- Participants enrolled: 746
- From 15 Jan 2016 to the primary completion date, 15 Dec 2023
- No sites listed in no country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Combined with other malignant tumors: have been treated with other malignant tumors (or have other untreated active malignancies at the same time);
Other
- Patients who are not suitable for treatment: patients with severe comorbidities or unable to receive any form of treatment;
- Patients with poor CT image quality/absence;
- Patients with missing clinical/pathological/follow-up data
Who the study is looking for
- 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)
Sex: All · Does not accept healthy volunteers
This page is information, not medical advice. Discuss any trial with your doctor.