Clinical trial · Observational
CT-based Radiomics for Prediction of MIT Family Translocation Kidney Cancer: a Multicenter, Retrospective Clinical Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Renal Cell Carcinoma (RCC) | Renal Cell Carcinoma | CURATED_BROADER | 0.80 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Postoperative renal tumor pathological diagnosis type
- timeFrame
- 1 week
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
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
References
Publications (0)
Data not yet available