Clinical trial · Observational
Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
Urology Department of the First Affiliated Hospital of Chongqing Medical University
NCT06088134CI-TRIAL-00090419recruitingClinicalTrials.gov clinicaltrialsProvenance
- 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 study aims to preoperatively predict DFS of patients with localised ccRCC using a deep learning prognostic model based on enhanced contrast CT images, validate it's predictive ability in multicentre data and compare it's predictive ability with traditional models.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Clear Cell Renal Cell Carcinoma | Clear Cell Renal Cell Carcinoma | ONTOLOGY_EXACT | 0.98 |
| Prognostic Cancer Model | — | UNRESOLVED | — |
| Recurrent Renal Cell Cancer | Renal Cell Carcinoma | CURATED_BROADER | 0.80 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (2)
- label
- Non-recurrence group
- label
- Recurrence group
Primary outcomes (1)
- measure
- disease-free survival (DFS)
- timeFrame
- recruitment occurred between June 2013 and March 2020
- description
- the interval from the date of surgery to disease recurrence, all-cause mortality or the last visit
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * underwent partial/radical nephrectomies * histologically diagnosed as ccRCC * with complete clinical data and preoperative CT image data Exclusion Criteria: * with incomplete clinic-pathological data * lack of preoperative contrast-enhanced CT images or the image quality was unsuitable for analysis * who received pre-surgery neoadjuvant or adjuvant therapies * with multiple renal tumors or/and had synchronous metastasis
References
Publications (1)
- DERIVEDXv Y, Wei Z, Jiang Q, Zhang X, Chen Y, Xiao B, Yin S, Xia Z, Qiu M, Li Y, Tan H, Xiao M. Three-dimensional deep learning model complements existing models for preoperative disease-free survival prediction in localized clear cell renal cell carcinoma: a multicenter retrospective cohort study. Int J Surg. 2024 Nov 1;110(11):7034-7046. doi: 10.1097/JS9.0000000000001808. PMID 38896853