Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
Recruiting now
Conditions studied: Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model, Recurrent Renal Cell Cancer
In brief
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.
Key facts
- Study ID
- NCT06088134
- Run by
- Mingzhao Xiao
- People needed
- 800
- Starts
- 2022-09-01
- Expected to finish
- 2025-08-01
- Last updated by the study team
- 2025-05-31
Who can join
Age: any. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- underwent partial/radical nephrectomies
- histologically diagnosed as ccRCC
- with complete clinical data and preoperative CT image data
You may not qualify if…
- 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
Where it is running
- Yingjie Xv — Chongqing, Chongqing Municipality, China (enrolling)
Full record on ClinicalTrials.gov
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