Actively Recruiting
Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
Led by Mingzhao Xiao · Updated on 2025-05-31
800
Participants Needed
1
Research Sites
152 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
Official Title
Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Underwent partial or radical nephrectomy
- Histologically diagnosed with clear cell renal cell carcinoma (ccRCC)
- Have complete clinical data and preoperative contrast-enhanced CT image data
You will not qualify if you...
- Incomplete clinic-pathological data
- Missing preoperative contrast-enhanced CT images or images unsuitable for analysis
- Received neoadjuvant or adjuvant therapies before surgery
- Have multiple renal tumors or synchronous metastasis
AI-Screening
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Trial Site Locations
Total: 1 location
1
Yingjie Xv
Chongqing, Chongqing Municipality, China, 400016
Actively Recruiting
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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