About this trial
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.
Eligibility criteria
Qualifiers
underwent partial/radical nephrectomies
histologically diagnosed as ccRCC
with complete clinical data and preoperative CT image data
Disqualifiers
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
Trial design
Treatments tested in this trial
- Not listed
Trial groups
Sponsors and collaborators
Mingzhao Xiao
Lead sponsor
First Affiliated Hospital of Chongqing Medical University
Sponsor institution