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.
underwent partial/radical nephrectomies
histologically diagnosed as ccRCC
with complete clinical data and preoperative CT image data
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
Patients admitted to urology departments at participating medical centres
Cohort
Retrospective
Not listed
disease-free survival (DFS)
the interval from the date of surgery to disease recurrence, all-cause mortality or the last visit
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Mingzhao Xiao
Lead sponsor
First Affiliated Hospital of Chongqing Medical University
Sponsor institution
