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

800 Participants
are grouped into 2 trial groups

Locations

1
Yingjie Xv400016, ChongqingChongqing Municipality, China

Sponsors and collaborators

Mingzhao Xiao

Lead sponsor

First Affiliated Hospital of Chongqing Medical University

Sponsor institution