Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorMingzhao Xiao

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

Sponsors and collaborators

Mingzhao Xiao

Lead sponsor

First Affiliated Hospital of Chongqing Medical University

Sponsor institution