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

RECRUITINGSponsored by Mingzhao Xiao
Actively Recruiting
SponsorMingzhao Xiao
Started2022-09-01
Est. completion2025-06-01
Eligibility
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06088134

Summary

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

Healthy volunteers accepted
Inclusion Criteria:

* underwent partial/radical nephrectomies
* histologically diagnosed as ccRCC
* with complete clinical data and preoperative CT image data

Exclusion Criteria:

* 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

Conditions4

CancerClear Cell Renal Cell CarcinomaPrognostic Cancer ModelRecurrent Renal Cell Cancer

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