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

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Trial Identification

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

Official Title: Urology Department of the First Affiliated Hospital of Chongqing Medical University

Study ID: NCT06088134

Interventions

Study Description

Brief 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.

Detailed Description:

Keywords

Eligibility

Minimum Age:

Eligible Ages: CHILD, ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Yingjie Xv, Chongqing, Chongqing, China

Contact Details

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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