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NCT Number: NCT06088134

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

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.

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Key information

Conditions

Clear Cell Renal Cell Carcinoma Adenocarcinoma Carcinoma Carcinoma, Renal Cell Female Urogenital Diseases Female Urogenital Diseases and Pregnancy Complications Kidney Diseases Kidney Neoplasms Male Urogenital Diseases Neoplasms Neoplasms by Histologic Type Neoplasms by Site Neoplasms, Glandular and Epithelial Prognostic Cancer Model Recurrent Renal Cell Cancer Urogenital Diseases Urogenital Neoplasms Urologic Diseases Urologic Neoplasms

Sex eligibility

All sexes

Study type

Observational

Primary location

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Primary outcomes

  1. disease-free survival (DFS)

    Time frame: recruitment occurred between June 2013 and March 2020

    the interval from the date of surgery to disease recurrence, all-cause mortality or the last visit

Sponsors and collaborators

Lead sponsor

Mingzhao Xiao

Other

Registry information

Official study title

Urology Department of the First Affiliated Hospital of Chongqing Medical University

Important dates

Study start
2022
Primary completion
2025
Study completion
2025
First posted
Oct 18, 2023
Registry last updated
May 31, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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