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

Urology Department of the First Affiliated Hospital of Chongqing Medical University

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06088134

Enrollment

800

Registered

2023-10-18

Start date

2022-09-01

Completion date

2025-08-01

Last updated

2025-05-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model, Recurrent Renal Cell Cancer

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Healthy volunteers

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

Design outcomes

Primary

Measure	Time frame	Description
disease-free survival (DFS)	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

Countries

China

Outcome results