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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

800 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-09-01

Study Completion Date

2025-08-01

Brief Summary

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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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Detailed Description

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Conditions

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

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Non-recurrence group

No interventions assigned to this group

Recurrence group

No interventions assigned to this group

Eligibility Criteria

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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

Eligible Sex

ALL

Accepts Healthy Volunteers

No