Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
Clear Cell Renal Cell CarcinomaPrognostic Cancer ModelRecurrent Renal Cell Cancer
Study 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
Sex
ALL
Min age
—
Max age
—
Healthy volunteers
No
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
Primary outcome measure(s)
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
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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