Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
Recruiting
Observational Study
Clear Cell Renal Cell Carcinoma
Prognostic Cancer Model
Recurrent Renal Cell Cancer
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Sex
- Any
- Study type
- Observational
- Participants needed
- 800 (estimated)
- Sponsor
- Mingzhao Xiao · Other
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About This Trial
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.
Trial Locations
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Eligibility Criteria
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…
Contacts
No contact information available.