Status:
COMPLETED
A CT-BASED Deep Learning Model for Predicting WHO/ISUP Pathological Grades of Clear Cell Renal Cell Carcinoma (ccRCC) :A Multicenter Cohort Study
Lead Sponsor:
Ting Huang
Conditions:
Tumor Grading
Deep Learning
Eligibility:
All Genders
30-88 years
Brief Summary
This study aims to establish an effective deep learning model to extract relevant information about renal tumors and kidneys from computed tomography (CT) images and predict the pathological grades of...
Eligibility Criteria
Inclusion
- Patients with a single kidney tumor have complete imaging and clinical data
- Contrast-enhanced CT scan within 30 days before surgery
- No treatment was performed before CT examination
Exclusion
- Patients with tumor recurrence
- Obvious artifacts on CT images
- The tumor is cystic
- Multiple cysts on the affected kidney affect the delineation of renal parenchyma
Key Trial Info
Start Date :
January 1 2019
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
June 30 2024
Estimated Enrollment :
483 Patients enrolled
Trial Details
Trial ID
NCT06559046
Start Date
January 1 2019
End Date
June 30 2024
Last Update
August 20 2024
Active Locations (1)
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1
Department of Urology, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua,Zhejiang, China
Jinhua, Zhejiang, China, 321000