Status:
ACTIVE_NOT_RECRUITING
Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Upper Tract Urothelial Carcinoma
Lead Sponsor:
Mingzhao Xiao
Conditions:
UTUC
Eligibility:
All Genders
Brief Summary
Upper Tract Urothelial Carcinoma (UTUC), characterized by its anatomical complexity and often aggressive clinical behavior, presents substantial difficulties in accurate diagnosis and reliable prognos...
Detailed Description
Upper Tract Urothelial Carcinoma (UTUC) can be challenging to accurately diagnose and its course difficult to predict, as the disease manifestations and aggressiveness can differ significantly among i...
Eligibility Criteria
Inclusion
- Patients with Upper Tract Urothelial Carcinoma (UTUC) who had radical nephroureterectomy (RNU).
- Contrast-enhanced CT scan (e.g., CT urography) less than two weeks before surgery.
- Complete CT image data and clinical data.
- Complete whole slide image data.
Exclusion
- Patients with a postoperative diagnosis of non-urothelial carcinoma.
- Poor quality of CT images and/or whole slide image data.
- Incomplete clinical and follow-up data.
Key Trial Info
Start Date :
January 1 2025
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
November 1 2025
Estimated Enrollment :
1000 Patients enrolled
Trial Details
Trial ID
NCT06993779
Start Date
January 1 2025
End Date
November 1 2025
Last Update
May 29 2025
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
Department of Urology, The First Affiliated Hospital of Chongqing Medical University, chongqing, chongqing 400016 Recruiting
Chongqing, China, 400016