Clinical trial · Observational
Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Upper Tract Urothelial Carcinoma
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Upper Tract Urothelial Carcinoma (UTUC), characterized by its anatomical complexity and often aggressive clinical behavior, presents substantial difficulties in accurate diagnosis and reliable prognostication. The stratification of postoperative survival utilizing radiomics features derived from imaging and characteristics from whole slide images could prove instrumental in guiding therapeutic decisions to enhance patient outcomes. In this research, our objective is to construct a deep learning-based prognostic-stratification system designed for the automated prediction of overall and cancer-specific survival in individuals diagnosed with UTUC.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| UTUC | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Deep learning system for prognostication prediction in upper tract urothelial carcinoma | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- AI-UTUC
- description
- Patients with Upper Tract Urothelial Carcinoma (UTUC) who underwent radical nephroureterectomy (RNU)
- interventionNames
- Other: Deep learning system for prognostication prediction in upper tract urothelial carcinoma
Primary outcomes (1)
- measure
- Overall survival
- timeFrame
- up to 10 years
- description
- the time from the date of surgery to death from any cause or the date of last contact (censored observation) at the date of data cut-off.
Secondary outcomes (1)
- measure
- Recurrence free survival
- timeFrame
- up to 10 years
- description
- the time from the date of surgery to the date of first documented disease recurrence. Patients without recurrence at the time of analysis will be censored
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * 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 Criteria: * 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.
References
Publications (0)
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