Clinical trial · Observational
Artificial Intelligence-based Tumor Microenvironment Analysis for Prognosis Prediction in Gallbladder Cancer
- 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)
This retrospective study aims to investigate the prognostic significance of artificial intelligence (AI)-powered analysis of tumor-infiltrating lymphocytes (TILs) and the tumor microenvironment (TME) in patients with resected gallbladder cancer. Using hematoxylin and eosin (H\&E)-stained slides, the study quantifies spatial TME features, including TIL density, tertiary lymphoid structures, and fibroblast density, to identify potential TME-related risk factors associated with survival.
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 |
|---|---|---|---|
| Gallbladder Cancer | Malignant Gallbladder Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Overall survival
- timeFrame
- From date of surgery (or diagnosis) to the date of death from any cause or the last follow-up, assessed up to 165 months
Secondary outcomes (1)
- measure
- Disease-free survival
- timeFrame
- From date of surgery to the date of disease recurrence, assessed up to 165 months
Eligibility
Eligibility (as posted)
- Sex
- All
Show eligibility criteria text
Inclusion Criteria: * Patients who underwent curative surgery for gallbladder cancer. Exclusion Criteria: * Patients who did not achieve R0 resection. * Patients with metastatic disease.
References
Publications (0)
Data not yet available