MedTrace Logo

Artificial Intelligence-based Tumor Microenvironment Analysis for Prognosis Prediction in Gallbladder Cancer

NCT07092397 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 266

Last updated 2025-07-29

No results posted yet for this study

Summary

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

  • Gallbladder Cancer

Sponsors & Collaborators

  • Samsung Medical Center

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-04-05
Primary Completion
2024-09-30
Completion
2024-09-30

Countries

  • South Korea

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07092397 on ClinicalTrials.gov