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

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07092397

Enrollment

266

Registered

2025-07-29

Start date

2022-04-05

Completion date

2024-09-30

Last updated

2025-07-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gallbladder Cancer

Keywords

gallbladder cancer

Brief 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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Healthy volunteers

Inclusion criteria

* Patients who underwent curative surgery for gallbladder cancer.

Exclusion criteria

* Patients who did not achieve R0 resection. * Patients with metastatic disease.

Design outcomes

Primary

Measure	Time frame
Overall survival	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

Measure	Time frame
Disease-free survival	From date of surgery to the date of disease recurrence, assessed up to 165 months

Countries

South Korea

Outcome results