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NCT07092397

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

Completed Last updated 29 July 2025
What this trial tests

trial in Gallbladder Cancer in 266 participants. Completed in 30 September 2024.

Timeline
5 April 2022
Primary endpoint
30 September 2024
30 September 2024

Quick facts

Lead sponsorSamsung Medical Center
StatusCompleted
Study typeOBSERVATIONAL
Enrollment266
Start date5 April 2022
Primary completion30 September 2024
Estimated completion30 September 2024
Sites1 location across South Korea

Conditions studied

Sponsor

Samsung Medical Center

Who can join

Eligibility, any sex, with Gallbladder Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for Gallbladder Cancer

Currently open trials in the same condition.

Other Samsung Medical Center trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07092397.

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