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

NCT ID: NCT07092397

Last Updated: 2025-07-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

266 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-04-05

Study Completion Date

2024-09-30

Brief Summary

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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.

Detailed Description

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Conditions

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Gallbladder Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients who underwent curative surgery for gallbladder cancer.

Exclusion Criteria

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

ALL

Accepts Healthy Volunteers

No

Sponsors

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Samsung Medical Center

OTHER

Sponsor Role lead

Responsible Party

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JooKyung Park

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Samsung Medical Center

Seoul, , South Korea

Site Status

Countries

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South Korea

Other Identifiers

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SMC-2022-03-136

Identifier Type: -

Identifier Source: org_study_id

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