An Artificial Intelligence System for ROSE of EUS-FNA Sample: a Prospective, Multicenter, Diagnostic Study.
NCT06718725 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 236
Last updated 2024-12-05
Summary
This is an observational study with a prospective, multicenter, disgnostic design. An artificial intelligence system named ROSE-AI system was developed using cytopathological slide images taken by microscope camera or smartphone of pancreas, bile duct, liver and lymph node, collected retrospectively from patients who underwent EUS-FNA and ROSE, and the performance of ROSE-AI system was validated in the datasets collected prospectively.This study aims to assist endoscopists in conducting rapid on-site cytopathology evaluations during EUS-FNA without the presence of cytopathologists. In addition, the diagnostic field was compared between the cytopathologists and ROSE-AI system, endoscopists with or without ROSE-AI system.
Conditions
- The Malignant Lesions and Non-malignant Lesions of Pancreas, Bile Duct, Liver and Lymph Node
Interventions
- DIAGNOSTIC_TEST
-
ROSE-AI system
The cytopathological slide images of the patients' ROSE samples will be identified by the ROSE-AI system.
Sponsors & Collaborators
-
Taian City Central Hospital
collaborator OTHER -
Qilu Hospital of Shandong University (Qingdao)
collaborator OTHER -
Shandong Provincial Hospital
collaborator OTHER_GOV -
Liaocheng People's Hospital
collaborator OTHER -
The Affiliated Hospital of Qingdao University
collaborator OTHER -
Binzhou People's Hospital
collaborator OTHER -
Binzhou Medical University
collaborator OTHER -
960th Hospital of PLA
collaborator UNKNOWN -
Yidu Central Hospital of Weifang
collaborator UNKNOWN -
Qilu Hospital of Shandong University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2024-09-01
- Primary Completion
- 2026-04-30
- Completion
- 2026-04-30
Countries
- China
Study Locations
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