Miss Rate of Gastric Neoplasms Under Computer-aided Endoscopy
Computer-aided Gastric Lesion Localization and Miss Rate of Gastric Neoplasms: a Tandem, Randomized Controlled Study
1 other identifier
interventional
1,000
1 country
1
Brief Summary
This prospective randomized trial compares AI-assisted upper gastrointestinal endoscopy with high definition upper gastrointestinal endoscopy in term of missed rate of gastric neoplasm. The investigators hypothesize the miss rate of high definition upper gastrointestinal endoscopy is higher than AI-assisted upper gastrointestinal endoscopy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Nov 2024
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
June 25, 2024
CompletedFirst Posted
Study publicly available on registry
July 11, 2024
CompletedStudy Start
First participant enrolled
November 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2026
November 20, 2025
November 1, 2025
1.8 years
June 25, 2024
November 19, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Gastric neoplasia miss rate
the number of newly detected gastric neoplasia in the second examination divided by the total number of gastric neoplasia detected in both examinations for each patient.
during the intervention
Secondary Outcomes (9)
Gastric neoplasia detection rate
during the intervention
The biopsy rate
during the intervention
The number of gastric neoplasms per patient
during the intervention
The miss rate of patients with gastric neoplasms
during the intervention
The positive predictive value (PPV) for gastric neoplasms
during the intervention
- +4 more secondary outcomes
Study Arms (2)
AI-HD group
EXPERIMENTALAI-assisted upper gastrointestinal endoscopy follow immediately by high definition (HD) upper gastrointestinal endoscopy
HD-AI group
ACTIVE COMPARATORHD upper gastrointestinal endoscopy follow immediately by AI-assisted upper gastrointestinal endoscopy
Interventions
AI-assisted upper gastrointestinal endoscopy
Eligibility Criteria
You may qualify if:
- Patients aged 40 or older
- Scheduled for elective upper endoscopy
You may not qualify if:
- Pregnant women,
- Inability to provide written informed consent
- Prior gastrectomy, and
- Patients deemed unsuitable or high-risk for endoscopy with severe comorbid illnesses
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Queen Mary Hospital, the University of Hong Kong
Hong Kong, Hong Kong
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Thomas Ka-Luen Lui
The University of Hong Kong
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical Associate Professor
Study Record Dates
First Submitted
June 25, 2024
First Posted
July 11, 2024
Study Start
November 1, 2024
Primary Completion (Estimated)
September 1, 2026
Study Completion (Estimated)
December 31, 2026
Last Updated
November 20, 2025
Record last verified: 2025-11
Data Sharing
- IPD Sharing
- Will not share