Predicting gastric cancer risk in patients with intestinal metaplasia and atrophic gastritis
Official title: Prediction of Gastric Cancer in Intestinal Metaplasia and Atrophic Gastritis - Application of Artificial Intelligence in Histology and Clinical Data
Run by Chinese University of Hong Kong · NCT04840056 · Data updated 2026-11-12
This study is trying to find out which factors can help predict the risk of gastric cancer in patients who have intestinal metaplasia and atrophic gastritis.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 1300 (estimated) |
| Sponsor | Chinese University of Hong Kong Academic / other |
| Locations | 1 site (Shatin, New Territories) |
| Status | Recruiting |
| Started | April 15, 2021 |
| Main results expected | December 1, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | September 22, 2026 |
| Trial ID | NCT04840056 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 and older with a histological diagnosis of atrophic gastritis or intestinal metaplasia.
✕Probably not a fit
Patients without a histological diagnosis of atrophic gastritis or intestinal metaplasia may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to identify clinical and histological factors that contribute to the development of gastric cancer in patients diagnosed with intestinal metaplasia (IM) and atrophic gastritis (AG). It employs a two-part retrospective approach, utilizing clinical data and pathology analysis to develop a machine learning algorithm for predicting future gastric cancer risks. The study will analyze data collected from a cohort of patients within the New Territories East Cluster over a 20-year period, using advanced imaging techniques for histological evaluation.
Why it matters
Potential benefit: If successful, this study could enable early identification and risk stratification of patients at high risk for gastric cancer, leading to improved monitoring and treatment strategies.
How similar studies have gone: Other studies utilizing machine learning for cancer prediction have shown promising results, indicating potential success for this novel approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults \>= 18 years of age * Histologically proven atrophic gastritis or intestinal metaplasia (at antrum and/or body and/or angular of stomach) Exclusion Criteria: \- none
Where it's running
-
Prince of Wales Hospital
Shatin, New Territories, Hong Kong Recruiting
Study contacts
- Study coordinator: Felix Sia
- Email: felix.sia@cuhk.edu.hk
- Phone: +85226370428
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.