Using AI to improve endoscopic diagnosis of atrophic gastritis
Artificial Intelligence-assisted White Light Endoscopy to Identify the Kimura-Takemoto Classification of Atrophic Gastritis to Achieve Gastric Cancer Risk Assessment
This study is testing whether a new artificial intelligence tool can help doctors better identify atrophic gastritis during endoscopy to reduce misdiagnoses and improve cancer risk assessments for patients aged 18-80.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1500 (estimated) |
| Ages | 18 Years to 80 Years |
| Sex | All |
| Sponsor | Shandong University Academic / other |
| Locations | 1 site (Shangdong, Shandong) |
| Trial ID | NCT05916014 on ClinicalTrials.gov |
What this trial studies
This study focuses on developing an artificial intelligence model to accurately identify the Kimura-Takemoto classification of atrophic gastritis during white light endoscopy. The aim is to reduce the high false negative rates associated with the diagnosis of chronic atrophic gastritis, which can lead to an increased risk of gastric neoplasia. By standardizing the diagnostic process, the study seeks to enhance the accuracy of risk assessments for gastric cancer. Patients aged 18-80 undergoing endoscopic examination will be included, while those with severe health issues or previous gastric surgeries will be excluded.
Who should consider this trial
Good fit: Ideal candidates are patients aged 18-80 who are scheduled for a white light endoscopy.
Not a fit: Patients with severe health conditions or those who have undergone previous gastric surgeries may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate diagnoses and better risk assessments for patients at risk of gastric cancer.
How similar studies have performed: While the use of AI in endoscopic diagnostics is emerging, this specific application to the Kimura-Takemoto classification is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: Patients aged 18-80 years who undergo the white light endoscope examination Informed consent form provided by the patient. Exclusion Criteria: 1. patients with severe cardiac, cerebral, pulmonary or renal dysfunction or psychiatric; 2. disorders who cannot participate in gastroscopy; 3. Patients with progressive gastric cancer; 4. low quality pictures; 5. patients with previous surgical procedures on the stomach or esophageal; 6. patients who refuse to sign the informed consent form;
Where this trial is running
Shangdong, Shandong
- Department of Gastrology, QiLu Hospital, Shandong University — Shangdong, Shandong, China (Recruiting)
Study contacts
- Study coordinator: yanqing Li, MD, PHD
- Email: liyanqing@sdu.edu.cn
- Phone: 0531182169385
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.