ClinicalTrials.gg
Status unknownNCT05462743Updated Jul 18, 2022

Artificial Intelligence-assisted Confocal Laser Endomicroscopy Identification of Intestinal Metaplasia Severity

An observational study in Intestinal Metaplasia, Artificial Intelligence and Confocal Laser Endomicroscopy, sponsored by Shandong University. Status unknown at 1 site in China. Open to participants aged 18 Years to 80 Years. Per ClinicalTrials.gov, last updated 2022-07-18.

Sponsored by Shandong University · Observational

The sponsor has not verified this record recently (last verified Jul 2022), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Other
Time perspective
Retrospective
Enrollment
1,000
Ages
18 Years to 80 Years
Sex
All
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Study summary

Currently, the Correa cascade is a widely accepted model of gastric carcinogenesis. Intestinal metaplasia is a high risk factor for gastric cancer. According to Sydney criteria, mild intestinal metaplasia was not associated with gastric cancer, while moderate to severe intestinal metaplasia was strongly associated with the development of gastric cancer. Because intestinal metaplasia is distributed in various forms, the use of white light endoscopy lacks specificity, and the consistency with histopathological diagnosis is poor; Pathological biopsy is still needed to make a diagnosis. At present, national guidelines suggest that OLGIM score should be used to evaluate the risk of gastric cancer, and patients with OLGIM grade III/IV should be monitored by close gastroscopy. However, it requires at least four biopsies, which is clinically infeasible. Confocal laser endomicroscopy allows real-time observation of living tissue, comparable to pathological findings.

Read the detailed description

Gastric cancer is a common malignant tumor in digestive system diseases. Currently, the Correa cascade is a widely accepted model of gastric carcinogenesis. Intestinal metaplasia is a high risk factor for gastric cancer and is considered a precancerous condition of intestinal type gastric cancer. According to Sydney criteria, mild intestinal metaplasia was not associated with gastric cancer, while moderate to severe intestinal metaplasia was strongly associated with the development of gastric cancer. Because intestinal metaplasia is distributed in various forms, the use of white light endoscopy lacks specificity, and the consistency with histopathological diagnosis is poor; Pathological biopsy is still needed to make a diagnosis. At present, our national guidelines suggest that OLGIM score should be used to evaluate the risk of gastric cancer, and patients with OLGIM grade III/IV should be monitored by close gastroscopy. However, it requires at least four biopsies, which is clinically infeasible. Confocal laser endomicroscopy allows real-time observation of living tissue, comparable to pathological findings. Therefore, we established artificial intelligence-assisted confocal laser endoscope technology to determine the high risk of gastric cancer in real time, instead of tissue biopsy.

02

Conditions studied

  • Intestinal Metaplasia
  • Artificial Intelligence
  • Confocal Laser Endomicroscopy
03

In context

Lead sponsor

Shandong University is the lead sponsor of 291 studies on the registry; 59 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Consecutive patients who receive the upper gastrointestinal tract pCLE examination and screened that fulfill the eligibility criteria at Qilu Hospital, Shandong University will be enrolled into the study.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Patients aged 18-80 years undergoing confocal gastroscopy

Exclusion criteria

Exclusion Criteria:

  • Patients with severe cardiac, cerebral, pulmonary or renal dysfunction or psychiatric disorders who cannot participate in gastroscopy
  • Patients with previous surgical procedures on the stomach
  • Patients with contraindications to biopsy
  • Patients who refuse to sign the informed consent form
05

Study design

Observational model
Other
Time perspective
Retrospective
Enrollment
1,000 participants (estimated)
Patient registry
No
Biospecimen retention
None retained

Groups and cohorts

  • group for training the algorithm

    This group of images is used for training the algorithm of the artifical intelligence

  • group for testing the algorithm

    This group of images is used for testing the algorithm of the artifical intelligence

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What researchers measure

Primary outcomes

  1. Accuracy of AI model in assessing degree of intestinal metaplasia

    Pathological biopsy results were used as the gold standard to assess the accuracy of the AI model in diagnosing the degree of intestinal metaplasia at the biopsy site

    Time frame: 2 years

  2. Sensitivity of AI model to assess degree of intestinal metaplasia

    The sensitivity of the AI model to diagnose the degree of intestinal metaplasia at the biopsy site was assessed using pathological biopsy results as the gold standard

    Time frame: 2 years

  3. Specificity of AI model to assess degree of intestinal metaplasia

    Pathological biopsy results were used as the gold standard to assess the specificity of the AI model in diagnosing the degree of intestinal metaplasia at the biopsy site

    Time frame: 2 years

07

Study locations

1 of 1 sites recruiting
  • Qilu Hospital, Shandong University
    Jinan, Shandong 250001, China
    Recruiting
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 18, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05462743
Responsible party
Yanqing Li (Vice President of Qilu Hospital, Shandong University) — Principal investigator
First posted
Jul 18, 2022
Start date
Jul 1, 2022
Primary completion
Dec 30, 2023 (estimated)
Completion
Dec 30, 2023 (estimated)
Last update
Jul 18, 2022

Study contacts

Yanqing Li
Contact
liyanqing@sdu.edu.cn
053182169385
Yanqing Li
principal investigator · Qilu Hospital of Shandong University

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Jul 2022. You cannot join it, but the record below documents what was studied.

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