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

NCT ID: NCT05462743

Last Updated: 2022-07-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-07-01

Study Completion Date

2023-12-30

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Intestinal Metaplasia Artificial Intelligence Confocal Laser Endomicroscopy

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Study Groups

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group for training the algorithm

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

No interventions assigned to this group

group for testing the algorithm

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

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Patients aged 18-80 years undergoing confocal gastroscopy

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
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Shandong University

OTHER

Sponsor Role lead

Responsible Party

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Yanqing Li

Vice President of Qilu Hospital

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Yanqing Li

Role: PRINCIPAL_INVESTIGATOR

Qilu Hospital, Shandong University

Locations

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Qilu Hospital, Shandong University

Jinan, Shandong, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Yanqing Li

Role: CONTACT

053182169385

Facility Contacts

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Yanqing Li, PhD,MD

Role: primary

053182169385

Other Identifiers

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2022-SDU-QILU-122

Identifier Type: -

Identifier Source: org_study_id

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