Combining Tongue and Gastric Cancer Cascade With Artificial Intelligence
NCT ID: NCT05368636
Last Updated: 2022-06-22
Study Results
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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UNKNOWN
4000 participants
OBSERVATIONAL
2022-06-30
2025-06-30
Brief Summary
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Detailed Description
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Secondly, after the patient undergoes gastroscopy, patient gastroscopy reports and pathology reports will be obtained.
Thirdly, the investigator will assess the patient's gastroscopy report for the Correa sequence of gastric cancer with OLGA and OLGIM staging.
Finally, the patient's tongue image, information and gastric cancer cascade response are matched to construct an artificial intelligence model and assess the quality of the model.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Patients all gave their informed consent and signed the informed consent form.
Exclusion Criteria
* Patients with previous surgical procedures on the gastrointestinal tract.
* Patients taking bismuth or other staining drugs.
40 Years
80 Years
ALL
Yes
Sponsors
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Shandong University
OTHER
Responsible Party
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Xiuli Zuo
doctoral supervisor of Qilu Hospital gastroenterology department
Principal Investigators
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Xiuli Zuo, MD,PhD
Role: PRINCIPAL_INVESTIGATOR
Qilu Hospital of Shandong University
Locations
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Qilu hosipital
Jinan, Shandong, China
Countries
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Central Contacts
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Other Identifiers
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2022SDU-QILU-G001
Identifier Type: -
Identifier Source: org_study_id
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