Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using pCLE With AI
NCT ID: NCT04136236
Last Updated: 2024-11-19
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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COMPLETED
57 participants
OBSERVATIONAL
2019-08-01
2023-01-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
OTHER
Study Groups
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esophageal mucosal lesions observed by pCLE
pCLE is used to distinguish the suspected lesions detected by white light endoscopy or IEE.
The diagnosis of Artificial Intelligence and endoscopist
Suspected esophageal mucosal lesion is observed using pCLE, endoscopist and AI will make a diagnosis independently. In addition, the endoscopist can not see the diagnosis of AI. After a washout period, nonexpert endoscopists take the second assessment with AI assistance.
Interventions
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The diagnosis of Artificial Intelligence and endoscopist
Suspected esophageal mucosal lesion is observed using pCLE, endoscopist and AI will make a diagnosis independently. In addition, the endoscopist can not see the diagnosis of AI. After a washout period, nonexpert endoscopists take the second assessment with AI assistance.
Eligibility Criteria
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Inclusion Criteria
* agree to give written informed consent;
Exclusion Criteria
* having no suspicious lesion of ESN found by WLE and IEE
* known allergy to fluorescein sodium;
* having coagulopathy or impaired renal function;
* being pregnant or breastfeeding.
18 Years
80 Years
ALL
No
Sponsors
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Shandong University
OTHER
Responsible Party
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Yanqing Li
Vice president of QiLu Hospital
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
Countries
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Other Identifiers
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2019SDU-QILU-66
Identifier Type: -
Identifier Source: org_study_id
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