The Role of Artificial Intelligence in Endoscopic Diagnosis of Esophagogastric Junctional Adenocarcinoma：A Single Center, Case-control, Diagnostic Study
NCT ID: NCT05819099
Last Updated: 2023-11-18
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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NOT_YET_RECRUITING
200 participants
OBSERVATIONAL
2023-12-31
2026-04-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
RETROSPECTIVE
Study Groups
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Training Set
An Intelligent Endoscopic Diagnosis System Developed and Verified Based on Deep Learning
This study will compare the established AI model with the diagnostic results of endoscopists to evaluate the clinical auxiliary value of the model for endoscopists.
Test Set
An Intelligent Endoscopic Diagnosis System Developed and Verified Based on Deep Learning
This study will compare the established AI model with the diagnostic results of endoscopists to evaluate the clinical auxiliary value of the model for endoscopists.
Verification Set
An Intelligent Endoscopic Diagnosis System Developed and Verified Based on Deep Learning
This study will compare the established AI model with the diagnostic results of endoscopists to evaluate the clinical auxiliary value of the model for endoscopists.
Interventions
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An Intelligent Endoscopic Diagnosis System Developed and Verified Based on Deep Learning
This study will compare the established AI model with the diagnostic results of endoscopists to evaluate the clinical auxiliary value of the model for endoscopists.
Eligibility Criteria
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Inclusion Criteria
* All patients in the case group need to be pathologically confirmed as esophageal gastric junction adenocarcinoma, and a pathologist has conducted a standardized pathological evaluation of the tumor classification of the lesion, including the overall appearance, size, differentiation type, depth of infiltration, presence or absence of lymphatic/vascular invasion, surgical margin status, etc.
* The endoscopic images of the control group patients need to be confirmed by biopsy pathology or at least two experienced endoscopists (with operating experience\>5000 cases) to jointly confirm that they have clear benign manifestations
Exclusion Criteria
* Necessary clinical information cannot be provided during the research process (patient age, gender, lesion characteristics, endoscopic manifestations, endoscopic images, etc.)
* Low quality endoscopic images, such as those severely affected by bleeding, aperture, blurring, defocusing, artifacts, or excessive mucus after biopsy.
18 Years
75 Years
ALL
Yes
Sponsors
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Qilu Hospital of Shandong University
OTHER
Responsible Party
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Central Contacts
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Other Identifiers
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2023SDU-QILU-1
Identifier Type: -
Identifier Source: org_study_id
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