Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma
Application of Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma During Optical Enhancement Magnifying Endoscopy
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Shandong
-
Jinan, Shandong, China, 250012
- Department of Gastroenterology, Qilu Hospital, Shandong University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- high risk patients for esophageal cancer aged 18 years or older;
- Histologically verified early esophageal squamous cell cancer.
Exclusion Criteria:
- patients whose images of esophagus not suitable for the training, validation and testing the computer-assist diagnosis tool.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
AI visible group
the endoscopic novices analyzing the images can see the automatic diagnosis of AI during the process
|
AI presentation means the automatic diagnosis information of AI and AI presentation means it is visible in the group.
|
|
AI invisible group
the endoscopic novice analyzing the images can not see the automatic diagnosis of AI during the process
|
AI presentation means the automatic diagnosis information of AI and no AI presentation means it is invisible in the group.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
the diagnosis efficiency of the AI model
Time Frame: 12 months
|
the sensitivity, specificity and accuracy of the AI model
|
12 months
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Yanqing Li, PHD, Qilu Hospital, Shandong University
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Digestive System Diseases
- Neoplasms by Histologic Type
- Neoplasms
- Neoplasms by Site
- Carcinoma
- Neoplasms, Glandular and Epithelial
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Gastrointestinal Diseases
- Head and Neck Neoplasms
- Esophageal Diseases
- Neoplasms, Squamous Cell
- Esophageal Neoplasms
- Carcinoma, Squamous Cell
- Esophageal Squamous Cell Carcinoma
Other Study ID Numbers
Other Study ID Numbers
- 2018SDU-QILU-2
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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