Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using pCLE With Artificial Intelligence
Automatic Evaluation of Inflammation Activity in Ulcerative Colitis Using Probe-based Confocal Laser Endomicroscopy With Artificial Intelligence
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Locations
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Shandong
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Jinan, Shandong, China, 250012
- Recruiting
- Department of Gastroenterology, Qilu Hospital, Shandong University
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Contact:
- Yanqing Li, PhD. MD.
- Phone Number: 053182169385
- Email: liyanqing@sdu.edu.cn
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- aged between 18 and 80; diagnosed as UC
Exclusion Criteria:
- Patients under conditions unsuitable for performing CLE including coagulopathy , impaired renal or hepatic function, pregnancy or breastfeeding, and known allergy to fluorescein sodium; Inability to provide informed consent
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Colon mucosa observed by pCLE
pCLE is used to evaluate the inflammation activity in different parts of the colon mucosa
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When the colon mucosa is observed using pCLE, endoscopist and AI will make a diagnosis independently.
In addition, the endoscopist can not see the diagnosis of AI.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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The diagnosis efficiency of Artificial Intelligence
Time Frame: 3 months
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The primary outcome is to test the diagnostic accuracy, sensitivity, specificity, PPV, NPV of the Artificial Intelligence for evaluation of inflammation activity of UC on pCLE examination.
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3 months
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Contrast the diagnosis efficiency of Artificial Intelligence with endoscopists
Time Frame: 3 months
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The secondary outcome is to compare the diagnosis efficiency (including diagnostic accuracy, sensitivity, specificity, PPV, NPV ) between Artificial Intelligence and endoscopists.
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3 months
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Anticipated)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
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
Other Study ID Numbers
Other Study ID Numbers
- 2019SDU-QILU-10
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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