A Deep Learning-based System for the Bowel Preparation Evaluation Before Colonoscopy
1 other identifier
interventional
249
0 countries
N/A
Brief Summary
Educational interventions provided to patients may improve colon cleansing. The aims of this study were to develop an AI platform which can help patients evaluate the adequacy of bowel cleansing without the aid of caregivers and to investigate whether there was a statistically positive correlation between the Image rating and the BBPS score.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Apr 2023
Shorter than P25 for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 24, 2023
CompletedStudy Start
First participant enrolled
April 2, 2023
CompletedFirst Posted
Study publicly available on registry
April 6, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 2, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
June 10, 2023
CompletedApril 6, 2023
March 1, 2023
2 months
March 24, 2023
March 24, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
BBPS
The Boston Bowel Preparation Scale (BBPS) is a rating scale used to evaluate the adequacy of bowel preparation.
3 months
Secondary Outcomes (1)
ADR
3 months
Study Arms (2)
AI platform
EXPERIMENTALAll the patients in these group were asked to scan a QR code using smartphone to follow the WeChat public account.The WeChat public account can automatically push clear written instructions for bowel preparation. Including dietary advice ，how to consume the laxatives and remind patients to upload pictures.Patients will receive a reminder to upload stool images from the WeChat public account. After uploading their images, the patients received an evaluation result of "pass" or "not pass" . For patients who received results of "not pass," the system displayed tips instructing the patients to drink more water, or walk to improve the bowel preparation quality.
Manual guidance
NO INTERVENTIONA leaflet with clear written instructions on how to consume the laxatives was given to patients in these group.
Interventions
AI platform can help patients evaluate the adequacy of bowel cleansing without the aid of caregivers.
Eligibility Criteria
You may qualify if:
- People sign an "informed consent form"
- People able to use smartphone to follow the WeChat public account
You may not qualify if:
- People who have contraindications for colonoscopy
- People who have known colorectal polyps
- People with history of surgery in any part of the large bowel
- People who refuse to join the study
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Officials
- STUDY CHAIR
Li yanqing, Professor
Qilu Hospital of Shandong University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Clinical Professor
Study Record Dates
First Submitted
March 24, 2023
First Posted
April 6, 2023
Study Start
April 2, 2023
Primary Completion
June 2, 2023
Study Completion
June 10, 2023
Last Updated
April 6, 2023
Record last verified: 2023-03