A Prospective Study to Evaluate the Diagnostic Accuracy of Computer-aided Diagnosis (CADx) System in Real-time Characterization of Colorectal Neoplasia
CADx
1 other identifier
observational
510
0 countries
N/A
Brief Summary
The investigators hypothesize that a newly developed CADx system will have a higher diagnostic accuracy in predicting histopathology of colorectal neoplasia than both expert and junior endoscopists.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Dec 2024
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
June 8, 2022
CompletedFirst Posted
Study publicly available on registry
June 10, 2022
CompletedStudy Start
First participant enrolled
December 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedFebruary 9, 2024
February 1, 2024
1 year
June 8, 2022
February 8, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Diagnostic accuracy
area under receiver operating characteristic curves, AUROC in prediction of final histopathology
During the colonoscopy
Secondary Outcomes (5)
Sensitivity
During the colonoscopy
Specificity
During the colonoscopy
Positive predictive value
During the colonoscopy
Negative predictive value
During the colonoscopy
Diagnostic time
During the colonoscopy
Study Arms (2)
CADx
Histopathology prediction by CADx device
Endoscopist
Real-time histopathology prediction by expert and non-expert endoscopists
Interventions
A novel CADx system for real-time histopathological prediction of colorectal neoplasia, by using non-magnified conventional white-light and image enhanced endoscopy.
Eligibility Criteria
Patient with colorectal neoplasia
You may qualify if:
- They have received colonoscopy for screening, surveillance or symptom investigation;
- They have endoscopic images and videos captured and stored during colonoscopy which are available to be retrieved;
- They have histologically proven colorectal neoplasia.
- Written consent obtained
You may not qualify if:
- Poor quality endoscopic images and videos defined as:
- Incomplete visualization of the colorectal neoplasia due to technical reasons (e.g. out-of-focus, motion-blurred or insufficient illumination);
- Artifacts due to mucus, air bubbles, stool, or blood.
- Active gastrointestinal bleeding;
- Fulminant colitis;
- Obscured view due to poor bowel preparation;
- Artificial staining of lesion due to chromoendoscopy.
- Unable to obtain informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Chinese University of Hong Konglead
- Nanfang Hospital, Southern Medical Universitycollaborator
- University College, Londoncollaborator
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assitant Professor
Study Record Dates
First Submitted
June 8, 2022
First Posted
June 10, 2022
Study Start
December 1, 2024
Primary Completion
December 1, 2025
Study Completion
December 31, 2025
Last Updated
February 9, 2024
Record last verified: 2024-02
Data Sharing
- IPD Sharing
- Will not share