Colonic Polyp
Conditions
Brief summary
Computer aided detection (CADe) algorithms have been developed to overcome human errors and assist endoscopists in detecting more polyps during colonoscopy. The aim of this study was to investigate the accuracy of the novel Pentax Discovery CADe system (Discovery-AI) against pre-recorded videos of colon polyps of various size, shape and pathology while using videos of normal colon segments as controls from two different institutes.
Detailed description
Details regarding polyp size and location, morphology including Paris classification, optical assessment, and bowel preparation were prospectively collected and recorded in the online Redcap software. Final results of polyp histology were also collected. The video library was then independently reviewed for quality assessment by 3 experienced gastroenterologists. Videos that passed the initial quality assessment were then independently evaluated using the Discovery-AI system. Aim of the study was to evaluate overall performance of Discovery-AI system for polyps of various size, morphology and pathology utilizing a prospectively developed video library.
Interventions
OTHERNot applicable as standard of care Colonoscopy
Not applicable since not an intervention
Sponsors
The University of Texas Health Science Center, Houston
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Patients scheduled for a regular or screening colonoscopy at the institution as standard of care. * Over 18 years of age
Exclusion criteria
* None if they qualify based on inclusion criteria * Pregnant patients * Inmate or prisoners * Unable to provide informed consent
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| To investigate the accuracy of the novel Pentax Discovery CADe system (Discovery-AI) against pre-recorded videos of colon polyps of various size, shape and pathology while using videos of normal colon segments as controls | 3 years | The video library was developed during screening and surveillance colonoscopy and included details on polyp size, location, morphology, overall Boston bowel preparation score (BBPS) and segmental BBPS. Each video segments ranged from 35 seconds to 75 seconds. Before inclusion, each video was evaluated by 3 expert endoscopists individually to assess overall quality of the video. Quality of video was assessed based on pixel resolution and aspect ratio, bowel preparation, overall speed of withdrawal, colon distension, and adequate mucosal exposure. If the video was deemed of adequate quality by at least 2 endoscopists, it was included in the study cohort. |
Outcome results
None listed