Computer Aided Polyp Detection (C3PO) Trial

The University of Texas Health Science Center, Houston

Overview

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.

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.

Study Type

OBSERVATIONAL

Conditions

Colonic Polyp

Interventions

Not applicable as standard of care ColonoscopyOTHER

Not applicable since not an intervention

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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

Outcomes

Primary Outcomes

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

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.

Time frame: 3 years

Data from ClinicalTrials.gov

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