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Synergistic Effect of G-Eye Balloon for Behind the Folds Visualization With CADe (Discovery System) on Adenoma Detection Rate.

Synergistic Effect of G-Eye Balloon for Behind the Folds Visualization With Artificial Intelligence Assisted Polyp Detection (Discovery System) on Adenoma Detection Rate. 'Discovery III Study'

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05220345
Acronym
DiscoveryIII
Enrollment
196
Registered
2022-02-02
Start date
2022-05-12
Completion date
2024-09-26
Last updated
2025-08-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Adenoma, Artificial Intelligence, Colonoscopy, Colorectal Polyp

Brief summary

Colonoscopy is the gold standard for colorectal screening. The diagnostic accuracy of colonoscopy highly depends on the quality of inspection of the colon during the procedure. To increase detection new polyp detection systems based on artificial intelligence (AI) have been developed. However, these systems still depend on the ability of the endoscopist to adequately visualize the complete colonic mucosa, especially to detect smaller and more subtle lesions, or lesions hidden behind folds in the colon. With this study we want to combine a device to flatten the folds in the colon combined with an artificial intelligence system to further improve the detection rate of lesions during colonoscopy.

Detailed description

Rationale: Colonoscopy is the gold standard for CRC screening. The adenoma detection rate (ADR) is the most important quality parameter for colonoscopy, because of its inverse association with the risk of interval CRC. Yet, the adenoma miss rate (AMR) in conventional colonoscopy is reported in meta-analyses to vary between 22-26%. The diagnostic accuracy of colonoscopy highly depends on the quality of inspection of the colonic mucosa during the procedure. To increase the adenoma detection rate (ADR), new polyp/adenoma detection systems based on artificial intelligence (AI) have been developed, i.e., computer assisted detection (CADe). However, these systems still depend on the ability of the endoscopist to adequately visualize the complete colonic mucosa, especially to detect smaller and more subtle lesions. Therefore, we hypothesize that ADR can further be improved by combining a CADe system, the Discovery system, with a behind the fold (BTF) visualization technique, the G-Eye. Study design: International multicenter prospective interventional cohort, compared with a cohort from the Discovery II study (NL73127.091.20, trial code NL9135). All subjects will be undergoing colonoscopy with a combined BFT and CADe assisted approach. Outcomes will be corrected for confounders using regression modeling. Study population: 194 Adult patients (\>18 years) from 3 hospitals, scheduled for diagnostic, screening (non-iFOBT based), or surveillance colonoscopy. Exclusion criteria: inflammatory bowel disease (IBD), known polyp or tumor upon referral, therapeutic procedure (e.g. endoscopic mucosal resection), prior surgical resection of any portion of the colon, American Society of Anesthesiologists score of ≥3, Inadequately corrected anticoagulation disorders or anticoagulation medication use, inability to provide informed consent. Main study endpoints: The primary objective of the present study is to compare ADR between CADe assisted and a combined BTF/CADe assisted colonoscopy. Secondary objectives include advanced neoplasia rate (including advanced adenomas and/or CRC), polyp detection rate, size and histopathology, mean number of polyps per patient, procedure times, bowel cleaning levels, adverse events, inter-operator variability. Nature and extent of the burden and risks associated with participation, benefit and group relatedness: Eligible patients who are scheduled for surveillance colonoscopy will undergo one BFT and CADe assisted colonoscopy. There will be no burden for participants regarding the colonoscopy procedure. Colonoscopy is a commonly performed procedure, and the overall serious adverse event rate is low with an estimated risk 2.8 per 1000 colonoscopies. The risk of experiencing a (serious) adverse event with G-Eye and Discovery guided colonoscopy is believed to be equivalent to conventional colonoscopy. The benefit for patients is a higher likelihood of lesion detection during colonoscopy.

Interventions

DEVICEcolonoscopy assisted by both balloon-Behind The Folds visualizing and Computer assisted detection (CADe)

All participants will be subjected to a colonoscopy procedure, assisted by both G-eye balloon and the Discovery CADe system. Standard of care regarding the colonoscopy procedure will be applied to all study subjects. Any lesions detected during the procedure will be removed directly

Sponsors

PENTAX Europe GmbH
CollaboratorINDUSTRY
Radboud University Medical Center
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Intervention model description

International multicenter prospective interventional cohort, compared with a cohort from the Discovery II study (NL73127.091.20, trial code NL9135).

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Adult patients (\>18 years) * Referred and scheduled for diagnostic, screening (non-iFOBT based), or surveillance colonoscopy.

Exclusion criteria

* Inflammatory bowel disease (IBD) * Known polyp or tumor upon referral * Therapeutic procedure (e.g., endoscopic mucosal resection) * Prior surgical resection of any portion of the colon * American Society of Anesthesiologists score of ≥3 * Inadequately corrected anticoagulation disorder or anticoagulation medication use * inability to provide informed consent.

Design outcomes

Primary

MeasureTime frameDescription
Adenoma Detection Rate (ADR)30 days after procedureCalculated as the number of patients in whom at least one adenoma is detected during the colonoscopy procedure, divided by the total number of patients that underwent the colonoscopy procedure.

Secondary

MeasureTime frameDescription
Polyp Detection Rate30 days after procedurecalculated as the number of patients in whom at least one polyp is detected during the colonoscopy procedure, divided by the total number of patients that underwent the colonoscopy procedure
Sessile detection Rate30 days after procedurecalculated as the number of patients in whom at least one SSL is detected during the colonoscopy procedure, divided by the total number of patients that underwent the colonoscopy procedure
Indication specific ADR,30 days after procedureADR specific for screening, diagnostic, or surveillance
Mean number of adenomas detected per patient30 days after procedureMean number of adenomas detected per patient
Mean number of polyps detected per patient30 days after procedureMean number of polyps detected per patient
Number of sessile serrated lesions30 days after procedureNumber of sessile serrated lesions
Number of advanced adenomas (adenomas ≥ 10 mm and/or with a villous component and/or with HGD30 days after procedureNumber of advanced adenomas (adenomas ≥ 10 mm and/or with a villous component and/or with HGD
Size of the lesion subdivided in categories 0-5 mm, 6-10 mm, 10-20 mm, >20 mmDuring procedureSize of the lesion subdivided in categories 0-5 mm, 6-10 mm, 10-20 mm, \>20 mm
Location of the lesion: cecum, ascending colon, transverse colon, descending colon, sigmoid, rectum;During procedureLocation of the lesion: cecum, ascending colon, transverse colon, descending colon, sigmoid, rectum;
Advanced adenoma detection rate (AADR).30 days after procedurecalculated as the number of patients in whom at least one advanced adenoma is detected during the colonoscopy procedure, divided by the total number of patients that underwent the colonoscopy procedure
Histopathological characteristics of the lesion according to the Vienna classification30 days after procedureHistopathological characteristics of the lesion according to the Vienna classification
ADR of the first 20% of patients that have undergone colonoscopy by each endoscopist will be compared with the final 20% of patients in each arm to identify any changes in ADR throughout the trialAt end of studyADR of the first 20% of patients that have undergone colonoscopy by each endoscopist will be compared with the final 20% of patients in each arm to identify any changes in ADR throughout the trial
Bowel cleansingDuring procedureUsing the Boston Bowel Prep Scale
Cecal intubation rate (CIR)During procedureCecal intubation rate (CIR)
Procedure times with both techniques (i.e., total procedure time, mean polypectomy time and withdrawal time)During procedureProcedure times with both techniques (i.e., total procedure time, mean polypectomy time and withdrawal time)
Severe) adverse events (S)AEs up to 30 days post-procedure30 days after procedureSAEs will be subcategorized into colonoscopy related, cardiac (cardiac ischemia, heart failure, arrhythmia, other) pulmonary (exacerbation COPD, infectious, other), neurological (stroke, cerebrovascular accident, bleeding, other), and other (surgical interventions etc.)
Gloucester Comfort Scale score and analgesia useDuring procedureGloucester Comfort Scale score and analgesia use
Post-colonoscopy surveillance intervals when applying European and US surveillance guidelines30 days after procedurePost-colonoscopy surveillance intervals when applying European and US surveillance guidelines
Morphological characteristics of the lesion using the Paris classification (Ip, Is, IIa, IIb, IIc, III)During procedureMorphological characteristics of the lesion using the Paris classification (Ip, Is, IIa, IIb, IIc, III)

Countries

Netherlands

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026