ClinicalTrials.gg
CompletedNCT04441580GENIAL-COUpdated Apr 10, 2025

Assessing the Additional Neoplasia Yield of Computer-aided Colonoscopy in a Screening Setting

An interventional study of CADe colonoscopy using GI Genius device in Colonic Neoplasms, Colonic Adenocarcinoma and Polyps of Colon, sponsored by Fondazione Poliambulanza Istituto Ospedaliero. Completed at 1 site in Italy. Open to participants aged 50 Years to 69 Years. Per ClinicalTrials.gov, last updated 2025-04-10.

Sponsored by Fondazione Poliambulanza Istituto Ospedaliero · Not applicable, Interventional, and Screening

Phase
Not applicable
Study type
Interventional
Enrollment
900
Allocation
Randomized
Ages
50 Years to 69 Years
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-13

Among 135 studies in Colonic Neoplasms with a site in Italy — 41 open to participants now, 56 under way, 8 of them phase 3. Colonic Neoplasms · Italy.

Enrollment
11th of 87
900 · median 222
Started
2020
with 10 others
No phase
29 of 135
8 open now
Registered
61st of 135
by date

Among the 135 studies in Colonic Neoplasms with a site in Italy, this one is the 11th largest by enrollment of the 87 interventional ones that give a count, is one of 11 that started in 2020, is one of 29 with no phase, and was the 61st registered.

Colonic Neoplasms

2,457 studies on the registry are indexed under Colonic Neoplasms; 458 are open to participants now.

Browse Colonic Neoplasms studies →

Open to participants now

41 of the 135 studies in Colonic Neoplasms with a site in Italy are open now. Recruiting first, the newest first:

36 more — sign in →

All 41 open studies →

A study can be open while its sites in Italy have not opened yet or have stopped. Only those recruiting at a site in Italy →

Who these studies take

Of the 326 Colonic Neoplasms studies recruiting now, 203 (62%) set no upper age limit and 71 (22%) stop at 75 or younger; 19 take children under 18; 34 take healthy volunteers.

This study: 50 Years to 69 Years · all sexes · no healthy volunteers.

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02

Study summary

Even if colonoscopy is considered the reference standard for the detection of colonic neoplasia, polyps are still missed. The risk of early post-colonoscopy cancer appeared to be independently predicted by a relatively low polyp/adenoma detection rate. When considering the very high prevalence of advanced neoplasia in the FIT-positive enriched population, the risk of post-colonoscopy interval cancer due to a suboptimal quality of colonoscopy may be substantial. Available evidence justifies therefore the implementation of efforts aimed at improving adenoma detection rate, based on retraining interventions and on the adoption of innovative technologies, designed to enhance the accuracy of the endoscopic examination. Artificial intelligence seems to improve the quality of medical diagnosis and treatment. In the field of gastrointestinal endoscopy, two potential roles of AI in colonoscopy have been examined so far: automated polyp detection (CADe) and automated polyp histology characterization (CADx). CADe can minimize the probability of missing a polyp during colonoscopy, thereby improving the adenoma detection rate (ADR) and potentially decreasing the incidence of interval cancer. GI Genius is the AI software that will be used in the present trial and is intended to be used as an adjunct to colonic endoscopy procedures to help endoscopists to detect in real time mucosal lesions (such as polyps and adenomas, including those with flat (non-polypoid) morphology) during standard screening and surveillance endoscopic mucosal evaluations. It is not intended to replace histopathological sampling as a means of diagnosis.

The objective of this study was to compare the diagnostic yield obtained by using CADe colonoscopy to the yield obtained by the standard colonoscopy (SC).

Read the detailed description

Even if colonoscopy is considered the reference standard for the detection of colonic neoplasia, polyps are still missed. In large administrative cohort or case-control studies, the risk of early post-colonoscopy cancer appeared to be independently predicted by a relatively low polyp/adenoma detection rate. The adenoma detection rate among different endoscopists has been shown to be strictly related with the risk of post-colonoscopy interval cancer. When considering the very high prevalence of advanced neoplasia in the FIT-positive enriched population, the risk of post-colonoscopy interval cancer due to a suboptimal quality of colonoscopy may be substantial. Available evidence justifies therefore the implementation of efforts aimed at improving adenoma detection rate, based on retraining interventions and on the adoption of innovative technologies, designed to enhance the accuracy of the endoscopic examination.Nowadays, Artificial intelligence (AI) is gaining increased attention and investigation, since it seems to improve the quality of medical diagnosis and treatment. In the field of gastrointestinal endoscopy, two potential roles of AI in colonoscopy have been examined so far: automated polyp detection (CADe) and automated polyp histology characterization (CADx). CADe can minimize the probability of missing a polyp during colonoscopy, thereby improving the adenoma detection rate (ADR) and potentially decreasing the incidence of interval cancer. GI Genius is the AI software that will be used in the present trial. The software is developed by Medtronic Inc. (Dublin, Ireland) and is intended to be used as an adjunct to colonic endoscopy procedures to help endoscopists to detect in real time mucosal lesions (such as polyps and adenomas, including those with flat (non-polypoid) morphology) during standard screening and surveillance endoscopic mucosal evaluations. It is not intended to replace histopathological sampling as a means of diagnosis.

The objective of this study was to compare the diagnostic yield obtained by using CADe colonoscopy to the yield obtained by the standard colonoscopy (SC). As the risk of progression is higher for large than for small adenomas the specific contribution of the new technique in reducing the miss rate of large neoplasms represents an important outcome to be assessed in the study. In addition, given the suggested association of a higher miss-rate of serrated and flat lesions with an increased risk of early post-colonoscopy CRC, the benefit of the new technique in reducing the miss rate of these lesions will be assessed.

03

Conditions studied

  • Colonic Neoplasms
  • Colonic Adenocarcinoma
  • Polyps of Colon
  • Rectal Neoplasms
  • Rectal Adenocarcinoma

Keywords

  • artificial intelligence
  • colonoscopy
  • colonic polyps
04

Who can participate

Ages eligible
50 Years to 69 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Patients aged 50 to 69 undergoing colonoscopy examination following a positive fecal immunochemical test (FIT) performed in the context of a regional mass-screening program.

Exclusion criteria

Exclusion Criteria:

  • Patients unwilling or unable to give .
  • Patients reporting use of anti- agents or anticoagulants precluding removal of polyps.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Platelets

Blood cells that help blood clot. Too few raises the risk of bleeding and bruising. A usual adult range is about 150–400 × 10⁹/L (150,000–400,000 per µL); each lab has its own reference range.

05

Study design

Phase
Not applicable
Primary purpose
Screening
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
900 participants (actual)

Study arms

  • Experimental
    Artificial intelligence arm

    Patients undergoing colonoscopy with artificial intelligence.

    Device: CADe colonoscopy using GI Genius device

  • Active comparator
    standard colonoscopy arm

    Patients undergoing colonoscopy with standard colonscopy

    Device: CADe colonoscopy using GI Genius device

Interventions

  • DeviceCADe colonoscopy using GI Genius device

    We wanted to compare the diagnostic yield obtained by using CADe colonoscopy to the yield obtained by the standard colonoscopy (SC) in a FIT-positive screening population.

06

What researchers measure

Primary outcomes

  1. Rate of advanced adenomas

    The percentage of patients with adenomas with high-grade displasia in CADe colonoscopy group will be recorded and compared with the rate of patients with adenomas with high-grade displasia in standard colonoscopy group.

    Time frame: When available the histological report of polyps removed (up to 3 weeks).

  2. Rate of patients detected with 3 or more adenomas.

    The percentage of patients with 3 or more adenomas (serrated adenomas will also be considered in the calculation) in CADe colonoscopy group will be compared with the rate of patients with 3 or more adenomas (including serrated adenomas) in standard colonoscopy group.

    Time frame: When available the histological report of polyps removed (up to 3 weeks).

Secondary outcomes

  1. Overall adenoma and polyp detection rate, flat adenoma and serrated polyps/adenomas.

    The percentage of adenomas, polyps (in general), flat adenoma and serrated polyps/adenoma detected will be recorded and compared between the groups.

    Time frame: When available the histological report of polyps removed (up to 3 weeks).

  2. Size of lesions detected

    The size of lesion detected will be measured in millimiters and compared between the groups.

    Time frame: Immediately after the procedure.

  3. Rate of neoplasia by colonic site

    The percentage of patients with neoplasia of proximal (right colonic segments) or distal (left colonic segments and rectum) site will be assessed and compared between the groups.

    Time frame: Immediately after the procedure.

  4. Post-colonoscopy surveilance

    the time interval, expressed in years, to the next suggested follow-up colonoscopy will be assessed and compared between the groups.

    Time frame: When available the histological report of polyps removed (up to 3 weeks).

  5. Time of cecal intubation.

    The time to reach the cecum will be measured in minutes, recorded and compared between the groups.

    Time frame: Immediately after the procedure.

  6. Withdrawal and total procedure time.

    The time of withdrawal (from cecum to anus) and of the overall colonoscopy (from anus to anus) will be measured in minutes, recorded and compared between the groups.

    Time frame: Immediately after the procedure.

  7. Learning curve.

    The above-mentioned outcomes will be calculated for each endoscopist at 3, 6, 9 and 12 months.

    Time frame: 3, 6, 9 and 12 months.

  8. Patient experience

    Visual Analogue Scale (VAS) (0 minimum to 10 maximum) will be recorded to assess the pain before and after the colonoscopy and results will be compared between the groups.

    Time frame: Immediately after the procedure.

  9. Specific contribution of AI

    Proportion of patients diagnosed with polyps which were detected only by Artificial intelligence

    Time frame: Immediately after the procedure.

07

Study locations

1 site
  • Fondazione Poliambulanza Istituto Ospedaliero
    Brescia, Italy
08

References and documents

Publications

  • Spada C, Cesaro P, Fuccio L, Salvi D, Ferrari C, Barbaro F, Bizzotto A, Butitta F, Gerardi V, Lovera M, Milluzzo SM, Minelli Grazioli L, Olivari N, Pecere S, Piccirelli S, Pugliano CL, Pesatori EV, Quadarella A, Tettoni E, Zani C, Ricciardiello L, Costamagna G. Impact of Artificial Intelligence for Detection of Precancerous Colonic Lesions in a Fecal Immunochemical Blood Test-Based Organized Screening Program in Italy: A Randomized Control Trial. United European Gastroenterol J. 2026 Feb;14(1):e70176. doi: 10.1002/ueg2.70176. PubMed 41563802 ↗
09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from May 2020 to primary completion in Oct 2023, 41 months.

Of 382 non-industry interventional studies with no phase under Colonic Neoplasms, half reached primary completion within 31 months of starting (the median), counting those still running; a quarter within 17 and three quarters within 55. This study's 41 months is above that.

Counting every sponsor, half of 404 studies reached it within 30 months; a quarter within 16 and three quarters within 51.

How these figures are worked out, and which studies are left out of them.

Registered
Jun 9, 2020
First posted
Jun 22, 2020
StartActual
May 4, 2020
Primary completionActual
Oct 31, 2023
CompletionActual
Dec 31, 2023
Last update
Apr 10, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 10, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04441580
Lead sponsor
Fondazione Poliambulanza Istituto Ospedaliero
Responsible party
Sponsor
First posted
Jun 22, 2020
Start date
May 4, 2020
Primary completion
Oct 31, 2023
Completion
Dec 31, 2023
Last update
Apr 10, 2025

Study contacts

Cristiano Spada, MD, PhD
principal investigator · Fondazione Poliambulanza Istituto Ospedaliero

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Dec 2023. You cannot join it, but the record below documents what was studied.

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