Artificial Intelligence for Leaving in Situ Colorectal Polyps.

NCT ID: NCT05500248

Last Updated: 2025-04-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

919 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-10-01

Study Completion Date

2024-08-30

Brief Summary

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This two parallel-arms, randomized, multicenter trial is aimed at investigating safety and effectiveness of a Computer-Aided-Diagnosis (CADx)-assisted leave-in-situ strategy (Leave-In-Situ Arm) as opposed to a resect-all strategy (Standard Arm) as implemented by endoscopists in a real-world setting.

With this study it will be possible to understand the impact of CADx in patient treatment and management both in terms of clinical outcome and costs.

Detailed Description

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Real-time diminutive (≤5 mm) colonic polyp characterization by virtual blue-light (i.e. Narrow Banding Imaging \[NBI\], Blue Light Imaging \[BLI\], etc.) has been identified as a key goal for novel endoscopic advanced imaging techniques. The real-time prediction of polyps histology, especially of those located in the rectosigmoid, is clinically relevant as diminutive polyps represent the majority of polyps detected during colonoscopy and have a very low risk of harboring advanced histology (0.3%) and a negligible risk of invasive carcinoma (0%-0.08%).

Thus, as recommended by current guidelines, an optical diagnosis would allow diminutive polyps to be resected and discarded without pathological assessment (i.e. resect-and-discard strategy) or left in place without resection in the case of diminutive rectosigmoid hyperplastic polyps (i.e. leave-in-situ strategy), with an enormous cost-saving potential. In addition, the current policy for managing such hyperplastic-appearing polyps is poorly defined and variable from endoscopist to endoscopist. For instance, the European Society of Gastrointestinal Endoscopy (ESGE) recommends to leave-in-situ only diminutive polyps characterized as hyperplastic with high-confidence. However, it is currently unknown how many endoscopists actually do switch to the blue-light advanced imaging (when available) that is required for a high-confident diagnosis when assessing ≤5 mm hyperplastic-appearing lesions. More importantly, the Leave-in-situ strategy, poorly defined in a pre-AI era, has never been clinically validated, leaving uncertainty on the estimate of the possible false negatives generated by an inaccurate diagnosis6.

The availability of Computer-Aided-Diagnosis (CADx) tools, which may help endoscopists distinguish neoplastic from non-neoplastic polyps making the characterization process quicker and more objective, would be highly desirable and captivating.

A new system for CADx during white light endoscopy has been developed and integrated alongside a previously available Computer-Aided-Detection (CADe) tool (GI-Genius, Medtronic), making real-time characterization straightforward after polyp detection, and has been recently validated in a real time clinical trial, showing how this system exceeds the American Society of Gastrointestinal Endoscopy (ASGE) Criteria for clinical application of cost saving strategies (i.e. leave in situ and resect and discard), and equals the performance of expert endoscopists in optical diagnosis. However, this was a first study, monocentric and without randomization, with a small, albeit adequately powered, sample size. The need for larger trials is thus urgent to speed up the possible implementation of CADx in clinical practice.

Aim of this study is to clinically validate the new CADx tool for the implementation of a leave-in-situ strategy in a multicenter, randomized controlled trial.

Conditions

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Colonic Neoplasms

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

PREVENTION

Blinding Strategy

DOUBLE

Participants Outcome Assessors

Study Groups

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Leave-In-Situ Arm

standard, high-definition colonoscopy with the use of Medtronic GI Genius module including both CADe and CADx. Polyps will be left in situ if diminutive (≤5 mm) in size, located in the rectum or sigma and optically diagnosed by the endoscopist using the system to be hyperplastic with high confidence, otherwise resected and sent to pathology.

Group Type EXPERIMENTAL

Leave In Situ

Intervention Type BEHAVIORAL

Polyps will be left in situ if diminutive (≤5 mm) in size, located in the rectum or sigma and optically diagnosed by the endoscopist using the system to be hyperplastic with high confidence, otherwise resected and sent to pathology.

This behaviour is recommended by guidelines if the endoscopist is expert in optical diagnosis. In this case the endoscopists will be experts and they will also be helped by the CADx system that has shown to exceed the thresholds requested for use in clinical practice in previous trials.

Standard arm

standard, high-definition colonoscopy with the use of Medtronic GI Genius module including both CADe and CADx. All detected polyps regardless of size and optical diagnosis will be resected and sent to pathology.

Group Type ACTIVE_COMPARATOR

Standard

Intervention Type BEHAVIORAL

All identified polyps will be removed and sent to pathology.

Interventions

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Leave In Situ

Polyps will be left in situ if diminutive (≤5 mm) in size, located in the rectum or sigma and optically diagnosed by the endoscopist using the system to be hyperplastic with high confidence, otherwise resected and sent to pathology.

This behaviour is recommended by guidelines if the endoscopist is expert in optical diagnosis. In this case the endoscopists will be experts and they will also be helped by the CADx system that has shown to exceed the thresholds requested for use in clinical practice in previous trials.

Intervention Type BEHAVIORAL

Standard

All identified polyps will be removed and sent to pathology.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

\- All \>18 years-old patients undergoing elective colonoscopy

Exclusion Criteria

* patients with personal history of colorectal cancer (CRC), or Inflammatory Bowel Disease (IBD).
* Patients affected with Lynch syndrome or Familiar Adenomatous Polyposis.
* patients with inadequate bowel preparation (defined as Boston Bowel Preparation Scale \<2 in any colonic segment).
* patients with previous colonic resection.
* patients on antithrombotic therapy, precluding polyp resection.
* patients who were not able or refused to give informed written consent.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of Roma La Sapienza

OTHER

Sponsor Role lead

Responsible Party

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Giulio Antonelli

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Ospedale Dei Castelli

Ariccia, Rome, Italy

Site Status

Countries

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Italy

References

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Antonelli G, Desideri F, Scarozza P, Andrisani G, Zerboni G, Furnari M, Bevilacqua N, Cossignani M, Di Fonzo M, Cereatti F, Navazzotti G, Antenucci C, Di Matteo FM, Bevivino G, Caruso A, Spadaccini M, Schiavone S, Grossi C, Rizkala T, Comberlato M, Bretthauer M, Sharma P, Von Renteln D, Rex DK, Correale L, Repici A, Mori Y, Iacopini F, Hassan C. Safety of artificial intelligence-assisted optical diagnosis for leaving colorectal polyps in situ during colonoscopy (PRACTICE): a non-inferiority, randomised controlled trial. Lancet Gastroenterol Hepatol. 2025 Oct;10(10):915-923. doi: 10.1016/S2468-1253(25)00140-2.

Reference Type DERIVED
PMID: 40914178 (View on PubMed)

Other Identifiers

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PRACTICE

Identifier Type: -

Identifier Source: org_study_id

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