CALPER3: Artificial Intelligence and Bowel Cleansing Quality

Sponsor
University of La Laguna (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05871814
Collaborator
(none)
652
2
4.5

Study Details

Study Description

Brief Summary

The main purpose of the study is to assess if a strategy based on a mobile application linked to a neural network is useful for guiding colon cleansing in a more personalized way is better than the usual care defined as regular oral and written instructions. The secondary aim will be the acceptance of this artificial intelligence device defined as the proportion of patients assigned to the intervention group that actually used the device.

Condition or Disease Intervention/Treatment Phase
  • Device: Colon preparation guided by an artificial intelligence device
N/A

Detailed Description

The patient's perception of colon cleanliness prior to undergoing a colonoscopy has been studied as a predictor of colon cleanliness quality, demonstrating to be a powerful predictor of inadequate cleanliness. A convolutional neural network developed by our group, trained with photographs of rectal effluents at different moments of colon preparation, has achieved high diagnostic accuracy. Based on all this experience, the next step would be to evaluate in a randomized clinical trial whether this neural network integrated into a computer application associated with cleaning recommendations improves the colon cleanliness quality of patients compared to a control group, being the objective of this project Therefore, the main purpose of the study is to assess if a strategy based on a mobile application linked to a neural network is useful for guiding colon cleansing in a more personalized way is better than the usual care defined as regular oral and written instructions. The secondary aim will be the acceptance of this artificial intelligence device defined as the proportion of patients assigned to the intervention group that actually used the device. Consecutive outpatient patients meeting inclusion criteria and none of the exclusion criteria who have been requested to undergo colonoscopy will be included in the study and randomized to mobile artificial intelligence application or control group The intervention group will receive a response from the AI system in order to determine the quality of colon cleansing: adequate preparation or inadequate preparation. In addition, the system will issue specific recommendations based on the quality of cleansing. Patients assigned to the control group will undergo colonoscopy preparation according to standard recommendations.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
652 participants
Allocation:
Randomized
Intervention Model:
Parallel Assignment
Masking:
Single (Investigator)
Primary Purpose:
Diagnostic
Official Title:
Strategy for Decreasing Inadequate Bowel Cleansing in Colonoscopy Based on an Artificial Intelligence System: A Randomized and Controlled Study
Anticipated Study Start Date :
Jun 1, 2023
Anticipated Primary Completion Date :
Sep 30, 2023
Anticipated Study Completion Date :
Oct 15, 2023

Arms and Interventions

Arm Intervention/Treatment
Experimental: Colon preparation guided by an artificial intelligence device

Regular oral and written information will be provided to this group. In addition, participants will take a picture of the last rectal effluent with the smart phone that have to upload to a server. A convolutional neural network will assess whether the bowel preparation is correct or not (clean or not). The system will issue specific recommendations based on the quality of cleansing.

Device: Colon preparation guided by an artificial intelligence device
Regular oral and written information will be provided to this group. In addition, participants will take a picture of the last rectal effluent with the smart phone that have to upload to a server. A convolutional neural network will assess whether the bowel preparation is correct or not (clean or not). The system will issue specific recommendations based on the quality of cleansing

Active Comparator: Control group

Regular oral and written information will be provided to this group

Device: Colon preparation guided by an artificial intelligence device
Regular oral and written information will be provided to this group. In addition, participants will take a picture of the last rectal effluent with the smart phone that have to upload to a server. A convolutional neural network will assess whether the bowel preparation is correct or not (clean or not). The system will issue specific recommendations based on the quality of cleansing

Outcome Measures

Primary Outcome Measures

  1. Quality of bowel cleansing assessed by the Boston Bowel Preparation Scale [3 months]

    The Boston Bowel Preparation Scale assesses the quality of bowel cleansing in the three segments of the colon (proximal, transverse, and distal) on a scale of 0 (no preparation) to 3 points (excellent preparation), with a maximum score of 9 points.

Secondary Outcome Measures

  1. Participation rate [3 months]

    Proportion of participants assigned to the intervention group who used the device. It will be assessed by self-reported information from the patients and by the presence of a picture in a server for the storage of images.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • Age ≥ 18 years.

  • Patients referred for outpatient colonoscopy

  • Sign informed consent

Exclusion Criteria:
  • Incomplete colonoscopy (except for poor bowel preparation)

  • Contraindication for colonoscopy

  • Allergies.

  • Refusal to participate in the study or impairment to sign the informed consent.

  • Colectomy (more than 1 segment)

  • Dementia with difficulty in the intake of the preparation.

  • Inability to use the smartphone application

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • University of La Laguna

Investigators

  • Principal Investigator: Antonio Z Gimeno García, MD, PhD, Hospital Universitario de Canarias

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Manuel Hernandez-Guerra, MD, Medical Doctor, University of La Laguna
ClinicalTrials.gov Identifier:
NCT05871814
Other Study ID Numbers:
  • Bowel Cleansing application
First Posted:
May 23, 2023
Last Update Posted:
May 23, 2023
Last Verified:
May 1, 2023
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No

Study Results

No Results Posted as of May 23, 2023