- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04399590
Comparing the Number of False Activations Between Two Artificial Intelligence CADe Systems: the NOISE Study (NOISE)
September 14, 2021 updated by: Istituto Clinico Humanitas
One fourth of colorectal neoplasias are missed during screening colonoscopies-these can develop into colorectal cancer (CRC).
In the last couple of years, Artificial Intelligence Deep learning systems were introduced in the endoscopic setting to allow for real-time computer-aided detection/characterization (CAD) of polyps with high- accuracy.
Few CADe (detection) and CADx (diagnosis, characterization) have been therefore proposed with this purpose.
Because CAD systems are based on deep learning where the computer directly learns polyp recognition from supervised data without any human-control on the final algorithm, their outcome incorporates some unpredictability in the clinical setting that must be cautiously interpreted after its application.
This means that the endoscopist may be presented with FP images that he would have never been selected in the first place as suspicion areas.
These FPs may hamper the efficiency of CADe-colonoscopy.
Additional time may be required to discriminate between an actual FP and a possible false negative result.
An excess of FPs may reduce the motivation of the endoscopist for CADe, leading to its underuse in clinical practice.
Although the indications of a CADe must always be interpreted by physician, FP may result in unnecessary polypectomy with related adverse events when used without appropriate training.
Yet, there is a lack of information among quantity and quality of False Positive signals provided by the systems.
From a post-hoc analysis of a Randomized Clinical Trial, in which we extracted and analysed a video library of CADe-colonoscopy (GI Genius) performed in our institution Humanitas Clinical and Research Hospital IRCCS we aimed that False positives by CADe are primarily due to artefacts from the bowel wall.
Despite a high frequency, FPs from this CADe system resulted in a negligible 1% increase of the total withdrawal time as most of them were immediately discarded by the endoscopists.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Actual)
40
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Milano
-
Rozzano, Milano, Italy, 20089
- Endoscopy Unit, Humanitas Research Hospital
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (ADULT, OLDER_ADULT)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
All consecutive patients scheduled for diagnostic colonoscopy.
Description
Inclusion Criteria:
- Age over 18 years
- Ability to provide and to give informed consent
- Boston Bowel Preparation Score > 6 (>2 each segment)
Exclusion Criteria:
- Boston Bowel Preparation Score < 6 (<2 each segment)
- Patients who had chronic inflammatory bowel diseases (such as Chron or Ulcerative Colitis)
- Inability to obtain written informed consent
- Patient unwilling to participate to the study
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
To evaluate the cause of False Positives (FPs) signals, their frequenTocy and time rate, on two different CAD systems: CADe (GI Genius, Medtronic) and CADe/CADx (CAD EYE, Fujifilm) and report a comparison among the two
Time Frame: 6 Months
|
6 Months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (ACTUAL)
September 1, 2020
Primary Completion (ACTUAL)
March 31, 2021
Study Completion (ACTUAL)
March 31, 2021
Study Registration Dates
First Submitted
May 19, 2020
First Submitted That Met QC Criteria
May 21, 2020
First Posted (ACTUAL)
May 22, 2020
Study Record Updates
Last Update Posted (ACTUAL)
September 16, 2021
Last Update Submitted That Met QC Criteria
September 14, 2021
Last Verified
September 1, 2021
More Information
Terms related to this study
Other Study ID Numbers
- 2598
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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