The Implementation of Computer-aided Detection in Training Improves the Quality of Future Colonoscopies
The Implementation of Computer-aided Detection in an Initial Endoscopy Training Improves the Quality Measures of Trainees' Future Colonoscopies
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
-
Kraków, Poland, 31007
- Jagiellonian University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- adult participants who underwent a colonoscopy for various reasons performed by specific endoscopists that were assessed in terms of quality indicators
Exclusion Criteria:
- a history of bowel resection
- confirmed inflammatory bowel disease
- suspicion of polyps or cancer in other imaging tests
- suspicion of familial adenomatous polyposis
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Group A
Colonoscopies performed by endoscopists trained in AI-enhanced environment.
The quality indicators are measured after completing training without AI enhancement.
|
Endoscopists trained in AI-enhanced environment.
Their quality indicators are measured after completing training, without additional AI enhancement.
|
|
Group B
Colonoscopies performed by endoscopists trained conventionally.
The quality indicators are measured after completing training without AI enhancement.
|
Endoscopists trained conventionally
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
withdrawal time
Time Frame: During the colonoscopy examination
|
The time from the cecal intubation to the end of the examination
|
During the colonoscopy examination
|
|
Cecal intubation rate (CIR)
Time Frame: During the colonoscopy examination
|
The percentage of colonoscopies with successful cecal intubations
|
During the colonoscopy examination
|
|
Adenoma Detection Rate (ADR)
Time Frame: During the colonoscopy examination
|
The percentage of colonoscopies when the adenoma was found
|
During the colonoscopy examination
|
|
Advanced adenoma detection rate (AADR)
Time Frame: During the colonoscopy examination
|
The percentage of colonoscopies when the advanced adenoma (>10mm) was found
|
During the colonoscopy examination
|
|
Adenoma per colonoscopy score (APC)
Time Frame: During the colonoscopy examination
|
The average number of adenomas detected in a single colonoscopy
|
During the colonoscopy examination
|
|
Serrated polyp detection rate (SDR)
Time Frame: During the colonoscopy examination
|
The percentage of colonoscopies when the serrated polyp was found
|
During the colonoscopy examination
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Laterally spreading tumor detection rate
Time Frame: During the colonoscopy examination
|
The percentage of colonoscopies when the laterally spreading tumor lesion was found
|
During the colonoscopy examination
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Zofia Orzeszko, MD, Jagiellonian University
- Study Chair: Miroslaw Szura, PhD, Prof., Jagiellonian University
Publications and helpful links
General Publications
- Repici A, Badalamenti M, Maselli R, Correale L, Radaelli F, Rondonotti E, Ferrara E, Spadaccini M, Alkandari A, Fugazza A, Anderloni A, Galtieri PA, Pellegatta G, Carrara S, Di Leo M, Craviotto V, Lamonaca L, Lorenzetti R, Andrealli A, Antonelli G, Wallace M, Sharma P, Rosch T, Hassan C. Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial. Gastroenterology. 2020 Aug;159(2):512-520.e7. doi: 10.1053/j.gastro.2020.04.062. Epub 2020 May 1.
- Corley DA, Jensen CD, Marks AR, Zhao WK, Lee JK, Doubeni CA, Zauber AG, de Boer J, Fireman BH, Schottinger JE, Quinn VP, Ghai NR, Levin TR, Quesenberry CP. Adenoma detection rate and risk of colorectal cancer and death. N Engl J Med. 2014 Apr 3;370(14):1298-306. doi: 10.1056/NEJMoa1309086.
- Kaminski MF, Regula J, Kraszewska E, Polkowski M, Wojciechowska U, Didkowska J, Zwierko M, Rupinski M, Nowacki MP, Butruk E. Quality indicators for colonoscopy and the risk of interval cancer. N Engl J Med. 2010 May 13;362(19):1795-803. doi: 10.1056/NEJMoa0907667.
- Spadaccini M, Iannone A, Maselli R, Badalamenti M, Desai M, Chandrasekar VT, Patel HK, Fugazza A, Pellegatta G, Galtieri PA, Lollo G, Carrara S, Anderloni A, Rex DK, Savevski V, Wallace MB, Bhandari P, Roesch T, Gralnek IM, Sharma P, Hassan C, Repici A. Computer-aided detection versus advanced imaging for detection of colorectal neoplasia: a systematic review and network meta-analysis. Lancet Gastroenterol Hepatol. 2021 Oct;6(10):793-802. doi: 10.1016/S2468-1253(21)00215-6. Epub 2021 Aug 5.
- Barua I, Vinsard DG, Jodal HC, Loberg M, Kalager M, Holme O, Misawa M, Bretthauer M, Mori Y. Artificial intelligence for polyp detection during colonoscopy: a systematic review and meta-analysis. Endoscopy. 2021 Mar;53(3):277-284. doi: 10.1055/a-1201-7165. Epub 2020 Sep 29.
- Wang P, Liu P, Glissen Brown JR, Berzin TM, Zhou G, Lei S, Liu X, Li L, Xiao X. Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study. Gastroenterology. 2020 Oct;159(4):1252-1261.e5. doi: 10.1053/j.gastro.2020.06.023. Epub 2020 Jun 17.
- Glissen Brown JR, Mansour NM, Wang P, Chuchuca MA, Minchenberg SB, Chandnani M, Liu L, Gross SA, Sengupta N, Berzin TM. Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial). Clin Gastroenterol Hepatol. 2022 Jul;20(7):1499-1507.e4. doi: 10.1016/j.cgh.2021.09.009. Epub 2021 Sep 14.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- 2024.000.367
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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