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In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.
During standard colonoscopy, a substantial number of colorectal polyps can be missend. As shown in a recent meta-analysis, miss rates for adenomas can reach up to 26%. In this study, it is tested whether an artificial intelligence system that highlights colorectal polyps during screening or surveillance colonoscopy in real time can lead to an increased detection of colorectal polyps during the examination.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Artificial Intelligence |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Artificial Intelligence System for Detection of colorectal polyps | Device | In this group, an artificial Intelligence System will be used for computer-aided diagnosis of colorectal polyps. Diagnostic Performance of the artificial intelligence System for detection of polyps will be compared against Operator-based detection in the same group |
| Measure | Description | Time Frame |
|---|---|---|
| Feasibility to use the AI System in vivo during colonoscopy | As a Primary outcome, whether the AI System is capable of detecting colorectal polyps in vivo during colonoscopy | 4 month |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic Performance of the AI System for detecting colorectal polyps | As a secondary outcome, we assess the diagnostic Performance of the AI System for detecing colorectal Polyp in real time | 4 month |
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Inclusion Criteria:
Exclusion Criteria:
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All patients presenting between January and May 2020 for surveillance or Screening colonoscopy in the Ludwig Demling Endoscopy Center of Excellence will be prospectively included under the above mentioned inclusion and exclusion criteria. Prior to enrollment, written informed consent will be obtained.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Timo Rath, MD | Contact | 49 9131 85 | 45041 | timo.rath@uk-erlangen.de |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital Erlangen | Recruiting | Erlangen | 91054 | Germany |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34034272 | Derived | Pfeifer L, Neufert C, Leppkes M, Waldner MJ, Hafner M, Beyer A, Hoffman A, Siersema PD, Neurath MF, Rath T. Computer-aided detection of colorectal polyps using a newly generated deep convolutional neural network: from development to first clinical experience. Eur J Gastroenterol Hepatol. 2021 Dec 1;33(1S Suppl 1):e662-e669. doi: 10.1097/MEG.0000000000002209. |
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The study will be published in scientific magazines after competion and thus will be made available to other Researchers. Individual Patient data will not be displayed or shared.
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| ID | Term |
|---|---|
| D003111 | Colonic Polyps |
| ID | Term |
|---|---|
| D007417 | Intestinal Polyps |
| D011127 | Polyps |
| D020763 | Pathological Conditions, Anatomical |
| D013568 | Pathological Conditions, Signs and Symptoms |
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