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| Name | Class |
|---|---|
| Klinikum Stuttgart | OTHER |
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Evaluation of an artificial intelligence system for polyp detection (CADe)
We aim to evaluate the artificial intelligence system ENDOMIND that supports endoscopist in detection of polyps during surveillance endoscopy for colorectal cancer. 1070 patients out of 6 gastroenterologic practice are randomized 1:1 for conventional surveillance colonoscopy vs. surveillance with AI support. Primary endpoint is Adenoma detection rate.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| surveillance endoscopy with CADe support | Experimental | Endoscopy perfomed with CADe support. |
|
| conventional surveillance endoscopy | No Intervention | Endoscopy perfomed without CADe support. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ENDOMIND | Device | CADe system for Polyp detection |
|
| Measure | Description | Time Frame |
|---|---|---|
| adenoma detection rate | proportion of individuals undergoing a complete screening colonoscopy who have one or more adenomas | 4 months |
| Measure | Description | Time Frame |
|---|---|---|
| polyp detection rate | Exmainations with minimum one polyp detected. | 4 months |
| withdrawal time | Time of withdrawal. | 4 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Alexander Hann | Wuerzburg University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Universitätsklinikum Würzburg | Würzburg | Bavaria | 97080 | Germany |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41922731 | Derived | Lux TJ, Sassmannshausen Z, Kafetzis I, Banck M, Krenzer A, Fitting D, Sudarevic B, Troya J, Boeck W, Passek F, Heubach T, Simonis B, Heil FJ, Ludwig L, Puppe F, Zoller WG, Meining A, Hann A. Artificial intelligence assisted colorectal lesion detection in private practices a randomized controlled study. NPJ Digit Med. 2026 Apr 1;9(1):284. doi: 10.1038/s41746-026-02576-8. | |
| 35543874 |
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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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| resection time | Time spent on polyp resections. | 4 months |
| Boston Bowl Preparation Score | minimum 0, Maximum 9; should be higher than 5 for appropriate surveillance | 4 months |
| Derived |
| Lux TJ, Banck M, Sassmannshausen Z, Troya J, Krenzer A, Fitting D, Sudarevic B, Zoller WG, Puppe F, Meining A, Hann A. Pilot study of a new freely available computer-aided polyp detection system in clinical practice. Int J Colorectal Dis. 2022 Jun;37(6):1349-1354. doi: 10.1007/s00384-022-04178-8. Epub 2022 May 11. |