TY  - JOUR
A1  - Lux, Thomas J.
A1  - Banck, Michael
A1  - Saßmannshausen, Zita
A1  - Troya, Joel
A1  - Krenzer, Adrian
A1  - Fitting, Daniel
A1  - Sudarevic, Boban
A1  - Zoller, Wolfram G.
A1  - Puppe, Frank
A1  - Meining, Alexander
A1  - Hann, Alexander
T1  - Pilot study of a new freely available computer-aided polyp detection system in clinical practice
T2  - International Journal of Colorectal Disease
N2  - Purpose
Computer-aided polyp detection (CADe) systems for colonoscopy are already presented to increase adenoma detection rate (ADR) in randomized clinical trials. Those commercially available closed systems often do not allow for data collection and algorithm optimization, for example regarding the usage of different endoscopy processors. Here, we present the first clinical experiences of a, for research purposes publicly available, CADe system.

Methods
We developed an end-to-end data acquisition and polyp detection system named EndoMind. Examiners of four centers utilizing four different endoscopy processors used EndoMind during their clinical routine. Detected polyps, ADR, time to first detection of a polyp (TFD), and system usability were evaluated (NCT05006092).

Results
During 41 colonoscopies, EndoMind detected 29 of 29 adenomas in 66 of 66 polyps resulting in an ADR of 41.5%. Median TFD was 130 ms (95%-CI, 80–200 ms) while maintaining a median false positive rate of 2.2% (95%-CI, 1.7–2.8%). The four participating centers rated the system using the System Usability Scale with a median of 96.3 (95%-CI, 70–100).

Conclusion
EndoMind’s ability to acquire data, detect polyps in real-time, and high usability score indicate substantial practical value for research and clinical practice. Still, clinical benefit, measured by ADR, has to be determined in a prospective randomized controlled trial.
KW  - colonoscopy
KW  - polyp
KW  - artificial intelligence
KW  - deep learning
KW  - CADe
Y1  - 2022
UR  - https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/32445
UR  - https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-324459
VL  - 37
IS  - 6
ER  -