Automated polyp detection in the colorectum: a prospective study (with videos)

Klare P, Sander C, Prinzen M, Haller M, Nowack S, Abdelhafez M, Poszler A, Brown H, Wilhelm D, Schmidt RM, von Delius S, Wittenberg T (2019)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2019


Book Volume: 89

Pages Range: 576-582.e1

Journal Issue: 3


DOI: 10.1016/j.gie.2018.09.042


Adenoma detection is a highly personalized task that differs markedly among endoscopists. Technical advances are therefore desirable for the improvement of the adenoma detection rate (ADR). An automated computer-driven technology would offer the chance to objectively assess the presence of colorectal polyps during colonoscopy. We present here the application of a real-time automated polyp detection software (APDS) under routine colonoscopy conditions.


This was a prospective study at a university hospital in Germany. A prototype of a novel APDS ("KoloPol," Fraunhofer IIS, Erlangen, Germany) was used for automated image-based polyp detection. The software functions by highlighting structures of possible polyp lesions in a color-coded manner during real-time colonoscopy procedures. Testing the feasibility of APDS deployment under real-time conditions was the primary goal of the study. APDS polyp detection rates (PDRs) were defined as secondary endpoints provided that endoscopists' detection served as criterion standard.


The APDS was applied in 55 routine colonoscopies without the occurrence of any clinically relevant adverse events. Endoscopists' PDRs and ADRs were 56.4% and 30.9%, respectively. The PDRs and ADRs of the APDS were 50.9% and 29.1%, respectively. The APDS detected 55 of 73 polyps (75.3%). Smaller polyp size and flat polyp morphology were correlated with insufficient polyp detection by the APDS.


Computer-assisted automated low-delay polyp detection is feasible during real-time colonoscopy. Efforts should be undertaken to improve the APDS with respect to smaller and flat shaped polyps. (Clinical trial registration number: NCT02838888.).

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How to cite


Klare, P., Sander, C., Prinzen, M., Haller, M., Nowack, S., Abdelhafez, M.,... Wittenberg, T. (2019). Automated polyp detection in the colorectum: a prospective study (with videos). Gastrointestinal Endoscopy, 89(3), 576-582.e1.


Klare, Peter, et al. "Automated polyp detection in the colorectum: a prospective study (with videos)." Gastrointestinal Endoscopy 89.3 (2019): 576-582.e1.

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