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

Journal

Gastrointestinal Endoscopy Elsevier

Book Volume: 89

Pages Range: 576-582.e1

Journal Issue: 3

URI: https://www.ncbi.nlm.nih.gov/pubmed/30342029

DOI: 10.1016/j.gie.2018.09.042

Abstract

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.

METHODS:

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.

RESULTS:

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.

CONCLUSION:

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.).

Authors with CRIS profile

Thomas Wittenberg Technische Fakultät

Additional Organisation(s)

Technische Fakultät

Involved external institutions

Fraunhofer-Institut für Integrierte Schaltungen (IIS) DE Germany (DE) Klinikum rechts der Isar DE Germany (DE)

How to cite

APA:

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. https://doi.org/10.1016/j.gie.2018.09.042

MLA:

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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