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

Beitrag in einer Fachzeitschrift

Details zur Publikation

Autorinnen und Autoren: 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
Zeitschrift: Gastrointestinal Endoscopy
Jahr der Veröffentlichung: 2019
Band: 89
Heftnummer: 3
Seitenbereich: 576-582.e1
ISSN: 0016-5107
Sprache: Englisch


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


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


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.).

FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Wittenberg, Thomas PD Dr.
Technische Fakultät

Zusätzliche Organisationseinheit(en)
Technische Fakultät

Einrichtungen weiterer Autorinnen und Autoren

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


Visual Healthcare Computing
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)


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.


Zuletzt aktualisiert 2019-01-07 um 13:01