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

Beitrag in einer Fachzeitschrift
(Originalarbeit)


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


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.).


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


Forschungsbereiche

Visual Healthcare Computing
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)


Zitierweisen

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://dx.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.

BibTeX: 

Zuletzt aktualisiert 2019-01-07 um 13:01