1. Automated polyp detection in the colorectum: a prospective study (with videos).
- Author
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Klare P, Sander C, Prinzen M, Haller B, Nowack S, Abdelhafez M, Poszler A, Brown H, Wilhelm D, Schmid RM, von Delius S, and Wittenberg T
- Subjects
- Adenoma diagnosis, Adenoma pathology, Adenomatous Polyps pathology, Aged, Automation, Carcinoma pathology, Cohort Studies, Colonic Polyps pathology, Colonoscopy, Colorectal Neoplasms pathology, Female, Humans, Logistic Models, Male, Middle Aged, Odds Ratio, Prospective Studies, Tumor Burden, Adenomatous Polyps diagnosis, Carcinoma diagnosis, Colonic Polyps diagnosis, Colorectal Neoplasms diagnosis, Image Processing, Computer-Assisted, Software
- Abstract
Background and Aims: 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.)., (Copyright © 2019 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.)
- Published
- 2019
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