Real-time feedback during colonoscopy to improve quality: How often to improve inspection?

Piet C. De Groen, Michael Szewczynski, Felicity Enders, Wallapak Tavanapong, Jung Hwan Oh, Johnny Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Colorectal cancer (CRC) is the second leading cause of cancer deaths in the US despite wide use of colonoscopy to prevent CRC-related death. The current explanation for the failure of colonoscopy to prevent most CRC-related death is that lesions are not detected or completely removed. Real-time feedback during colonoscopy has the potential to alert endoscopists that sub-optimal visualization of the colon mucosa is occurring. To determine what type and frequency of feedback most likely will improve colonoscopy, we studied a set of randomly obtained video files for four features associated with quality of visualization: clear or blurry frames, camera speed, amount of remaining debris and effort of the endoscopist to inspect in a circumferential fashion all of the mucosa. Our results show that the two types of feedback most frequently needed to improve visualization are reminders to obtain clear frames or to inspect all of the mucosa in circumferential fashion.

Original languageEnglish (US)
Title of host publicationSmart Education and Smart e-Learning
EditorsRobert J. Howlett, Vladimir L. Uskov, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages501-512
Number of pages12
ISBN (Print)9783319198743
DOIs
StatePublished - Jan 1 2015
Event2nd International KES Conference on Smart Education and Smart e-Learning, SEEL 2015 - Sorrento, Italy
Duration: Jun 17 2015Jun 19 2015

Publication series

NameSmart Innovation, Systems and Technologies
Volume41
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other2nd International KES Conference on Smart Education and Smart e-Learning, SEEL 2015
Country/TerritoryItaly
CitySorrento
Period6/17/156/19/15

Keywords

  • Colonoscopy
  • Colorectal cancer
  • Education
  • Quality features
  • Real-time feedback
  • Video stream analysis

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