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 language | English (US) |
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Title of host publication | Smart Education and Smart e-Learning |
Editors | Robert J. Howlett, Vladimir L. Uskov, Lakhmi C. Jain |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 501-512 |
Number of pages | 12 |
ISBN (Print) | 9783319198743 |
DOIs | |
State | Published - 2015 |
Event | 2nd International KES Conference on Smart Education and Smart e-Learning, SEEL 2015 - Sorrento, Italy Duration: Jun 17 2015 → Jun 19 2015 |
Publication series
Name | Smart Innovation, Systems and Technologies |
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Volume | 41 |
ISSN (Print) | 2190-3018 |
ISSN (Electronic) | 2190-3026 |
Other
Other | 2nd International KES Conference on Smart Education and Smart e-Learning, SEEL 2015 |
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Country/Territory | Italy |
City | Sorrento |
Period | 6/17/15 → 6/19/15 |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2015.
Keywords
- Colonoscopy
- Colorectal cancer
- Education
- Quality features
- Real-time feedback
- Video stream analysis