Measuring objective quality of colonoscopy

Jung Hwan Oh, Sae Hwang, Yu Cao, Wallapak Tavanapong, Danyu Liu, Johnny Wong, Piet C. De Groen

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Advances in video technology are being incorporated into today's healthcare practices. Colonoscopy is regarded as one of the most important diagnostic tools for colorectal cancer. Indeed, colonoscopy has contributed to a decline in the number of colorectal-cancer-related deaths. Although colonoscopy has become the preferred screening modality for prevention of colorectal cancer, recent data suggest that there is a significant miss rate for the detection of large polyps and cancers, and methods to investigate why this occurs are needed. To address this problem, we present a new computer-based method that analyzes a digitized video file of a colonoscopic procedure and produces a number of metrics that likely reflect the quality of the procedure. The method consists of a set of novel image-processing algorithms designed to address new technical challenges due to uncommon characteristics of videos captured during colonoscopy. As these measurements can be obtained automatically, our method enables future quality control in large-scale day-to-day medical practice, which is currently not feasible. In addition, our method can be adapted to other endoscopic procedures such as upper gastrointestinal endoscopy, enteroscopy, and bronchoscopy. Last but not least, our method may be useful to assess progress during colonoscopy training.

Original languageEnglish (US)
Pages (from-to)2190-2196
Number of pages7
JournalIEEE Transactions on Biomedical Engineering
Volume56
Issue number9
DOIs
StatePublished - Sep 2009

Keywords

  • Colonoscopy
  • Quality measurement metrics
  • Therapeutic and diagnostic operation detection
  • Video segmentation

ASJC Scopus subject areas

  • Biomedical Engineering

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