Numerical evaluation of the efficacy of small-caliber colonoscopes in reducing patient pain during a colonoscopy
Debao Zhou and
Xuehuan He
Computer Methods in Biomechanics and Biomedical Engineering, 2019, vol. 22, issue 1, 38-46
Abstract:
Patient pain caused by a colonoscope is one of the main complications in completing a colonoscopy. Currently, randomized controlled trial (RCT) is one of the most used methods to evaluate the efficacy of small-caliber (SC) colonoscopes in reducing patient pain during a colonoscopy, compared with a standard colonoscope (SDC). However, many disturbing factors, including endoscopists’ skills, characteristics of patients and new technical features of the colonoscope (passive bending and high force transmission shaft), limit the reliability and generalizability of each finding in current RCTs. This paper focuses on modeling the insertion of colonoscopes within colon models using an explicit finite element method (FEM). Such a numerical model could overcome the limitations in RCTs. At the same time, it is expected to evaluate the efficacy of the small-caliber colonoscopes in reducing patient pain during a colonoscopy, while considering the effects of patient characteristics, including age, region and gender. The simulation results in this work showed that: compared with the SDC, a SC colonoscope may be more helpful in reducing discomfort for older patients, patients with smaller colon diameters and females.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/10255842.2018.1524885 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:gcmbxx:v:22:y:2019:i:1:p:38-46
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/gcmb20
DOI: 10.1080/10255842.2018.1524885
Access Statistics for this article
Computer Methods in Biomechanics and Biomedical Engineering is currently edited by Director of Biomaterials John Middleton
More articles in Computer Methods in Biomechanics and Biomedical Engineering from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().