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Colonoscopy procedure simulation: virtual reality training based on a real time computational approach

Overview of attention for article published in BioMedical Engineering OnLine, January 2018
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Title
Colonoscopy procedure simulation: virtual reality training based on a real time computational approach
Published in
BioMedical Engineering OnLine, January 2018
DOI 10.1186/s12938-018-0433-4
Pubmed ID
Authors

Tingxi Wen, David Medveczky, Jackie Wu, Jianhuang Wu

Abstract

Colonoscopy plays an important role in the clinical screening and management of colorectal cancer. The traditional 'see one, do one, teach one' training style for such invasive procedure is resource intensive and ineffective. Given that colonoscopy is difficult, and time-consuming to master, the use of virtual reality simulators to train gastroenterologists in colonoscopy operations offers a promising alternative. In this paper, a realistic and real-time interactive simulator for training colonoscopy procedure is presented, which can even include polypectomy simulation. Our approach models the colonoscopy as thick flexible elastic rods with different resolutions which are dynamically adaptive to the curvature of the colon. More material characteristics of this deformable material are integrated into our discrete model to realistically simulate the behavior of the colonoscope. We present a simulator for training colonoscopy procedure. In addition, we propose a set of key aspects of our simulator that give fast, high fidelity feedback to trainees. We also conducted an initial validation of this colonoscopic simulator to determine its clinical utility and efficacy.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 17%
Researcher 11 12%
Student > Master 8 9%
Student > Bachelor 8 9%
Student > Doctoral Student 6 7%
Other 10 11%
Unknown 31 35%
Readers by discipline Count As %
Computer Science 16 18%
Engineering 15 17%
Medicine and Dentistry 8 9%
Nursing and Health Professions 5 6%
Design 2 2%
Other 7 8%
Unknown 36 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 January 2018.
All research outputs
#18,584,192
of 23,018,998 outputs
Outputs from BioMedical Engineering OnLine
#565
of 824 outputs
Outputs of similar age
#330,279
of 441,127 outputs
Outputs of similar age from BioMedical Engineering OnLine
#12
of 17 outputs
Altmetric has tracked 23,018,998 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,127 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.