Evaluation of learning curve and peripheral awareness using a novel multiresolution foveated laparoscope

Marissa Lovett, David Biffar, Allan Hamilton, Jeremy Katz, Sangyoon Lee, Hong Hua, Mike Nguyen

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

Abstract

Laparoscopic surgery relies on effective visualization of areas of interest and surrounding tissue. The limited field of view of traditional laparoscopes increases the risk of peripheral tissue injury. To address this limitation, a multiresolution foveated laparoscope (MRFL) was designed to enhance peripheral awareness while maintaining focus on the area of interest. Peripheral awareness and learner effect were evaluated with novices (n=13) and experts (n=8). These subjects completed a modified Fundamentals of Laparoscopy Surgery task using a traditional laparoscope, MRFL with autotracking (AT), and MRFL without autotracking (NoAT). Subjects using the traditional laparoscope performed better than MRFL AT and MRFL NoAT in task completion time and collision number. The learner effect was steeper with use of MRFL. In multiple tested parameters, MRFL NoAT performed as well as the traditional laparoscope while providing the added benefits of enhanced field of view and multiple viewing perspectives. These findings warrant further development of MRFL.

Original languageEnglish (US)
Title of host publication2019 Spring Simulation Conference, SpringSim 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781510883888
DOIs
StatePublished - Apr 2019
Event2019 Spring Simulation Conference, SpringSim 2019 - Tucson, United States
Duration: Apr 29 2019May 2 2019

Publication series

Name2019 Spring Simulation Conference, SpringSim 2019

Conference

Conference2019 Spring Simulation Conference, SpringSim 2019
CountryUnited States
CityTucson
Period4/29/195/2/19

Keywords

  • Laparoscope
  • Learning Curve
  • Multiresolution Foveated Laparoscope
  • Peripheral Awareness
  • Tracking

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Modeling and Simulation

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  • Cite this

    Lovett, M., Biffar, D., Hamilton, A., Katz, J., Lee, S., Hua, H., & Nguyen, M. (2019). Evaluation of learning curve and peripheral awareness using a novel multiresolution foveated laparoscope. In 2019 Spring Simulation Conference, SpringSim 2019 [8732872] (2019 Spring Simulation Conference, SpringSim 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/SpringSim.2019.8732872