May 2005
Volume 46, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2005
Cataract Surgery Simulator, Development of Software for Treatment Parameters and Measurement Variables
Author Affiliations & Notes
  • W. Simawi
    St. Erik's Eye Hospital, Ophthalmology, Stockholm, Sweden
    Ophthalmology, Mälarsjukhuset, Eskilstuna, Sweden
  • P.G. Söderberg
    St. Erik's Eye Hospital, Ophthalmology, Stockholm, Sweden
    Ophthalmology, Mälarsjukhuset, Eskilstuna, Sweden
  • C.–G. Laurell
    St. Erik's Eye Hospital, Ophthalmology, Stockholm, Sweden
  • P. Nordqvist
    Melerit AB, Linköping, Sweden
  • L. Nordh
    Melerit AB, Linköping, Sweden
  • E. Skarman
    Melerit AB, Linköping, Sweden
  • Footnotes
    Commercial Relationships  W. Simawi, None; P.G. Söderberg, None; C. Laurell, Melerit AB I; P. Nordqvist, Melerit AB I, E, P; L. Nordh, Melerit AB I, E, P; E. Skarman, Melerit AB I, E, P.
  • Footnotes
    Support  KI educ board, KI–funds,
Investigative Ophthalmology & Visual Science May 2005, Vol.46, 742. doi:
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      W. Simawi, P.G. Söderberg, C.–G. Laurell, P. Nordqvist, L. Nordh, E. Skarman; Cataract Surgery Simulator, Development of Software for Treatment Parameters and Measurement Variables . Invest. Ophthalmol. Vis. Sci. 2005;46(13):742.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Abstract: : Purpose: To develop software for determination of treatment parameters and measurement variables for a cataract surgery simulator. Methods: We have developed a cataract surgery simulator that allows virtual phacoemulsification cataract extraction under input from a phacoemulsification hand piece, a nuclear manipulator, a foot pedal for microscope X–Y–Z and zooming and a foot pedal for irrigation, aspiration and phacoemulsification control and visual feed back through a 3D binocular microscope. In this study, we defined relevant treatment parameters and surgical procedure measurement variables. A group of experienced cataract surgeons were questioned about relevant treatment parameter and measurement variables. The suggestions were carefully examined by our development group and the most important parameters and variables were implemented in the simulator software. Results: Procedure parameters were affiliated to the main groups; patient movement, pupil diameter, lens parameters and phacoemulsification procedure parameters. In each group, about 10 parameters were identified. A windows based administrator interface was developed to set the procedure parameters. One combination of setting of procedure parameters was made possible to save as a case for fast initiation of a similar simulator session. Measured variables were affiliated to the main groups; procedure characteristics, foot pedal technique, phacoemulsification technique, erroneous manipulation, damage to ocular structures, and trainee physiological variables. In each group about 10 variables were identified. At initiation of a simulator session a txt file is created and all session parameters are stored on the file and during and after the session all estimates of measured variables are stored on the txt file for further analysis. Conclusions: The simulator that we have developed now allows to customize a specific surgical case and to measure the performance of the trainee during the virtual cataract surgery. This will allow clinical evaluation of the simulator.

Keywords: cataract • imaging/image analysis: non-clinical • image processing 
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