May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
Fluid Dynamics During Phacoemulsification
Author Affiliations & Notes
  • L. E. Fernandez de Castro
    Ophthalmology, Magill Research Center/MUSC, Charleston, South Carolina
  • K. D. Solomon
    Ophthalmology, Magill Research Center/MUSC, Charleston, South Carolina
  • Footnotes
    Commercial Relationships  L.E. Fernandez de Castro, Alcon, F; K.D. Solomon, Alcon, F; Alcon, C.
  • Footnotes
    Support  NIH/NEI EY-014793; and an unrestricted grant to MUSC-SEI from Research to Prevent Blindness, New York, NY, USA
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 376. doi:
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    • Get Citation

      L. E. Fernandez de Castro, K. D. Solomon; Fluid Dynamics During Phacoemulsification. Invest. Ophthalmol. Vis. Sci. 2008;49(13):376.

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

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Abstract

Purpose: : To describe a model for visualizing and quantifying fluid dynamics of the torsional and the conventional phacoemulsification handpiece using the Alcon Infiniti Vision System.

Methods: : Visualization and quantification of intraocular fluid dynamics was obtained by injecting polysterene-beads (125-212 microns diameter) and videoing with anterior, side views, and a high speed camera in porcine eyes, donor eyes, and in a closed controlled environment. Images of irrigation, irrigation combined with aspiration, irrigation/aspiration, and phacoemulsification using different parameters (torsional and ultrasound power, aspiration flow rate, vacuum, pulse, and bottle height) were analyzed.

Results: : Despite of changing power settings, the model distinguished different clearance rates and aspiration efficiency of beads. The high speed camera demonstrated different fluidic patterns of bead flow in the periphery and central needle tip with and without lens material.

Conclusions: : Although this unique fluidic model is a preliminary study, it seems to be a feasible model to study fluid movement in the anterior chamber. Future studies using this model can determine what is optimal, which can then be applied to the clinical settings.

Keywords: cataract 
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