April 2010
Volume 51, Issue 13
ARVO Annual Meeting Abstract  |   April 2010
Computational Fluid Dynamics Evaluation of Vitreous Flow During Vitrectomy
Author Affiliations & Notes
  • J.-P. Hubschman
    Department of Ophthalmology - Retina Div, Jules Stein Eye Institute - UCLA, Los Angeles, California
  • J. Tingting
    Mechanical Aerospace Engineering, UCLA, Los Angeles, California
  • I. Tsui
    Ophthalmology, Jules Stein, Los Angeles, California
  • S. D. Schwartz
    Ophthalmology, Jules Stein Eye Inst/UCLA, Los Angeles, California
  • J. Eldredge
    Mechanical Aerospace Engineering, UCLA, Los Angeles, California
  • Footnotes
    Commercial Relationships  J. Tingting, None; I. Tsui, None; S.D. Schwartz, None; J. Eldredge, None.
  • Footnotes
    Support  None.
Investigative Ophthalmology & Visual Science April 2010, Vol.51, 2965. doi:
  • Views
  • Share
  • Tools
    • Alerts
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      J.-P. Hubschman, J. Tingting, I. Tsui, S. D. Schwartz, J. Eldredge; Computational Fluid Dynamics Evaluation of Vitreous Flow During Vitrectomy. Invest. Ophthalmol. Vis. Sci. 2010;51(13):2965.

      Download citation file:

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

  • Supplements

To study the impact of different parameters such as duty cycle, vacuum, and cut rate on vitreous flow behaviour during vitrectomy by using a computational fluid dynamics model.


A two dimensional model focusing on the tip of the vitrector and the surrounding vitreous was developed to investigate vitreous flow behavior during vitrectomy. The vitreous is considered to be a Newtonian fluid. Major vitrectomy parameters, such as vitreous probe size (port and inner tube diameter), cut rate, duration of each guillotine phase (opening, opened, closing, and closed), as well as the duty cycle, were studied to assess their impact on vitreous flow behavior (flow rate and vitreous velocity around the probe). Flow performances and vorticity along the vitrector were also studied at different cut rates.


Linear changes in flow rate were observed with vacuum and cut rate variations. Different time-varying flow rates were found at different cut rates and vacuum. The flow rate increased during the opening phase and dropped dramatically when the gate suddenly closed. The flow rate during the fully opened phase was dependent on vacuum, cut rate, and guillotine opening speed. The vorticity of the vitreous along the guillotine, which depended on cut rate, demonstrated a dramatic impact on the flow rate performances.


Evaluation of computational fluid dynamics demonstrates the impact of vitrectomy parameters on flow rate behavior.FigureChanges in flow rate over time for different vacuum settings throughout vitrector cut cycle (vitreous cutter at 2000 CPM).  

Keywords: computational modeling • vitreoretinal surgery • vitreous 

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.