March 2012
Volume 53, Issue 14
Free
ARVO Annual Meeting Abstract  |   March 2012
The Influence Of Scleral Flap Thickness, Shape, Suture Number And Position On Pressure Change And Aqueous Flow Direction In A New Trabeculectomy Model
Author Affiliations & Notes
  • Amir Samsudin
    University of Malaya, Kuala Lumpur, Malaysia
    NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
  • Steve Brocchini
    NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
    UCL School of Pharmacy, London, United Kingdom
  • Peng T. Khaw
    NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
  • Ian Eames
    UCL Department of Mechanical Engineering, London, United Kingdom
  • Footnotes
    Commercial Relationships  Amir Samsudin, None; Steve Brocchini, None; Peng T. Khaw, None; Ian Eames, None
  • Footnotes
    Support  Ministry of Higher Education, Malaysia and NIHR Biomedical Research Centre, UK
Investigative Ophthalmology & Visual Science March 2012, Vol.53, 5953. doi:
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      Amir Samsudin, Steve Brocchini, Peng T. Khaw, Ian Eames; The Influence Of Scleral Flap Thickness, Shape, Suture Number And Position On Pressure Change And Aqueous Flow Direction In A New Trabeculectomy Model. Invest. Ophthalmol. Vis. Sci. 2012;53(14):5953.

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

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Abstract
 
Purpose:
 

IOP changes and aqueous flow direction determined by the scleral flap immediately after trabeculectomy are critical determinants of the surgical outcome. The purpose of this study was to use a new large scale mechanical engineering model to objectively measure the influence of flap thickness, shape, suture number and position on both the pressure difference across a model scleral flap and the flow of fluid underneath it. The intended outcome was a valid model and enhanced understanding of how these different variables could affect the outcome of surgery.

 
Methods:
 

The physical model exploits the principle of dynamic and geometric similarity, so while the model flap dimensions were up to 30x greater than typical scleral flap dimensions, the flow had similar properties. Scleral flaps were modeled using transparent 0.8mm and 1.6mm thick silicone sheets on an acrylic plate. Dyed 98% glycerine, representing the aqueous, was pumped between the sheet and plate, and the equilibrium pressure measured with a pressure transducer. Image analysis was based on the principle of dye dilution and calculations were performed using MATLAB software.

 
Results:
 

The pressure drop across the flap increased with decreased flap thickness, due to reduced rigidity and resistance. Doubling the surface area of flaps and reducing the number of sutures from 5 to 3 or 2 also resulted in larger pressure drops. Flow direction was affected mainly by suture number and position, as it was minimal near the sutures and greater towards the nearest free edge of the flap. Posterior flow of aqueous was promoted by placing sutures along the sides of the flap and leaving the posterior edge free of sutures.

 
Conclusions:
 

We demonstrated a new large-scale physical model of a scleral flap which is able to show how changes in flap thickness, shape and the number and position of sutures affect the pressure and flow characteristics after trabeculectomy.  

 
Keywords: computational modeling • intraocular pressure • image processing 
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