March 2012
Volume 53, Issue 14
Free
ARVO Annual Meeting Abstract  |   March 2012
The Controversy of Myopia as a Risk Factor for Glaucoma: a Mathematical Approach
Author Affiliations & Notes
  • Giovanna Guidoboni
    Mathematics, Indiana University Purdue University Indianapolis, Indianapolis, Indiana
  • Simone Cassani
    Mathematics, Indiana University Purdue University Indianapolis, Indianapolis, Indiana
  • Lucia Carichino
    Mathematics, Indiana University Purdue University Indianapolis, Indianapolis, Indiana
  • Yoel Arieli
    Ophthalmology, Indiana University Sch of Medicine, Indianapolis, Indiana
  • Brent A. Siesky
    Ophthalmology, Indiana University Sch of Medicine, Indianapolis, Indiana
  • Alon Harris
    Ophthalmology, Indiana Univ Sch of Medicine, Indianapolis, Indiana
  • Footnotes
    Commercial Relationships  Giovanna Guidoboni, None; Simone Cassani, None; Lucia Carichino, None; Yoel Arieli, None; Brent A. Siesky, None; Alon Harris, None
  • Footnotes
    Support  Indiana University Collaborative Research Grant fund of the Office of the Vice President for Research, NSFDMS 0811138, Unrestricted Grant from Research to Prevent Blindness
Investigative Ophthalmology & Visual Science March 2012, Vol.53, 2837. doi:
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      Giovanna Guidoboni, Simone Cassani, Lucia Carichino, Yoel Arieli, Brent A. Siesky, Alon Harris; The Controversy of Myopia as a Risk Factor for Glaucoma: a Mathematical Approach. Invest. Ophthalmol. Vis. Sci. 2012;53(14):2837.

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

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Abstract
 
Purpose:
 

to describe and quantify how individual variations in anatomical parameters often associated with myopia (e.g. longer ocular axial length (OAL), reduced scleral thickness (ST), lamina cribrosa diameter (LCD) and thickness (LCT)) affect retinal blood flow (RBF) and its sensitivity to ocular perfusion pressure (OPP).

 
Methods:
 

A mathematical model is used to calculate RBF through central retinal artery (CRA), arterioles, capillaries, venules, and central retinal vein (CRV). The flow is time-dependent, driven by systemic pressure and regulated by variable resistances to account for nonlinear effects due to (1) autoregulation, and (2) lamina cribrosa effect on CRA and CRV. The latter is a nonlinear function of intraocular pressure (IOP), cerebrospinal fluid pressure (CSF) and the anatomical parameters OAL, ST, LCD, and LCT. RBF is computed as the solution of a system of five non-linear ordinary differential equations. The system is solved for different OPP values, obtained by varying independently IOP and mean arterial pressure (MAP), with and without autoregulation.

 
Results:
 

Four representative eyes are compared: Eye 1 (OAL=24mm, ST=1mm, LCD=3mm, LCT=0.4mm), Eye 2 (OAL=28mm, ST=1mm, LCD=3mm, LCT=0.4mm), Eye 3 (OAL=24mm, ST=0.7mm, LCD=2mm, LCT=0.2mm), Eye 4 (OAL=28mm, ST=0.7mm, LCD=2mm, LCT=0.2mm). The model predicts that the cardiac cycle RBF average (RBFav) for eyes with smaller LCD and LCT is notably less than in normal eyes when IOP is elevated and without autoregulation, see Figure (c). Without autoregulation and reduced MAP, the four eyes show similar RBFav reductions, see Figure (d). With autoregulation, anatomical changes do not induce notable changes in RBFav, see Figures (a) and (b).

 
Conclusions:
 

Reduced LCD and LCT, often associated with myopia, seem to affect RBFav more than elevated OAL. Impaired autoregulation magnifies RBFav reductions, and this might reduce IOP safe levels for eyes with reduced LCD and LCT. These findings suggest that a combination of anatomical and vascular factors might cause certain myopic eyes to be at higher risk for glaucomatous damage than others.  

 
Keywords: computational modeling • blood supply • myopia 
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