2016
DOI: 10.1167/iovs.16-20167
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Factors Influencing Lamina Cribrosa Microcapillary Hemodynamics and Oxygen Concentrations

Abstract: PURPOSE. To identify and rank the lamina cribrosa (LC) morphologic factors that influence LC microcapillary hemodynamics and oxygen concentrations using computational fluid dynamics (CFD).METHODS. We generated 12,000 'artificial' LC microcapillary networks and predicted blood flow velocities and oxygen concentrations within the microcapillaries using CFD. Across models, we varied the average pore size of the LC (5500 6 2400 lm 2 ), the microcapillary arrangement (radial, isotropic, or circumferential), the LC … Show more

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Cited by 17 publications
(21 citation statements)
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“…3(b) and 4(a)], which were similar to the morphology of porcine LC collagenous beams observed from micro-computed tomography [34]. The similarity of LC microcapillaries and LC beams' morphology may prove that each LC beam contains a microcapillary, validating an important assumption used in computational hemodynamics study of the LC [7].…”
Section: Discussionsupporting
confidence: 67%
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“…3(b) and 4(a)], which were similar to the morphology of porcine LC collagenous beams observed from micro-computed tomography [34]. The similarity of LC microcapillaries and LC beams' morphology may prove that each LC beam contains a microcapillary, validating an important assumption used in computational hemodynamics study of the LC [7].…”
Section: Discussionsupporting
confidence: 67%
“…It has been speculated that several loads (IOP, the cerebrospinal fluid pressure [2], and optic nerve traction forces [3]) can cause RGC axonal death by inducing biomechanical insult to the ONH tissue, causing direct mechanical damage to the RGC and disrupting axonal transport of essential trophic factors [4][5][6]. Another possible pathway for RGC damage relates to the vascular deficiency-alterations in the structures of the ONH due to a modified biomechanical environment or poor ocular hemodynamics could predispose a person to ischemic RGC death [7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…The methods used to generate the network and descriptions of the parameters were described in our previous work. 18 So, for each eye model we varied eight unique parameters (excluding the IOP) simultaneously by randomly assigning a value to each parameter based on a predefined normal distribution (described in Table 1). The IOP was varied from 10 mm Hg to 55 mm Hg in increments of 5 mm Hg, and 500 models were built for each IOP value.…”
Section: Methodsmentioning
confidence: 99%
“…[6][7][8] Another possible pathway for RGC damage is vascular deficiency, and it is speculated that alterations in the structures of the optic nerve head (ONH), due to a modified biomechanical environment or poor ocular hemodynamics, could lead to ischemic RGC death. [9][10][11][12] To date, both mechanical and vascular factors have been assumed to be involved in glaucoma pathogenesis, but the relationship between these factors remains unclear. In our previous work, we investigated the hemodynamical aspects of OAG by developing computational fluid dynamics (CFD) models of the lamina cribrosa (LC), a sieve-like network of collagenous connective tissue and microcapillaries that mechanically supports and nourishes the RGCs.…”
mentioning
confidence: 99%
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