Modeling the eye as a window on the body
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1.
Carichino L, Cassani S, Lapin S, Verticchio Vercellin A. Modeling the eye as a window on the body. MAIO [Internet]. 2020 Jun. 16 [cited 2021 Oct. 24];2(4):4-10. Available from: https://www.maio-journal.com/index.php/MAIO/article/view/110

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Keywords

early diagnosis; mathematical modeling; ocular disease; retinal microcirculation; systemic disease

Abstract

Systemic pathologies such as diabetes and hypertension affect different organs and systems in the body. However, the first signs of these pathologies often emerge as alterations in visual and structural functions in the eye. As a consequence, the ophthalmologist is often the first physician to make a diagnosis of systemic diseases. In fact, the eye represents a unique organ where signs of systemic diseases may be assessed with non-invasive techniques.

https://doi.org/10.35119/maio.v2i4.110
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References

Shotliff K, Duncan G. Diabetes and the eye. In: KM Shaw, MH Cummings, editors. Diabetes: Chronic Complications. Chichester: John Wiley and Sons; 2005.

Konstantinidis L, Guex-Crosier Y. Hypertension and the eye. Curr Opin Ophthalmol. 2016;27(6):514-521.

Kansky JJ. Clinical ophthalmology: A systemic approach. 8th edition. Elsevier; 2015.

Flammer J, Konieczka K, Bruno R, Virdis A, Flammer AJ, Taddei S. The eye and the heart. Eur Heart J. 2013;34(17):1270-1278.

Gross JC, Harris A, Siesky BA, Sacco R, Shah A, Guidoboni G. Mathematical modeling for novel treatment approaches to open-angle glaucoma. Exp Rev Ophthalmol. 2017;(12)6:443-455.

Guidoboni G., Harris A., Sacco R. Ocular Fluid Dynamics. Anatomy, Physiology, Imaging Techniques, and Mathematical Modeling. New York: Springer-Birkhauser; 2019.

Ottesen JT, Danielsen M, editors. Mathematical modelling in medicine. Amsterdam: IOS Press; 2000.

Layton AT, Edwards A. Mathematical Modeling in Renal Physiology. Springer; 2014.

Salerni F, Repetto R, Harris A, Pinsky P, Prud'homme C, Szopos M, Guidoboni G. Biofluid modeling of the coupled eye-brain system and insights into simulated microgravity conditions. PLoS One. 2019;14;14(8):e0216012.

Carichino L, Harris A, Guidoboni G, et al. A theoretical investigation of the increase in venous oxygen saturation levels in glaucoma patients. Journal for Modeling in Ophthalmology. 2016;1(1):64-87.

Carichino L, Guidoboni G, Verticchio Vercellin AC. Computer-aided identification of novel ophthalmic artery waveform parameters in healthy subjects and glaucoma patients. Journal for Modeling in Ophthalmology 2016;1(2):59-69.

Carichino L, Harris A, Lapin S. Waveform parameters of retrobulbar vessels in glaucoma patients with different demograpics and disease severity. Eur J Ophthalmol. 2019;7:1120672119848259.

Marquis AD, Arnold A, Dean-Bernhoft C, Carlson BE, Olufsen MS. Practical identifiability and uncertainty quantification of a pulsatile cardiovascular model. Math Biosci. 2018;304:9-24.

Bruttini C, Verticchio Vercellin AC, Montanaro B. The Mont Blanc Study - The effect of altitude on intraocular pressure and central corneal thickness in healthy volunteers. Invest Ophthalmol Vis Sci. 2018;59(9):1662. Abstract 1662. ARVO, April 29-May 3, 2018, Honolulu, HI.

Leete J, Layton AT. Sex-specific long-term blood pressure regulation: Modeling and analysis. Comput Biol Med. 2019;104:139-148.

Layton, AT. Optimizing SGLT inhibitor treatment for diabetes with chronic kidney diseases. Biol Cybern. 2019;113(1-2):139-148.

Ometto G, Assheton P, Calivá F, et al. Spatial distribution of early red lesions is a risk factor for development of vision-threatening diabetic retinopathy. Diabetologia. 2017;60(12):2361-2367.

Wang Y, Marron JS, Aydin LA, Bullitt E, Wang HA. Nonparametric regression model with tree- structured response. J Am Stat Assoc. 2012;107:1272-1285.

Arnold A, Calvetti D, Somersalo E. Parameter estimation for stiff deterministic dynamical systems via ensemble Kalman filter. Inverse Probl. 2014:30(10): 105008.

Shirinifard A, Glazier JA, Swat M,. Adhesion failures determine the pattern of choroidal neovascularization in the eye: a computer simulation study. PLoS Computat Biol. 2012;8(5):e1002440.

Zhu S, Shi F, Xiang D, Zhu W, Chen H, Chen X. Choroid neovascularization growth prediction with treatment based on reaction-diffusion model in 3-d oct images. IEEE J Biomed Health Inform. 2017;21(6):1667-1674.

Koeppen BM., Stanton BA. Berne and Levy Physiology. 7th edition. Elsevier; 2017.

Guidoboni G, Bonifazi, G, Sacco R, et al. Electrochemical characterization of ciliary epithelium physiology: a theoretical approach. Invest Ophthalmol Vis Sci. 2019; 60(9):3202. Abstract 3202. ARVO, April 28- May 2, 2019. Vancouver, Canada.

Stalmans I, Vandewalle E, Anderson DR, et al. Use of colour Doppler imaging in ocular blood flow research. Acta Ophthalmol. 2011;89(8):e609-30. doi:10.1111/j.1755-3768.2011.02178.x.

Hardarson SH, Basit S, Jonsdottir TE, et al. Oxygen saturation in human retinal vessels is higher in dark than in light. Invest Ophthalmol Vis Sci. 2009;50:2308-2311. doi:10.1167/iovs.08-2576.

Cassani S. Blood circulation and aqueous humor flow in the eye: multi-scale modeling and clinical applications. Ph.D. thesis, Purdue University 2016.

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