Abstract
Purpose
To evaluate the pattern of retinal thickness distribution in patients with keratoconus (KCN) and its correlation with disease severity.
Methods
For this cross-sectional cohort study, the study subjects with documented keratoconus and normal eyes were prospectively enrolled. All subjects had anterior segment (Pentacam HR) and posterior segment (Spectralis) imaging. Posterior segment imaging by optical coherence tomography included the posterior pole asymmetry analysis map. Data were analyzed with multiple linear regression models and correlation tests to examine the mean and variance of the measured thickness of the retina and its distribution relative to the presence and severity of KCN.
Results
A total of 24 subjects with keratoconus (48 eyes) and 14 normal subjects (28 eyes) enrolled in this study. The posterior pole retinal thickness, both superior and inferior hemifields, as well as the overall retinal thickness in KCN patients was greater than the control group. There was a direct correlation between the overall retinal thickness of the posterior pole and the severity of KCN (R2 = 0.422, P < 0.001). However, the variability of the retinal thickness showed no difference between KCN-afflicted and healthy eyes.
Conclusion
Although KCN is a disease of the anterior segment of the eye, we found an orderly increase in posterior pole retinal thickness that is correlated with the severity of disease in KCN eyes compared to control. These findings suggest that the retina may maintain some degree of plasticity to respond to the degraded optical system of the eye.
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References
Brautaset RL, Rosen R, Cervino A, Miller WL, Bergmanson J, Nilsson M (2015) Comparison of macular thickness in patients with keratoconus and control subjects using the cirrus HD-OCT. Biomed Res Int 2015:832863. https://doi.org/10.1155/2015/832863
Gutierrez-Bonet R, Ruiz-Medrano J, Pena-Garcia P, Catanese M, Sadeghi Y, Hashemi K, Gabison E, Ruiz-Moreno JM (2018) Macular choroidal thickening in keratoconus patients: swept-source optical coherence tomography study. Transl Vis Sci Technol 7(3):15. https://doi.org/10.1167/tvst.7.3.15
Sahebjada S, Amirul Islam FM, Wickremasinghe S, Daniell M, Baird PN (2015) Assessment of macular parameter changes in patients with keratoconus using optical coherence tomography. J Ophthalmol 2015:245953. https://doi.org/10.1155/2015/245953
Bak-Nielsen S, Ramlau-Hansen CH, Ivarsen A, Plana-Ripoll O, Hjortdal J (2018) A nationwide population-based study of social demographic factors, associated diseases and mortality of keratoconus patients in Denmark from 1977 to 2015. Acta Ophthalmol. https://doi.org/10.1111/aos.13961
Kelly TL, Williams KA, Coster DJ, Australian Corneal Graft R (2011) Corneal transplantation for keratoconus: a registry study. Arch Ophthalmol 129(6):691–697. https://doi.org/10.1001/archophthalmol.2011.7
Gomes JA, Rapuano CJ, Belin MW, Ambrosio R Jr, Group of Panelists for the Global Delphi Panel of K, Ectatic D (2015) Global consensus on keratoconus diagnosis. Cornea 34(12):e38–39. https://doi.org/10.1097/ICO.0000000000000623
Kalkan Akcay E, Akcay M, Uysal BS, Kosekahya P, Aslan AN, Caglayan M, Koseoglu C, Yulek F, Cagil N (2014) Impaired corneal biomechanical properties and the prevalence of keratoconus in mitral valve prolapse. J Ophthalmol 2014:402193. https://doi.org/10.1155/2014/402193
Woodward MA, Blachley TS, Stein JD (2016) The association between sociodemographic factors, common systemic diseases, and keratoconus: an analysis of a nationwide heath care claims database. Ophthalmology 123(3):457–465. https://doi.org/10.1016/j.ophtha.2015.10.035
Robertson I (1975) Keratoconus and the ehlers-danlos syndrome: a new aspect of keratoconus. Med J Aust 1(18):571–573
Oh JY, Yu HG (2010) Keratoconus associated with choroidal neovascularization: a case report. J Med Case Rep 4:58. https://doi.org/10.1186/1752-1947-4-58
Eandi CM, Del Priore LV, Bertelli E, Ober MD, Yannuzzi LA (2008) Central serous chorioretinopathy in patients with keratoconus. Retina 28(1):94–96. https://doi.org/10.1097/IAE.0b013e3180986299
Akkaya S (2018) Macular and peripapillary choroidal thickness in patients with keratoconus. Ophthalmic Surg Lasers Imaging Retina 49(9):664–673. https://doi.org/10.3928/23258160-20180831-03
Akkaya S, Kucuk B (2017) Lamina cribrosa thickness in patients with keratoconus. Cornea 36(12):1509–1513. https://doi.org/10.1097/ICO.0000000000001379
Moschos MM, Chatziralli IP, Koutsandrea C, Siasou G, Droutsas D (2013) Assessment of the macula in keratoconus: an optical coherence tomography and multifocal electroretinography study. Ophthalmologica 229(4):203–207. https://doi.org/10.1159/000350801
Geitzenauer W, Hitzenberger CK, Schmidt-Erfurth UM (2011) Retinal optical coherence tomography: past, present and future perspectives. Br J Ophthalmol 95(2):171–177. https://doi.org/10.1136/bjo.2010.182170
Virgili G, Menchini F, Dimastrogiovanni AF, Rapizzi E, Menchini U, Bandello F, Chiodini RG (2007) Optical coherence tomography versus stereoscopic fundus photography or biomicroscopy for diagnosing diabetic macular edema: a systematic review. Invest Ophthalmol Vis Sci 48(11):4963–4973. https://doi.org/10.1167/iovs.06-1472
Neubauer AS, Priglinger S, Ullrich S, Bechmann M, Thiel MJ, Ulbig MW, Kampik A (2001) Comparison of foveal thickness measured with the retinal thickness analyzer and optical coherence tomography. Retina 21(6):596–601
Baumann M, Gentile RC, Liebmann JM, Ritch R (1998) Reproducibility of retinal thickness measurements in normal eyes using optical coherence tomography. Ophthalmic Surg Lasers 29(4):280–285
Hee MR, Puliafito CA, Wong C, Duker JS, Reichel E, Rutledge B, Schuman JS, Swanson EA, Fujimoto JG (1995) Quantitative assessment of macular edema with optical coherence tomography. Arch Ophthalmol 113(8):1019–1029
Cankaya AB, Beyazyildiz E, Ileri D, Yilmazbas P (2012) Optic disc and retinal nerve fiber layer parameters of eyes with keratoconus. Ophthalmic Surg Lasers Imaging 43(5):401–407. https://doi.org/10.3928/15428877-20120531-01
Koytak A, Kubaloglu A, Sari ES, Atakan M, Culfa S, Ozerturk Y (2011) Changes in central macular thickness after uncomplicated corneal transplantation for keratoconus: penetrating keratoplasty versus deep anterior lamellar keratoplasty. Cornea 30(12):1318–1321. https://doi.org/10.1097/ICO.0b013e31821eeaad
Acar BT, Muftuoglu O, Acar S (2011) Comparison of macular thickness measured by optical coherence tomography after deep anterior lamellar keratoplasty and penetrating keratoplasty. Am J Ophthalmol 152(5):756–761. https://doi.org/10.1016/j.ajo.2011.05.001
Hua R, Gangwani R, Guo L, McGhee S, Ma X, Li J, Yao K (2016) Detection of preperimetric glaucoma using Bruch membrane opening, neural canal and posterior pole asymmetry analysis of optical coherence tomography. Sci Rep 6:21743. https://doi.org/10.1038/srep21743
Dave P, Shah J (2015) Diagnostic accuracy of posterior pole asymmetry analysis parameters of spectralis optical coherence tomography in detecting early unilateral glaucoma. Indian J Ophthalmol 63(11):837–842. https://doi.org/10.4103/0301-4738.171965
Khanal S, Davey PG, Racette L, Thapa M (2016) Intraeye retinal nerve fiber layer and macular thickness asymmetry measurements for the discrimination of primary open-angle glaucoma and normal tension glaucoma. J Optom 9(2):118–125. https://doi.org/10.1016/j.optom.2015.10.002
Kim JM, Sung KR, Yoo YC, Kim CY (2013) Point-wise relationships between visual field sensitivity and macular thickness determined by spectral-domain optical coherence tomography. Curr Eye Res 38(8):894–901. https://doi.org/10.3109/02713683.2013.787433
Alluwimi MS, Swanson WH, Malinovsky VE (2014) Between-subject variability in asymmetry analysis of macular thickness. Optom Vis Sci 91(5):484–490. https://doi.org/10.1097/OPX.0000000000000249
Belin MW, Duncan JK (2016) Keratoconus: the ABCD grading system. Klin Monbl Augenheilkd 233(6):701–707. https://doi.org/10.1055/s-0042-100626
Zhang Y, Li N, Chen J, Wei H, Jiang SM, Chen XM (2017) A new strategy to interpret OCT posterior pole asymmetry analysis for glaucoma diagnosis. Int J Ophthalmol 10(12):1857–1863. https://doi.org/10.18240/ijo.2017.12.11
Nishi T, Ueda T, Mizusawa Y, Semba K, Shinomiya K, Mitamura Y, Sakamoto T, Ogata N (2017) Effect of optical correction on subfoveal choroidal thickness in children with anisohypermetropic amblyopia. PLoS ONE 12(12):e0189735. https://doi.org/10.1371/journal.pone.0189735
Carmichael Martins A, Vohnsen B (2018) Analysing the impact of myopia on the Stiles-Crawford effect of the first kind using a digital micromirror device. Ophthalmic Physiol Opt 38(3):273–280. https://doi.org/10.1111/opo.12441
Pinero DP, Nieto JC, Lopez-Miguel A (2012) Characterization of corneal structure in keratoconus. J Cataract Refract Surg 38(12):2167–2183. https://doi.org/10.1016/j.jcrs.2012.10.022
Bai HX, Mao Y, Shen L, Xu XL, Gao F, Zhang ZB, Li B, Jonas JB (2017) Bruch s membrane thickness in relationship to axial length. PLoS ONE 12(8):e0182080. https://doi.org/10.1371/journal.pone.0182080
Jonas JB, Ohno-Matsui K, Jiang WJ, Panda-Jonas S (2017) Bruch membrane and the mechanism of myopization: a new theory. Retina 37(8):1428–1440. https://doi.org/10.1097/IAE.0000000000001464
Rakshit T, Senapati S, Parmar VM, Sahu B, Maeda A (1864) Park PS (2017) Adaptations in rod outer segment disc membranes in response to environmental lighting conditions. Biochim Biophys Acta Mol Cell Res 10:1691–1702. https://doi.org/10.1016/j.bbamcr.2017.06.013
Schremser JL, Williams TP (1995) Rod outer segment (ROS) renewal as a mechanism for adaptation to a new intensity environment I Rhodopsin levels and ROS length. Exp Eye Res 61(1):17–23. https://doi.org/10.1016/s0014-4835(95)80054-9
Penn JS, Williams TP (1986) Photostasis: regulation of daily photon-catch by rat retinas in response to various cyclic illuminances. Exp Eye Res 43(6):915–928. https://doi.org/10.1016/0014-4835(86)90070-9
Bayraktar Bilen N, Hepsen IF, Arce CG (2016) Correlation between visual function and refractive, topographic, pachymetric and aberrometric data in eyes with keratoconus. Int J Ophthalmol 9(8):1127–1133. https://doi.org/10.18240/ijo.2016.08.07
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Fard, A.M., Patel, S.P., Sorkhabi, R.D. et al. Posterior pole retinal thickness distribution pattern in keratoconus. Int Ophthalmol 40, 2807–2816 (2020). https://doi.org/10.1007/s10792-020-01464-8
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DOI: https://doi.org/10.1007/s10792-020-01464-8