Literature DB >> 27820633

Retinal Microvasculature Alteration in High Myopia.

Ye Yang1, Jianhua Wang2, Hong Jiang2, Xiaoling Yang3, Limiao Feng3, Liang Hu1, Liang Wang4, Fan Lu3, Meixiao Shen3.   

Abstract

PURPOSE: To investigate the retinal vascular network alterations in highly myopic eyes.
METHODS: Thirty-three highly myopic eyes from 21 subjects and 47 mildly myopic or emmetropic eyes from 24 healthy control subjects were enrolled. Optical coherence tomography angiography (OCTA) was used to image the superficial, deep, and whole retinal vascular plexuses at the macular region. Highly myopic eye images were analyzed after adjusting the ocular magnification using Bennett's formula. Fractal analysis (box counting method, Dbox) representing vessel density was performed in different annular and quadrantile zones of both large vessels and microvessels. Correlations between the vascular density, axial length, and spherical equivalent refractive error were analyzed.
RESULTS: The average density (Dbox) of the superficial retinal annular zone (0.6-2.5 mm) microvessels was 1.741 ± 0.018 in highly myopic eyes and was shown to be significantly lower than that of the controls (1.773 ± 0.010, P < 0.001). Individual annular zone (bandwidth of 0.16 mm) analysis of highly myopic eyes revealed a significant level of microvessel alteration in all zones compared with the same zones in control eyes (P < 0.001). Furthermore, in the highly myopic group, the microvessel density was significantly correlated with axial length elongation in all three layers (r = -0.38 to -0.48; P < 0.05).
CONCLUSIONS: This study reveals retinal microvascular network alterations in highly myopic eyes, which correlates with axial length elongation. Fractal analysis of the microvasculature by OCTA images may help to characterize the underlying pathophysiological mechanisms involved in high myopia.

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Year:  2016        PMID: 27820633     DOI: 10.1167/iovs.16-19542

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


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