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Myopia

Patterns of Choroidal Deepening in Highly Myopic Eyes with Dome-Shaped Macula

, , , , & ORCID Icon
Pages 1017-1023 | Received 15 Aug 2019, Accepted 19 Dec 2019, Published online: 27 Dec 2019
 

ABSTRACT

Purpose

To investigate the patterns and characteristics of choroidal deepening (CD) in highly myopic eyes with a dome-shaped macula (DSM).

Methods

A retrospective analysis of vertical and horizontal optical coherence tomography (OCT) scans across the central fovea was conducted. An inward bulge greater than 50μm at either the vertical or horizontal OCT images of the macula was defined as DSM and was analyzed.

Results

Among the 155 eyes, a vertical oval-shaped DSM was present in eight eyes (5.16%), a horizontal oval-shaped in 102 eyes (65.81%), and a round DSM in 45 eyes (29.03%). Vertical oval-shaped DSM exhibited the longest axial length (AL) and the largest dome base among the three types (P < .05). The CD in DSM was classified into three distinct patterns: sub-dome choroidal deepening (SDCD), peri-dome choroidal deepening (PDCD), and the absence of CD according to the ratio of peri-dome choroidal thickness (CT) to sub-dome CT. Overall, no significant difference was found in age, AL, best corrected visual acuity (BCVA), dome base, dome height and choroidal vascularity among the three patterns of CD. However, the eyes with SDCD showed the thickest CT and the largest total choroidal area and vascular area.

Conclusions

Three morphological patterns of CD were found in highly myopic eyes with DSM. These three patterns should be considered when discussing CT in highly myopic eyes.

Conflicts of Interest

None of the authors has financial or other conflicts of interest concerning this study.

Additional information

Funding

This study was supported by the Natural Science Foundation of Guangdong province of China [2018A030310232, 18zxxt72], Fundamental Research Funds of the State Key Laboratory of Ophthalmology, National Natural Science Foundation of China [81570862], Guangzhou Science and Technology Project [2014Y2-00064] and [201803010031], Guangdong Provincial Science and Technology Grant [2016A020215096].

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