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The Shortest Radius of Curvature of Bruch’s Membrane in Macular Optical Coherence Tomography
황반부 빛간섭단층촬영 영상을 이용한 브루크막 최소 곡률반경 측정
JKOS 2019 Sep;60(9):867-73
Published online September 15, 2019;  https://doi.org/10.3341/jkos.2019.60.9.867
Copyright © 2019 The Korean Ophthalmological Society.
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Hui Kyung Kim, MD1,2, Sun Ho Park, MD1,2, Jae Jung Lee, MD1,2, Han Jo Kwon, MD1,2, Keun Heung Park, MD1,2, Sung Who Park, MD, PhD1,2, Ji Eun Lee, MD, PhD1,2
김휘경1,2 · 박선호1,2 · 이재정1,2 · 권한조1,2 · 박건형1,2 · 박성후1,2 · 이지은1,2

Department of Ophthalmology, Pusan National University School of Medicine1, Yangsan, Korea
Research Institute, Pusan National University Hospital2, Pusan, Korea
부산대학교 의과대학 안과학교실1, 부산대학교병원 의생명연구원2
Received February 28, 2019; Revised March 27, 2019; Accepted August 16, 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
 Abstract
Purpose: To develop software to measure the shortest radius in curvature of Bruch’s membrane from optical coherence tomography (OCT), and then to apply it to various types of eyes.
Methods: Macular OCT images consisting of 12 images of 9 mm radial scans were studied. The horizontal to vertical pixel ratios were changed to 1:1, and Bruch’s membrane was marked automatically on each image. Software to measure the radius of Bruch’s membrane curvature was developed. The shortest radius on each image was defined as r (mm) and the average r of 12 images was defined as R (mm). The reciprocal of R was multiplied by the constant, 337.5, which was defined as the posterior staphyloma (PS) index.
Results: The OCT images of five eyes were analyzed by the software, which could calculate the curvature of Bruch’s membrane automatically. The PS indices were 12.7, 23.7, and 66.4 in eyes without refractive error (Case I), in the high myopic group without posterior staphyloma (Case II), and in the high myopic group with posterior staphyloma (Case V), respectively. The PS index gradually increased according to aging in a 37-year-old patient (Case IV) with mild staphyloma from 34.6 to 39.5 over 4 years.
Conclusions: PS index is a novel parameter to reflect the level of posterior staphyloma, but further studies are needed to apply it to clinical patients.
Keywords : Bruch’s membrane, Curvature, Myopia, Optical coherence tomography, Posterior staphyloma

 

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