Literature DB >> 31351050

Morphological Characteristics and Risk Factors of Myopic Maculopathy in an Older High Myopia Population-Based on the New Classification System (ATN).

Qiuying Chen1, Jiangnan He1, Guangyi Hu1, Xian Xu1, Hanyi Lv2, Yao Yin3, Haidong Zou1, Jianfeng Zhu1, Ying Fan1, Xun Xu4.   

Abstract

PURPOSE: To investigate the characteristics, mergers, and risk factors of different types of myopic maculopathy (MM) in a highly myopic population.
DESIGN: Population-based, cross-sectional study.
METHODS: A total of 1086 eyes (762 patients) were enrolled. Each participant underwent detailed ocular examinations. Combining the fundus photographs and optical coherence tomography images, types of MM were assessed as myopic atrophy maculopathy (MAM), myopic tractional maculopathy (MTM), or myopic neovascular maculopathy (MNM) according to the ATN classification system. Peripapillary atrophy (PPA) area, tilt ratio, and macular choroidal thickness (mChT) were measured individually.
RESULTS: Eyes with larger PPA area were more likely to have MAM (odds ratio [OR], 1.220; P = .037 per 1-mm2 increase) and MNM (OR, 1.723; P < .001 per 1-mm2 increase), and eyes with thicker mChT were less likely to have MAM (OR, 0.740; P < .001 per 10-μm increase) and MNM (OR, 0.784; P < .001 per 10-μm increase), whereas eyes with higher tilt ratio were less likely to have MTM (OR, 0.020; P < .001 per 1 increase). The severity of MTM and MNM was not precisely consistent with that of MAM.
CONCLUSIONS: Different types of MM have different risk factors; larger PPA area and thinner mChT are risk factors for MAM and MNM, whereas lower tilt ratio is a risk factor for MTM. Our results indicate that the pathogenesis of MTM is different from that of MAM and MNM, and a tractional component should be considered as a possible component to the myopic macular classification.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2019        PMID: 31351050     DOI: 10.1016/j.ajo.2019.07.010

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  11 in total

1.  Morphological differences between two types of Bruch's membrane defects in pathologic myopia.

Authors:  Jiamin Xie; Qiuying Chen; Guangyi Hu; Yao Yin; Haidong Zou; Jiangnan He; Jianfeng Zhu; Ying Fan; Xun Xu
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-10-26       Impact factor: 3.117

2.  Combined fovea-sparing internal limiting membrane peeling with internal limiting membrane flap technique for progressive myopic traction maculopathy.

Authors:  Jih-Pin Lin; Chung-May Yang
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-09-03       Impact factor: 3.117

3.  Distribution and association of visual impairment with myopic maculopathy across age groups among highly myopic eyes - based on the new classification system (ATN).

Authors:  Luyao Ye; Qiuying Chen; Guangyi Hu; Jiamin Xie; Hanyi Lv; Ya Shi; Yao Yin; Jianfeng Zhu; Ying Fan; Jiangnan He; Xun Xu
Journal:  Acta Ophthalmol       Date:  2021-10-04       Impact factor: 3.988

4.  Intra- and interobserver concordance of a new classification system for myopic maculopathy.

Authors:  Rong-Rong Zhang; Yan Yu; Yin-Fen Hou; Chang-Fan Wu
Journal:  BMC Ophthalmol       Date:  2021-04-23       Impact factor: 2.209

5.  CORRELATION BETWEEN ATROPHY-TRACTION-NEOVASCULARIZATION GRADE FOR MYOPIC MACULOPATHY AND CLINICAL SEVERITY.

Authors:  Jorge Ruiz-Medrano; Ignacio Flores-Moreno; Kyoko Ohno-Matsui; Chui Ming Gemmy Cheung; Rufino Silva; José M Ruiz-Moreno
Journal:  Retina       Date:  2021-09-01       Impact factor: 4.256

6.  Pathologic myopia and severe pathologic myopia: correlation with axial length.

Authors:  Ignacio Flores-Moreno; Mariluz Puertas; Elena Almazán-Alonso; Jorge Ruiz-Medrano; María García-Zamora; Rocío Vega-González; José M Ruiz-Moreno
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-08-18       Impact factor: 3.117

7.  Automatic Screening and Identifying Myopic Maculopathy on Optical Coherence Tomography Images Using Deep Learning.

Authors:  Xin Ye; Jun Wang; Yiqi Chen; Zhe Lv; Shucheng He; Jianbo Mao; Jiahao Xu; Lijun Shen
Journal:  Transl Vis Sci Technol       Date:  2021-11-01       Impact factor: 3.283

8.  Study on Factors Associated with High Myopia CNV in Aqueous Humor and Serum.

Authors:  Yi Fan Xia; Jing Wei
Journal:  Biomed Res Int       Date:  2022-04-30       Impact factor: 3.246

9.  Development of a deep learning algorithm for myopic maculopathy classification based on OCT images using transfer learning.

Authors:  Xiaoying He; Peifang Ren; Li Lu; Xuyuan Tang; Jun Wang; Zixuan Yang; Wei Han
Journal:  Front Public Health       Date:  2022-09-21

10.  Association between Different Grades of Myopic Tractional Maculopathy and OCT-Based Macular Scleral Deformation.

Authors:  Jingyang Feng; Ruonan Wang; Jiayi Yu; Qiuying Chen; Jiangnan He; Hao Zhou; Yuchen Du; Chen Liu; Weijun Wang; Xun Xu; Xian Xu; Ying Fan
Journal:  J Clin Med       Date:  2022-03-14       Impact factor: 4.241

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