Evolution of macular Bruch Membrane Defects (BMD) of Patchy Chorioretinal Atrophy in Pathologic Myopia based on a recent classification system (ATN).

2021 ◽  
Author(s):  
José M. Ruiz-Moreno ◽  
Mariluz Puertas ◽  
Ignacio Flores-Moreno ◽  
Jorge Ruiz-Medrano ◽  
Elena Almazán-Alonso ◽  
...  
Keyword(s):  
Classification System ◽  
Pathologic Myopia ◽  
Chorioretinal Atrophy ◽  
Membrane Defects ◽  
Recent Classification

CLINICAL FEATURES OF PATCHY CHORIORETINAL ATROPHY IN PATHOLOGIC MYOPIA

Retina ◽  
2020 ◽  
Vol 40 (5) ◽  
pp. 951-959 ◽  
Author(s):  
Ran Du ◽  
Yuxin Fang ◽  
Jost B. Jonas ◽  
Tae Yokoi ◽  
Hiroyuki Takahashi ◽  
...  
Keyword(s):  
Clinical Features ◽  
Pathologic Myopia ◽  
Chorioretinal Atrophy

scholarly journals Chorioretinal Atrophy after Spontaneous Resolution of Myopic Foveoschisis

2014 ◽  
Vol 2014 ◽  
pp. 1-4
Author(s):  
Antonio García-Ben ◽  
José Manuel García-Campos ◽  
María José Morillo Sanchez ◽  
Laura Cristina Figueroa-Ortiz
Keyword(s):  
Medical Literature ◽  
Surgical Intervention ◽  
Spontaneous Resolution ◽  
Imaging Modalities ◽  
Pathologic Myopia ◽  
Natural Evolution ◽  
Myopic Foveoschisis ◽  
Chorioretinal Atrophy ◽  
Visual Improvement ◽  
Major Complications

Myopic foveoschisis is one of the major complications of pathologic myopia, and it was most recently identified by new imaging modalities. During the natural evolution of this complication, anatomical and visual improvement without surgical intervention is an unusual course, and most of these eyes remain stable or progressively worsen. The authors report a case of a highly myopic eye that developed patchy chorioretinal atrophy after spontaneous resolution of myopic foveoschisis, which to the best of our knowledge has not been reported previously in the medical literature.

Factors associated with the development of chorioretinal atrophy around choroidal neovascularization in pathologic myopia

2003 ◽  
Vol 242 (2) ◽  
pp. 114-119 ◽  
Author(s):  
Ariko Kojima ◽  
Kyoko Ohno-Matsui ◽  
Satoshi Teramukai ◽  
Takeshi Yoshida ◽  
Yoko Ishihara ◽  
...  
Keyword(s):  
Choroidal Neovascularization ◽  
Pathologic Myopia ◽  
Factors Associated ◽  
Chorioretinal Atrophy

Peripapillary Diffuse Chorioretinal Atrophy in Children as a Sign of Eventual Pathologic Myopia in Adults

Ophthalmology ◽  
2016 ◽  
Vol 123 (8) ◽  
pp. 1783-1787 ◽  
Author(s):  
Tae Yokoi ◽  
Jost B. Jonas ◽  
Noriaki Shimada ◽  
Natsuko Nagaoka ◽  
Muka Moriyama ◽  
...  
Keyword(s):  
Pathologic Myopia ◽  
Chorioretinal Atrophy

scholarly journals Automatic identification of myopic maculopathy related imaging features in optic disc region via machine learning methods

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yuchen Du ◽  
Qiuying Chen ◽  
Ying Fan ◽  
Jianfeng Zhu ◽  
Jiangnan He ◽  
...  
Keyword(s):  
Machine Learning ◽  
Optic Disc ◽  
Early Stage ◽  
Image Features ◽  
Pathologic Myopia ◽  
High Risk Population ◽  
Imaging Features ◽  
Chorioretinal Atrophy ◽  
Disc Region ◽  
Myopic Maculopathy

Abstract Background Myopic maculopathy (MM) is the most serious and irreversible complication of pathologic myopia, which is a major cause of visual impairment and blindness. Clinic proposed limited number of factors related to MM. To explore additional features strongly related with MM from optic disc region, we employ a machine learning based radiomics analysis method, which could explore and quantify more hidden or imperceptible MM-related features to the naked eyes and contribute to a more comprehensive understanding of MM and therefore may assist to distinguish the high-risk population in an early stage. Methods A total of 457 eyes (313 patients) were enrolled and were divided into severe MM group and without severe MM group. Radiomics analysis was applied to depict features significantly correlated with severe MM from optic disc region. Receiver Operating Characteristic were used to evaluate these features’ performance of classifying severe MM. Results Eight new MM-related image features were discovered from the optic disc region, which described the shapes, textural patterns and intensity distributions of optic disc region. Compared with clinically reported MM-related features, these newly discovered features exhibited better abilities on severe MM classification. And the mean values of most features were markedly changed between patients with peripapillary diffuse chorioretinal atrophy (PDCA) and macular diffuse chorioretinal atrophy (MDCA). Conclusions Machine learning and radiomics method are useful tools for mining more MM-related features from the optic disc region, by which complex or even hidden MM-related features can be discovered and decoded. In this paper, eight new MM-related image features were found, which would be useful for further quantitative study of MM-progression. As a nontrivial byproduct, marked changes between PDCA and MDCA was discovered by both new image features and clinic features.

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