Retinal pigment epithelial detachment associated with retinal pigment epithelium thinning revealed by optical coherence tomography

2015 ◽  
Vol 59 (5) ◽  
pp. 305-311 ◽  
Author(s):  
Satoko Notani ◽  
Ryusaburo Mori ◽  
Mitsuko Yuzawa ◽  
Akiyuki Kawamura
Keyword(s):  
Optical Coherence Tomography ◽  
Retinal Pigment Epithelium ◽  
Retinal Pigment Epithelial ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Pigment Epithelial Detachment ◽  
Optical Coherence ◽  
Retinal Pigment Epithelial Detachment ◽  
Pigment Epithelial

Correction to: Diagnostic Performance of Fundus Autofluorescence for Detecting Polypoidal Choroidal Vasculopathy

2021 ◽  
Vol 104 (5) ◽  
pp. 886
Keyword(s):  
Optical Coherence Tomography ◽  
Double Layer ◽  
Retinal Pigment Epithelial ◽  
Retinal Pigment ◽  
Clinical Signs ◽  
Retinal Diseases ◽  
Pigment Epithelial Detachment ◽  
Optical Coherence ◽  
Retinal Pigment Epithelial Detachment ◽  
Pigment Epithelial

The author has informed the editor to correct the legend of figure and word in the article as follow: Incorrect legend of figure in the article: Figure 2. Optical coherence tomography of clinical signs of PCV: (A) steep pigment epithelial detachment (sPED); (B) notched pigment epithelial detachment (nPED); (C) double-layer sign (DLS); and (D) hyporeflective lumen, with retinal pigment epithelial detachment. Correct legend of figure: Figure 2. Optical coherence tomography of clinical signs of PCV: (A) steep pigment epithelial detachment (sPED); (B) double-layer sign (DLS); (C) notched pigment epithelial detachment (nPED); and (D) hyporeflective lumen, with retinal pigment epithelial detachment. Incorrect word in the article: What is already known on this topic? FAF is an invasive investigation aimed for RPE evaluation that is used widely in many retinal diseases. Correct word: What is already known on this topic? FAF is a non-invasive investigation aimed for RPE evaluation that is used widely in many retinal diseases.

scholarly journals Outcomes of Retinal Pigment Epithelial Detachment in Vogt-Koyanagi-Harada Disease

2022 ◽  
Author(s):  
Xiaomin Zhang ◽  
Chuanzhen Zheng ◽  
Kaixuan Wang ◽  
Kailei Guo ◽  
Qingqin Tao ◽  
...  
Keyword(s):  
Retinal Pigment Epithelial ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Subsequent Development ◽  
Corticosteroid Treatment ◽  
Pigment Epithelial Detachment ◽  
Retinal Pigment Epithelial Detachment ◽  
Pigment Epithelial ◽  
Corrected Visual Acuity ◽  
Edge Points

Abstract IntroductionThe aim of this study was to report the clinical profile and outcomes of retinal pigment epithelial detachment (PED) in Vogt-Koyanagi-Harada (VKH) disease, and to evaluate the correlation between PED and the subsequent development of central serous chorioretinopathy (CSC) throughout the whole corticosteroid treatment course.materials and methodsA total of 470 eyes with VKH were reviewed, and 12 eyes with VKH and PED were recruited. Patients were divided into two groups according to the CSC onset or not throughout the whole course (CSC group and non-CSC group). Best-corrected visual acuity (BCVA) improvement, and PED angle (PEDA, the angle between the two lines of the vertex of the lifted retinal pigment epithelium to the two edge points of the Bruch membrane) were compared between the two groups.ResultsThe prevalence of PED and CSC in VKH was 2.55% (12/470) and 1.06% (5/470), respectively. BCVA improvement in the non-CSC group was greater than that in the CSC group, but without a statistical difference (P=0.25). PEDA was significantly smaller in the CSC group than in the non-CSC group (P=0.03).DiscussionPEDA is an ideal parameter to reflect hydrostatic pressure and stretches for RPE. As PED predisposes to the development of CSC in selected VKH eyes, PEDA may be a valuable predictive factor for the development of CSC in VKH patients.

scholarly journals Modern trends in diagnostics and prediction of results of anti-vascular endothelial growth factor therapy of pigment epithelial detachment in neovascular agerelated macular degeneration using deep machine learning method (literature review)

2021 ◽  
Vol 6 (6-1) ◽  
pp. 190-203
Author(s):  
E. V. Kozina ◽  
S. N. Sakhnov ◽  
V. V. Myasnikova ◽  
E. V. Bykova ◽  
L. E. Aksenova
Keyword(s):  
Machine Learning ◽  
Optical Coherence Tomography ◽  
Macular Degeneration ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Age Related Macular Degeneration ◽  
Pigment Epithelial Detachment ◽  
Optical Coherence ◽  
Pigment Epithelial ◽  
Anti Vegf

Detachment of the pigment epithelium is the separation of the basement membrane of the retinal pigment epithelium from the inner collagen layer of Bruch’s membrane, which occurs in 80 % of cases in patients with neovascular age-related macular degeneration. The outcome of anti-VEGF therapy for pigment epithelial detachment may be adherence of the pigment epithelium, the formation of pigment epithelium tear, or preservation of the detachment. The pigment epithelium tear of 3–4th degrees can lead to a sharp decrease in visual acuity.Most retrospective studies confi rm the absence of a proven correlation between anatomical and functional outcomes in the treatment of pigment epithelial detachment in cases of maintaining the integrity of the pigment epithelium monolayer, and therefore the main attention of researchers is focused on studying the morphological features of pigment epithelial detachment during therapy with angiogenesis inhibitors. Modern technologies of spectral optical coherence tomography make it possible to evaluate detailed quantitative parameters of pigment epithelium detachment, such as height, width, maximum linear diameter, area, volume and refl ectivity within the detachment.Groups of Russian and foreign authors identify various biomarkers recorded on optical coherence tomography images. Dynamic registration of such biomarkers expands the ability of clinicians to predict morphological changes in pigment epithelial detachment during anti-VEGF therapy, as well as to optimize treatment regimens to prevent complications in the form of pigment epithelium tear leading to a decrease in visual acuity.Modern methods of deep machine learning and the use of neural networks allow achieving higher accuracy in diff erentiating the types of retinal fluids and automating the quantitative determination of fl uid under the pigment epithelium. These technologies allow achieving a high level of compliance with manual expert assessment and increasing the accuracy and speed of predicting morphological results of treatment of pigment epithelium detachments.

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