Peripapillary vascular changes in radiation optic neuropathy: an optical coherence tomography angiography grading

2018 ◽  
Vol 102 (9) ◽  
pp. 1238-1243 ◽  
Author(s):  
Raffaele Parrozzani ◽  
Luisa Frizziero ◽  
Davide Londei ◽  
Sara Trainiti ◽  
Rocco Luigi Modugno ◽  
...  

AimsTo investigate peripapillary vascular changes secondary to radiation optic neuropathy (RON) using optical coherence tomography angiography (OCT-A) and to propose a clinical grading of RON based on OCT-A findings.MethodsThirty-four patients affected by RON were consecutively included. Each patient underwent best corrected visual acuity measurement (ETDRS score) and OCT-A (Nidek RS-3000 Advance device, Nidek, Gamagori, Japan). The radial peripapillary capillary plexus (RPCP) and the entire peripapillary capillary bed (EPCB) were analysed. Quantitative analysis of the OCT-A images was performed using open-source available ImageJ software (National Institutes of Health, Bethesda, Maryland, USA). Qualitative analysis based on the proposed clinical grading (Grades 0–4) was also performed by two masked graders.ResultsRON clinical (qualitative) classification based on RPCP correlated with the quantitative RPCP perfusion analysis (P=0.0001). RON clinical classification based on RPCP statistically correlated with ETDRS score (P=0.001). RON clinical classification based on EPCB also correlated with the quantitative EPCB perfusion analysis and ETDRS score (P=0.02 and P=0.01, respectively). Compared with the clinical classification based on EPCB, the qualitative classification based on RPCP reached a higher intergrader agreement (0.96 and 0.86, respectively).ConclusionOCT-A can be used to detect RPCP abnormalities and to clinically classify RON with a high interexaminer agreement. The proposed clinical classification is supported by the quantitative analysis based on the use of specific images elaboration techniques and correlates with visual acuity of the examined eyes.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yun Zhang ◽  
Jia Fang ◽  
Shixin Zhao ◽  
Xiangjun She ◽  
Jun Wang ◽  
...  

Abstract Background Choroidal osteoma is a benign intraocular tumor that can increase risk of developing choroidal neovascularization. The visual prognosis is influenced by the tumor location, decalcification status, overlying RPE atrophy, presence of choroidal neovascularization, persistence of subretinal fluid and occurrence of subretinal hemorrhages. Case presentation The authors present a 40-year-old woman diagnosed with choroidal osteoma of the right eye. Her best corrected visual acuity was 12/20 but decreased to 5/20 due to secondary choroidal neovascularization after 8 years follow up. Fundus examination revealed an enlarged choroidal osteoma in most margins at posterior pole with schistose hemorrhage beside macula. Optical coherence tomography angiography revealed unique features in the vascular changes of choroidal neovascularization in choroidal osteoma in the outer retinal layer and choroid capillary layers, and subretinal neovascularization. Indocyanine green fluorescence angiography showed there was hypo-fluorescence at the peripapillary with faint hyper-fluorescence at the macular, corresponding to the location on the fundus photograph. The patient received 3 injections of intravitreal ranibizumab. After 1 year follow up, her visual acuity of the right eye was 18/20 and the CNV had regressed. Conclusions We present the findings and treatment of a case of choroidal osteoma with secondary choroidal neovascularization. Optical coherence tomography angiography combined with FFA and ICGA is used to analysis the characteristics of secondary choroidal neovascularization. Optical coherence tomography angiography can reveal some unique characteristics in the vascular changes compared to fundus fluorescein angiography.


2018 ◽  
Vol 10 (1) ◽  
pp. 356 ◽  
Author(s):  
Bingyao Tan ◽  
Jacqueline Chua ◽  
Veluchamy Amutha Barathi ◽  
Mani Baskaran ◽  
Anita Chan ◽  
...  

2020 ◽  
Vol 7 (2) ◽  
pp. 29
Author(s):  
MennatallahG. A. Saleh ◽  
MohamedTarek Abdelmoneim ◽  
Abdelsalam Abdalla ◽  
Mohamed Sharaf ◽  
MohamedG. A. Saleh

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