Latest Issue
      2022 Year 03 Issue
      • Yuhang Zhang, Ying Qi, Xiaohang Xie, Fengyan Zhang
        2022, 2(03): 100063. DOI: 10.1016/j.aopr.2022.100063
        Abstract：PurposeThe effect of interventional time for 3% Diquafosol reatment in post-cataract surgery has not been well established. A meta-analysis was performed to evaluate the improvement of ocular surface condition in post-cataract surgery patients who received 3% DQS for various treatment durations.  
        Keywords：Diquafosol; Cataract surgery; Ocular surface; Meta-analysis   
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        Published：2023-10-19
      • Xintong Xu, Lindan Xie, Lili Wei, Meixuan Li, Hao Wang, Huanfen Zhou, Mingming Sun, Mo Yang, Quangang Xu, Kehu Yang, Shihui Wei
        2022, 2(03): 100064. DOI: 10.1016/j.aopr.2022.100064
        Abstract：BackgroundMonoclonal antibodies such as rituximab (RTX), eculizumab, inebilizumab, satralizumab, and tocilizumab have been found to be effective therapies for neuromyelitis optica spectrum disease ​(NMOSD) in several clinical randomized controlled trials.  
        Keywords：NMOSD; Randomized controlled trials; Monoclonal antibody; Meta-analysis; Free-relapse; Adverse events   
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        Published：2023-10-19
      • Jie Wang, Ergang Du, FeiFei Li, Yunliang Zheng
        2022, 2(03): 100065. DOI: 10.1016/j.aopr.2022.100065
        Abstract：PurposeTo observe the expression differences and potential effects of autophagy-related Beclin1 (mammalian Atg6) and Uncoordinated-51 like kinase 1 (ULK1) in the oxygen-induced retinopathy (OIR) model.  
        Keywords：Retinopathy of prematurity; Autophagy; Retina; Beclin1; Uncoordinated-51 like kinase 1 (ULK1)   
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        Published：2023-10-19
      • Linyan Wang, Hong Fang, An Shao, Huina Zhang, Juan Ye
        2022, 2(03): 100066. DOI: 10.1016/j.aopr.2022.100066
          
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        Published：2023-10-19
      • Lixia Lou, Yijie Wang, Bingren Zhang, Yanli Jia, Wei Wang, Juan Ye
        2022, 2(03): 100075. DOI: 10.1016/j.aopr.2022.100075
        Abstract：PurposePhantom eye pain (PEP) is a major clinical problem after eye removal with no standard treatment protocol to date. As pain is a multidimensional experience associated with emotional and cognitive components, this study aimed to explore the possible neuropsychological mechanisms of PEP in a perspective of emotional cognition, in order to provide a basis for clinical treatment.  
        Keywords：Phantom eye pain; Event-related potentials; External emotions; Affective states   
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        Published：2023-10-19
      • Raquel Maroto Cejudo, Cristina Blanco Marchite, Teresa Prieto Morán, Sergio Copete Piqueras
        2022, 2(03): 100076. DOI: 10.1016/j.aopr.2022.100076
        Abstract：PurposeTo analyse the differences between 30° blue autofluorescence (BAF30), 55° blue autofluorescence (BAF55) and 200° green Ultra-Wide Field autofluorescence (UWF200) imaging to detect retinal displacement (RD) after vitrectomy surgery for rhegmatogenous retinal detachment (RRD).  
        Keywords：Blue fundus autofluorescence; Green fundus autofluorescence; Rhegmatogenous retinal detachment; Retinal displacement; Retinal vessel printings   
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        Published：2023-10-19
      • Junxia Fu, Lvchen Cao, Shihui Wei, Ming Xu, Yali Song, Huiqi Li, Yuxia You
        2022, 2(03): 100077. DOI: 10.1016/j.aopr.2022.100077
        Abstract：ObjectiveDue to limited imaging conditions, the quality of fundus images is often unsatisfactory, especially for images photographed by handheld fundus cameras. Here, we have developed an automated method based on combining two mirror-symmetric generative adversarial networks (GANs) for image enhancement.  
        Keywords：Generative adversarial networks (GANs); Retinal image; Quality; Handheld fundus cameras   
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        Published：2023-10-19
      • Kai Jin, Juan Ye
        2022, 2(03): 100078. DOI: 10.1016/j.aopr.2022.100078
        Abstract：BackgroundThe ophthalmology field was among the first to adopt artificial intelligence (AI) in medicine. The availability of digitized ocular images and substantial data have made deep learning (DL) a popular topic.  
        Keywords：Artificial intelligence; Deep learning; Ophthalmology; Diabetic retinopathy; Glaucoma; Age-related macular degeneration   
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        Published：2023-10-19
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