Kemp Pavlina S, VanderVeen Deborah K
a Department of Ophthalmology , Boston Children's Hospital , Boston , Massachusetts , USA.
Semin Ophthalmol. 2016;31(1-2):159-62. doi: 10.3109/08820538.2015.1114859.
The objective of this study is to review the current state and role of computer-assisted analysis in diagnosis of plus disease in retinopathy of prematurity. Diagnosis and documentation of retinopathy of prematurity are increasingly being supplemented by digital imaging. The incorporation of computer-aided techniques has the potential to add valuable information and standardization regarding the presence of plus disease, an important criterion in deciding the necessity of treatment of vision-threatening retinopathy of prematurity. A review of literature found that several techniques have been published examining the process and role of computer aided analysis of plus disease in retinopathy of prematurity. These techniques use semiautomated image analysis techniques to evaluate retinal vascular dilation and tortuosity, using calculated parameters to evaluate presence or absence of plus disease. These values are then compared with expert consensus. The study concludes that computer-aided image analysis has the potential to use quantitative and objective criteria to act as a supplemental tool in evaluating for plus disease in the setting of retinopathy of prematurity.
本研究的目的是回顾计算机辅助分析在早产儿视网膜病变中附加病变诊断方面的现状及作用。早产儿视网膜病变的诊断和记录越来越多地借助数字成像技术。计算机辅助技术的应用有可能为附加病变的存在提供有价值的信息并实现标准化，附加病变是决定是否有必要治疗威胁视力的早产儿视网膜病变的一项重要标准。文献综述发现，已有数种技术发表，探讨了计算机辅助分析早产儿视网膜病变附加病变的过程及作用。这些技术使用半自动图像分析技术来评估视网膜血管的扩张和迂曲情况，通过计算参数来评估附加病变的有无。然后将这些值与专家共识进行比较。该研究得出结论，计算机辅助图像分析有潜力利用定量和客观标准，作为评估早产儿视网膜病变时附加病变的辅助工具。
