视网膜
医学
阶段(地层学)
眼科
新生血管
视网膜
血管生成
内科学
光学
生物
古生物学
物理
作者
M. A. Kovalevskaya,Oxana Pererva
标识
DOI:10.1111/j.1755-3768.2022.0150
摘要
Abstract Purpose: to develop criteria for quantitative analysis of the treatment result of plus‐disease in ROP. Methods: 3126 RetCam images of ROP 448(896 eyes) were divided into 5 groups 1‐I stage 312(624 eyes), 2‐II stage 96(192 eyes), 3‐III stage 17(34 eyes), 4‐posterior aggressive ROP 23(46 eyes), 5‐retinal immaturity 60(120 eyes). Images of 16 patients who underwent laser coagulation due to the presence of a plus‐disease were automatically modelled on the “Key to Diagnosis I" platform. The fractal dimension (Df) and complexity of vascular system(CVS) of wide‐field images were analysed. CVS was 1 (A) for immature network, 2 (B) normal vascular system, 3 (C) neovascularization. Results: The efficiency of the module for automatic modelling of wide‐field retinal images has been proven on two RetCam bases. Statistically significant differences were obtained in the plus‐disease before and after the treatment. Df before treatment 1.426 ± 0.009, after 1.395 ± 0.01, CVS before 2.5 ± 0.16, after 2.1 ± 0.1. Any calculations and measurements (including the thickness of the retina) cannot reflect all the features of the development of the young neovascular net, so we propose a register of CVS. Along with the Df, this general indicator brings it closer to the stage of the ROP process [1]. Conclusions: Df and CVS ‐ general criteria for selective choice of plus disease treatment. But the current estimation of the specified parameters is based on the configuration of the wide‐field images. Acknowledgment: to Rascheskov A. PhD and the head of “Children's Republican Clinical Hospital of Tatarstan” Zaitdinov A. References 1. Pererva O, Kovalevskaya M. Approaches to the accuracy in ROP diagnosis. Investigative Ophthalmology&Visual Science 62.8(2021):3245–3245.
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