Wąż Piotr, Zorena Katarzyna, Murawska Anna, Bielińska-Wąż Dorota
Department of Nuclear Medicine, Medical University of Gdańsk, 80-210 Gdańsk, Poland.
Department of Immunobiology and Environment Microbiology, Medical University of Gdańsk, 80-210 Gdańsk, Poland.
J Pers Med. 2023 Jun 29;13(7):1074. doi: 10.3390/jpm13071074.
A new diagnostic graphical tool-classification maps-supporting the detection of Age-Related Macular Degeneration (AMD) has been constructed.
The classification maps are constructed using the ordinal regression model. In the ordinal regression model, the ordinal variable (the dependent variable) is the degree of the advancement of AMD. The other variables, such as CRT (Central Retinal Thickness), GCC (Ganglion Cell Complex), MPOD (Macular Pigment Optical Density), ETDRS (Early Treatment Diabetic Retinopathy Study), Snellen and Age have also been used in the analysis and are represented on the axes of the maps.
Here, 132 eyes were examined and classified to the AMD advancement level according to the four-point Age-Related Eye Disease Scale (AREDS): AREDS 1, AREDS 2, AREDS 3 and AREDS 4. These data were used for the creation of two-dimensional classification maps for each of the four stages of AMD.
The maps allow us to perform the classification of the patient's eyes to particular stages of AMD. The pairs of the variables represented on the axes of the maps can be treated as diagnostic identifiers necessary for the classification to particular stages of AMD.
构建了一种支持年龄相关性黄斑变性（AMD）检测的新型诊断图形工具——分类图。
分类图使用有序回归模型构建。在有序回归模型中，有序变量（因变量）是AMD的进展程度。分析中还使用了其他变量，如中央视网膜厚度（CRT）、神经节细胞复合体（GCC）、黄斑色素光密度（MPOD）、糖尿病视网膜病变早期治疗研究（ETDRS）、斯内伦视力表和年龄，并在图的轴上表示。
在此，对132只眼睛进行了检查，并根据四点年龄相关性眼病分级系统（AREDS）将其分类到AMD进展水平：AREDS 1、AREDS 2、AREDS 3和AREDS 4。这些数据用于为AMD的四个阶段中的每个阶段创建二维分类图。
这些图使我们能够将患者的眼睛分类到AMD的特定阶段。图轴上表示的变量对可被视为将其分类到AMD特定阶段所需的诊断标识符。
