Department of Ophthalmology, Baskent University Istanbul Hospital, Kısıklı Caddesi Oymacı Sokak No: 7, 34662, Üsküdar Istanbul, Turkey.
Department of Ophthalmology, Faculty of Medicine, Baskent University, Ankara, Turkey.
Int Ophthalmol. 2022 Sep;42(9):2925-2932. doi: 10.1007/s10792-022-02423-1. Epub 2022 Jul 25.
To grade myopic choroidal neovascularization (CNV) patients according to the new myopic maculopathy classification (A: atrophy, T: traction, N: neovascularization-ATN) and analyze the correlation in between atrophy, traction and neovascularization.
Fifty-one eyes of 41 patients with the diagnosis of pathologic myopia and myopic CNV were included in this clinical practice study. Patients were graded according to the recently described ATN classification. Color fundus photographs were used to grade the atrophy and spectral domain optical coherence tomography scans were used to grade traction and neovascularization. Active myopic CNVs were treated with intravitreal anti-vascular endothelial growth factor (VEGF) injections. Chi-square test was used to test the categorical variants and univariate logistic regression analysis was used to predict the independent risk factors of myopic CNV scar formation.
Active myopic CNV was observed most frequently in the group with patchy chorioretinal atrophy. Grade of the atrophy and female gender were significantly associated with myopic CNV scar in the univariate logistic regression tests. Multivariate logistic regression showed that atrophy grading is the independent predictor of myopic CNV scar.
ATN classification is a practical and comprehensive system to grade myopic CNV. Atrophy is an independent predictor for myopic CNV scar and patchy chorioretinal atrophy requires a more careful examination and close follow-up for the risk of CNV development.
根据新的近视性黄斑病变分类(A:萎缩,T:牵引,N:新生血管性-ATN)对近视性脉络膜新生血管(CNV)患者进行分级,并分析萎缩、牵引和新生血管之间的相关性。
本临床实践研究纳入了 41 例病理性近视和近视性 CNV 患者的 51 只眼。患者根据最近描述的 ATN 分类进行分级。使用彩色眼底照片对萎缩进行分级,使用频域光相干断层扫描对牵引和新生血管进行分级。对活动性近视性 CNV 采用玻璃体内抗血管内皮生长因子(VEGF)注射治疗。卡方检验用于检验分类变量,单变量逻辑回归分析用于预测近视性 CNV 瘢痕形成的独立危险因素。
在斑片状脉络膜视网膜萎缩组中,观察到最活跃的近视性 CNV。在单变量逻辑回归检验中,萎缩分级和女性性别与近视性 CNV 瘢痕显著相关。多变量逻辑回归显示,萎缩分级是近视性 CNV 瘢痕的独立预测因子。
ATN 分类是一种实用且全面的近视性 CNV 分级系统。萎缩是近视性 CNV 瘢痕的独立预测因子,斑片状脉络膜视网膜萎缩需要更仔细的检查和密切随访,以警惕 CNV 的发生。