Purpose

To analyse the topographic characteristics in macular choroidal thickness (mChT) and ocular biometry in myopic maculopathy and to explore the potential cut-off value for prediction of myopic maculopathy (MM).

Methods

All participants underwent detailed ocular examinations. MM was subdivided into thin choroid, Bruch’s membrane (BM) defects, choroidal neovascularization (CNV), and myopic tractional maculopathy (MTM) according to OCT-based classification system. Peripapillary atrophy area (PPA), tilt ratio, torsion, and mChT were individually measured.

Results

A total of 1947 participants were included. In multivariate logistics models, older age, longer axial length, larger PPA area, and thinner average mChT were more likely to have MM and different type of MM. Female participants were more likely to have MM and BM defects. A lower tilt ratio was more likely to be associated with CNV and MTM. The area under the curve (AUC) of single tilt ratio, PPA area, torsion, and topographic of mChT for MM, thin choroid, BM Defects, CNV, and MTM were 0.6581 to 0.9423, 0.6564 to 0.9335, 0.6120 to 0.9554, 0.5734 to 0.9312, 0.6415 to 0.9382, respectively. After combining PPA area and average mChT for predicting MM, thin choroid, BM defects, CNV, and MTM, the AUC of the combination were 0.9678, 0.9279, 0.9531, 0.9213, 0.9317, respectively.

Conclusion

Progressive and continuous PPA area expanding and thin choroid play a role in the development of myopic maculopathy. The present study showed that a combination of peripapillary atrophy area and the choroidal thickness could be used to predict MM and each type of MM.

中文翻译：

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结合视乳头周围萎缩面积和脉络膜厚度预测不同类型的近视性黄斑病变

目的

分析近视性黄斑病变的黄斑脉络膜厚度 (mChT) 和眼部生物测量的地形特征，并探索预测近视性黄斑病变 (MM) 的潜在临界值。

方法

所有参与者都接受了详细的眼部检查。根据基于 OCT 的分类系统，MM 被细分为薄脉络膜、布鲁赫膜 (BM) 缺损、脉络膜新生血管 (CNV) 和近视牵拉性黄斑病变 (MTM)。分别测量 Peripapillary 萎缩面积 (PPA)、倾斜比、扭转和 mChT。

结果

总共包括 1947 名参与者。在多变量物流模型中，年龄越大、轴长越长、PPA 面积越大和平均 mChT 越薄，更有可能患有 MM 和不同类型的 MM。女性参与者更有可能有 MM 和 BM 缺陷。较低的倾斜率更可能与 CNV 和 MTM 相关。MM、薄脉络膜、BM 缺陷、CNV 和 MTM 的单一倾斜比、PPA 面积、扭转和地形图的曲线下面积 (AUC) 分别为 0.6581 至 0.9423、0.6564 至 0.9335、0.6120 至 0.9554、0.5734 至分别为 0.9312、0.6415 至 0.9382。在结合 PPA 面积和平均 mChT 预测 MM、薄脉络膜、BM 缺陷、CNV 和 MTM 后，组合的 AUC 分别为 0.9678、0.9279、0.9531、0.9213、0.9317。

结论

进行性和持续的PPA面积扩大和脉络膜变薄在近视性黄斑病的发展中发挥作用。本研究表明，视乳头周围萎缩面积和脉络膜厚度的组合可用于预测 MM 和每种类型的 MM。