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Using a combination of peripapillary atrophy area and choroidal thickness for the prediction of different types of myopic maculopathy

Eye volume 37, pages 2801–2809 (2023)Cite this article

Subjects

Abstract

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.

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Fig. 1: Representative fundus photographs and swept-source OCT image for each type of MM.
Fig. 2: The Topographic characteristics of macular choroid layer thickness in all sectors.

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Data availability

Correspondence and requests for data materials should be addressed to Jia He.

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Acknowledgements

This study was funded by Shanghai Public Health System Three-Year Plan Personnel Construction Subjects (Project No.GWV-10.2-YQ40, GWV-10.1-XK7) Shanghai Shenkang Hospital Clinical Research Program (Project No. SHDC12019X18). The sponsors or funding organizations had no role in the design or conduct of this research. The authors had no proprietary or commercial interest in any materials discussed in this manuscript. All authors attest that they meet the current ICMJE criteria for authorship.

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Authors and Affiliations

  1. School of Medicine, Tongji University, Shanghai, China

    Jiangnan He & Jia He

  2. Department of Preventative Ophthalmology, Shanghai Eye Disease Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, China

    Jiangnan He, Luyao Ye, Chen Chu, Qiuying Chen, Dandan Sun, Jiamin Xie, Guangyi Hu, Ya Shi, Ying Fan, Jianfeng Zhu & Xun Xu

  3. Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University, National Clinical Research Center for Eye Diseases, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai engineering center for precise diagnosis and treatment of eye diseases, Shanghai, China

    Jiangnan He, Luyao Ye, Chen Chu, Qiuying Chen, Dandan Sun, Jiamin Xie, Guangyi Hu, Ya Shi, Ying Fan, Jianfeng Zhu & Xun Xu

  4. Department of Health Statistics, Second Military Medical University, Shanghai, China

    Jia He

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Contributions

JH, LY, CC, QC, DS, JX, YF, JZ, XX, and JH were involved in the study design and conduct. JH, GH, YS, QC, YY, LY, HZ, and JH were involved in data collection, management, and analysis. JH and LY interpreted the data. JH, LY, QC, and YF were involved in manuscript preparation, review, or approval.

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Correspondence to Jia He.

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Ethics statement

The study was designed following the ethical standards of the Declaration of Helsinki and approved by the ethical committee of Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai, China.

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He, J., Ye, L., Chu, C. et al. Using a combination of peripapillary atrophy area and choroidal thickness for the prediction of different types of myopic maculopathy. Eye 37, 2801–2809 (2023). https://doi.org/10.1038/s41433-023-02423-0

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