Using choroidal thickness to detect myopic macular degeneration
- PMID: 38371267
- PMCID: PMC10827620
- DOI: 10.18240/ijo.2024.02.14
Using choroidal thickness to detect myopic macular degeneration
Abstract
Aim: To explore the usage of choroidal thickness measured by swept-source optical coherence tomography (SS-OCT) to detect myopic macular degeneration (MMD) in high myopic participants.
Methods: Participants with bilateral high myopia (≤-6 diopters) were recruited from a subset of the Guangzhou Zhongshan Ophthalmic Center-Brien Holden Vision Institute High Myopia Cohort Study. SS-OCT was performed to determine the choroidal thickness, and myopic maculopathy was graded by the International Meta-Analysis for Pathologic Myopia (META-PM) Classification. Presence of MMD was defined as META-PM category 2 or above.
Results: A total of 568 right eyes were included for analysis. Eyes with MMD (n=106, 18.7%) were found to have older age, longer axial lengths (AL), higher myopic spherical equivalents (SE), and reduced choroidal thickness in each Early Treatment Diabetic Retinopathy Study (ETDRS) grid sector (P<0.001). The area under the receiver operating characteristic (ROC) curves (AUC) for subfoveal choroidal thickness (0.907) was greater than that of the model, including age, AL, and SE at 0.6249, 0.8208, and 0.8205, respectively. The choroidal thickness of the inner and outer nasal sectors was the most accurate indicator of MMD (AUC of 0.928 and 0.923, respectively). An outer nasal sector choroidal thickness of less than 74 µm demonstrated the highest odds of predicting MMD (OR=33.8).
Conclusion: Choroidal thickness detects the presence of MMD with high agreement, particularly of the inner and outer nasal sectors of the posterior pole, which appears to be a biometric parameter more precise than age, AL, or SE.
Keywords: choroidal thickness; high myopia; myopic macular degeneration; swept-source optical coherence tomography.
International Journal of Ophthalmology Press.
Conflict of interest statement
Conflicts of Interest: Liu R, None; Xuan M, None; Wang DC, None; Xiao O, None; Guo XX, None; Zhang J, None; Wang W, None; Jong M, None; Sankaridurg P, None; Ohno-Matsui K, None; Yin QX, None; He MG, None; Li ZX, None.
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