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DOI 10.1097/jcma.0000000000000254

Медицинская библиотека · Journal of the Chinese Medical Association : JCMA · 2020

Glaucoma assessment in high myopic eyes using optical coherence tomography with long axial length normative database.

Chang Yu-Fan, Ko Yu-Chieh, Hsu Chih-Chien, Chen Mei-Ju, Liu Catherine Jui-Ling

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Аннотация

BACKGROUND

We investigated the performance of glaucoma assessment using RS-3000 spectral domain optical coherence tomography with a long axial length (AL) normative database versus Cirrus HD-OCT in eyes with high myopia.

METHODS

This is a prospective case-control study. Eyes with AL ≥26 mm were enrolled, including 40 control eyes and 41 eyes with primary open-angle glaucoma. Each participant received OCT imaging with both devices at the same visit. We calculated the area under receiver operating characteristic curve (AUROC) for circumpapillary retinal nerve fiber layer (cpRNFL) and macular ganglion cell complex (GCC) parameters, and compared the false-positive and false-negative rates between the two devices.

RESULTS

Both devices performed comparably well in glaucoma assessment regarding cpRNFL parameters, with the best parameter being the average cpRNFL for RS-3000 (AUROC: 0.899) and the clock-hour 7 cpRNFL for Cirrus HD (AUROC: 0.912). Regarding macular GCC parameters, although the nasal-inferior outer sector of the RS-3000 (AUROC 0.873) and the inferior-temporal sector of the Cirrus HD (AUROC 0.840) performed well in glaucoma assessment, generally speaking there was a higher false-positive rate using Cirrus HD when compared with that of RS-3000.

CONCLUSION

For eyes with long AL, both OCT devices are comparable in the ability of discriminating glaucoma from non-glaucoma in terms of cpRNFL parameters, while the macular GCC parameters of RS-3000 were less likely to over-diagnose glaucoma in highly myopic eyes.

Для цитирования: Chang Yu-Fan, Ko Yu-Chieh, Hsu Chih-Chien, Chen Mei-Ju, Liu Catherine Jui-Ling. Glaucoma assessment in high myopic eyes using optical coherence tomography with long axial length normative database.. Journal of the Chinese Medical Association : JCMA. 2020. DOI: 10.1097/jcma.0000000000000254.

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