Fourier analysis of circumpapillary retinal nerve fiber layer thickness in optical coherence tomography for differentiating myopia and glaucoma

Differentiating glaucoma from myopic eye is a challenge to ophthalmologists. We try to develop a new discrete Fourier transform (DFT) model for analyzing optical coherence tomography data for the circumpapillary retinal nerve fiber layer (cpRNFL), and investigate DFT as a new diagnostic tool for gla...

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Published inScientific reports Vol. 10; no. 1; p. 10509
Main Authors Hsieh, Ming-Hung, Chang, Yu-Fan, Liu, Catherine Jui-Ling, Ko, Yu-Chieh
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 29.06.2020
Nature Publishing Group
Subjects
631/114/2397
631/378/2613/1786
692/53/2421
Adult
Aged
Diagnosis, Differential
Eye
Female
Fourier Analysis
Fourier transforms
Generalized linear models
Glaucoma
Glaucoma - diagnosis
Glaucoma - diagnostic imaging
Humanities and Social Sciences
Humans
Male
Middle Aged
multidisciplinary
Myopia
Myopia - diagnosis
Myopia - diagnostic imaging
Retina
Retina - diagnostic imaging
Retinal Neurons
Science
Science (multidisciplinary)
Tomography
Tomography, Optical Coherence
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Summary:Differentiating glaucoma from myopic eye is a challenge to ophthalmologists. We try to develop a new discrete Fourier transform (DFT) model for analyzing optical coherence tomography data for the circumpapillary retinal nerve fiber layer (cpRNFL), and investigate DFT as a new diagnostic tool for glaucomatous myopic eyes. The thicknesses of 12 equidistant cpRNFL points were transformed into 6 signals in the frequency domain, ranging from 1 to 6 Hz. In all 232 eyes, generalized linear model showed that 1 Hz, 2 Hz, and 4 Hz were associated with glaucoma, high myopia, and the interaction between glaucoma and high myopia. The 3 Hz signal was associated with glaucoma and high myopia exclusively. A receiver operating characteristic curve analysis of the 3 Hz signals showed areas under the curves of 0.93 (95% CI 0.90–0.96) and 0.93 (95% CI 0.88–0.98), for diagnosing glaucoma in all subjects and in the highly myopic group, respectively. The DFT model is useful to differentiate glaucoma from non-glaucomatous change and showed potential as a diagnostic tool for glaucomatous myopic eyes.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-020-67334-6