Diagnostic ability of macular microvasculature with swept-source OCT angiography for highly myopic glaucoma using deep learning

Macular OCT angiography (OCTA) measurements have been reported to be useful for glaucoma diagnostics. However, research on highly myopic glaucoma is lacking, and the diagnostic value of macular OCTA measurements versus OCT parameters remains inconclusive. We aimed to evaluate the diagnostic ability...

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Bibliographic Details
Published in:Scientific reports 2023-03, Vol.13 (1), p.5209-5209, Article 5209
Main Authors: Lee, Yun Jeong, Sun, Sukkyu, Kim, Young Kook, Jeoung, Jin Wook, Park, Ki Ho
Format: Article
Language:English
Subjects:
692/308/53/2421
692/699/3161/3172
692/700/1421
Angiography
Deep Learning
Eye
Glaucoma
Glaucoma - diagnostic imaging
Humanities and Social Sciences
Humans
Medical imaging
Microvasculature
Microvessels - diagnostic imaging
multidisciplinary
Myopia
Myopia - complications
Myopia - diagnostic imaging
Retinal Ganglion Cells
Science
Science (multidisciplinary)
Tomography, Optical Coherence - methods
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Summary:Macular OCT angiography (OCTA) measurements have been reported to be useful for glaucoma diagnostics. However, research on highly myopic glaucoma is lacking, and the diagnostic value of macular OCTA measurements versus OCT parameters remains inconclusive. We aimed to evaluate the diagnostic ability of the macular microvasculature assessed with OCTA for highly myopic glaucoma and to compare it with that of macular thickness parameters, using deep learning (DL). A DL model was trained, validated and tested using 260 pairs of macular OCTA and OCT images from 260 eyes (203 eyes with highly myopic glaucoma, 57 eyes with healthy high myopia). The DL model achieved an AUC of 0.946 with the OCTA superficial capillary plexus (SCP) images, which was comparable to that with the OCT GCL+ (ganglion cell layer + inner plexiform layer; AUC, 0.982; P  = 0.268) or OCT GCL++ (retinal nerve fiber layer + ganglion cell layer + inner plexiform layer) images (AUC, 0.997; P  = 0.101), and significantly superior to that with the OCTA deep capillary plexus images (AUC, 0.779; P  = 0.028). The DL model with macular OCTA SCP images demonstrated excellent and comparable diagnostic ability to that with macular OCT images in highly myopic glaucoma, which suggests macular OCTA microvasculature could serve as a potential biomarker for glaucoma diagnosis in high myopia.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-32164-9