The Relationship Between Bruch's Membrane Opening-Minimum Rim Width and Retinal Nerve Fiber Layer Thickness and a New Index Using a Neural Network

Translational Vision Science & Technology
Keunheung ParkJi-Woong Lee

Abstract

We evaluate the relationship between Bruch's membrane opening minimum rim width (BMO-MRW) and peripapillary retinal nerve fiber layer thickness (pRNFLT) and develop a new parameter combining BMO-MRW and pRNFLT using a neural network to maximize their compensatory values. A total of 402 subjects were divided into two groups: 273 (validation group) and 129 (neural net training) subjects. Linear quadratic and broken-stick regression models were used to explore the relationship between BMO-MRW and pRNFLT. A multilayer neural network was used to create a combined parameter, and diagnostic performances were compared using area under the receiver operating characteristic curves (AUROCs). Regression analyses between BMO-MRW and pRNFLT revealed that the broken-stick model afforded the best fit. Globally, the tipping point was a BMO-MRW of 226.5 μm. BMO-MRW and pRNFLT were correlated significantly with visual field. When differentiating normal from glaucoma subjects, the neural network exhibited the largest AUROC. When differentiating normal from early glaucoma subjects, the overall diagnostic performance decreased, but the neural network still exhibited the largest AUROC. The optimal relationship between BMO-MRW and pRNFLT was revealed ...Continue Reading

References

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Citations

Feb 20, 2021·European Journal of Ophthalmology·Kemal Turgay ÖzbilenMurat Kürtüncü
Jan 29, 2019·American Journal of Ophthalmology·Atalie C ThompsonFelipe A Medeiros
Oct 26, 2021·American Journal of Ophthalmology·Herman StubedaJayme R Vianna

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Software Mentioned

R
BMO
MRW
Glaucoma Module Premium Edition
SPSS
pRNFLT

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