Improving the Structure–Function Relationship in Glaucomatous Visual Fields by Using a Deep Learning–Based Noise Reduction Approach
| Autor: | Hiroshi Murata, Ryo Asaoka, Mieko Yanagisawa, Takehiro Yamashita, Yuri Fujino, Masato Matsuura |
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| Rok vydání: | 2020 |
| Předmět: |
Male
Retinal Ganglion Cells Noise reduction Optic Disk Glaucoma 01 natural sciences Structure-Activity Relationship 03 medical and health sciences Deep Learning Nerve Fibers 0302 clinical medicine medicine Humans 0101 mathematics Intraocular Pressure business.industry Deep learning 010102 general mathematics Structure function Pattern recognition General Medicine Middle Aged medicine.disease Autoencoder Visual field Cross-Sectional Studies medicine.anatomical_structure 030221 ophthalmology & optometry Female Artificial intelligence Visual Fields Akaike information criterion business Glaucoma Open-Angle Tomography Optical Coherence Optic disc |
| Zdroj: | Ophthalmology Glaucoma. 3:210-217 |
| ISSN: | 2589-4196 |
| DOI: | 10.1016/j.ogla.2020.01.001 |
| Popis: | Purpose To investigate whether processing visual field (VF) measurements using a variational autoencoder (VAE) improves the structure–function relationship in glaucoma. Design Cross-sectional study. Participants The training data consisted of 82 433 VF measurements from 16 836 eyes. The testing dataset consisted of 117 eyes of 75 patients with open-angle glaucoma. Methods A VAE model to reconstruct the threshold of VF was developed using the training dataset. OCT and VF (Humphrey Field Analyzer 24-2, Swedish interactive threshold algorithm standard) measurements were carried out for all eyes in the testing dataset. Visual fields in the testing dataset then were reconstructed using the trained VAE. The structure–function relationship between the circumpapillary retinal nerve fiber layer (cpRNFL) thickness and VF sensitivity was investigated in each of twelve 30° segments of the optic disc (3 nasal sectors were merged). Similarly, the structure–function relationship was investigated using the VAE-reconstructed VF. Main Outcome Measures Structure–function relationship. Results The corrected Akaike information criterion values with threshold were found to be smaller than the threshold reconstructed with the VAE (thresholdVAE) in 9 of 10 sectors. A significant relationship was found between threshold and cpRNFL thickness in 6 of 10 sectors, whereas it was significant in 9 of 10 sectors with thresholdVAE. Conclusions Applying VAE to VF data results in an improved structure–function relationship. |
| Databáze: | OpenAIRE |
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