Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning
Abstract We used machine learning to investigate the residual visual field (VF) deficits and macula retinal ganglion cell (RGC) thickness loss patterns in recovered optic neuritis (ON). We applied archetypal analysis (AA) to 377 same-day pairings of 10-2 VF and optical coherence tomography (OCT) mac...
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-81835-8 |
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| author | David Szanto Jui-Kai Wang Brian Woods Tobias Elze Mona K. Garvin Louis R. Pasquale Randy H. Kardon Joseph Branco Mark J. Kupersmith |
| author_facet | David Szanto Jui-Kai Wang Brian Woods Tobias Elze Mona K. Garvin Louis R. Pasquale Randy H. Kardon Joseph Branco Mark J. Kupersmith |
| author_sort | David Szanto |
| collection | DOAJ |
| description | Abstract We used machine learning to investigate the residual visual field (VF) deficits and macula retinal ganglion cell (RGC) thickness loss patterns in recovered optic neuritis (ON). We applied archetypal analysis (AA) to 377 same-day pairings of 10-2 VF and optical coherence tomography (OCT) macula images from 93 ON eyes and 70 normal fellow eyes ≥ 90 days after acute ON. We correlated archetype (AT) weights (total weight = 100%) of VFs and total retinal thickness (TRT), inner retinal thickness (IRT), and macular ganglion cell-inner plexiform layer (GCIPL) thickness. AA showed most ON eyes had a 10-2 VF pattern like the normal fellow eye VF, despite having markedly thinner GCIPL patterns. AA identified 7 VF and 11 retinal thickness ATs for each OCT model. The normal VF AT constituted 80% of ON eyes and 90% of normal fellow eyes. The most common GCIPL AT consisted of diffuse thinning. We identified significant correlations for the normal AT weights using OCT AT weights of five GCIPL ATs (r = 0.45), four TRT ATs (0.53) and two IRT ATs (0.42). Following acute ON, most eyes had complete 10-2 VF recovery despite significant GCIPL thinning, suggesting compensatory mechanisms for vision. |
| format | Article |
| id | doaj-art-9384c27f611144c9a87acdf8fe8a5f47 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
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| spelling | doaj-art-9384c27f611144c9a87acdf8fe8a5f472024-12-29T12:23:03ZengNature PortfolioScientific Reports2045-23222024-12-0114111210.1038/s41598-024-81835-8Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learningDavid Szanto0Jui-Kai Wang1Brian Woods2Tobias Elze3Mona K. Garvin4Louis R. Pasquale5Randy H. Kardon6Joseph Branco7Mark J. Kupersmith8Neurology, Icahn School of Medicine at Mount SinaiCenter for the Prevention and Treatment of Visual Loss, Iowa City VA Health SystemIrish Clinical Academic Training Programme, Department of Ophthalmology, Cork University HospitalSchepens Eye Research Institute, Harvard Medical SchoolCenter for the Prevention and Treatment of Visual Loss, Iowa City VA Health SystemOphthalmology, Icahn School of Medicine at Mount SinaiCenter for the Prevention and Treatment of Visual Loss, Iowa City VA Health SystemNew York Medical CollegeNeurology, Icahn School of Medicine at Mount SinaiAbstract We used machine learning to investigate the residual visual field (VF) deficits and macula retinal ganglion cell (RGC) thickness loss patterns in recovered optic neuritis (ON). We applied archetypal analysis (AA) to 377 same-day pairings of 10-2 VF and optical coherence tomography (OCT) macula images from 93 ON eyes and 70 normal fellow eyes ≥ 90 days after acute ON. We correlated archetype (AT) weights (total weight = 100%) of VFs and total retinal thickness (TRT), inner retinal thickness (IRT), and macular ganglion cell-inner plexiform layer (GCIPL) thickness. AA showed most ON eyes had a 10-2 VF pattern like the normal fellow eye VF, despite having markedly thinner GCIPL patterns. AA identified 7 VF and 11 retinal thickness ATs for each OCT model. The normal VF AT constituted 80% of ON eyes and 90% of normal fellow eyes. The most common GCIPL AT consisted of diffuse thinning. We identified significant correlations for the normal AT weights using OCT AT weights of five GCIPL ATs (r = 0.45), four TRT ATs (0.53) and two IRT ATs (0.42). Following acute ON, most eyes had complete 10-2 VF recovery despite significant GCIPL thinning, suggesting compensatory mechanisms for vision.https://doi.org/10.1038/s41598-024-81835-8 |
| spellingShingle | David Szanto Jui-Kai Wang Brian Woods Tobias Elze Mona K. Garvin Louis R. Pasquale Randy H. Kardon Joseph Branco Mark J. Kupersmith Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning Scientific Reports |
| title | Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning |
| title_full | Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning |
| title_fullStr | Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning |
| title_full_unstemmed | Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning |
| title_short | Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning |
| title_sort | macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning |
| url | https://doi.org/10.1038/s41598-024-81835-8 |
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