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Abstract
The aim was to establish and evaluate a new clustering method for visual field (VF) test points to predict future VF in retinitis pigmentosa. A Humphrey Field Analyzer 10-2 test was clustered using total deviation values from 858 VFs. We stratified 68 test points into 24 sectors. Then, mean absolute error (MAE) of the sector-wise regression with them (S1) was evaluated using 196 eyes with 10 VF sequences and compared to pointwise linear regression (PLR), mean sensitivity of total area (MS) and also another sector-wise regression basing on VF mapping for glaucoma (29 sectors; S2). MAE with S1 were smaller than with PLR when between the first-third and first-seventh VFs were used. MAE with the method were significantly smaller than those of S2 when between the first-sixth and first-ninth VFs were used. The MAE of MS was smaller than those with S1 only when first to 3rd and first to 4th VFs were used; however, the prediction accuracy became far larger than any other methods when larger number of VFs were used. More accurate prediction was achieved using this new sector-wise regression than with PLR. In addition, the obtained cluster was more useful than that for glaucoma to predict progression.
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1 University of Tokyo Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
2 Kyoto University Graduate School of Medicine, Department of Ophthalmology and Visual Sciences, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033); Nagasaki University, Department of Ophthalmology and Visual Sciences, Nagasaki, Japan (GRID:grid.174567.6) (ISNI:0000 0000 8902 2273)
3 University of Tokyo Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); Seirei Hamamatsu General Hospital, Department of Ophthalmology, Shizuoka, Japan (GRID:grid.415466.4) (ISNI:0000 0004 0377 8408); Seirei Christopher University, Shizuoka, Japan (GRID:grid.443623.4) (ISNI:0000 0004 0373 7825); Shizuoka University, Nanovision Research Division, Research Institute of Electronics, Shizuoka, Japan (GRID:grid.263536.7) (ISNI:0000 0001 0656 4913); The Graduate School for the Creation of New Photonics Industries, Shizuoka, Japan (GRID:grid.468893.8) (ISNI:0000 0004 0396 0947)
4 University of Tokyo Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); Seirei Hamamatsu General Hospital, Department of Ophthalmology, Shizuoka, Japan (GRID:grid.415466.4) (ISNI:0000 0004 0377 8408); Shimane University Faculty of Medicine, Department of Ophthalmology, Izumo, Japan (GRID:grid.411621.1) (ISNI:0000 0000 8661 1590)
5 Kyoto University Graduate School of Medicine, Department of Ophthalmology and Visual Sciences, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033)
6 University of Tokyo Graduate School of Medicine, Department of Ophthalmology, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); Yokohama City University, Department of Ophthalmology and Micro-Technology, Kanagawa, Japan (GRID:grid.268441.d) (ISNI:0000 0001 1033 6139)