Department of Ophthalmology, University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Sci Rep. 2021 May 6;11(1):9671. doi: 10.1038/s41598-021-89233-0.
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.
目的是建立和评估一种新的视野（VF）测试点聚类方法，以预测色素性视网膜炎的未来 VF。使用 858 个 VF 的总偏差值对 Humphrey Field Analyzer 10-2 测试进行聚类。我们将 68 个测试点分层为 24 个扇区。然后，使用 196 只眼睛的 10 个 VF 序列评估了它们的扇区回归的平均绝对误差（MAE）（S1），并与逐点线性回归（PLR）、总面积平均敏感度（MS）进行比较，以及另一种基于青光眼 VF 图的扇区回归（29 个扇区；S2）。当使用第一至第三和第一至第七 VF 时，S1 的 MAE 小于 PLR。当使用第一至第六和第一至第九 VF 时，该方法的 MAE 明显小于 S2。当使用第一至第三和第一至第四 VF 时，MS 的 MAE 小于 S1，但当使用更多 VF 时，预测准确性比任何其他方法都要大得多。与 PLR 相比，这种新的扇区回归实现了更准确的预测。此外，与青光眼相比，获得的聚类对于预测进展更有用。
