Detection of functional deterioration in glaucoma by trend analysis using comprehensive overlapping clusters of locations.
Detection of functional deterioration in glaucoma by trend analysis using comprehensive overlapping clusters of locations.
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DOI：
10.1038/s41598-020-75619-z
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发表时间：
2020-10-28
影响因子：
4.6
通讯作者：
Mansberger SL
中科院分区：
文献类型：
--
作者：
Gardiner SK;Mansberger SL
Detecting rapid visual field deterioration is crucial for individuals with glaucoma. Cluster trend analysis detects visual field deterioration with higher sensitivity than global analyses by using predefined non-overlapping subsets of visual field locations. However, it may miss small defects that straddle cluster borders. This study introduces a comprehensive set of overlapping clusters, and assesses whether this further improves progression detection. Clusters were defined as locations from where ganglion cell axons enter the optic nerve head within a θ° wide sector, centered at 1º intervals, for various θ. Deterioration in eyes with or at risk of glaucomatous visual field loss was “detected” if ≥ Nθ clusters had deteriorated with p < pCluster, chosen empirically to give 95% specificity based on permuting the series. Nθ was chosen to minimize the time to detect subsequently-confirmed deterioration in ≥ 1/3rd of eyes. Times to detect deterioration were compared using Cox survival models. Biannual series were available for 422 eyes of 214 participants. Predefined non-overlapping clusters detected subsequently-confirmed change in ≥ 1/3rd of eyes in 3.41 years (95% confidence interval 2.75–5.48 years). After equalizing specificity, no criteria based on comprehensive overlapping clusters detected deterioration significantly sooner. The quickest was 3.13 years (2.69–4.65) for θ° = 20° and Nθ = 25, but the comparison with non-overlapping clusters had p = 0.672. Any improvement in sensitivity for detecting deterioration when using a comprehensive set of overlapping clusters was negated by the need to maintain equal specificity. The existing cluster trend analysis using predefined non-overlapping clusters provides a useful tool for monitoring visual field progression.
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影响因子：
4.4
作者：
Gardiner SK;Mansberger SL;Demirel S
通讯作者：
Demirel S
影响因子：
17.8
作者：
Hood DC;Raza AS;de Moraes CG;Liebmann JM;Ritch R
通讯作者：
Ritch R
影响因子：
1.8
作者：
Gardiner, SK;Crabb, DP;Hitchings, RA
通讯作者：
Hitchings, RA
DOI：
10.1097/opx.0b013e31818b9b40
发表时间：
2008-11
期刊：
Optometry and vision science : official publication of the American Academy of Optometry
影响因子：
--
作者：
Gardiner SK;Demirel S;Johnson CA
通讯作者：
Johnson CA
影响因子：
--
作者：
Keltner, JL;Johnson, CA;Gordon, MO
通讯作者：
Gordon, MO