Long- and Short-Term Variability of Perimetry in Glaucoma.
Long- and Short-Term Variability of Perimetry in Glaucoma.
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DOI：
10.1167/tvst.11.8.3
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发表时间：
2022-08-01
影响因子：
3
通讯作者：
Mansberger, Steven L.
中科院分区：
文献类型：
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作者：
Gardiner, Stuart K.;Swanson, William H.;Mansberger, Steven L.
视野检查中的测试-重测变异性包括短期和长期两个部分，这两个部分都阻碍了对进展的评估。通过最小化和量化依赖于算法的短期变异性，我们可以量化独立于算法的长期变异性，它反映了两次访问之间敏感度的真实波动。我们在灵敏度为<；28db(当刺激小于Ricco面积且可假定为完全空间求和时)和>；28db(当发生部分求和时)的位置这样做。对35名青光眼患者的四个位置的视力曲线进行了测量。对于给定的灵敏度，对这些曲线的累积高斯拟合的标准偏差进行建模，并用于模拟30次呈现算法的预期短期变异性。另一组由137名参与者组成的单独小组使用该算法进行了两次测试，测试间隔6个月。不同敏感度下的长期方差被计算为观测重测方差的黄土拟合度减去模拟短期方差的黄土拟合法。在28分贝以下，短时变异性随着损耗的增加而近似线性增加。长期变异性也随着损伤的增加而增加，在灵敏度为21分贝时达到最大标准偏差2.4分贝，然后由于算法的地板效应而减少。在30分贝以上，观察到的重测方差略小于模拟的短期方差。当周界刺激小于Ricco‘s面积时，长期和短期变异性均随损伤程度增加。在28分贝以上，长期变异性在重测变异性中所占的比例可以忽略不计。在青光眼中，真实敏感度的波动会增加，即使在考虑到短期变异性增加后也是如此。这种长期的可变性不能仅通过改变测试算法来减少。
Test–retest variability in perimetry consists of short-term and long-term components, both of which impede assessment of progression. By minimizing and quantifying the algorithm-dependent short-term variability, we can quantify the algorithm-independent long-term variability that reflects true fluctuations in sensitivity between visits. We do this at locations with sensitivity both < 28 dB (when the stimulus is smaller than Ricco's area and complete spatial summation can be assumed) and > 28 dB (when partial summation occurs). Frequency-of-seeing curves were measured at four locations of 35 participants with glaucoma. The standard deviation of cumulative Gaussian fits to those curves was modeled for a given sensitivity and used to simulate the expected short-term variability of a 30-presentation algorithm. A separate group of 137 participants was tested twice with that algorithm, 6 months apart. Long-term variance at different sensitivities was calculated as the LOESS fit of observed test–retest variance minus the LOESS fit of simulated short-term variance. Below 28 dB, short-term variability increased approximately linearly with increasing loss. Long-term variability also increased with damage below this point, attaining a maximum standard deviation of 2.4 dB at sensitivity 21 dB, before decreasing due to the floor effect of the algorithm. Above 30 dB, the observed test–retest variance was slightly smaller than the simulated short-term variance. Long-term and short-term variability both increase with damage for perimetric stimuli smaller than Ricco's area. Above 28 dB, long-term variability constitutes a negligible proportion of test–retest variability. Fluctuations in true sensitivity increase in glaucoma, even after accounting for increased short-term variability. This long-term variability cannot be reduced by altering testing algorithms alone.
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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：
3.7
作者：
Choi AY;Nivison-Smith L;Khuu SK;Kalloniatis M
通讯作者：
Kalloniatis M
影响因子：
3
作者：
Denniss, Jonathan;McKendrick, Allison M.;Turpin, Andrew
通讯作者：
Turpin, Andrew
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：
4.4
作者：
Chong, Luke X.;McKendrick, Allison M.;Turpin, Andrew
通讯作者：
Turpin, Andrew