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人群和个体衍生变异性标准检测青光眼进展。

Detection of glaucoma progression by population and individual derived variability criteria.

机构信息

UPMC Eye Center, Eye & Ear Institute, Ophthalmology and Visual Science Research Center, Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.

出版信息

Br J Ophthalmol. 2013 Apr;97(4):403-7. doi: 10.1136/bjophthalmol-2011-301028. Epub 2012 Nov 30.

DOI:10.1136/bjophthalmol-2011-301028
PMID:23203702
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3721630/
Abstract

PURPOSE

Ocular imaging devices provide quantitative structural information that might improve glaucoma progression detection. This study examined scanning laser polarimetry (SLP) population-derived versus individual-derived cut-off criteria for detecting progression.

METHODS

Forty-eight healthy, glaucoma suspect and glaucoma subjects, providing 76 eyes were used. All subjects had reliable visual field (VF) and SLP scans acquired at the same visits from ≥4 visits. VF progression was defined by guided progression analysis (GPA) and by the VF index. SLP measurements were analysed by fast mode (FM) GPA, compared with the population rate of progression, and extended mode (EM) GPA, compared with the individual variability. The agreement between progression detection methods was measured.

RESULTS

Poor agreement was observed between progression defined by VF and FM and EM. The difference in temporal-superior-nasal-inferior-temporal (TSNIT) average rate of change between VF defined progressors and non-progressors for both FM (p=0.010) and EM (p=0.015) was statistically significant.

CONCLUSIONS

There is poor agreement between VF and SLP progression regardless of the use of population derived or individual variability criteria. The best SLP progression detection method could not be ascertained, therefore, acquiring three SLP scans per visit is recommended.

摘要

目的

眼部成像设备提供定量的结构信息,可能有助于提高青光眼进展的检测能力。本研究探讨了扫描激光偏振仪(SLP)的群体衍生和个体衍生的截断标准在检测进展方面的差异。

方法

本研究纳入了 48 名健康的青光眼疑似患者和青光眼患者,共 76 只眼。所有患者在至少 4 次就诊时均接受了可靠的视野(VF)和 SLP 扫描。VF 进展的定义是通过引导进展分析(GPA)和 VF 指数来确定的。通过快速模式(FM)GPA 分析 SLP 测量值,与群体进展率进行比较,通过扩展模式(EM)GPA 与个体变异性进行比较。比较了不同进展检测方法之间的一致性。

结果

VF 和 FM 以及 EM 定义的进展之间观察到一致性较差。FM(p=0.010)和 EM(p=0.015)的 VF 定义的进展者和非进展者之间颞上方鼻侧下方颞侧(TSNIT)平均变化率的差异具有统计学意义。

结论

无论使用群体衍生还是个体变异性标准,VF 和 SLP 进展之间的一致性都较差。无法确定最佳的 SLP 进展检测方法,因此建议每次就诊时采集三次 SLP 扫描。

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本文引用的文献

1
Detection of retinal nerve fibre layer progression: comparison of the fast and extended modes of GDx guided progression analysis.视网膜神经纤维层进展的检测:GDx 引导进展分析的快速模式和扩展模式的比较。
Br J Ophthalmol. 2011 Dec;95(12):1707-12. doi: 10.1136/bjophthalmol-2011-300354. Epub 2011 Oct 6.
2
Retinal nerve fibre layer and visual function loss in glaucoma: the tipping point.青光眼的视网膜神经纤维层与视觉功能丧失:临界点。
Br J Ophthalmol. 2012 Jan;96(1):47-52. doi: 10.1136/bjo.2010.196907. Epub 2011 Apr 8.
3
Detecting glaucomatous progression using GDx with variable and enhanced corneal compensation using Guided Progression Analysis.
使用 GDx 进行可变和增强的角膜补偿的青光眼进展检测,使用 Guided Progression Analysis。
Br J Ophthalmol. 2011 Apr;95(4):502-8. doi: 10.1136/bjo.2010.180810. Epub 2010 Jul 22.
4
Rates of progressive retinal nerve fiber layer loss in glaucoma measured by scanning laser polarimetry.扫描激光偏振光仪测量青光眼患者视网膜神经纤维层进行性丧失的速率。
Am J Ophthalmol. 2010 Jun;149(6):908-15. doi: 10.1016/j.ajo.2010.01.010. Epub 2010 Apr 8.
5
Agreement for detecting glaucoma progression with the GDx guided progression analysis, automated perimetry, and optic disc photography.用 GDx 引导的进展分析、自动视野计和视盘照相检测青光眼进展的协议。
Ophthalmology. 2010 Mar;117(3):462-70. doi: 10.1016/j.ophtha.2009.08.012. Epub 2009 Dec 24.
6
Detection of progressive retinal nerve fiber layer loss in glaucoma using scanning laser polarimetry with variable corneal compensation.使用可变角膜补偿的扫描激光偏振仪检测青光眼患者视网膜神经纤维层的进行性丢失
Invest Ophthalmol Vis Sci. 2009 Apr;50(4):1675-81. doi: 10.1167/iovs.08-2712. Epub 2008 Nov 21.
7
Performance of confocal scanning laser tomograph Topographic Change Analysis (TCA) for assessing glaucomatous progression.共焦扫描激光断层扫描仪地形变化分析(TCA)在评估青光眼病情进展中的性能。
Invest Ophthalmol Vis Sci. 2009 Feb;50(2):691-701. doi: 10.1167/iovs.08-2136. Epub 2008 Oct 3.
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