2011
DOI: 10.1055/s-0031-1273216
|View full text |Cite
|
Sign up to set email alerts
|

Clinical Evaluation of a Novel Population-Based Regression Analysis for Detecting Glaucomatous Visual Field Progression

Abstract: The population-based regression analysis seems to be superior to the trend analysis in detecting VF progression in glaucoma, and may eliminate the drawbacks of the event analysis. Further, it may assist the clinician in the evaluation of VF series and may allow better visualization of the correlation between function and structure owing to VF clusters.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
5
0

Year Published

2012
2012
2016
2016

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(5 citation statements)
references
References 24 publications
(45 reference statements)
0
5
0
Order By: Relevance
“…12,13,16 In a retrospective study performed on 240 consecutive visual field series with at least 9 consecutive tests, CCTA markedly increased sensitivity of detection of progression, compared with event analysis. 12 Trend analysis, however, requires several tests for optimal performance, which is not necessarily feasible in routine clinical practice when early visual field progression is investigated.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…12,13,16 In a retrospective study performed on 240 consecutive visual field series with at least 9 consecutive tests, CCTA markedly increased sensitivity of detection of progression, compared with event analysis. 12 Trend analysis, however, requires several tests for optimal performance, which is not necessarily feasible in routine clinical practice when early visual field progression is investigated.…”
Section: Discussionmentioning
confidence: 99%
“…When the trend analysis results in a slope, which is not significantly different from that of the software's stable glaucoma reference population, the cluster is labeled as unaltered, but when it is significant, the cluster is labeled as belonging to one of the following categories: (1) significant worsening at P < 1% level; (2) significant worsening at P < 5% level; (3) significant improvement at P < 1% level; and (4) significant improvement at P < 5% level. When the long-term fluctuation is higher than that of the software's reference population 12,13 and the trend is not significant, the cluster is labeled as (5) significantly increased measurement variability at P < 1% or (6) at P < 5% level. When the software is not able to detect any further decrease of cluster MD because of 0 perimetric sensitivity in the cluster, the cluster is labeled as (7) floor effect.…”
Section: Cta With the Octopus Field Analysis Softwarementioning
confidence: 99%
See 2 more Smart Citations
“…Unlike corrected cluster trend analysis, which employs trend analysis to investigate the progression of local defect values averaged for functionally connected test points (clusters) of the visual field (6), PTA is based on pointwise regression analysis (6, 13-15). Cluster analysis minimizes the influence of background noise and the between-point dispersion (6, 13–15, 21). These advantages, however, are not available for pointwise regression analysis.…”
Section: Discussionmentioning
confidence: 99%