2007
DOI: 10.1007/s00417-007-0538-0
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Stabilization and comparison of TOP and Bracketing perimetric strategies using a threshold spatial filter

Abstract: The proposed spatial filter stabilized perimetric results, acting with greater effect on BRA than on TOP, making their results more similar.

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Cited by 12 publications
(9 citation statements)
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“…The possible progression of defects was studied using the program Threshold Noiseless Trend [23] , which uses trend analysis of the cumulative defect curve by sectors, the MD and local thresholds after the application of a spatial filter [24] .…”
Section: Exclusion Criteriamentioning
confidence: 99%
“…The possible progression of defects was studied using the program Threshold Noiseless Trend [23] , which uses trend analysis of the cumulative defect curve by sectors, the MD and local thresholds after the application of a spatial filter [24] .…”
Section: Exclusion Criteriamentioning
confidence: 99%
“…Although the need for relatively frequent examinations has been advocated,25 some authors have affirmed that this idea is of little use because of threshold fluctuation 26. Our results incline us to think that increased frequency of examinations is useful if the examination has previously been stabilised by applying a mathematical filter13 and the defect curve is used 14. This utility is manifested if one takes into account that TNT Pulsar achieves detection of progression in 30% of cases as from the sixth examination, that is after 15 months of follow-up.…”
Section: Discussionmentioning
confidence: 70%
“…The TNT program analyses MD by linear regression, stabilises threshold values by means of a mathematical filter13 and estimates the magnitude of progression in eight sectors of the defect curve (vectors of change) 14. To indicate progression with the TNT program, three previously described criteria were used.…”
Section: Methodsmentioning
confidence: 99%
“…Mathematical models to soften the effect of LF and to stabilise a series of visual fields have been recently reported,13 but the best way to reduce variability is to reduce the clinical sources of the problem. Efforts should focus on adopting ideal testing conditions (calm and comfortable room, mild illumination, use of standard operating procedures) and the same perimetric strategy over time (LF largely varies between perimetric strategies14).…”
Section: Discussionmentioning
confidence: 99%