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Volume 30, Issue 11, Pages 2377-2382 (November 2004)


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Normal values for a clinical test of letter-recognition contrast thresholds☆☆

Arshad M. Khanani, MDa, Sandra M. Brown, MDCorresponding Author Informationaemail address, Ke Tom Xu, PhDb

Accepted 30 March 2004.

Abstract 

Purpose: To investigate the contrast thresholds (CTs) in normal subjects using a high-luminance, letter-recognition task under clinically relevant testing conditions.

Setting: Texas Tech University Health Sciences System, Lubbock, Texas, USA.

Methods: Sixty normal subjects aged 20 to 49 years with a best corrected visual acuity of 20/20 or better in both eyes participated. M & S Technologies software was used to display black-on-white Sloan letters at contrast levels of 25%, 20%, 15%, 12%, and 10% through 1% in 1% decrements. The effects of age, sex, optotype size, eye dominance, ambient illumination level (bright = 625 − 630 lux; dim = <3 lux), and direction of approach to threshold were analyzed using a multivariate, ordinary, least-squares analysis.

Results: Age and sex did not influence CTs. Ascending versus descending testing was not statistically significant (P>.5). The effects of room illumination and eye dominance were significant (P<.01). Significant differences were found between 20/30 and 20/50, 20/30 and 20/70, and 20/50 and 20/70 optotype sizes (P<.01 for all comparisons).

Conclusions: A commercially available, computer-based test of CTs was easy to administer and apparently easy for inexperienced subjects to perform. The results suggest criteria for detecting visual problems concerned with familiar but complex spatial-image shapes. This information might be used to assess the effects of treatments such as laser refractive surgery on recognition contrast. Further study is warranted.

a Department of Ophthalmology and Visual Sciences, Texas Tech University Health Sciences Center, Lubbock, TX, USA

b Department of Health Services Research and Management, Texas Tech University Health Sciences Center, Lubbock, TX, USA

Corresponding Author InformationReprint requests to Sandra Brown, MD, 3601 Fourth Street STOP 7217, Lubbock, Texas 79430-7217, USA.

 Supported by a grant from M & S Technologies, Chicago, Illinois, USA. Software designed by Steven Nordstrom. Mr. Nordstrom is a partner in M & S Technologies, USA.

☆☆ Mr. Khanani received a research stipend at the conclusion of the study. No author has a commercial or proprietary interest in any product mentioned.

 Rockefeller Young, PhD, assisted with the study design, interim statistical analysis, and manuscript review.

PII: S0886-3350(04)00562-0

doi:10.1016/j.jcrs.2004.05.027


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