Resolving the clinical acuity categories "hand motion" and "counting fingers" using the Freiburg Visual Acuity Test (FrACT)

被引:490
作者
Lange, C. [1 ]
Feltgen, N. [1 ]
Junker, B. [1 ]
Schulze-Bonsel, K. [1 ]
Bach, M. [1 ]
机构
[1] Univ Freiburg, Dept Ophthalmol, D-79106 Freiburg, Germany
关键词
Visual acuity; Low-vision assessment; Psychophysics; CHART; RELIABILITY;
D O I
10.1007/s00417-008-0926-0
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Purpose The Freiburg Visual Acuity Test (FrACT) has been suggested as a promising test for quantifying the visual acuity (VA) of patients with very low vision, a condition often classified using the semi-quantitative clinical scale "counting fingers" (CF), "hand motion" (HM), "light perception" (LP) and "no light perception". The present study was designed to assess FrACT performance in a sizable number of CF, HM, and LP patients in order to generate a setting for future clinical studies in the low vision range. Methods We examined a total of 41 patients ( LP, n=11; CF, n=15; HM, n=15) with various eye diseases ( e. g., diabetic retinopathy, ARMD), covering the clinical VA scale from LP to CF. The FrACT optotypes were presented at a distance of 50 cm on a 17-inch LCD monitor with four random orientations. After training, two FrACT measurements ( test and retest) were taken, each comprising 30 trials. Results FrACT measures reproducibly the VA of CF and HM patients. In CF patients, FrACT resulted in a mean logMAR=1.98 +/- 0.24 (corresponding to a decimal VA of 0.010), for HM in a mean logMAR=2.28 +/- 0.15 (corresponding to a decimal VA of 0.0052). In all LP patients the FrACT values were close to what would be obtained by random guessing. The mean test-retest 95% confidence interval was 0.21 logMAR for CF patients and 0.31 logMAR for HM respectively. Test-retest variability declined from 24 to 30 trials, showing that at least 30 trials are necessary. Conclusion FrACT can reproducibly quantify VA in the CF and HM range. We observed a floor effect for LP, and it was not quantifiable further. Quantitative VA measures are thus obtainable in the very low-vision range using FrACT.
引用
收藏
页码:137 / 142
页数:6
相关论文
共 24 条
  • [21] Prediction of Visual Acuity After Cataract Surgery by Deep Learning Methods Using Clinical Information and Color Fundus Photography
    Yang, Che-Ning
    Hsieh, Yi-Ting
    Yeh, Hsu-Hang
    Chu, Hsiao-Sang
    Wu, Jo-Hsuan
    Chen, Wei-Li
    CURRENT EYE RESEARCH, 2025, 50 (03) : 276 - 281
  • [22] Objective and quantitative assessment of visual acuity and contrast sensitivity based on steady-state motion visual evoked potentials using concentric-ring paradigm
    Zheng, Xiaowei
    Xu, Guanghua
    Wang, Yunyun
    Han, Chengcheng
    Du, Chenghang
    Yan, Wenqaing
    Zhang, Sicong
    Liang, Renghao
    DOCUMENTA OPHTHALMOLOGICA, 2019, 139 (02) : 123 - 136
  • [23] Objective and quantitative assessment of visual acuity and contrast sensitivity based on steady-state motion visual evoked potentials using concentric-ring paradigm
    Xiaowei Zheng
    Guanghua Xu
    Yunyun Wang
    Chengcheng Han
    Chenghang Du
    Wenqaing Yan
    Sicong Zhang
    Renghao Liang
    Documenta Ophthalmologica, 2019, 139 : 123 - 136
  • [24] Objective assessment of visual acuity using visually evoked potentials in response to fast sequences of pattern stimuli of different spatial frequency -: a study to determine the clinical relevance
    Heine, S
    Rüther, K
    Isensee, J
    Zrenner, E
    KLINISCHE MONATSBLATTER FUR AUGENHEILKUNDE, 1999, 215 (03) : 175 - 181