Fülep Csilla, Kovács Illés, Kránitz Kinga, Nagy Zoltán Zsolt, Erdei Gábor
Department of Atomic Physics, Budapest University of Technology and Economics, Budapest, Hungary.
Department of Ophthalmology, Semmelweis University, Budapest, Hungary.
Transl Vis Sci Technol. 2019 Apr 17;8(2):19. doi: 10.1167/tvst.8.2.19. eCollection 2019 Mar.
Visual acuity tests are generally performed by showing eye charts to the subjects and registering their correct/incorrect identifications for the presented optotypes. We recently developed a correlation-based scoring method that significantly reduces the statistical error associated with relative letter legibility. In this paper, our purpose was to demonstrate the advantages and clinical utility of our scoring scheme compared to standard methods.
We developed a new computer-controlled measurement setup aligned with the ophthalmological standard. With this system, we presented the application of our correlation-based scoring in conventional clinical environment for 25 subjects and estimated the systematic error of the obtained acuity values. A separate experiment was performed by 14 additional subjects to reveal the test-retest variability of the new scoring method.
The average systematic error relative to standard probability-based scoring is 0.01 logMAR over the examined subject group. Application of the correlation-based scheme when used in clinical environment with five letters per size decreases the repeatability error by ∼20% and increases diagnosis time by ∼10%.
The new scoring scheme is directly applicable in clinical practice providing unbiased results with improved repeatability compared to standard visual acuity measurements. It reduces test-retest variability by the same amount as if the number of letters was doubled in traditional tests.
Our new method is a promising alternative to conventional acuity tests in cases when high-precision measurements are required, for example evaluating implanted intraocular lenses, testing subjects with retinal diseases or cataract, and refractive surgery candidates.
视力测试通常是通过向受试者展示视力表并记录他们对所呈现视标正确/错误的识别情况来进行的。我们最近开发了一种基于相关性的评分方法,该方法显著降低了与相对字母清晰度相关的统计误差。在本文中,我们的目的是证明我们的评分方案相对于标准方法的优势和临床实用性。
我们开发了一种符合眼科标准的新型计算机控制测量装置。利用该系统,我们在传统临床环境中对25名受试者应用了基于相关性的评分,并估计了所获得视力值的系统误差。另外14名受试者进行了一项单独实验,以揭示新评分方法的重测变异性。
在所检查的受试者组中,相对于基于标准概率的评分,平均系统误差为0.01 logMAR。当在临床环境中每个视标大小使用五个字母时,基于相关性的方案的应用将重复性误差降低了约20%,并将诊断时间增加了约10%。
与标准视力测量相比,新的评分方案可直接应用于临床实践,提供无偏结果且重复性得到改善。它将重测变异性降低的幅度与传统测试中字母数量翻倍时相同。
在需要高精度测量的情况下,例如评估植入的人工晶状体、测试患有视网膜疾病或白内障的受试者以及屈光手术候选人时,我们的新方法是传统视力测试的一种有前途的替代方法。