Literature DB >> 27830202

Comparison of the visual acuity after photorefractive keratectomy using Early Treatment Diabetic Retinopathy Study Chart and E-chart.

Saeedeh Ghorbanhosseini1, Hassan Hashemi2, Ebrahim Jafarzadehpur3, Abbasali Yekta4, Mehdi Khabazkhoob5.   

Abstract

PURPOSE: To compare the visual responses of post refractive surgery's patients using Early Treatment Diabetic Retinopathy Study Chart (ETDRS) and E-chart with and without color filters.
METHODS: The uncorrected Logarithm of the Minimum Angle of Resolution Visual Acuity (LogMAR VA) of 70 patients with a mean age of 26.2 ± 3.76 years (from 19 to 34 years) who had undergone Photorefractive Keratectomy (PRK) (the range of post operation refractive error: ±0.5 D) was measured under the light conditions of with and without asymmetrical glare by using red, green, and yellow filters and ETDRS chart and E-chart.
RESULTS: In both light conditions of with and without glare, the mean visual acuity of the three filters in the right and left eyes was significantly better with the E-chart versus the ETDRS chart (P < 0.0001). Only in the glare light condition, the mean visual acuity of the left eye showed no significant difference between the two charts using the red filter (P = 0.30).
CONCLUSIONS: Visual acuity measurements were different with ETDRS chart and E-chart. These two charts cannot be used interchangeably.

Entities:  

Keywords:  Colored filters; Glare; Refractive surgery; Visual acuity charts

Year:  2016        PMID: 27830202      PMCID: PMC5093851          DOI: 10.1016/j.joco.2016.04.004

Source DB:  PubMed          Journal:  J Curr Ophthalmol        ISSN: 2452-2325


Introduction

Visual acuity is the highest performance of the visual system and a conventional clinical index that depends on factors like luminance, contrast, spectral distribution, age, and visual adaptation. In other words, visual acuity depends on the optical and neural functions of the eye, and its simple measurement can reveal many visual disorders. On the other hand, despite new techniques and better equipment, many patients still have visual complaints after refractive surgery. Many studies have evaluated the visual function following refractive surgery and compared different surgical methods.2, 3, 4, 5 The measurement of visual acuity with different charts is one of the most common ways of the assessment of the visual function to identify visual system abnormalities like refractive errors, disorders of the ocular media, and optic nerve and visual pathway disorders. In general, the principles employed in designing the charts are based on common optical and physiological parameters, and the only difference in charts is related to their design type and measurement accuracy. The E-chart and Early Treatment Diabetic Retinopathy Study (ETDRS) chart are two charts that are designed based on similar principles and a five-by-five grid pattern. The E-chart (with a design similar to the Snellen chart) is the most common chart in the world that has a big letter on top, and the number of letters increases from the top to the bottom of the chart. This chart is commonly used for the screening of visual acuity in children and assessment of visual acuity in illiterate or non-English speaking patients. One of the specifications of the E-chart is the evaluation of resolution acuity (the minimum distance between two adjacent points or lines to be recognized as two separate objects); however, this chart may have some limitations: Due to the varying number of letters in the upper lines of the chart, the value of each letter in the upper lines is not similar to its value in the lower lines. Since the size of the letters in each line does not follow a certain order, it may lead to over estimation in the lower lines. There is much contour interaction in the E-chart.7, 9 The test-retest variability of the E-chart is high thereby decreasing the possibility of the accurate diagnosis of visual changes, which is important for research purposes.10, 11 However, other standard charts have been designed since 1993. The logarithmic ETDRS is one of these charts. This chart, with Sloan letter optotypes, is a conventional chart for research purposes worldwide which is used as a reference for comparison with other substitute charts. The ETDRS chart evaluates the recognition acuity of the individuals and has the following advantages: Since the number of letters in each line is similar, each letter has the same quantitative value equal to 0.02 Logarithm of the Minimum Angle of Resolution (LogMAR). The distance between the letters are constant and equal to the size of the letters (about 0.1), which controls the crowding phenomenon. As for identification of the letters, the letters used in the chart are in an equal level. The accurate measurement of visual acuity is very important due to the increase in the prevalence of refractive surgery and dissatisfaction of some patients with their post operative visual acuity. In general, it is not very easy to assess the visual function and detect and measure subjective symptoms of the patients, especially glare symptoms, post operatively.14, 15 Despite the wide use of the ETDRS chart in clinical assessments of visual acuity and research projects worldwide, the E-chart is still used in a decimal (10/10), foot (20/20), or meter (6/6) scale. Since these two charts have different appearances and their results of visual acuity measurement is different according to some studies,10, 16, 17, 18, 19 and because there is no clinical standard chart to measure the patients' post operative visual acuity, the question is: can the differences in the design of these two charts result in different visual acuity measurements after optical interventions on the cornea? Therefore, in this study, we used the E-chart and ETDRS chart with three color filters to measure and compare the participants' visual acuity.

Methods

In this cross-sectional study, the patients were selected from the individuals who visited Noor Eye Hospital in Iran for periodic examinations 3–11 months after Photorefractive Keratectomy (PRK) surgery for myopia or myopic astigmatism refractive error. Exclusion criteria were any corneal pathology, glaucoma, residual refractive errors more than ±0.5 Diopter (D) of myopia or hyperopia, residual astigmatism more than −0.75 D of with-the-rule astigmatism and more than −0.25 D of against-the-rule and oblique astigmatism, and poor understanding of English letters. All the participants were examined in the same room. To be sure, the English letters were explained to all patients before starting the test. Since the E-chart was used to measure the visual acuity of the patients before surgery, both the E-chart and the ETDRS chart (Nidek Chart Projector, CP-770/Ophthalmic Instrument Company, Porana Business Park Unit 12/77 Porana Road, Glenfield, Auckland, New Zealand) were used at a standard distance (6 m) and in standard light conditions (BS4274) (measured by Photometer, model 606 027, Leybold Company, LD DIDACTIC GmbH Leyboldstr (Fig. 1). 1 D-50354 Hürth, Germany) to evaluate their post operative visual acuity. In all patients, the trial frame was placed in front of the eyes, and one eye was occluded at the time of examination. Uncorrected visual acuity was measured first in the right eye with two charts and then in the left eye. Both charts were randomly selected for each eye. The line assignment method was used; the whole chart was lit, and the test continued until the patient was unable to answer more than half of the letters in a line.
Fig. 1

Comparison of E-chart and ETDRS chart (Nidek Chart Projector, CP-770).

Visual acuity measurements were first performed in normal light conditions without the color filters. Then, to create an asymmetrical light condition (which is more similar to natural conditions), the visual acuity was again evaluated after a halogen light source was placed on the left side of the patient (about 40 cm from the left and 46 cm from the right eye) that created a light intensity of 95 Lux in the left eye and 35 Lux in the right eye. After that, the same light conditions were used for the measurement of visual acuity using yellow (Band Pass), green (High Pass), and red (Low Pass) filters. The yellow filter used in our study was in range of 0.433 x and 0.476 y in the International Commission on Illumination (CIE) diagram measured with a spectrophotometer (Cecil-Reflectascan-ce-3055). It should be mentioned that the optical density of the three filters was similar. The filters were randomly used. To prevent adaptation to color filters, all assessments were first performed in non-glare conditions and then repeated in glare conditions. Moreover, to prevent memorizing the letters by the participants, the questions were resumed from one upper line, and the type of the chart changed in each step of the examinations. The data was recorded in special forms, and the visual acuity measurements converted to LogMAR for statistical analysis and the paired t-test was used for data analysis. P-Value less than 0.05 was considered significant. All the participants signed the informed consents.

Results

Our study included 70 participants (140 eyes) with a mean age of 26.2 ± 3.76 years (range 19–34 years). Fourteen participants were men, and 56 (80%) were women. The mean uncorrected visual acuity measured with the E-chart, by using three filters in both glare and non-glare conditions in each eye, was significantly better than the ETDRS chart (Table 1, Table 2, P < 0.0001).
Table 1

Comparison of uncorrected visual acuity (UCVA) between E-chart and Early Treatment Diabetic Retinopathy Study (ETDRS) chart in the right eye.

Mean differenceStd. deviationRange of the LogMAR (Logarithm of the Minimum Angle of Resolution). UCVA
P-value
LowerUpper
E-Chart + With glare vs. ETDRS + With glare−0.050.06−0.06−0.03P < 0.0001
E-Chart + Without glare vs. ETDRS + Without glare−0.060.06−0.08−0.05P < 0.0001
E-Chart + With glare + Red filter vs. ETDRS + With glare + Red filter−0.030.07−0.05−0.01P < 0.05
E-Chart + Without glare + Red filter vs. ETDRS + Without glare + Red filter−0.040.07−0.06−0.02P < 0.0001
E-Chart + With glare + Green filter vs. ETDRS + With glare + Green filter−0.020.04−0.03−0.01P < 0.0001
E-Chart + Without glare + Green filter vs. ETDRS + Without glare + Green filter−0.040.06−0.05−0.02P < 0.0001
E-Chart + With glare + Yellow filter vs. ETDRS + With glare + Yellow filter−0.040.05−0.05−0.03P < 0.0001
E-Chart + Without glare + Yellow filter vs. ETDRS + Without glare + Yellow filter−0.030.05−0.04−0.02P < 0.0001
Table 2

Comparison of uncorrected visual acuity (UCVA) between E-chart and Early Treatment Diabetic Retinopathy Study (ETDRS) chart in the left eye.

Mean differencesStd. deviationRange of the LogMAR (Logarithm of the Minimum Angle of Resolution). UCVA
P-value
LowerUpper
E-Chart + With glare vs. ETDRS + With glare−0.030.05−0.04−0.02P < 0.0001
E-Chart + Without glare vs. ETDRS + Without glare−0.040.05−0.05−0.03P < 0.0001
E-Chart + With glare + Red filter vs. ETDRS + With glare + Red filter−0.010.06−0.020.010.30
E-Chart + Without glare + Red filter vs. ETDRS + Without glare + Red filter−0.020.07−0.04−0.01P < 0.05
E-Chart + With glare + Green filter vs. ETDRS + With glare + Green filter−0.020.06−0.03−0.01P < 0.05
E-Chart + Without glare + Green filter vs. ETDRS + Without glare + Green filter−0.020.06−0.04−0.01P < 0.05
E-Chart + With glare + Yellow filter vs. ETDRS + With glare + Yellow filter−0.040.05−0.05−0.02P < 0.0001
E-Chart + Without glare + Yellow filter vs. ETDRS + Without glare + Yellow filter−0.030.05−0.04−0.02P < 0.0001
The mean uncorrected visual acuity after using the red filter in glare conditions showed no significant differences between the two charts in the left eye (P > 0.05). In similar light and filter conditions, the mean visual acuity of the right and left eyes compared to each other showed significant differences (P < 0.0001). Table 3 presents the correlation of visual acuity of right and left eyes in E-chart and ETDRS in different light conditions.
Table 3

Correlation of the mean visual acuity between right and left eyes in the E-Chart and Early Treatment Diabetic Retinopathy Study (ETDRS) chart.

Correlation coefficientP-value
E-Chart + With glare0.3260.006
E-Chart + Without glare0.3520.003
ETDRS + With glare0.427<0.0001
ETDRS + Without glare0.3100.009
E-Chart + With glare + Red filter0.3660.002
E-Chart + Without glare + Red filter0.3750.001
E-Chart + With glare + Green filter0.1230.312
E-Chart + Without glare + Green filter0.2690.024
E-Chart + With glare + Yellow filter0.3420.004
E-Chart + Without glare + Yellow filter0.3730.001
ETDRS + With glare + Red filter0.3460.003
ETDRS + Without glare + Red filter0.441<0.0001
ETDRS + With glare + Green filter0.2660.026
ETDRS + Without glare + Green filter0.2590.031
ETDRS + With glare + Yellow filter0.3740.001
ETDRS + Without glare + Yellow filter0.2420.044

Discussion

Visual function after refractive surgery may be affected by several factors including a rise in spherical aberration, coma and other higher order aberrations, and dry eye.3, 4 Since the E-chart is commonly used in Iran as a visual acuity measurement tool, we decided to evaluate the quantitative difference of visual acuity measurements by ETDRS and E-chart in different light conditions using three color filters in post PRK patients. According to the results, in most cases, i.e. in glare and non-glare conditions with all three color filters in both the right and the left eyes, the mean visual acuity measured with the E-chart was significantly better than the ETDRS chart (P < 0.0001) (Table 1, Table 2). This finding is very similar to the results of a study by Thorn et al in 1990 in which grating visual acuity was shown to be little affected by optical blur while the Snellen visual acuity was markedly affected by optical blur. In our study, since all optotypes in the E-chart are similar to each other and also similar to grating and because the spatial frequency changes from one line to the other, the person should only detect (resolute) the direction of the letters. On the other hand, in the ETDRS chart which contains letters, in addition to the identification of the target (resolution acuity), the person should remember the name of the target as well (recognition acuity), i.e. besides the change in the spatial frequency, visual acuity is also influenced by perception and cognition. In other words, according to this study, although little optical blur makes the person identify many target details, lack of accurate localization hinders the ability of the person to detect the orientation or shape of a letter in a line or its relationship with other lines. Our results contradicted the findings of Iryna et al in 2008, which compared the Snellen and ETDRS charts, and also the findings of Wittich et al in 2006, which compared the ETDRS and Landolt C chart. In both studies, the visual acuity measured with the ETDRS chart (recognition ability) was better than the other chart (resolution acuity). However, it should be mentioned that these studies were conducted on patients with retinal pathologies. Iryna et al attributed the better response to the ETDRS chart to the design defects of the Snellen chart, especially in the upper lines of the chart. Wittich et al stated that when the retina was injured, the patients used the details of the letters like the curves and diagonals, when compared to gap detection in the resolution chart, to provide better responses to the letter chart. Moreover, letters with more complex shapes facilitated the cognitive process of the brain cortex. The age range of the participants in this study was higher than our patients, and the patients had eccentric fixation due to macular problems. Our findings were also different from the results reported by Plainis et al in 2013. They reported that letter optotypes, due to cognitive compensatory mechanisms, resulted in better vision when compared with the tumbling E-chart in normal people and that orientation identification was more difficult than letter discrimination in normal people. However, these results are not true in patients with retinal pathologies. Another interesting point in this study was that despite the similar nature of the Landolt C and tumbling E-chart, the patients responded better to the E-chart, which could be due to differences in their spatial characteristics, and since the tumbling E is similar to grating, it is less influenced by optical blur. Some other studies have also found no clinically significant differences in the visual function when comparing visual acuity measured by recognition acuity and resolution acuity charts.7, 22, 23, 24 The reason why our patients had a better visual acuity with the E-chart could be evaluated from different aspects: One of the reasons could be the limitation in the number of optotypes in the ETDRS versus the E-chart since the patients had a weaker chance of guessing. This finding is different from the results of a study by Dobson in 2009 that reported that participants had a better visual acuity when using charts with fewer optotypes. However, in that study, the optotypes were different in the two evaluated charts while we used letters in both charts. Since the ETDRS chart uses alphabets and maybe requires a higher cognitive level, it is more difficult to respond to it. In other words, identification of the letters of the ETDRS chart, apart from resolution acuity, required recognition acuity as well. Even if the E-chart is unclear, identification of the orientation of the letters is somehow possible for the patients, and the patients have 50% chance of guessing the orientation of the letter. Moreover, it seems that letter confusion is more apparent in letters with curved components. Although our patients were 19–34 years old and familiar with the English alphabet, it is important to retrain the patients before the test. In other words, Iranian people recognize the letter “E” as a symbol rather than a letter, a shape that has 3 limbs, and the 3 limbs can be arranged in 4 or 6 ways. However, this non-familiarity was a confounder, as well. In our study, it was interesting that after using the red filter in glare conditions and the resulting decreased visual acuity, no significant difference was observed between the two charts in the left eye (P > 0.05) (Table 2) which was opposite to the results of the studies by Wittich in 2006, Peter in 2009, and Iryna in 2008. According to these studies, the difference between the two charts is more obvious in patients with worse visual acuity. It should be remembered that the participants had different retinal pathologies in the three studies. However, after using the red filter in glare conditions, a significant difference was observed between the two charts in the right eye (P < 0.0001) (Table 1). Furthermore, in similar light and filter conditions, we found differences when comparing the mean difference of visual acuity between the left and the right eye; the mean difference in the right eye was 0.01–0.02 LogMAR better than the left eye in most conditions (P < 0.0001), which could be due to eye dominancy. In general, the visual cortex neurons do not receive similar input from both eyes, and the dominant eye transfers more data to cortex layers and has a priority in visual processing and cognition. Some studies have also shown that the right eye is dominant in most people,26, 27 which is why the patients had a better visual acuity in the right eye in most conditions. In summary when the participants experienced similar light conditions and visual adaptability, they had a better visual acuity with the E-chart versus the ETDRS chart. This result was obtained in Iranians as non-English speakers, which could be due to easier prediction of the letters and their orientation rather that their perception. Changes in the spectral and light conditions had no apparent effects on their perception, which is of clinical importance.
  25 in total

1.  The development of a "reduced logMAR" visual acuity chart for use in routine clinical practice.

Authors:  D A Rosser; D A Laidlaw; I E Murdoch
Journal:  Br J Ophthalmol       Date:  2001-04       Impact factor: 4.638

2.  CONTOUR INTERACTION AND VISUAL RESOLUTION: CONTRALATERAL EFFECTS.

Authors:  M C FLOM; G G HEATH; E TAKAHASHI
Journal:  Science       Date:  1963-11-15       Impact factor: 47.728

3.  Repeatability of visual acuity measurement.

Authors:  T W Raasch; I L Bailey; M A Bullimore
Journal:  Optom Vis Sci       Date:  1998-05       Impact factor: 1.973

4.  Visual performance with night vision goggles after photorefractive keratectomy for myopia.

Authors:  Prem S Subramanian; Barbara O'Kane; Raymond Stefanik; James Stevens; Jeff Rabin; Robert M Bauer; Kraig S Bower
Journal:  Ophthalmology       Date:  2003-03       Impact factor: 12.079

Review 5.  Ophthalmic test types. A review of previous work and discussions on some controversial questions.

Authors:  A G Bennett
Journal:  Br J Physiol Opt       Date:  1965

6.  [Comparison of visual acuity measured using Landolt-C and ETDRS charts in healthy subjects and patients with various eye diseases].

Authors:  R Becker; G Teichler; M Gräf
Journal:  Klin Monbl Augenheilkd       Date:  2011-10-13       Impact factor: 0.700

7.  Comparison of Epi-LASIK and off-flap Epi-LASIK for the treatment of low and moderate myopia.

Authors:  Maria I Kalyvianaki; George D Kymionis; George A Kounis; Sophia I Panagopoulou; Michael A Grentzelos; Ioannis G Pallikaris
Journal:  Ophthalmology       Date:  2008-12       Impact factor: 12.079

8.  Macular thickness, retinal thickness, and optic disk parameters in dominant compared with nondominant eyes.

Authors:  Chameen Samarawickrama; Jie Jin Wang; Son C Huynh; Xiu Ying Wang; George Burlutsky; Fiona Stapleton; Paul Mitchell
Journal:  J AAPOS       Date:  2009-04       Impact factor: 1.220

9.  A prospective, contralateral eye study comparing thin-flap LASIK (sub-Bowman keratomileusis) with photorefractive keratectomy.

Authors:  Stephen G Slade; Daniel S Durrie; Perry S Binder
Journal:  Ophthalmology       Date:  2009-06       Impact factor: 12.079

10.  A comparison of Lea Symbol vs ETDRS letter distance visual acuity in a population of young children with a high prevalence of astigmatism.

Authors:  Velma Dobson; Candice E Clifford-Donaldson; Joseph M Miller; Katherine A Garvey; Erin M Harvey
Journal:  J AAPOS       Date:  2009-04-05       Impact factor: 1.220

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