Skip to main content
  • Research article
  • Open access
  • Published:

The impact of age-related cataracts on colour perception, postoperative recovery and related spectra derived from test of hue perception

Abstract

Background

Cataract patients were always excluded from studies on ageing of colour vision; thus, effect of age-related cataracts on deterioration of colour perception has not been analysed. In present study, impacts of age-related cataracts on colour discrimination, postoperative recovery and related spectra were investigated.

Methods

In this cohort study, thirty age-related cataract patients scheduled for binocular surgery and 30 elderly volunteers were enrolled. Colour discrimination under photopic (1000 lx) and mesopic (40 lx) conditions was evaluated with Farnsworth-Munsell 100-hue test. The total error score (TES) and partial error score (PES) were calculated.

Results

Preoperatively, the TES in the patient group was 129.7 ± 59.5 at 1000 lx and 194.6 ± 74.5 at 40 lx, exhibiting worse discrimination than the volunteer group (TES1000lux = 71.5 ± 37.5 and TES40lux = 113.1 ± 38.8, p ≤ 0.001). Inferior perception were detected in the yellow to green-yellow (Y-GY), green-yellow to green (GY-G), green to blue-green (G-BG) and blue-green to blue (BG-B) colour bands (p ≤ 0.003), corresponding to the 470 nm–580 nm range of the visible light spectrum. Under mesopic conditions, the impact expanded to all colour bands except for yellow-red to yellow (YR-Y). Postoperatively, the TES in the patient group were 80.4 ± 62.4 at 1000 lx and 112.0 ± 85.2 at 40 lx, which were lower than those of the preoperative phase (p ≤ 0.001) but similar to those of the volunteer group (p ≥ 0.505). Postoperative improvement occurred in the Y-GY, GY-G and G-BG colour bands (490 nm to 580 nm) at 1000 lx (p ≤ 0.001) and shifted to the Y-GY, GY-G, G-BG and BG-B colour bands (470 nm to 580 nm) at 40 lx (p ≤ 0.001). Deterioration of hue perception for decrement of illumination was detected in the red to yellow-red (R-YR), Y-GY, G-BG, BG-B, blue to purple-blue (B-PB) and red-purple to red (RP-R) colour bands (450 nm to 500 nm) in the volunteer group (p ≤ 0.002) and the R-YR, G-BG, BG-B, B-PB, PB-P and red-purple to red (RP-R) colour bands (from the short-wavelength end to 500 nm) in the patient group preoperatively (p ≤ 0.001).

Conclusions

Phacoemulsification could effectively rebuild colour perception in patients with age-related cataract. The postoperative benefits were most significant in colour bands corresponding with spectrum from 470 nm to 580 nm.

Peer Review reports

Background

Colour vision is an essential part of visual function. The perception of colour encompasses light transmittance via the optical system (i.e., cornea, pupil and crystalline lens), signal initiation in photoreceptors, transduction of post-receptor channels and decoding in the visual cortex [1,2,3,4]. All elements of human colour vision are significantly affected by ageing [5,6,7]. Based on electrophysiological measurements [8, 9] and psychophysical tasks [6, 10,11,12,13,14,15], investigators have confirmed that due to ageing, colour discrimination primarily declined along the yellow-blue axis. In these studies, elderly individuals with cataracts were excluded because cataracts severely reduce contrast in retinal images, thereby affecting colour constancy prerequisites [16,17,18]. Deteriorations in colour perception resulting from age-related cataracts have yet to be analysed. After cataract surgery, the pseudophakic eye is a model free from the effects of lenticular senescence. Intensive research on colour discrimination before and after cataract surgery is essential to current knowledge about colour perception and will provide valuable insight on the effects of ageing on colour vision.

By testing for achromatic settings [19, 20] and minimum motion task [21], studies have confirmed differences in perceiving short-wavelength light between patients with senile cataracts and patients undergoing cataract surgery. However, due to the lack of comparisons between the lens of middle-aged volunteers and mildly aged lens, the status of colour vision after cataract surgery has not been discussed in the context of postoperative benefits; instead, researchers have simply named this condition as cyanopsia [22]. Past studies have only measured sensitivity to lights within specific spectral ranges. Changes in colour discrimination over the entire visible spectrum have not been comprehensively assessed; as such, data on postoperative benefits in colour vision are lacking. The range of spectra corresponding to benefits in colour perception may be an important factor affecting the optimal filtering property of intraocular lens in balancing macular protection and visual quality. Clinical studies should be designed to determine enhanced colour perception after cataract surgery and to identify related light spectra.

The purpose of our study is to assess colour discrimination due to age-related cataracts and phacoemulsification surgery. By using the Farnsworth-Munsell (FM) 100-hue test, changes in colour discrimination and corresponding spectra were examined. Our findings suggested that lens opacity and postoperative benefits on colour vision were most significant in colour bands corresponding to light wavelengths from 470 nm to 580 nm.

Methods

Patients and study population

A cohort study was conducted. In the patient group, participants were recruited from patients who were referred for cataract surgery in the Department of Ophthalmology of Peking University Third Hospital from January 2014 through April 2015. The inclusion criteria included diagnosis of binocular age-related cataract, eligibility for bilateral surgery, a d corrected distant visual acuity (CDVA) difference between right eye and left eye of less than 2 lines, compatibility of lens opacity classification between right eye and left eye, between 60 and 80 years of age, in good general health with no ocular pathologic features other than age-related cataract and no history of colour-vision deficiency. Exclusion criteria included previous ocular surgery or laser treatment, a postoperative CDVA worse than 20/25, previous or current use of medications known to cause colour-vision deficiency, failure to pass a colour-screening test (Ishihara plate test), intraoperative or postoperative complications and detection of macular disease in fundus examination at preoperative phase or postoperative phase. To exclude known impacts on colour vision [23], subjects with diabetes or subjects with impaired fasting glucose were excluded from the study. A control group was formed using elderly volunteers, who came to our hospital for presbyopic prescriptions. Other than a crystalline lens without cortical or posterior subcapsular opacity in the pupil area and graded less than NO-3 or NC-3 (no more than NO-2.9 or NC-2.9) [24, 25] by the LOCS-III criteria [26] under slit-lamp examination, the inclusion and exclusion criteria for the control group were the same as those for the patient group. For the critical criteria of lens opacity, the age range of control group was broadened to 50 to 80 years. This research was approved by the Peking University Third Hospital Medicine Ethics Committee (IRB00006761–2012046) and was conducted in accordance with the Declaration of Helsinki. Informed written consent was obtained from each participant.

The sample size was calculated by PASS software, version 2011 (NCSS, LLC, Kaysville, UT, USA). The TES data of the first 15 cases in the patient group at the very beginning (details in Additional files 1, 2, 5 and 6) were used in the calculation for sample size. A paired design was employed (with significance level alpha of 0.05 and power level of 90%), which suggested a minimum sample size of 30 cases under photopic condition and 22 cases under mesopic condition for the detection of changes in overall colour perception.

Surgical procedures and ophthalmological examinations

Intervention was standard minimal incision phacoemulsification with topical anaesthesia. An aspherical, monofocal, non-yellow-tinted IOL (Tecnis Fordable Acrylic Intraocular Lenses, ZA9003, Abbott Medical Optics, Inc.) was inserted through a private injector and cartridge into the capsular bag. After surgery, the patients were treated with a combination of levofloxacin (Gravit) eye drops and prednisolone acetate (Pred Forte) ophthalmic suspension 4 times per day for 1 week, the frequency of which was then gradually reduced. All cataract surgeries were performed by one experienced surgeon (W.W.).

Refraction, Snellen CDVA under standard condition with logarithm of the minimum angle of resolution (logMAR) conversion, slit-lamp biomicroscopy, fundoscopy, and non-contacted tonometry were performed at all visits (i.e., baseline and 1-day, 1-week, 1-month and 3-month, postoperatively). Cataracts were classified and graded according to LOCS-III criteria under slit-lamp examination at baseline under mydriasis by 0.5% tropicamide. All subjects were examined by two experienced physicians (ZQ.H. and WQ.Q.).

Colour perception test

The FM 100-hue test has a standard eighty-five stimuli of different hues, i.e., the same saturation and coverage as the whole visible spectrum [27]. This test can be used to assess colour vision based on a total error score or the deterioration of colour perception to special hues or along single colour axes based on partial error score. The FM 100-hue test is a simple and relatively sensitive test and has been widely used in examining the effects of achromatopsia [28], optic neuropathy [29, 30], diabetic retinopathy [23, 31] and IOL on colour perception [32]. In the present study, colour discrimination was measured using the FM 100-hue test. Colour vision and aptitude abnormalities were detected by the subject’s ability to place removable colour reference caps in order of hue. The colour discrimination test was carried out at baseline and 1-month, postoperatively. Patients rested for 15 min before taking the FM 100-hue test. The test was performed binocularly with spectacle correction, if necessary. The test procedure was implemented according to manufacturer instructions. Patients took the entire test under both mesopic and photopic conditions with an interval of 10 min between conditions. The photopic condition was set up with an illumination of approximately 1000 lx and the mesopic condition with an illumination of approximately 40 lx.

The error scores were calculated by FM 100-hue test scoring software (version 3.0). A total error score (TES) and the score of every colour cap test were recorded under each condition. The TES represents a general colour perception capability. Partial error scores (PES) for 10 colour bands were calculated to assess hue discrimination. The colour bands were: red to yellow-red (R-YR), yellow-red to yellow (YR-Y), yellow to green-yellow (Y-GY), green-yellow to green (GY-G), green to blue-green (G-BG), blue-green to blue (BG-B), blue to purple-blue (B-PB), purple-blue to purple (PB-P), purple to red-purple (P-RP) and red-purple to red (RP-R). To explore the relationship between colour perception and sensitivity to visible light, colour bands in the Munsell system were correlated with the Commission Internationale de L’Eclairage (CIE) chromaticity diagram, and wavelengths related to surface colour were identified. According to the CIE diagram and past studies that approximated light wavelength ranges with Munsell Farnsworth’s diagram [27], the R-YR, YR-Y, Y-GY, GY-G, G-BG, BG-B, B-PB and PB-P colour bands corresponded with wavelengths of end of long wavelength to 590 nm, 590 nm to 580 nm, 580 nm to 560 nm, 560 nm to 500 nm, 500 nm to 490 nm, 490 nm to 470 nm, 470 nm to 450 nm and 450 nm to the end of short wavelength, respectively. As the complementary colours of green to yellowish green, the P-RP and RP-R colour bands correspond to 560 nm to 500 nm.

Statistical analysis

Statistical analysis was performed using SPSS software, version 16.0 (SPSS, Inc., Chicago, IL, USA). Data distribution normality was checked by the Kolmogorov-Smirnoff-Lillefors test. Descriptive statistics for continuous variables normally distributed were reported as the means ± standard deviations (SD). Variables not normally distributed were described as median and range. Frequency distribution and percentages were used for nominal variables. Continuous variables were compared using a two-tailed 2-sample t-test or two-tailed paired t-test when data displayed normal distributions; the Wilcoxon rank-sum test was used for non-normal distributions. Pearson’s chi-square test was adopted to analyse the proportions of categorical data. Pearson correlation analysis was employed to detect potential correlations between lens opacity and colour perception. The level of statistical significance (the alpha level) was p < 0.05. For PES data, this value was 0.0045 for Bonferroni’s correction (0.05 of 11) [33, 34].

Results

Demographic characteristics of participants

A total of 30 patients (18 females and 12 males with the age of 69.6 ± 7.1) were recruited from 426 candidates invited to a screening for the study (7%). Preoperative CDVA was 0.39 ± 0.17 for the right eye and 0.42 ± 0.20 for the left eye, which was comparable between the two eyes (Wilcoxon signed ranks test, p = 0.261).

Two physicians (ZQ.H. and WQ.Q.) classified the lens opacity, and a mean of the two graders’ classification was used. The mean grading score of lens opacity by the LOCS-III criteria for the right eye was 3.50 ± 0.70 for nuclear colour (NC), 3.30 ± 0.60 for nuclear opalescence (NO), 3.49 ± 0.86 for cortical opalescence (C) and 0.84 ± 0.81 for posterior subcapsular opalescence (P). For the left eye, the score was 3.51 ± 0.67 for NC, 3.40 ± 0.72 for NO, 3.28 ± 0.92 for C and 0.70 ± 0.69 for P. The results between the two observers were consistent for right eye NC (paired t-test, p = 0.313), NO (paired t-test, p = 0.740), C (paired t-test, p = 0.508), P (paired t-test, p = 0.879) and left eye NC (paired t-test, p = 0.100), NO (paired t-test, p = 0.910), C (paired t-test, p = 0.117), and P (paired t-test, p = 0.823). These results suggested that cortical and nuclear cataracts were the main cataract types in our study. Scores of LOCS-III were compatible between the two eyes in terms of NC (paired t-test, p = 0.753), NO (paired t-test, p = 0.233), C (paired t-test, p = 0.222) and P (paired t-test, p = 0.284).

Thirty volunteers (22 females and 8 males) with an average age of 61.1 ± 7.5 years were enrolled in the volunteer group. No differences were found between the two groups in the distribution of sex (Pearson’s chi-square test, p = 0.273). For the inclusion criteria of crystalline lens, graded less than NO-3 or NC-3 (no more than NO-2.9 or NC-2.9), the subjects in the volunteer group were significantly younger than those in the patient group (2-sample t test, p ≤ 0.001).

Effects of age-related cataracts on colour perception

Age-related cataracts severely interfered with colour perception in elderly people. Under photopic condition, colour perception was significantly worse in the patient group (TES of 129.7 ± 59.5) than in the volunteer group (TES of 71.5 ± 37.5, 2-sample t test, p ≤ 0.001). Hue perception investigations indicated a significantly higher PES in the R-YR, Y-GY, GY-G, G-BG, BG-B and P-RP colour bands in the patient group (2-sample t test, p ≤ 0.003). The PES values under photopic condition are presented in Table 1. Under mesopic condition, TES in the patient group was 194.6 ± 74.5, which was significantly higher than that in the volunteer group (113.1 ± 38.8, 2-sample t test, p ≤ 0.001). Hue discrimination inferiority expanded to most colour bands around the FM circuit except for the YR-Y band (2-sample t test, p = 0.079; Table 2). These results suggested that the impact of age-related cataracts on hue discrimination was significant in surface colours corresponding to light wavelengths from 470 to 580 nm. This impact shifts to colour bands associated with light wavelengths of 580 nm to the short-wavelength end under mesopic condition. The error scores of each patient at preoperative phase are listed in Additional files 1 and 2. The error scores of each volunteer in the volunteer group are listed in Additional files 3 and 4.

Table 1 Error scores in colour bands of FM 100-hue test under photopic condition
Table 2 Error scores in colour bands of FM 100-hue test under mesopic condition

Under photopic condition (Table 3), NC classification was correlated with the BG-B error score (r = 0.443, p = 0.014) and NO classification was correlated with the BG-B (r = 0.451, p = 0.012) and B-PB (r = 0.384, p = 0.036) error scores. Under mesopic condition (Table 4), NC classification was correlated with the G-BG (r = 0.463, p = 0.010), BG-B (r = 0.466, p = 0.009) and B-PB (r = 0.489, p = 0.006) error scores and NO classification was correlated with TES (r = 0.416, p = 0.022) and the G-BG (r = 0.499, p = 0.005), BG-B (r = 0.416, p = 0.022), P-RP (r = 0.475, p = 0.008) and RP-R (r = 0.485, p = 0.007) error scores.

Table 3 Correlation coefficient in Pearson correlation analysis between error score in FM 100-Hue and lens opacity classification by LOCS III under photopic condition
Table 4 Correlation coefficient in Pearson correlation analysis between error score in FM 100-Hue and lens opacity classification by LOCS III under mesopic condition

Values are presented as the means ± standard deviation. For comparisons between the volunteer group and the patient group, a 2-sample t-test was employed for continuous variables; for intra-individual comparisons between the preoperative phase and the postoperative phase, a paired t-test was used for continuous variable. * indicates significance after Bonferroni’s correction.

Values are presented as the means ± standard deviation. For comparisons between the volunteer group and the patient group, a 2-sample t-test was employed for continuous variables; for intra-individual comparisons between the preoperative phase and the postoperative phase, a paired t-test was used for continuous variable. * indicates significance after Bonferroni’s correction.

Results in the table are correlation coefficients, * indicates significance (p < 0.05) in Pearson correlation analyses.

Results in the table are correlation coefficients, * indicates significance (p < 0.05) in Pearson correlation analyses.

Postoperative recovery of colour perception

After cataract surgery, general colour perception (TESphotopic = 80.4 ± 62.4 and TESmesopic = 112.0 ± 85.2) significantly improved compared with that at preoperative phase (paired t-test, p ≤ 0.001) and recovered to a level comparable with that of the volunteer group (2-sample t test, pphotopic = 0.505 and pmesopic = 0.951). There were no significant differences in hue discrimination between the patient group at postoperative phase and the volunteer group according to the PES of the 10 colour bands under photopic or mesopic conditions (2-sample t test, p ≥ 0.021). The results demonstrated that phacoemulsification could effectively restore colour discrimination in patients with age-related cataracts.

In the patient group, further analyses were conducted to locate colour bands and the associated spectra associated with postoperative changes. Postoperative photopic hue perception changes were detected in the R-YR, Y-GY, GY-G, G-BG and RP-R colour bands (paired t-test, p ≤ 0.001). Under mesopic condition, postoperative hue perception changes expanded to the R-YR, Y-GY, GY-G, G-BG, BG-B, P-RP and RP-R colour bands (paired t-test, p ≤ 0.002). This analysis revealed that a postoperative hue perception improvement occurred in colour bands correlated with light wavelengths from 490 nm to 580 nm under photopic condition. Under mesopic condition, sensitivity in colour discrimination expanded to colour bands within the visible spectrum from 470 nm to 580 nm. Postoperative hue discrimination data under photopic condition are presented in Table 1; error scores of each patient are provided in Additional file 5. Data under mesopic condition are listed in Table 2; error scores of each patient are provided in Additional file 6.

Changes of colour discrimination under mesopic condition

Paired comparisons of error scores under mesopic condition and photopic condition were used to assess the effects of illuminative changes on colour discrimination. Under mesopic condition, increased TES were observed in the volunteer group and patient group for deteriorating general colour perception at both preoperative and postoperative phases (paired t-test, p ≤ 0.005). In the volunteer group (Fig. 1A), significant differences were found in the R-YR, Y-GY, G-BG, BG-B, B-PB and RP-R colour bands (paired t-test, p ≤ 0.002), corresponding with light wavelengths of 450 nm to 500 nm. Preoperatively, hue discrimination changes at different illumination levels indicated significant differences in PES in the patient group were detected in the R-YR, G-BG, BG-B, B-PB, PB-P and RP-R the colour bands (paired t-test, p ≤ 0.001, Fig. 1B), corresponding with light wavelengths ranging from the short-wavelength end to 500 nm. Postoperatively, only performances in the R-YR colour band manifested significant difference between the two illumination levels (paired t-test, p = 0.001, Fig. 1C). At low levels of illumination, these results indicated a severe colour perception decline in eyes with mild nuclear sclerosis to surface colours correlated with 500 nm to 450 nm. In eyes with age-related cataracts, this impact broadens to colours correlated with 500 nm to the short wavelength end. However, pseudophakic eyes maintained relatively stable hue perception under mesopic condition.

Fig. 1
figure 1

Hue discrimination under different illuminative levels. Colour perception was adversely affected by decreased illuminative level. Illuminative level of photopic and mesopic condition was 1000 lx and 40 lx, respectively. (a) In the control group, significant deterioration of hue perception under mesopic condition was found in bands of R-YR, Y-GY, G-BG, BG-B, B-PB and RP-R (p ≤ 0.002). (b) Preoperatively, the patient group manifested worse hue perception in colour bands of R-YR, G-BG, BG-B, B-PB, PB-P and RP-R (p ≤ 0.001). (c) In the postoperative phase, decline of hue perception was detected in the separate band of R-YR (p = 0.001). Error bars show standard deviation

Discussion

The aim of this study was to evaluate the impact of age-related cataracts on colour perception and recovery after phacoemulsification surgery. We also identified correlated spectra by comparing the surface colours of the Munsell system in the CIE diagram. Our results showed that colour discrimination was significantly affected by age-related cataracts. Cataract surgery effectively restored colour perception in the elderly; postoperative hue discrimination was comparable with volunteers approximately 8 years younger. The increase in photopic colour bands primarily corresponded with light wavelengths from 490 nm to 580 nm, which shifted to 470 nm to 580 nm under mesopic condition.

We employed the FM 100-hue test as a tool to evaluate the effects of age-related cataracts on hue discrimination and expanded the measurement scale to colour perception across the entire visible spectrum. For complex interactions between colour signals from the two eyes and the effects of colour constancy [3, 17], we recruited patients undergoing binocular cataract surgery and binocularly tested colour perception. To ensure the compatibility of visual signals between the two eyes, we required as inclusion criteria, compatible binocular visual acuity and lens opacity score. Compared with the volunteer group, postoperative colour vision enhancements were verified. When correlated with the CIE chromaticity diagram, the corresponding light wavelength spectra were determined.

Using minimum motion tasks [21] and potential latency measurements [8], previous studies have observed significant declines in sensitivity to monochromatic blue lights in elderly participants with mild nuclear sclerosis. Investigators have also analysed colour discrimination to certain colour axes by vector lengths when using the Cambridge Colour Test [6] and colour matching experiments [11]; profound age-related impacts on discrimination along the blue-yellow axis were reported. In our study, age-related cataracts profoundly impacted colour discrimination. Under photopic condition, the deterioration of colour perception primarily occurred for the continuous Y-GY, GY-G, G-BG and BG-B colour bands. Our data further confirmed the adverse effects of age-related cataracts on surface colour hue perception of yellow, greenish yellow, yellow green, greenish blue and blue colours along the blue-yellow axis. This result was consistent with previous studies and verified the similarity of physiological mechanisms between age-related cataracts [35] and nuclear sclerosis. In our study, the affected colour bands broadened to include yellowish green, green and bluish green surface colours associated with the red-green axis. This result indicate that cataracts significantly interfere with the contrast and saturation of retinal images, which are crucial factors affecting colour vision test performance for the elderly [11], and cause a more extensive hue sensitivity decline. According to correlation analysis on lens opacity and the error scores of FM 100-Hue, yellowing and lens nucleus opacity may be the main factors that impact colour perception. Colour perceptions of greenish blue and blue were more vulnerable to these changes.

Past studies have indicated that the ageing natural lens becomes a strong filter attenuating transmittance of all visible light, especially at short wavelengths (i.e., 400–550 nm) [36]. This filtering effect significantly increases after 60 years of age [37]. The transmittance decreases with age by 0.8–0.85% per year for blue light and 0.28–0.5% per year for green light [38, 39]. Reported decreasing values for light wavelengths from 400 nm to 550 nm ranged from 24 to 53% [36, 37, 40]. In the present study, age-related cataracts adversely affected hue discrimination corresponding to light wavelengths from 470 nm to 580 nm under photopic condition. Compared with normal ageing, the affected spectrum was skewed towards moderate wavelengths. The point at long-wavelengths of the skewness could be attributed to the severe attenuation of visible light by cataracts, which would then expand the affected spectrum range. Mild nuclear sclerosis in our control group could be an explanation for the point at the short-wavelengths of the skewness. Normal ageing lens in the control group leads to the decline of transmittance in the short wavelength range, which concealed differences in colour bands correlated with light wavelengths less than 470 nm.

The IOL effects on colour perception after cataract surgery has been measured using achromatic-point setting tests [19], colour contrast sensitivity tests along tritan axis [41] and minimum motion tasks for red-blue iso-illumination values [21]. The results of these studies, derived from patient groups implanted with UV light-filtering IOL, verified our observed significant increases in sensitivity along the yellow-blue axis after cataract surgery. However, no observable hue perception trend across the entire colour spectrum has been reported. In the present study, to avoid the effects of blue light-filtering IOL on perception along the blue-yellow axis or sensitivity to blue light spectrum under mesopic light condition [32, 42], we recruited patients implanted with UV light-filtering IOL in the patient group. PES analyses on the FM circuit revealed that postoperative photopic hue discrimination changes were most prominent in yellow, greenish yellow, yellow green, yellowish green, green and bluish green surface colours, which broadened to include greenish blue under mesopic condition. When compared with younger volunteers, our results confirmed colour perception benefits of cataract surgery. Past studies have also verified that with long-term adjustments and compensation to achieve colour constancy [10, 13, 17, 43], the ageing visual pathway remained sufficiently sensitive to discriminate subtle colour appearances as in younger visual systems. Unlike the prolonged course of age-related cataracts, phacoemulsification surgery instantly restored the transparency of ocular media but did not modulate the increased signals. This may be a key point in interpreting subjective experiences of colour appearance postoperative, which has been termed cyanopsia [22].

By observing chromatic renormalization, a large increase in the transmittance of lights with wavelengths below 500 nm after cataract surgery was verified [20]. Using the spot reflectometer technique, an improving factor of 4.0 has been reported for transmittance between 420 nm and 500 nm, whereas the average improvement was 1.3 between 500 nm and 750 nm [44]. In our study, the spectrum corresponding to postoperative colour vision improvement under photopic condition ranged from 490 nm to 580 nm, which shifted to 470 nm to 580 nm under mesopic condition. The improved colour vision after cataract surgery was a combined effect due to increased transmittance across the entire visible spectrum and filtered short-wavelength lights. Therefore, the affected spectra associated with the enhanced hue perception were not restricted to short-wavelengths; the direct measurements of light transmittance skewed towards the moderate-wavelengths.

Hue perception analyses under mesopic condition provided additional information on the transmitting property differences. At postoperative phase, in the patient group, no perception deterioration in continuous bands was observed. In the volunteer group with mild nuclear sclerosis, perception deterioration resulting from decreased illumination was restricted to colour bands associated with 450 nm to 500 nm wavelengths. At preoperative phase, in the patient group, for severe filtering and attenuating effects, impacts broadened to light wavelengths of 500 nm to short-wavelengths end. These results confirmed the differences between IOL and ageing lens in filtering light wavelengths below 500 nm [36,37,38,39,40]. To ensure a relatively stable hue perception under low illumination levels, an optimal IOL provides proper transmittance for light wavelengths longer than 450 nm.

There were several limitations in our study. The volunteer group was not exactly age-matched with the patient group; this may be a confounding factor in the study. However, the postoperative colour perception was comparable to that in the volunteer group, the average age of which was approximately 8 years younger. This demonstrated that lens ageing was the main factor in changes of colour vision as has been reported in a previous study [12]. In future studies, different age groups of young volunteers (40, 50 and 60-year-olds) and age-matched volunteer groups would be selected to explore postoperative colour vision changes and effects of age. Despite no significant differences in gender ratio, this factor remains a potential confounding factor. In future studies, a research design by gender grouping would be employed, and the differences in postoperative benefits resulting from gender difference could be investigated. Patients implanted with blue light-filtering IOL may be recruited in future studies, and differences in postoperative benefits in terms of colour vision would be compared with UV light-filtering IOL. The purpose of present study was to explore the impact of age-related cataracts on colour perception and subsequent recovery after cataract surgery; crystalline lens was only evaluated by grading LOCS-III scores. In future studies, quantification by Scheimpflug photography could be employed to illustrate the relationship between lens opacity and colour vision.

Conclusions

Age-related cataracts severely impacted the colour vision of patients. Phacoemulsification surgery effectively restored colour perception. The impacts of lens opacity and postoperative benefits were most significant in colour bands correlated with light wavelengths from 470 nm to 580 nm. In future studies, a perceptual learning system targeting this spectrum could be developed to facilitate adaptions to sudden improvements in colour perception. In consideration of relatively stable hue perceptions at different illumination levels, a reasonable transmittance in spectra with wavelengths longer than 450 nm may be an important factor affecting postoperative colour discrimination.

Abbreviations

BG-B:

Blue-green to blue

B-PB:

Blue to purple-blue

C:

Cortical opalescence

CDVA:

Corrected distant visual acuity

FM:

Farnsworth-Munsell

G-BG:

Green to blue-green

GY-G:

Green-yellow to green

logMAR:

Logarithm of the minimum angle of resolution

NC:

Nuclear colour

NO:

Nuclear opalescence

P:

Posterior subcapsular opalescence

PB-P:

Purple-blue to purple

PES:

Partial error score

P-RP:

Purple to red-purple

RP-R:

Red-purple to red

R-YR:

Red to yellow-red

SD:

Standard deviations

TES:

Total error score

Y-GY:

Yellow to green-yellow

YR-Y:

Yellow-red to yellow

References

  1. Danilova MV, Mollon JD. Foveal color perception: minimal thresholds at a boundary between perceptual categories. Vis Res. 2012;62:162–72.

    Article  CAS  PubMed  Google Scholar 

  2. Sabesan R, Schmidt BP, Tuten WS, Roorda A. The elementary representation of spatial and color vision in the human retina. Sci Adv. 2016;2:e1600797.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Conway BR. Color vision, cones, and color-coding in the cortex. Neuroscientist. 2009;15:274–90.

    Article  PubMed  Google Scholar 

  4. Xiao Y. Processing of the S-cone signals in the early visual cortex of primates. Vis Neurosci. 2014;31:189–95.

    Article  PubMed  Google Scholar 

  5. Smithson HE. S-cone psychophysics. Vis Neurosci. 2014;31:211–25.

    Article  PubMed  Google Scholar 

  6. Paramei GV, Oakley B. Variation of color discrimination across the life span. J Opt Soc Am A Opt Image Sci Vis. 2014;31:A375–84.

    Article  PubMed  Google Scholar 

  7. Werner A, Bayer A, Schwarz G, Zrenner E, Paulus W. Effects of ageing on postreceptoral short-wavelength gain control: transient tritanopia increases with age. Vis Res. 2010;50:1641–8.

    Article  CAS  PubMed  Google Scholar 

  8. Suzuki TA, Qiang Y, Sakuragawa S, Tamura H, Okajima K. Age-related changes of reaction time and p300 for low-contrast color stimuli: effects of yellowing of the aging human lens. J Physiol Anthropol. 2006;25:179–87.

    Article  PubMed  Google Scholar 

  9. Shinomori K, Werner JS. Impulse response of an S-cone pathway in the aging visual system. J Opt Soc Am A Opt Image Sci Vis. 2006;23:1570–7.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Wuerger S. Colour constancy across the life span: evidence for compensatory mechanisms. PLoS One. 2013;8:e63921.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Schneck ME, Haegerstrom-Portnoy G, Lott LA, Brabyn JA. Comparison of panel D-15 tests in a large older population. Optom Vis Sci. 2014;91:284–90.

    PubMed  PubMed Central  Google Scholar 

  12. Lillo J, Moreira H, Pérez del Tio L, Alvaro L, del Carmen Durán M. Basic color terms use by aged observers: lens aging and perceptual compensation. Span J Psychol. 2012;15:453–70.

    Article  PubMed  Google Scholar 

  13. Wuerger S, Xiao K, Fu C, Karatzas D. Colour-opponent mechanisms are not affected by age-related chromatic sensitivity changes. Ophthalmic Physiol Opt. 2010;30:653–9.

    Article  PubMed  Google Scholar 

  14. Beirne RO, McIlreavy L, Zlatkova MB. The effect of age-related lens yellowing on Farnsworth-Munsell 100 hue error score. Ophthalmic & Physiological Optics : the Journal of the British College of Ophthalmic Opticians. 2008;28:448–56.

    Article  Google Scholar 

  15. Kinnear PR, Sahraie A. New Farnsworth-Munsell 100 hue test norms of normal observers for each year of age 5-22 and for age decades 30-70. Br J Ophthalmol. 2002;86:1408–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Foster DH. Color constancy. Vis Res. 2011;51:674–700.

    Article  PubMed  Google Scholar 

  17. Werner A. Spatial and temporal aspects of chromatic adaptation and their functional significance for colour constancy. Vis Res. 2014;104:80–9.

    Article  PubMed  Google Scholar 

  18. Webster MA, Juricevic I, McDermott KC. Simulations of adaptation and color appearance in observers with varying spectral sensitivity. Ophthalmic & Physiological Optics : the Journal of the British College of Ophthalmic Opticians. 2010;30:602–10.

    Article  Google Scholar 

  19. Kitakawa T, Nakadomari S, Kuriki I, Kitahara K. Evaluation of early state of cyanopsia with subjective color settings immediately after cataract removal surgery. J Opt Soc Am A Opt Image Sci Vis. 2009;26:1375–81.

    Article  PubMed  Google Scholar 

  20. Delahunt PB, Webster MA, Ma L, Werner JS. Long-term renormalization of chromatic mechanisms following cataract surgery. Vis Neurosci. 2004;21:301–7.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Nguyen-Tri D, Overbury O, Faubert J. The role of lenticular senescence in age-related color vision changes. Invest Ophthalmol Vis Sci. 2003;44:3698–704.

    Article  PubMed  Google Scholar 

  22. Miyata A. Neutralization method for detecting the incidence of color perception changes after cataract surgery. J Cataract Refract Surg. 2015;41:764–70.

    Article  PubMed  Google Scholar 

  23. Shoji T, Sakurai Y, Sato H, Chihara E, Takeuchi M. Do type 2 diabetes patients without diabetic retinopathy or subjects with impaired fasting glucose have impaired colour vision? The Okubo color study report. Diabet Med. 2011;28:865–71.

    Article  CAS  PubMed  Google Scholar 

  24. Pan AP, Wang QM, Huang F, Huang JH, Bao FJ, Yu AY. Correlation among lens opacities classification system III grading, visual function index-14, pentacam nucleus staging, and objective scatter index for cataract assessment. Am J Ophthalmol. 2015;159:241–7 e2.

    Article  PubMed  Google Scholar 

  25. Grewal DS, Brar GS, Grewal SP. Correlation of nuclear cataract lens density using Scheimpflug images with Lens opacities classification system III and visual function. Ophthalmology. 2009;116:1436–43.

    Article  PubMed  Google Scholar 

  26. Chylack LT Jr, Wolfe JK, Singer DM, Leske MC, Bullimore MA, Bailey IL, et al. The lens opacities classification system III. The longitudinal study of cataract study group. Arch Ophthalmol. 1993;111:831–6.

    Article  PubMed  Google Scholar 

  27. Galbraith W, Marshall PN. A survey of transforms of the CIE 1931 chromaticity diagram with some new non-linear transforms and histological illustrations of their utility. Acta Histochem. 1985;77:79–100.

    Article  CAS  PubMed  Google Scholar 

  28. Bento-Torres NV, Rodrigues AR, Côrtes MI, Bonci DM, Ventura DF, Silveira LC. Psychophysical evaluation of congenital colour vision deficiency: discrimination between protans and deutans using Mollon-Reffin's ellipses and the Farnsworth-Munsell 100-hue test. PLoS One. 2016;11:e0152214.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Brasil A, Castro AJ, Martins IC, Lacerda EM, Souza GS, Herculano AM, et al. Colour vision impairment in young alcohol consumers. PLoS One. 2015;10:e0140169.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Gundogan FC, Tas A, Altun S, Oz O, Erdem U, Sobaci G. Color vision versus pattern visual evoked potentials in the assessment of subclinical optic pathway involvement in multiple sclerosis. Indian J Ophthalmol. 2013;61:100–3.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Raman R, Verma A, Srinivasan S, Bhojwani D. Partial reversal of color vision impairment in type 2 diabetes associated with obstructive sleep apnea. GMS Ophthalmol Cases. 2018;8:Doc05.

    PubMed  PubMed Central  Google Scholar 

  32. Zhu XF, Zou HD, Yu YF, Sun Q, Zhao NQ. Comparison of blue light-filtering IOLs and UV light-filtering IOLs for cataract surgery: a meta-analysis. PLoS One. 2012;7:e33013.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Noble WS. How does multiple testing correction work? Nat Biotechnol. 2009;27:1135–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Bouaziz M, Jeanmougin M, Guedj M. Multiple testing in large-scale genetic studies. Methods Mol Biol. 2012;888:213–33.

    Article  PubMed  Google Scholar 

  35. Michael R, Bron AJ. The ageing lens and cataract: a model of normal and pathological ageing. Philos Trans R Soc Lond Ser B Biol Sci. 2011;366:1278–92.

    Article  CAS  Google Scholar 

  36. Brøndsted AE, Lundeman JH, Kessel L. Short wavelength light filtering by the natural human lens and IOLs -- implications for entrainment of circadian rhythm. Acta Ophthalmol. 2013;91:52–7.

    Article  PubMed  Google Scholar 

  37. Artigas JM, Felipe A, Navea A, Fandiño A, Artigas C. Spectral transmission of the human crystalline lens in adult and elderly persons: color and total transmission of visible light. Invest Ophthalmol Vis Sci. 2012;53:4076–84.

    Article  PubMed  Google Scholar 

  38. Broendsted AE, Hansen MS, Lund-Andersen H, Sander B, Kessel L. Human lens transmission of blue light: a comparison of autofluorescence-based and direct spectral transmission determination. Ophthalmic Res. 2011;46:118–24.

    Article  PubMed  Google Scholar 

  39. Sakanishi Y, Awano M, Mizota A, Tanaka M, Murakami A, Ohnuma K. Age-related changes in spectral transmittance of the human crystalline lens in situ. Ophthalmologica. 2012;228:174–80.

    Article  PubMed  Google Scholar 

  40. Najjar RP, Teikari P, Cornut PL, Knoblauch K, Cooper HM, Gronfier C. Heterochromatic flicker photometry for objective lens density quantification. Invest Ophthalmol Vis Sci. 2016;57:1063–71.

    Article  PubMed  Google Scholar 

  41. Friström B, Lundh BL. Colour contrast sensitivity in cataract and pseudophakia. Acta Ophthalmol Scand. 2000;78:506–11.

    Article  PubMed  Google Scholar 

  42. da Costa MF, Júnior AP, Lottenberg CL, Castro LC, Ventura DF. Psychophysical measurements of luminance contrast sensitivity and color discrimination with transparent and blue-light filter intraocular lenses. Ophthalmol Ther. 2017;6:301–12.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kwon M, Legge GE, Fang F, Cheong AM, He S. Adaptive changes in visual cortex following prolonged contrast reduction. J Vis. 2009;9(20):21–16.

    Google Scholar 

  44. Giménez MC, Kanis MJ, Beersma DG, van der Pol BA, van Norren D, Gordijn MC. In vivo quantification of the retinal reflectance spectral composition in elderly subjects before and after cataract surgery: implications for the non-visual effects of light. J Biol Rhythm. 2010;25:123–31.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study was supported by the National Natural Science Foundation of China, No. 81600760. The sponsor or funding organization had no role in the design or conduct of this research.

Availability of data and materials

The datasets supporting the conclusions of this article are included in the article and in additional files.

Author information

Authors and Affiliations

Authors

Contributions

MA collected and analysed the data, wrote the main manuscript and was the major contributor in interpreting relationship between colour bands and light spectra. WW designed the study and interpreted the patient data of colour vision. XL organized the observers to participate in the study, interpreted the patient data of lens classification and was a major contributor in revision of the manuscript. WQ and ZH performed the ophthalmological examination, analyzed the data of lens classification. JS organized the observers to participate in the study, collected the data and was a contributor in interpreting relationship between colour bands and light spectra. All the authors have read and approved the final manuscript.

Corresponding author

Correspondence to Wei Wang.

Ethics declarations

Ethics approval and consent to participate

The research was approved by Peking University Third Hospital Medicine Ethics Committee (IRB00006761–2012046) and was conducted in accordance with the Declaration of Helsinki. Informed written consent was obtained from each participant.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

In a format of DOC, with a tile of Photopic TES and PES of the patient group at preoperative phase, describing the details of error scores of each patient at preoperative phase under photopic condition. (DOC 85 kb)

Additional file 2:

In a format of DOC, with a tile of Mesopic TES and PES of the patient group at preoperative phase, describing the details of error scores of each patient at preoperative phase under mesopic condition. (DOC 87 kb)

Additional file 3:

In a format of DOC, with a tile of Photopic TES and PES of the control group, describing the details of error scores of each volunteer in the control group under photopic condition. (DOC 87 kb)

Additional file 4:

In a format of DOC, with a tile of Mesopic TES and PES of the control group, describing the details of error scores of each volunteer in the control group under mesopic condition. (DOC 87 kb)

Additional file 5:

In a format of DOC, with a tile of Photopic TES and PES of the patient group at postoperative phase, describing the details of error scores of each patient at postoperative phase under photopic condition. (DOC 87 kb)

Additional file 6:

In a format of DOC, with a tile of Mesopic TES and PES of the patient group at postoperative phase, describing the details of error scores of each patient at postoperative phase under mesopic condition. (DOC 88 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ao, M., Li, X., Qiu, W. et al. The impact of age-related cataracts on colour perception, postoperative recovery and related spectra derived from test of hue perception. BMC Ophthalmol 19, 56 (2019). https://doi.org/10.1186/s12886-019-1057-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12886-019-1057-6

Keywords