Abstract
PURPOSE
To simulate the simultaneous contribution of optical zone decentration and pupil dilation on retinal image quality using wavefront error data from a myopic photorefractive keratectomy (PRK) cat model.
METHODS
Wavefront error differences were obtained from five cat eyes 19±7 weeks (range: 12 to 24 weeks) after spherical myopic PRK for −6.00 diopters (D) (three eyes) and −10.00 D (two eyes). A computer model was used to simulate decentration of a 6-mm sub-aperture relative to the measured wavefront error difference. Changes in image quality (visual Strehl ratio based on the optical transfer function [VSOTF]) were computed for simulated decentrations from 0 to 1500 μm over pupil diameters of 3.5 to 6.0 mm in 0.5-mm steps. For each eye, a bivariate regression model was applied to calculate the simultaneous contribution of pupil dilation and decentration on the pre- to postoperative change of the log VSOTF.
RESULTS
Pupil diameter and decentration explained up to 95% of the variance of VSOTF change (adjusted R2=0.95). Pupil diameter had a higher impact on VSOTF (median β=−0.88, P<.001) than decentration (median β= −0.45, P<.001). If decentration-induced lower order aberrations were corrected, the impact of decentration further decreased (β= −0.26) compared to the influence of pupil dilation (β= −0.95).
CONCLUSIONS
Both pupil dilation and decentration of the optical zone affected the change of retinal image quality (VSOTF) after myopic PRK with decentration exerting a lower impact on VSOTF change. Thus, under physiological conditions pupil dilation is likely to have more effect on VSOTF change after PRK than optical zone decentration.
While decreasing the amount of lower order aberrations (LOA), laser refractive surgery increases the amount of higher order aberrations (HOA)—mainly coma and spherical aberration—in the eye.1,2 Although overall HOA induction has been shown to be lower in wavefront-guided LASIK, inherent induction of coma and spherical aberration remained.3,4 The fact that keratorefractive surgery induces HOA has been known for a long time; however, the origin of the HOA induction remains somewhat unclear. There is evidence for a variety of causes such as loss of laser energy efficiency in the corneal periphery,5,6 the diameter of the optical zone relative to pupil diameter,7 random decentrations of the optical zone,8–11 biomechanical effects,12–14 flap-induced aberrations in LASIK,15–17 and wound healing reactions after photorefractive keratectomy (PRK).14,18 By applying a multivariate statistical analysis, we have shown that in uneventful wavefront-guided LASIK, the induction of spherical aberration was correlated with the amount of attempted correction and the optical zone diameter. In contrast, the induction of coma occurred in an apparently random fashion, independent from other factors.4 These results strongly suggest that coma induction could be attributed to subclinical decentrations of the optical zone (“micro-decentrations,” ie, decentrations ≤500 μm) as it has been shown that micro-decentrations are ubiquitous, random errors.8–11
However, the clinical impact of decentrations ≤500 μm on optical quality is still poorly understood. We recently established a computer simulation model that allows for systematic investigation of decentration effects on optical quality as well as on LOA and HOA, using real postoperative PRK wavefront data obtained from a cat PRK model.19 Our results using this model showed a decrease in retinal image quality and induction of astigmatism, coma, and undercorrection of defocus. The study further showed that decentration tolerance was higher for a 3.5-mm than for a 6-mm pupil diameter. The latter finding prompted the following questions: how do optical zone decentration and pupil diameter interact and how does this interaction affect changes of optical quality induced by laser refractive surgery? The present simulation study was conducted to test the hypotheses that 1) optical zone decentration and pupil dilation both decrease optical quality after myopic PRK, and 2) decentrations ≤500 μm (referred to as micro-decentrations hereafter) are likely the main cause of night vision disturbances due to a steeper decrease of optical quality in eyes with micro-decentrations when the pupil dilates.
Using our cat PRK-based decentration model, we determined the change in optical quality, represented by the metric visual Strehl ratio based on the optical transfer function (VSOTF)20 in three simulation experiments. In the first simulation, the effects of pupil dilation and optical zone decentration were investigated relative to an optimum outcome for a 3-mm pupil diameter. The second simulation examined the effects of pupil dilation and optical zone decentration relative to best-corrected image quality for a 3-mm pupil adjusted for each decentered position. This simulation represents the clinical situation of spectacle correction obtained at 3-mm pupil diameter in an eye with optical zone decentration. The third simulation assessed the effects of pupil dilation and decentration on best-corrected image quality (optimum LOA correction for each pupil diameter at each decentered position).
MATERIALS AND METHODS
Subjects and PRK Surgery
Data were obtained from five eyes of five normal male domestic short hair cats (Felis cattus) that underwent myopic PRK with an uncomplicated follow-up of at least 3 months and for which wavefront aberrations could be measured over a pupil diameter of 9 mm. Procedures were conducted according to the guidelines of the University of Rochester Committee on Animal Research (UCAR), the Association for Research in Vision and Ophthalmology (ARVO) Statement for the Use of Animals in Ophthalmic and Vision Research, and the National Institutes of Health (NIH) Guide for the Care and Use of Laboratory Animals.
Three cat eyes underwent PRK for −6.00 diopters (D)—two with a programmed optical zone of 6 mm and one with an 8-mm optical zone—and two eyes received PRK for −10.00 D (6-mm optical zone). The procedure has been described in detail elsewhere.14 Briefly, all eyes received conventional spherical ablation (Planoscan 4.14; Bausch & Lomb, Rochester, NY) performed by one of two surgeons (J.B. or S.M.) under surgical anesthesia using a Technolas 217 laser (Bausch & Lomb). The ablation was centered to the pupil, which was constricted with two drops of pilocarpine 3% (Bausch & Lomb). After surgery, the cats received two drops of 0.3% tobramycin and 0.1% dexamethasone (TobraDex; Alcon Laboratories Inc, Ft Worth, Tex) per eye once per day until the surface epithelium healed.
Wavefront Sensing and Computer Simulation of Optical Zone Decentration
As described previously,14,21 cats were trained to fixate on single spots of light presented on a computer monitor. Wavefront measurements were performed preoperatively and 19±7 weeks (range: 12 to 24 weeks) postoperatively with a custom-built Hartmann-Shack wavefront sensor. The wavefront sensor was aligned to the visual axis of one eye while the other eye fixated on a spot on the computer monitor.21 At least 10 measurements were collected per imaging session per eye. The simulation procedure has been described in detail in a previous publication.19 Briefly, wavefront errors were calculated using a 2nd to 10th order Zernike polynomial expansion according to the Visual Science and its Application (VSIA) standards for reporting aberration data of the eye.22 Centered post- to preoperative wavefront error differences ΔW(x, y) over a 9-mm pupil diameter were obtained by shifting the analysis pupil to determine the maximum defocus change, which was defined as the center of the optical zone. This practice allowed us to obtain centered wavefront error differences independent from potential decentration relative to the real pupil. A custom-programmed MATLAB algorithm (MATLAB 7.2; The MathWorks Inc, Natick, Mass) was used for the simulation of decentration. Decentered wavefront error differences ΔW(x′, y′) were calculated for the size of a 6-mm sub-aperture along Cartesian decentrations Δx and Δy, where Δx and Δy were changed in steps of 100 μm covering the entire 9-mm centroid area and resulting in a maximum decentration range of 3000 μm over a circular region. Zernike polynomials for the 2nd to 6th order were fitted to the data of each decentered wavefront, resulting in 709 wavefront errors (1 centered and 708 decentered) per eye. All postoperative wavefront errors were calculated by adding the centered or decentered wavefront error difference value to a standard centered mean wavefront error, which was obtained by averaging the pupil-centered preoperative wavefront errors for the eyes in this study.19 This practice allowed us to eliminate interindividual differences in preoperative optical quality and internal optics. Therefore, the independent variables in the experiments were the different centered and decentered treatment effects and corresponding changes of the VSOTF20 image quality metric.
Simulation 1: Optical Quality Of An Uncorrected Eye
This experiment simulated the effects of pupil dilation and optical zone decentration on optical quality of the uncorrected eye relative to a centered PRK correction with no residual refractive error for a 3-mm pupil diameter. This simulation reflects the influence of both LOA and HOA, as induced by decentration and pupil dilation. First, for a centered treatment at a 3-mm pupil diameter, the LOA combination that yielded optimum image quality was determined using Visual Optics Lab-Pro 7.14 (Sarver and Associates, Carbondale, Ill). This program calculated the VSOTF metric and modified LOA coefficients to maximize the VSOTF, simulating the process of subjective refraction. Second, for each decentered position from 0 to 1.5 mm (0.1-mm steps) along the 0°, 90°, 180°, and 270° meridians, pre- to postoperative wavefront error changes were computed. In a third step, wavefront error and VSOTF differences were recalculated for pupil diameters between 3 and 6 mm in 0.1-mm steps. This procedure generated four x, y, z datasets per eye. A bivariate linear regression model (SPSS 11.0; SPSS Inc, Chicago, Ill) was applied to calculate the simultaneous contribution of pupil dilation and decentration (independent or x and y variables) on the pre- to postoperative change of the log VSOTF (dependent or z variable). The standardized regression coefficients β and the adjusted coefficients of determination R2 of the four measurements per eye were averaged.
Analysis of decentration tolerance was performed as described elsewhere by calculating the maximum permissible decentration that yielded a critical decrease of VSOTF difference by 0.2 log units.19 Briefly, vectors r̄ between the centered position (x, y) and each outmost coordinate below the criterion (threshold coordinates x′, y′) were calculated. The mean value r̄ reflects the average maximum permissible decentration in microns that allows one to remain below the threshold criterion and equals the radius of a circle around the centered position. Tolerance values r− were calculated based on the entire set of 709 datapoints for pupil diameters between 3 and 6 mm in 0.5-mm steps. A Student t test for paired samples was applied to compare decentration tolerance values obtained with different simulation models.
Simulation 2: Uncorrected Optical Quality Relative To A Best-Corrected State At 3-mm Pupil Diameter
In this second simulation experiment, the contribution of decentration and pupil dilation on VSOTF change was simulated for an eye with best correction obtained over a 3-mm pupil diameter. Lower order aberrations were adjusted by VSOTF optimization for each centered or decentered position at a 3-mm pupil diameter. This represents the clinical situation of spectacle correction determined at a 3-mm pupil diameter in an eye with optical zone decentration, ie, possible decentration-induced LOA are compensated for at a 3-mm pupil. Also for this experiment, data analysis steps (regression and decentration tolerance calculation) were performed as described above.
Simulation 3: Best-Corrected Optical Quality
This experimental procedure was similar to those described above; however, for each decentered position and each pupil diameter (ie, each single wavefront error change) the best possible optical quality was calculated using the VSOTF maximization method. Hence, this third experiment assessed the influence of decentration and pupil dilation on HOA induction, as compensation for LOA was made. The further analysis steps (regression and decentration tolerance calculation) were similar to simulation 1.
Statistical Analysis
For comparison between the models, a Student t test (after checking normal distribution with a Kolmogorov-Smirnov-Lilliefors test) was applied. If necessary, a Bonferroni correction was performed.
RESULTS
Treatment and wavefront characteristics are summarized in Table 1. In all eyes analyzed, both decentration and pupil dilation led to decreased retinal image quality (VSOTF) relative to the centered, non-dilated state. Figure 1 shows color maps illustrating the simultaneous contribution of pupil dilation and decentration for eye #5-005_OD. For all three simulation models and for all eyes, there was a greater decrease of VSOTF due to pupil dilation than to decentration, which was confirmed by regression analysis (Table 2). For all three simulations, the adjusted R2 values were high, ranging from 0.94 to 0.96 (P<.001), indicating that both pupil dilation and decentration explain most of the variance of the change of retinal image quality (Δ VSOTF) in our model. Analysis of the standardized regression coefficients β showed that in all three simulation models, pupil dilation had a 2 to 3 times greater influence on Δ VSOTF than decentration (Table 2). The relative influence of decentration was lowest (median β=−0.26) in simulation experiment 2, where decentration-induced LOAs were corrected based on the refraction obtained at a pupil diameter of 3 mm (undilated state). The relative contribution of pupil dilation and decentration was similar in the other models.
TABLE 1.
Centered Wavefront Error Change Δ W(x, y) |
||||||||||
---|---|---|---|---|---|---|---|---|---|---|
Eye | Treatment(D) | OZ (mm) | TTZ (mm) | Sphere(D) | Cylinder(D) | Axis (°) | Total HOA RMS (μm) | Coma RMS (μm) | SA RMS(μm) | rHOA RMS (μm) |
c1-005 OD | −6. 00 | 8 | 11.1 | +4.71 | −0.61 | 12 | 0.541 | 0.197 | 0.333 | 0.388 |
c2-001 OS | −6.00 | 6 | 9.1 | +2.17 | −0.65 | 88 | 0.618 | 0.285 | 0.327 | 0.440 |
c2-006 OS | −6.00 | 6 | 9.1 | +2.56 | −0.24 | 40 | 0.307 | 0.120 | 0.039 | 0.280 |
c5-005 OD | −10.00 | 6 | 9.1 | +4.11 | −0.28 | 37 | 0.574 | 0.296 | 0.426 | 0.246 |
c5-026 OD | −10.00 | 6 | 9.1 | +5.29 | −0.47 | 160 | 0.430 | 0.291 | 0.262 | 0.178 |
OZ = diameter of the programmed optical zone, TTZ = diameter of the total treatment zone, Total HOA RMS = root-mean-square value of 3rd to 10th order aberrations, Coma RMS = RMS value of 3rd to 9th order coma, SA RMS = RMS value of 4th to 10th order spherical aberration, rHOA RMS = residual RMS of all non-coma, non-spherical HOAs, OD = right eye, OS = left eye
TABLE 2.
Simulation | R2 (Adjusted) | Predictor | Standardized Regression Coefficients β |
---|---|---|---|
(1) Uncorrected with optimum refraction for a 3-mm pupil diameter at centered position | 0.94 (0.87 to 0.98) | Pupil diameter | −0.88 (−0.99 to −0.67) |
Decentration | −0.45 (−0.67 to 0.23) | ||
(2) Uncorrected with optimum refraction for a 3-mm pupil diameter | 0.96 (0.88 to 0.96) | Pupil diameter | −0.95 (−0.99 to −0.80) |
Decentration | −0.26 (−0.49 to 0.23) | ||
(3) Best-corrected | 0.95 (0.88 to 0.97) | Pupil diameter | −0.87 (−0.98 to −0.73) |
Decentration | −0.42 (−0.64 to 0.11) |
Note. The table shows the median, minimum, and maximum of the coefficients of determination (R2) and standardized regression coefficients (β). All correlations were statistically significant (P<.001).
Figure 2 shows convolution images simulating the postoperative image quality for three pupil diameters (3, 4.5, and 6 mm) at three horizontal decentration levels (0, 500, and 1500 μm). Figure 2A represents the clinical situation of uncorrected vision of a decentered treatment compared to an outcome with no residual refractive error at the centered position (simulation 1). In this case, image quality is compromised by the induction of both LOAs and HOAs. Figure 2B shows the same situation but with LOAs corrected for a 3-mm pupil diameter at each level of decentration, which represents the situation of an eye with decentered optical zone and LOA correction obtained at a pupil diameter of 3 mm (simulation 2). Comparison of the two convolution simulations shows that correction of decentration-induced LOAs leads to improvement of image quality. The average effect of pupil dilation on Δ VSOTF is illustrated in Figure 3 for decentrations of 0, 500, and 1500 μm, respectively. The graphs that represent the VSOTF changes at the centered and decentered states roughly have a similar shape and run parallel, indicating there is no steeper decrease of Δ VSOTF if the optical zone is decentered.
Decentration tolerance, defined as the maximum permissible decentration that resulted in a VSOTF decline <0.2 log units,19 decreased with pupil diameter (Table 3, tFig 4). Correction of decentration-induced LOA (3-mm pupil diameter, simulation 2) led to less decrease in VSOTF; which was statistically significant (Student test with Bonferroni correction) for pupil diameters from 3 to 3.5 mm. If LOAs were corrected completely (best-corrected VSOTF, simulation 3), the difference was statistically significant for a 3-, 3.5-, and 5-mm pupil diameter. No statistically significant difference between decentration tolerance values calculated for simulations 2 and 3 was noted (see Fig 4, upper curves), although there was a tendency of less VSOTF decrease if LOA correction was adjusted for all pupil diameters.
TABLE 3.
r̄ (μm) |
||
---|---|---|
Simulation | 3-mm PD | 6-mm PD |
(1) Uncorrected with optimum refraction for 3-mm PD at centered position | 766±211 | 624±378 |
(2) Uncorrected with optimumn refraction for 3-mm PD | 1219±210 | 633±308 |
(3) Best-corrected | 1279±175 | 797±461 |
PD = pupil diameter
Maximum permissible decentration to maintain a decrease of VSOTF<0.2 log units.
Note. The radius r̄ is the mean length of the vectors between the center and the locations with threshold values.
DISCUSSION
The present study confirmed the hypothesis that both pupil dilation and decentration contribute to the decrease of retinal image quality after myopic PRK compared to the image quality of a perfectly centered treatment at a 3-mm pupil diameter. This could be expected as the wavefront error increases as a function of pupil diameter7 and decentration.19 However, as shown graphically in Figure 1 (0.2 log VSOTF decrease, black dotted line), the influence of pupil dilation prevailed over decentration-induced decreases in image quality. This was confirmed by statistical analysis (Table 2) as standardized regression coefficients β for pupil dilation were at least twice as high as those for optical zone decentration. Moreover, if decentration-induced LOAs were corrected (simulation 2), the influence of decentration further decreased (Table 2, β = −0.26). This suggests that LOAs are primarily responsible for decreases in image quality in the case of decentration. The induction of LOAs by pupil dilation is limited, as reflected by marginal differences between simulation models 2 and 3 (see Figs 3B and 3C). In the latter model, dilation-induced LOAs were corrected. In contrast to similuations 1 and 2, simulation 3 has only theoretical relevance because in clinical practice it is almost impossible to adapt the LOA correction to the actual pupil diameter. The convolution series in Figures 2A and 2B shows the effect of LOA correction in case of pupil dilation and decentration. Figures 1 and 3 also illustrate that in case of micro-decentrations (≤500 μm), the effect on optical quality is rather limited. In particular, we could not support our second hypothesis that micro-decentrations, which are asymptomatic under photopic conditions (in our simulations represented by a 3-mm pupil diameter), become symptomatic under mesopic conditions (6-mm pupil diameter). Only for severe decentrations (eg, 1500 μm) did we observe a somewhat steeper decrease in retinal image quality with pupil dilation (see Figs 1–3) relative to the centered treatment.
Analysis of decentration tolerance as a function of pupil diameter confirmed results from our previous study19 and again underlined the role of decentration-induced LOAs (see Fig 4) in lowering retinal image quality. If the strict criterion of a VSOTF decrease of 0.2 log units is applied, the tolerance to decentration at a given pupil diameter was lowest in simulation 1 (LOA no correction, open squares in Figure 4). If decentration-induced LOAs (see Fig 4, gray diamonds) or decentration- and dilation-induced LOAs (see Fig 4, black triangles) were corrected, decentration tolerance increased. This effect was statistically significant, at least for lower pupil diameters.
With regard to clinical practice and as suggested by our previous study,19 the present simulations showed that ubiquitous optical zone micro-decentrations10 only have a limited effect on optical quality after laser refractive surgery. However, one should consider that the physiological range of pupil diameters is by far higher than that of our model.23 In addition, there is more probability that an eye will reach large pupil diameters than high decentration values.10 This discrepancy of probabilities further decreases the likely influence of decentration on image quality following laser refractive surgery. Even if a relatively strict criterion is applied (as in our decentration tolerance construct), decentrations ~500 μm did not lead to a VSOTF decrease beyond the tolerance threshold (see Fig 4).
Although the present results are in line with clinical experience that micro-decentrations do not inevitably induce optical symptoms, they should be interpreted with some caution. The VSOTF is a theoretical construct, as is the simulation of best-corrected refraction based on the VSOTF. Psychometric tests have shown that subjective quality of vision may differ from the VSOTF.24 Some patients may be particularly sensitive to decentration-induced coma blur whereas others may exhibit no impairments. Moreover, aberrations induced by optical zone decentration may become more complex in cases of astigmatic or wavefront-guided ablations. Procedures that induce higher amounts of spherical aberration, such as treatments for high myopia2,25 and hyperopia,13,25 are also likely to exhibit lower decentration tolerance compared to the treatments investigated in this study.19 Finally, even this small sample was heterogenous regarding its treatment effects and induced HOA (Table 1). This heterogeneity was also reflected by a relatively large range of decentration tolerance values and regression coefficients. However, a larger sample size is needed to establish any correlation between the amount of attempted correction and the relative contribution of pupil dilation and decentration of optical quality. Regarding comparability of cat with human PRK, analysis of treatment effects showed that the aberration pattern in the cat model is similar to that observed in humans.14,21 The under-correction on the cat cornea has been observed before and could be explained by a lower ablation rate for the cat cornea.14,19 Although this heterogeneity of the data somewhat decreased comparability with human data, it does not affect the results from the model itself. Moreover, the cat model is unique as wavefront sensing at a large physiological pupil diameter of 9 mm without pharmacological dilation is possible.21
The present model study showed that pupil dilation has a higher impact on the decrease in retinal image quality experienced after myopic PRK than decentration of the ablation optical zone. In particular, for eyes that do not show visual symptoms such as halos and ghosting under photopic conditions but become symptomatic with pupil dilatation, micro-decentrations (≤500 μm) did not induce significant amounts of additional lower or higher order optical aberrations.
Acknowledgments
This study was supported by the Deutsche Forschungsgemeinschaft (DFG) Bu 2163/1-1 (Bühren); the National Institutes of Health (NIH) R01 EY015836 (Huxlin) and Core grant 08P0EY01319F (Center for Visual Science); a grant from Bausch & Lomb; grants from the University of Rochester Center for Electronic Imaging Systems, a NYSTAR-designated Center for Advanced Technology; and an unrestricted grant from the Research to Prevent Blindness Foundation Inc to the Department of Ophthalmology, University of Rochester.
Footnotes
Drs Yoon and MacRae are scientific consultants to Bausch & Lomb, Rochester, NY. The remaining authors have no proprietary interest in the materials presented herein.
Presented as an E-Poster at the International Society of Refractive Surgery of the American Academy of Ophthalmology Refractive Surgery Subspecialty Day; November 7–8, 2008; Atlanta, Ga.
AUTHOR CONTRIBUTIONS
Study concept and design (J.B., G.Y., S.M., K.H.); data collection (J.B., G.Y., S.M.); analysis and interpretation of data (J.B., G.Y., S.M.); drafting of the manuscript (J.B., G.Y., S.M.); critical revision of the manuscript (J.B., G.Y., S.M., K.H.); obtained funding (J.B., K.H.); administrative, technical, or material support (S.M., K.H.); supervision (S.M., K.H.)
References
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