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Original Research

Objective assessment of optical quality in dry eye disease using a double-pass imaging system

, , , &
Pages 1991-1996 | Published online: 09 Oct 2019

Abstract

Purpose

To assess optical quality dynamics using a double-pass (DP) system in patients with dry eye disease (DED).

Methods

Seventy-six eyes with DED and 44 control subjects were enrolled in this study. Each patient underwent ocular surface evaluation including fluorescein corneal staining and Schirmer’s II test. Ocular Surface Disease Index (OSDI) questionnaire was used to assess subjective symptoms. Optical quality dynamics and tear film instability was analyzed using a DP system (HD AnalyzerTM, Visiometrics, Spain). Mean objective scatter index (OSI), maximum and minimum OSI, difference between maximum and minimum OSI (ΔOSI) were recorded with 40 consecutive scans over 20 s.

Results

The DED group had pronounced impairment of optical quality compared to the control group. Mean OSI (4.29±4.07), minimum (3.22±3.51) and maximum (5.72±4.52) OSI, ΔOSI (2.50±1.96), OSDI score (36.94±16.55), and fluorescein corneal staining (0.79±0.96) were statistically significantly higher than controls (p<0.05). Schirmer’s II test was statistically significantly lower in the DED group compared to controls (10.08±7.85, 26.41±6.75, respectively; p<0.001). Three patterns of dynamic changes of OSI were proposed: ladder (continuous increase of OSI), seesaw (instability of OSI without improvement after blinking), and plateau (steady-high OSI). The ladder group showed the highest value of maximum OSI (6.93±4.13; p=0.03) and ΔOSI (3.76±2.08; p<0.001).

Conclusion

DP imaging system provides an objective measurement of the visual quality in DED. Tear film instability may be assessed by dynamic changes of OSI over 20 s. In particular, the highest OSI values were observed in the ladder pattern group.

Dry eye disease (DED) is a multifactorial inflammatory disease resulting in tear film instability, ocular discomfort, and optical quality degradation.Citation1 According to the Dry Eye Workshop (DEWS), DED is associated with increased osmolarity and inflammation of the ocular surface.Citation1Citation4 Irregularities of the air-tear film interface of the ocular surface contribute to fluctuation of vision in the form of ocular light scatter as measured by double-pass (DP) imaging system, degrading retinal image quality.Citation2Citation6

Quality of vision in DED may be assessed through subjective and objective tests. Subjective evaluations include the Ocular Surface Disease Index (OSDI) or the Standardized Patient Evaluation of Eye Dryness questionnaires.Citation1 Objective measurements of visual function include wavefront analysis,Citation7 high-speed videokeratoscopy,Citation8 lateral shearing interferometry,Citation8,Citation9 compensation comparison of retinal straylight,Citation10 and DP retinal imaging technique.Citation1,Citation6,Citation11,Citation12 The DP system captures dynamic changes of the point spread function (PSF) and calculates the mean value of objective scatter index (OSI) over 20 s.Citation2,Citation3,Citation13,Citation14 Temporal changes of OSI provide a functional analysis of the impact of tear film instability on retinal image quality.Citation2,Citation3,Citation5,Citation6,Citation11,Citation15 Recent studies have demonstrated increased aberrations and forward ocular scatter in patients with DED.Citation2,Citation3,Citation5,Citation6,Citation10,Citation15

This study aims to evaluate the use of a DP imaging system to objectively analyze visual quality as a function of tear film instability and to correlate to clinical findings and subjective symptoms of DED, as well as to characterize dynamic changes of OSI.

Materials and methods

Patients diagnosed with DED according to the definition of the DEWSCitation1 were enrolled in this observational study from January 2016 to May 2017. The control group was comprised of healthy subjects with no clinical signs or symptoms of DED.

OSDI, corneal staining, and Schirmer’s II test were used in our evaluation of DED. Corneal staining was determined by counting punctate epithelial erosions (PEE) stained with fluorescein.Citation16 Scores ranged from 0 to 3 according to the number of PEE (no PEE equals 0, 1–5 PEE score 1, 6–30 PEE score 2, >30 PEE score 3).Citation16 Schirmer’s test was conducted with anesthesia (Schirmer’s II). Standardized strips were placed in the lateral third of the lower eyelid and the length of the moistened portion of the strip after 5 mins was measured. Eyes that presented an OSDI score greater than 20, PEE score equal or greater than 1, and Schirmer’s II test worse than 15 mm were included in the DED group.

Dynamic optical quality was assessed using the tear film analysis software of the DP imaging system (HD AnalyzerTM; Visiometrics, Spain).Citation2,Citation3,Citation5 A laser diode of 780 nm wavelength is emitted on the retina and DPs through the ocular media, after which the light reflection is recorded in a camera. OSI is calculated by the ratio between light in the periphery (circle of a radius between 12 and 20 mins of arc) and in the central peak (circle of a radius of 1 min of arc) of the DP image of the PSF, and ΔOSI is measured as the difference between maximum and minimum OSI.Citation2,Citation5,Citation9 Higher intraocular scatter correlates with high OSI. The tear film analysis software provides dynamic changes of the optical quality through fluctuation of OSI every 0.5 s. Forty images are recorded over a period of 20 s.Citation2 The images were acquired before instillation of topical anesthetic drops. The testing was conducted in a room with reduced illumination to maximize pupil size. All subjects were allowed to blink at will.

Exclusion criteria for all subjects were: age younger than 18, history of ocular trauma, corneal scar and opacity, infectious keratitis, glaucoma, diabetic retinopathy, ocular surgery in the previous 6 months, cataract greater than NC2C1P1 according to the Lens Opacities Classification System III (LOCS III). The study protocol followed the tenets of the Declaration of Helsinki and was approved by the Institutional Review Board of Medical University of South Carolina. All subjects agreed with the procedures and were informed in detail about the nature of this study. Written informed consent was obtained from all subjects.

Statistical analysis

For each subject, both eyes were tested and only the right eye was selected. A one-way ANOVA and Student's t-test for normal distribution were used to compare values between groups and the Pearson correlation test was used to evaluate the correlation between objective and subjective parameters of dry eye tests. A multivariate linear regression analysis was used to investigate the correlation between parameters. A p-value <0.05 was considered significant. Statistical analysis was performed using EXCEL (Microsoft® 2016 Version 15.9, Redmond, WA).

Results

Seventy-six eyes with DED and 44 controls were enrolled in this study. Demographics and clinical data are shown in .

Table 1 Patients’ demographics and clinical tests in dry eye disease and controls

Mean OSI was 4.29±4.07 and 1.88±2.05 in the DED group and control group, respectively (p<0.001). Minimum OSI was 3.22±3.51 in the DED group compared to 1.29±1.59 in controls (p<0.001). Maximum OSI was 5.72±4.52 in the DED group compared to 3.06±2.93 in controls (p=0.001). ΔOSI was found to be 2.50±1.96 in the DED group and 1.76±1.96 in the control group (p=0.05).

In the DED group, OSDI score was 36.84±16.55, Schirmer’s II test was 10.08±7.85, and fluorescein corneal staining score was 0.79±0.96. All three metrics were statistically significantly different than controls (p<0.05). Mean OSI did not correlate to age (r=−0.01, p=0.98), OSDI score (r=0.11; p=0.34), Schirmer’s II test (r=−0.13; p=0.26), or fluorescein corneal staining (r=0.20; p=0.09). OSDI score did not correlate to Schirmer’s II test (r=−0.18; P=0.13) nor corneal staining (r=0.16; p=0.16). Schirmer’s test did not correlate to corneal staining (r=−0.08; p=0.51). Notably, age had a weak negative correlation to corneal staining (r=−0.33; p=0.009) ().

Table 2 Correlation between subjective and objective metrics in dry eye disease

The majority of subjects in the control group (59%) showed steadylow OSI with minimal changes over 20 s (). Three patterns of temporal changes in OSI were recorded. Subjects in the DED group were divided into subgroups according to tear film analysis dynamics ():

  1. Ladder pattern: continuous increase in OSI over time

  2. Seesaw pattern: greater instability of tear film and optical quality. OSI fluctuation without improvement after blinking

  3. Plateau pattern: steady high OSI with minimal temporal changes

Figure 1 Dynamic changes of objective scatter index (OSI) of an illustrative case in the control (A) and dry eye disease groups (B–D). A) Steady-low value of OSI; (B) ladder pattern displayed ascending values of OSI; (C) seesaw pattern revealed repeatedly fluctuation of OSI; (D) plateau pattern showed a steady-high value of OSI.

Figure 1 Dynamic changes of objective scatter index (OSI) of an illustrative case in the control (A) and dry eye disease groups (B–D). A) Steady-low value of OSI; (B) ladder pattern displayed ascending values of OSI; (C) seesaw pattern revealed repeatedly fluctuation of OSI; (D) plateau pattern showed a steady-high value of OSI.

Sixty percent of patients in the DED group fit into a seesaw pattern, whereas 32% showed a ladder pattern, and 8% a plateau. The ladder group showed the highest maximum OSI value (6.93±4.13) and ΔOSI value (3.76±2.08) when compared to seesaw and plateau (p=0.03 and p<0.001, respectively). Schirmer’s II test was worse in the seesaw group (9.23±5.57) than in the ladder group (12.2±10.23; p=0.01), but not statistically significantly different than in the plateau group (10.7±6.83; p=0.47). Mean OSI, minimum OSI, OSDI score, and corneal staining did not differ significantly among groups. Details are outlined in .

Table 3 Subjective and objective tests in the DED subgroups

Discussion

In this study, we used the tear film analysis software of the DP imaging system to analyze dynamic changes of optical quality in patients with DED compared to healthy subjects with no clinical signs of DED. Dynamic changes of OSI measured by DP wavefront have been shown to be reproducibleCitation13,Citation17,Citation18 and repeatableCitation18Citation20 as a surrogate for visual instability in DED. Dry eye patients may present with subjective visual disturbances not well characterized by historical visual acuity tests such as Snellen acuity.Citation1Citation6,Citation11,Citation13,Citation15 Often, cataract and refractive surgeons search for an explanation of why dry eye patients complain about their vision despite acceptable objective visual acuity.

Historically, low levels of androgen, high levels of estrogen, and aging are associated with meibomian gland dysfunction (MGD), and tear film instability.Citation1 As a result, aging females are more likely to be affected by DED.Citation1 Comparable, in our study, the majority of patients in the DED group were aging females (78%). In the elderly, the aging crystalline lens has a positive correlation with OSI.Citation13 Nevertheless, the tear film analysis software measurement of OSI in 20 s accounts only for tear film alterations, since variations in the cornea, lens, and vitreous do not occur in such short period.Citation6 Furthermore, cataract greater than NC2C1P1 according to LOCS III were excluded from the study to minimize the impact of intraocular scatter on OSI.

Benito et al,Citation5 Koh at al,Citation11 and Diaz-Valle et alCitation14 have demonstrated the impact of tear film dynamics on visual quality, describing a higher mean OSI in DED when compared to normal eyes. Similarly, we observed poor tear film dynamics in the DED group (mean OSI, maximum and minimum OSI, and ΔOSI) compared to controls. Interestingly, as opposed to Herbeut et al,Citation6 we failed to notice a correlation between objective (OSI) and subjective (OSDI score) measurements of DED. Furthermore, Schimer’s II test did not correlate with OSI scores, which may be explained by the possibility of achieving different values depending on the type of DED (normal or high values of Schrimer’s for evaporative DED and low values for aqueous deficiency).Citation6,Citation17

Three patterns of dynamic changes of OSI were observed in the DED group: ladder (continuous increase of OSI), seesaw (instability of OSI without improvement after blinking), and plateau (steady high OSI) (). The ladder pattern was consistent with a study by Yu et al,Citation14 in which DED subjects presented with ascending values of OSI. Yu et alCitation14 proposed four categories of tear film dynamics in healthy subjects based on optical quality parameters, in which most subjects were included in categories of either steady-high or steady-low values of OSI. Our study also demonstrated a plateau pattern, with steady-high values of OSI in the DED group () and a pattern of steady-low values of OSI in the control group (). Interestingly, the ladder pattern displayed the highest mean OSI, maximum OSI, ΔOSI, and OSDI scores. Surprisingly, the ladder pattern exhibited the highest Schimer’s test score, which may be related to evaporative DED, such as MGD, low blinking rates, vitamin-A deficiency, or contact lens wear.Citation1

Visual performance can be degraded by several optical phenomena, including diffraction, higher-order aberrations, and light scatter. DED and tear film irregularities increase forward ocular scatter,Citation2,Citation4Citation6,Citation14 worsening contrast sensitivityCitation4,Citation13 and optical quality,Citation2Citation5 and may affect visual performance after cataract and refractive surgery.Citation7,Citation11,Citation15 Therefore, dynamic analysis of the tear film may constitute an important tool to assess ocular surface preoperatively, even in asymptomatic patients, as a mean to improve surgical planning and to maximize visual outcomes. Moreover, temporal changes of OSI may also be useful to evaluate compliance with treatment and changes in optical quality post-treatment.

Conclusion

Dynamic measurements of the PSF as a function of OSI utilizing DP system may allow clinicians to better evaluate the impact of DED on visual performance. Furthermore, dynamic changes in optical quality metrics may be used to monitor therapeutic approaches in DED.

Disclosure

Dr. Waring is a consultant and shareholder to Visiometrics and reports personal fees from Johnson & Johnson Vision, personal fees from Allergan, personal fees from Shire, during the conduct of the study. The authors report no other conflicts of interest in this work.

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