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Transcript of Predicting visual performance from wavefront quality metrics in cataract Konrad Pesudovs Katja...
Predicting visual performance from wavefront quality metrics in
cataract
Konrad Pesudovs
Katja UllrichNH&MRC Centre for Clinical Eye Research,
Flinders Medical Centre & Flinders University, Adelaide, South Australia
Financial disclosure: The authors have no financial interest
Background and Purpose• Cataract affects visual performance via higher order
aberrations and light scatter• Wavefront aberrations occurring in cataract have been
described in terms of the Zernike polynomial decomposition but neither Zernike terms nor RMS predict visual performance
• Other methods for organising wavefront data exist – wavefront quality metrics
• Attempts to connect wavefront quality metrics to visual performance in cataract are lacking
PURPOSE: To determine which wavefront quality metrics are most predictive of visual performance in patients with cataract
Population and Visual Performance
• Prospective, cross-sectional study of consecutive patients attending the Cataract Assessment Clinic at Flinders Medical Centre
• Inclusions – all types of cataract
• Exclusions – ocular comorbidity, unable to measure whole eye wavefront
• 206 eyes, age 73 years, 58% female
• The clinical assessment was conducted by one clinician-KP
• Refraction and best corrected• High contrast visual acuity(VA)• Pelli-Robson contrast
sensitivity (PRCS)• Pelli-Robson contrast
sensitivity under glare (PRCSglare)
Wavefront quality metrics• Whole eye wavefront sensing
with Wavefront Sciences COAS-HD
• Wavefront data exported to VOLPro software v7.25 (Sarver and Associates) and 10th order Zernike expansion derived
• Zernike data exported to GetMetrics v.2.02.006 (University of Houston, College of Optometry) by Thibos and Applegate for calculation of wavefront quality metrics
• 31 metrics of wavefront quality designed to be predictive of visual performance were calculated for the pupil plane and the image plane as per: Thibos LN, Hong X, Bradley A, Applegate RA. Accuracy and precision of objective refraction from wavefront aberrations. J Vis 2004;4(4):329-51.
• Linear Regression with SPSS Software V15.0 (SPSS Inc)
Results - visual acuity and wavefront quality metrics
• Visual acuity and logPFWc, r2=-0.37, p<0.001
• The strongest correlate of all three measures of visual performance was the pupil fraction metric PFWc
Results – contrast sensitivity and wavefront quality metrics
• Pelli-Robson contrast sensitivity and logPFWc, r2=0.39, p<0.001
• Pelli-Robson contrast sensitivity glare & logPFWc, r2=0.32, p<0.001
• The strongest correlate of each measure of contrast sensitivity was the pupil fraction metric PFWc
Pupil fraction metrics• Pupil fraction is defined
as the fraction of the pupil area for which the optical quality of the eye is good
• The critical pupil method uses an “area of good pupil” which is a concentric zone
• The red circle indicate the largest concentric zone for which the wavefront has reasonably good quality
• PFWc which is a critical pupil defined as the concentric area for which RMSw<criterion (λ/4)