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David S. Friedman, Donald D. Duncan, Beatriz Munoz, Sheila K. West, Oliver D. Schein; Digital Image Capture and Automated Analysis of Posterior Capsular Opacification. Invest. Ophthalmol. Vis. Sci. 1999;40(8):1715-1726.
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© ARVO (1962-2015); The Authors (2016-present)
purpose. To develop and validate a digital imaging and analysis technique for
assessing the extent of posterior capsular opacification after cataract
methods. Retroillumination images of the posterior capsule were obtained by
using a digital camera mounted on a slit lamp. The images were analyzed
using an available image analysis software program. The image
acquisition and analysis techniques were tested for face validity,
reproducibility, and the ability to detect progression of capsular
opacity over time.
results. Digital retroillumination images were obtained without patient
discomfort. Automated analysis of images correlated well with clinical
grading both at slit lamp examination and when looking at the images
themselves (Spearman’s correlation coefficient >0.7). Analysis of
images taken at different times showed high reproducibility (intraclass
correlation >0.9), and the system was able to identify progression of
capsular opacity over a 2-year period with a mean increase of 15.8% in
progressors versus an increase of 0.6% in nonprogressors
(P < 0.05).
conclusions. Digital retroillumination images of the posterior capsule can be
obtained reliably, and automated analyses correlate well with clinical
assessment. The system presented here uses commercially available
instruments and software, and it is practical for use in longitudinal
studies of posterior capsule opacification. It is reliable, easy to
use, and can detect small changes in the percentage area covered by
posterior capsule opacification over time.
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