Literature DB >> 15790873

Detecting progression of nuclear sclerosis by using human grading versus semiautomated computer grading.

Barbara E K Klein1, Larry Hubbard, Nicola J Ferrier, Ronald Klein, Daniel J Klein, Kristine E Lee, Andrew Ewen, Karl Jensen, Michael D Evans.   

Abstract

PURPOSE: To assess indices of nuclear sclerosis derived from digitized images made from color (slide) photographs.
METHODS: Film-based slit lamp images taken at baseline and at 5- and 10-year follow-up examinations of the Beaver Dam Eye Study cohort were digitized, and optical traces were taken along an axis through the center of the cornea and lens. Four indices of the severity of sclerosis were calculated based on the optical densities. The associations of the original Beaver Dam grades and these indices to age, vision, and change in severity of sclerosis over two subsequent visits were compared.
RESULTS: At baseline photographs, the Spearman correlation between age and severity was 0.65 for the original film-based grading (n = 4518 right eyes) and varied between 0.46 and 0.71 for the measures from digitized images. Correlations of the indices to visual acuity were 0.38 for the film-based grading and ranged from 0.32 to 0.38 for the other indices. The authors assume that nuclear sclerosis does not regress and the percentage of regression is a reflection of error in grading. The percentage of regression and progression of sclerosis over 5- and 10-year intervals was determined for each index. After 5 years, 48.2% progressed and 4.9% regressed, using the Beaver Dam grades; progression occurred in 4.9% to 9.9%, and regression occurred in 4.5% to 7.0% for the other indices. After 10 years, 61.9% progressed and 3.2% regressed using the Beaver Dam grades; progression occurred in 8.0% to 19.7%, and regression occurred in 2.6% to 9.7% for the other indices.
CONCLUSIONS: Semiautomated grading of the digitized images can be used to process thousands of images with little oversight by a trained grader. Indices of sclerosis that closely parallel human grading in their relationships to age and visual acuity can be easily computed. However, the indices appear to identify significantly less progression of nuclear sclerosis than does human grading. Further development to define a useful metric for identifying severity and progression of nuclear sclerosis is needed.

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Year:  2005        PMID: 15790873     DOI: 10.1167/iovs.04-0239

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  4 in total

1.  Quantitative Scheimpflug camera study of the lens density in healthy Turkish population.

Authors:  Taner Kar; Yakup Aksoy; Yıldıray Yıldırım; Abdullah Kaya; Ali Ayata; Melih Hamdi Ünal
Journal:  Int Ophthalmol       Date:  2016-02-25       Impact factor: 2.031

2.  Automated, computerized, feature-based phenotype analysis of slit lamp images of the mouse lens.

Authors:  Jenny Yuen; Yi Li; Linda G Shapiro; John I Clark; Ernest Arnett; E Helene Sage; James F Brinkley
Journal:  Exp Eye Res       Date:  2007-12-07       Impact factor: 3.467

3.  Obesity and Density of the Crystalline Lens: Revisiting a Growing Dilemma.

Authors:  Seyed-Farzad Mohammadi; Mohsen Afarideh; Hadi Z Mehrjardi; Sara Mirhadi
Journal:  Biomed Hub       Date:  2017-01-28

4.  Cataract Grading in Pure Senile Cataracts: Pentacam versus LOCS III.

Authors:  Mohammad Mirzaie; Erfan Bahremani; Nazli Taheri; Zhila Khamnian; Banafshe Kharrazi Ghadim
Journal:  J Ophthalmic Vis Res       Date:  2022-08-15
  4 in total

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