NDLI: Validity of a new computer-aided diagnosis imaging program to quantify nuclear cataract from slit-lamp photographs.

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Validity of a new computer-aided diagnosis imaging program to quantify nuclear cataract from slit-lamp photographs.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Johari, Lily K. Tan, Ava Grace Mitchell, Paul Lim, Joo Hwee Li, Huiqi Liu, Jiang Wang, Jie Jin Lamoureux, Ecosse L. Cheung, Carol Yim-lui Aung, Tin Wong, Tien Yin
Description	Country affiliation: Singapore Author Affiliation: Cheung CY ( Singapore Eye Research Institute, Singapore.)
Abstract	PURPOSE: To validate a new computer-aided diagnosis (CAD) imaging program for the assessment of nuclear lens opacity. METHODS: Slit-lamp lens photographs from the Singapore Malay Eye Study (SiMES) were graded using both the CAD imaging program and manual assessment method by a trained grader using the Wisconsin Cataract Grading System. Cataract was separately assessed clinically during the study using Lens Opacities Classification System III (LOCS III). The repeatability of CAD and Wisconsin grading methods were assessed using 160 paired images. The agreement between the CAD and Wisconsin grading methods, and the correlations of CAD with Wisconsin and LOCS III were assessed using the SiMES sample (5547 eyes from 2951 subjects). RESULTS: In assessing the repeatability, the coefficient of variation (CoV) was 8.10% (95% confidence interval [CI], 7.21-8.99), and the intraclass correlation coefficient (ICC) was 0.96 (95% CI, 0.93-0.96) for the CAD method. There was high agreement between the CAD and Wisconsin methods, with a mean difference (CAD minus Wisconsin) of -0.02 (95% limit of agreement, -0.91 and 0.87) and an ICC of 0.81 (95% CI, 0.80-0.82). CAD parameters were also significantly correlated with LOCS III grading (all P < 0.001). CONCLUSIONS: This new CAD imaging program assesses nuclear lens opacity with results comparable to the manual grading using the Wisconsin System. This study shows that an automated, precise, and quantitative assessment of nuclear cataract is possible.
ISSN	01460404
e-ISSN	15525783
Journal	Investigative Opthalmology & Visual Science
Issue Number	3
Volume Number	52
Language	English
Publisher	Association for Research in Vision and Ophthalmology
Publisher Date	2011-03-10
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Cataract Diagnosis Diagnosis, Computer-assisted Diagnostic Imaging Diagnostic Techniques, Ophthalmological Lens Nucleus, Crystalline Pathology Area Under Curve Classification Reproducibility Of Results Comparative Study Research Support, Non-u.s. Gov't Validation Studies Discipline Ophthalmology
Content Type	Text
Resource Type	Article
Subject	Ophthalmology Sensory Systems Cellular and Molecular Neuroscience

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