Linear discriminant analysis and artificial neural network for glaucoma diagnosis using scanning laser polarimetry-variable cornea compensation measurements in Taiwan Chinese population.
BACKGROUND
To determine whether linear discriminant analysis (LDA) and artificial neural network (ANN) can improve the differentiation between glaucomatous and normal eyes in a Taiwan Chinese population, based on the retinal nerve fiber layer thickness measurement data from scanning laser polarimetry-variable corneal compensation (GDx VCC).


METHODS
This study comprised 79 glaucoma (visual field defect, mean deviation: -5.60 +/- 4.23 dB) and 86 healthy subjects (visual field defect, mean deviation: -1.44 +/- 1.72 dB). Each patient received complete ophthalmological evaluation, standard automated perimetry (SAP), and GDx VCC exam. One eye per subject was considered for further analysis. The area under the receiver operating characteristics (AROC) curve, sensitivity, specificity and the best cut-off value for each parameter were calculated. The diagnostic performance of artificial neural network (ANN) and linear discriminant analysis (LDA) for glaucoma detection using GDx VCC measurements will be compared in this study.


RESULTS
The individual parameter with the best AROC curve for differentiating between normal and glaucomatous eye was nerve fiber indicator (NFI, 0.932). The highest AROCs for the LDA and ANN methods were 0.950 and 0.970 respectively.


CONCLUSIONS
NFI, ANN and LDF method demonstrated equal diagnostic power in glaucoma detection in a Taiwan Chinese population.
Huang
Mei-Ling
ML
Department of Industrial Engineering & Management, National Chin-Yi University of Technology, 35, Lane 215, Section 1, Chung-Shan Road, Taiping City, Taichung County, 411, Taiwan.
Chen
Hsin-Yi
HY
Huang
Wei-Cheng
WC
Tsai
Yi-Yu
YY
D000328:Adult; D044466:Asian People / Q000208:ethnology; D001718:Birefringence; D003315:Cornea / Q000502:physiology; D016002:Discriminant Analysis; D005260:Female; D005901:Glaucoma / Q000175:diagnosis* / Q000208:ethnology; D006801:Humans; D007429:Intraocular Pressure; D008297:Male; D009412:Nerve Fibers / Q000473:pathology*; D016571:Neural Networks, Computer; D012372:ROC Curve; D015203:Reproducibility of Results; D012165:Retinal Ganglion Cells / Q000473:pathology*; D057109:Scanning Laser Polarimetry; D013624:Taiwan / Q000453:epidemiology; D014065:Tonometry, Ocular; D058609:Visual Field Tests; D014794:Visual Fields