J Korean Ophthalmol Soc.  2009 Nov;50(11):1680-1685.

Performance of Humphrey Matrix Frequency Doubling Technology Perimetry and Standard Automated Perimetry Global Indices

• Nam Y
• Kang SY
• Park SB
• Sung KR
• Kook MS

Abstract

PURPOSE
To evaluate and compare the diagnostic performance of Humphrey Matrix frequency doubling technology perimetry (Matrix) global indices with standard automated perimetry (SAP) for glaucoma discrimination.
METHODS
Forty-seven healthy and 63 glaucomatous subjects were included in this study. Glaucoma was defined as having glaucomatous optic disc and glaucomatous visual field defect. Correlations of mean deviation (MD) and pattern standard deviation (PSD) between Matrix and SAP were evaluated. Areas under receiver operating characteristic curves (AUCs) for discriminating healthy from glaucoma, sensitivity, and cut-off value at fixed specificity of MD and PSD were determined in Matrix and SAP.
RESULTS
MD and PSD from Matrix were highly correlated with SAP data in glaucomatous eyes (r=0.80, 0.69 p<0.001, <0.001). The AUCs of MD and PSD from Matrix (0.941, 0.921) were of comparable diagnostic capability to SAP data (0.876, 0.923, p=0.068, 0.927). The sensitivity at 90% specificity of MD was 67.9% in SAP, 76.4% in Matrix, with the cut off value of MD at 90% specificity at -3.10dB in SAP and -3.72dB in Matrix.
CONCLUSIONS
MD and PSD data from Matrix and SAP significantly correlated in glaucomatous eyes and showed similar diagnostic performance for discriminating healthy from glaucoma however, both MD and PSD are scaled differently on SAP and Matrix, which suggests that application of these parameters in a manner similar to that used in SAP should be employed with caution.

Keyword

Glaucoma; Global index; Visual field

MeSH Terms

Area Under Curve
Eye
Glaucoma
ROC Curve
Sensitivity and Specificity
Visual Field Tests
Visual Fields

Figure

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  Figure 1. Correlation of mean deviation (MD) between standard automated perimetry (SAP) and Humphrey Matrix (Matrix).(A) In glaucomatous eyes, MD of SAP and Matrix showed strong correlation (r=0.80, p<0.001). (B) In healthy eyes, MD of SAP and Matrix did not show statistically significant correlation (r=0.077, p=0.607) by Pearson correlation analysis.

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  Figure 2. Correlation of pattern standard deviation (PSD) between standard automated perimetry (SAP) and Humphrey Matrix (Matrix). (A) In glaucomatous eyes, PSD of SAP and Matrix showed strong correlation (r=0.69, p<0.001) (B) In healthy eyes, PSD of SAP and Matrix did not show statistically significant correlation (r=0.074, p=0.272) by Pearson correlation analysis.

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  Figure 3. The receiver operating characteristics curves (ROC) for discriminating between healthy and glaucomatous eyes. (A) Area under ROC value of mean deviation for Humphrey Matrix (Matrix, 0.941) and standard automated perimetry (SAP, 0.876) were not significantly different (p=0.068). (B) Area under ROC value of pattern standard deviation for Humphrey Matrix (Matrix, 0.921) and standard automated perimetry (SAP, 0.923) were not significantly different (p=0.927).

Reference

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