Performance of iPad-based threshold perimetry in glaucoma and controls.
Summary
MRF perimetry, despite using a completely different test paradigm, shows good performance characteristics compared to HVF for detection of defects, correlation of global indices and regional mean threshold values.
Abstract
IMPORTANCE
Independent validation of iPad visual field testing software Melbourne Rapid Fields (MRF).
BACKGROUND
To examine the functionality of MRF and compare its performance with Humphrey SITA 24-2 (HVF).
DESIGN
Prospective, cross-sectional validation study.
PARICIPANTS
Sixty glaucomas mean deviation (MD:-5.08±5.22); 17 pre-perimetric, 43 HVF field defects and 25 controls.
METHODS
The MRF was compared with HVF for scotoma detection, global indices, regional mean threshold values and sensitivity/specificity. Long-term test-retest variability was assessed after 6 months.
MAIN OUTCOME MEASURES
Linear regression and Bland Altman analyses of global indices sensitivity/specificity using (ROC) curves, intraclass correlations.
RESULTS
Using a cluster definition of three points at <1% or two at 0.5% to define a scotoma on HVF, MRF detected 39/54 abnormal hemifields with a similar threshold-based criteria. Global indices were highly correlated between MRF and
HVF
MD r= 0.80, PSD r= 0.77, VFI r= 0.85 (all P < 0.0001). For manifest glaucoma patients, correlations of regional mean thresholds ranged from r= 0.45-0.78, despite differing array of tested points between devices. ROC analysis of global indices showed reasonable sensitivity/specificity with (AUC) values of
MD
0.89, (PSD:0.85) and (VFI:0.88). MRF retest variability was low with (ICC) values at 0.95 (MD and VFI), 0.94 (PSD). However, individual test point variability for mid-range thresholds was higher.
CONCLUSIONS AND RELEVANCE
MRF perimetry, despite using a completely different test paradigm, shows good performance characteristics compared to HVF for detection of defects, correlation of global indices and regional mean threshold values. Reproducibility for individual points may limit application for monitoring change over time, and fixation monitoring needs improvement.
Keywords
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