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Discriminating Ability of Humphrey Matrix Perimetry in Early Glaucoma Patients

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<i>Purpose:</i> To determine the discriminating ability of some parameters provided by Humphrey Matrix perimetry for early glaucoma detection. <i>Methods:</i> A prospective cross-sectional study was performed. Sixty-five primary open-angle glaucoma patients with early-stage visual field defects on standard automated perimetry (mean deviation = –1.98 ± 1.93 dB) and 56 healthy subjects were included. All subjects performed the Humphrey Matrix perimetry with a threshold 30-2 strategy. The receiver operating characteristic (ROC) curve was constructed for each parameter and calculated the area under the ROC curve (AUC) to seek the best discriminating parameter for early glaucoma detection. <i>Results:</i> The AUCs of Humphrey Matrix perimetry with the mean deviation, pattern standard deviation, Glaucoma Hemifield Test, number of points that have a p < 5% in pattern deviation plot (PDP) and number of points that have a p < 1% in PDP were 0.795, 0.808, 0.689, 0.985 and 0.946, respectively. <i>Conclusion:</i> Humphrey Matrix perimetry allowed accurate discrimination between normal and early glaucomatous eyes. The number of points that had a p < 5% in PDP was the best discriminating parameter for early glaucoma detection using Humphrey Matrix perimetry.
Title: Discriminating Ability of Humphrey Matrix Perimetry in Early Glaucoma Patients
Description:
<i>Purpose:</i> To determine the discriminating ability of some parameters provided by Humphrey Matrix perimetry for early glaucoma detection.
<i>Methods:</i> A prospective cross-sectional study was performed.
Sixty-five primary open-angle glaucoma patients with early-stage visual field defects on standard automated perimetry (mean deviation = –1.
98 ± 1.
93 dB) and 56 healthy subjects were included.
All subjects performed the Humphrey Matrix perimetry with a threshold 30-2 strategy.
The receiver operating characteristic (ROC) curve was constructed for each parameter and calculated the area under the ROC curve (AUC) to seek the best discriminating parameter for early glaucoma detection.
<i>Results:</i> The AUCs of Humphrey Matrix perimetry with the mean deviation, pattern standard deviation, Glaucoma Hemifield Test, number of points that have a p < 5% in pattern deviation plot (PDP) and number of points that have a p < 1% in PDP were 0.
795, 0.
808, 0.
689, 0.
985 and 0.
946, respectively.
<i>Conclusion:</i> Humphrey Matrix perimetry allowed accurate discrimination between normal and early glaucomatous eyes.
The number of points that had a p < 5% in PDP was the best discriminating parameter for early glaucoma detection using Humphrey Matrix perimetry.

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