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Shape-based analyses may improve OCT glaucoma detection
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Applying shape-based analyses to retinal nerve fiber layer measurement obtained using optical coherence tomography may improve the ability to differentiate between healthy and glaucomatous eyes, according to a study by researchers in Tennessee.
Pinakin Gunvant, PhD, and colleagues at Southern College of Optometry in Memphis investigated the use of shape-based analyses, including Wavelet-Fourier analysis (WFA) and fast Fourier analysis (FFA), during OCT retinal nerve fiber layer thickness measurements. The study included 152 eyes of 83 healthy patients and 69 patients with mild-stage glaucoma, according to the study.
The researchers found that the area under the receiver operating characteristic curve was greater for the shape-based methods compared with standard OCT. The receiver operating characteristic area averaged 0.94 for WFA and 0.88 for FFA, compared with 0.81 for the inferior average and 0.74 for the average thickness measurements using standard OCT, according to the study.
"Specifically, WFA's performance was significantly better than both the FFA (P = .009) and the inferior average (P = .0001). Inferior average performed significantly better than average thickness (P = .006)," the authors wrote.
The study is published in the December issue of Journal of Glaucoma.