May 2007
Volume 48, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2007
Fourier Analysis of Ocular Pulse Amplitude Measurements in Glaucoma Patients and Healthy Subjects
Author Affiliations & Notes
  • E. M. Hoffmann
    Ophthalmology, University of Mainz, Mainz, Germany
  • S. Munkwitz
    Ophthalmology, University of Mainz, Mainz, Germany
  • N. Pfeiffer
    Ophthalmology, University of Mainz, Mainz, Germany
  • A. Woltmann
    Ophthalmology, University of Mainz, Mainz, Germany
  • F. H. Grus
    Ophthalmology, University of Mainz, Mainz, Germany
  • Footnotes
    Commercial Relationships E.M. Hoffmann, Ziemer Ophthalmics, F; S. Munkwitz, None; N. Pfeiffer, None; A. Woltmann, None; F.H. Grus, None.
  • Footnotes
    Support None.
Investigative Ophthalmology & Visual Science May 2007, Vol.48, 1253. doi:https://doi.org/
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      E. M. Hoffmann, S. Munkwitz, N. Pfeiffer, A. Woltmann, F. H. Grus; Fourier Analysis of Ocular Pulse Amplitude Measurements in Glaucoma Patients and Healthy Subjects. Invest. Ophthalmol. Vis. Sci. 2007;48(13):1253. doi: https://doi.org/.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose:: To evaluate the spectral profile of ocular pulse amplitude measurements using dynamic contour tonometry (DCT) in order to differentiate glaucoma patients from healthy subjects

Methods:: Twenty-five eyes of 25 glaucoma patients, defined by abnormal optic discs based on clinical exam and 15 healthy subjects (normal optic nerve head, normal visual field on standard automated perimetry, SAP, and intraocular pressure < 21 mm Hg) were prospectively recruited. Each patient underwent 3 ocular pulse amplitude (OPA) measurements using DCT on one randomly selected eye. OPA was continuously recorded for at least 10 seconds. For each of the OPA recordings, a Fourier analysis was performed. Each fourier analysis was subsequently analyzed with multivariate analysis of discriminance and artificial neural network.

Results:: There was no significant difference in age, refraction, or gender between glaucoma patients and healthy subjects. There was a significant difference in the fourier analyses between the two clinical groups (Wilks lambda = 0.669, p < 0.008). It was possible to detect glaucoma based on the fourier analysis of the OPA with a sensitivity of 80 % at a specificity of 80% and an area under the curve (AUROC) of 0.9.

Conclusions:: Using Fourier analysis it was able to detect differences in the OPA pattern between glaucoma patients and healthy subjects. It seems useful to evaluate the spectral distribution of the OPA to examine if OPA is important in the pathogenesis of glaucoma.

Keywords: optic nerve • optic flow • intraocular pressure 
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