April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Structure-function Relationship And Diagnostic Value Of Macular Measurement Using Rtvue-100 Oct In Glaucoma
Author Affiliations & Notes
  • Yoshiaki Kiuchi
    Ophthalmology & Visual Science, Hiroshima University, Minami-Ku, Japan
  • Paramastri Arintawati
    Ophthalmology & Visual Science, Hiroshima University, Minami-Ku, Japan
  • Takashi Sone
    Ophthalmology & Visual Science, Hiroshima University, Minami-Ku, Japan
  • Junko Tanaka
    Department of Epidemiology, Infectious Disease Control and Prevention,, Graduate School of Biomedical Science, Hiroshima University, Hiroshima, Japan
  • Footnotes
    Commercial Relationships  Yoshiaki Kiuchi, None; Paramastri Arintawati, None; Takashi Sone, None; Junko Tanaka, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 5071. doi:
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      Yoshiaki Kiuchi, Paramastri Arintawati, Takashi Sone, Junko Tanaka; Structure-function Relationship And Diagnostic Value Of Macular Measurement Using Rtvue-100 Oct In Glaucoma. Invest. Ophthalmol. Vis. Sci. 2011;52(14):5071.

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

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Abstract

Purpose: : To assess the relationship between visual field and macular ganglion cell complex (GCC) thickness measured by RTVue-100 Optical Coherence Tomography (OCT) and to evaluate the diagnostic value of GCC thickness for detecting preperimetric, early, moderate and severe glaucoma.

Methods: : Participant underwent reliable standard automated perimetry testing and OCT imaging with GCC scan. The relationship between structure and function was evaluated by comparing GCC average, focal loss volume (FLV) and global loss volume (GLV) with mean deviation (MD); GCC superior and with total deviation (TD) inferior; and GCC inferior with TD superior by regression analysis. The area under the receiver operating characteristic curve (AUC) was used to determine the relationship between disease severity and glaucomatous changes in GCC parameters.

Results: : One hundred and eighty nine glaucoma patients and 73 normal subjects were included in this study. Using second-order polynomial model, the relationship between GCC average and MD; GLV and MD; and GCC superior and TD inferior were significant with p<0.001, p=0.0004, p=0.029 respectively. For relationship between FLV and MD; and GCC inferior and TD superior were significant using third-order polynomial model, with p=0.029 and p=0.043 respectively. A GCC pattern parameter, FLV, had the highest AUC for detecting each stage of glaucoma, with AUC 0.672; 0.775; 0.887; 0.973 in preperimetric, early, moderate and severe glaucoma, respectively. There were significant difference between AUC for FLV and GCC, and FLV and GLV in moderate and severe glaucoma with p=0.016, p=004; p=0.036, p=0.02, respectively.

Conclusions: : Using second and third-order polynomial model, there were significant relationship between visual field and GCC thickness in glaucoma. The FLV had the highest AUC for detecting each stage of glaucoma. The AUC was higher with the severity of glaucoma stage.

Keywords: imaging/image analysis: clinical • ganglion cells • visual fields 
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