June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Structural parameters associated with location of peaks of peripapillary retinal nerve fiber layer thickness in young healthy eyes
Author Affiliations & Notes
  • Takehiro Yamashita
    Ophthalmology, Kagoshima University, Kagoshima, Japan
  • Ryo Asaoka
    Ophthalmology, The University of Tokyo, Tokyo, Japan
  • Yuya Kii
    Ophthalmology, Kagoshima University, Kagoshima, Japan
  • Hiroto Terasaki
    Ophthalmology, Kagoshima University, Kagoshima, Japan
    Doheny Eye Institute, Los Angeles, California, United States
  • Hiroshi Murata
    Ophthalmology, The University of Tokyo, Tokyo, Japan
  • Taiji Sakamoto
    Ophthalmology, Kagoshima University, Kagoshima, Japan
  • Footnotes
    Commercial Relationships   Takehiro Yamashita, None; Ryo Asaoka, None; Yuya Kii, None; Hiroto Terasaki, None; Hiroshi Murata, None; Taiji Sakamoto, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 3984. doi:
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    • Get Citation

      Takehiro Yamashita, Ryo Asaoka, Yuya Kii, Hiroto Terasaki, Hiroshi Murata, Taiji Sakamoto; Structural parameters associated with location of peaks of peripapillary retinal nerve fiber layer thickness in young healthy eyes. Invest. Ophthalmol. Vis. Sci. 2017;58(8):3984.

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

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Abstract

Purpose : To generate equations that can determine the location of the peaks of the circumpapillary retinal nerve fiber layer (cpRNFL) thickness using the structural parameters of the eye.

Methods : A prospective, observational, cross sectional study of 118 healthy right eyes. All had ophthalmologic examinations including optical coherence tomography of the cpRNFL. The axial length, optic disc tilt, superiortemporal (ST)- and inferiortemporal (IT)-peaks of the cpRNFL thickness, and angles of the ST and IT retinal arteries (RA) and veins (RV) were determined from fundus photographs and images of the RNFL. The correlations between the location of the ST- and IT-peaks and ocular structural parameters and the sex and body height and weight were calculated. The best fit equations to determine the location of the ST-peak and IT-peak were determined using the model selection with corrected-Akaike Information Criteria from the ocular and systemic variables.

Results : The equation for the location of the ST-peak was 0.72+(0.40×ST-RA)+(0.27×ST-RV)+(0.14×height)-(0.47×papillo-macular-position)-(0.11× disc tilt) with a coefficient of correlation of 0.61 (P<0.0001). The location of the IT-peak was 21.88+(0.53×IT-RA)+(0.15×IT-RV)+(0.041×corneal thickness)-(1.00×axial length) with a coefficient of correlation of 0.59 (P<0.0001).

Conclusions : The location of ST peak and IT peak is determined by different parameters of the ocular structure. These equations should allow clinicians to obtain a more accurate location of the ST- and IT peaks which should then allow clinicians to make a more accurate diagnosis of glaucoma.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

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