April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
A comparison of retinal nerve fiber layer thickness measurement using spectral domain and swept source optical coherence tomography
Author Affiliations & Notes
  • Ahnul Ha
    Ophthalmology, Seoul National University Bundang Hospital, Sungnam, Gyeonggi-do, Republic of Korea
  • Eun Ji Lee
    Ophthalmology, Seoul National University Bundang Hospital, Sungnam, Gyeonggi-do, Republic of Korea
  • Tae-Woo Kim
    Ophthalmology, Seoul National University Bundang Hospital, Sungnam, Gyeonggi-do, Republic of Korea
  • Footnotes
    Commercial Relationships Ahnul Ha, None; Eun Ji Lee, None; Tae-Woo Kim, Topcon (C)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 4741. doi:
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      Ahnul Ha, Eun Ji Lee, Tae-Woo Kim; A comparison of retinal nerve fiber layer thickness measurement using spectral domain and swept source optical coherence tomography. Invest. Ophthalmol. Vis. Sci. 2014;55(13):4741.

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

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Abstract
 
Purpose
 

To investigate the agreement between the retinal nerve fiber layer (RNFL) thickness measured by spectral domain (Spectralis) and swept source (DRI) optical coherence tomography (OCT), and to compare their glaucoma-discriminating capability.

 
Methods
 

This study included 55 healthy, 41 glaucoma suspects, and 87 glaucomatous eyes. RNFL thicknesses were measured with the scan circle centered on the optic nerve head. The RNFL thickness measured by the Spectralis (sdRNFL thickness) and DRI OCT (ssRNFL thickness) was compared using t-test. Bland-Altman analysis was performed to examine their agreement. Areas under the receiver operating characteristic curve (AROCs) of sdRNFL and ssRNFL thickness for discriminating glaucomatous eyes from healthy eyes, and glaucoma suspect eyes were compared.

 
Results
 

The average ssRNFL thickness was significantly greater than sdRNFL thickness in healthy (110.0±7.9 vs. 100±6.8 μm, P<0.001), glaucoma suspects (96.8±9.2 vs. 89.6±7.9 μm, P <0.001), and glaucomatous eyes (74.3±14.1 vs. 69.1±12.4 μm, P=0.011). Bland-Altman analysis showed a tendency that the difference between ssRNFL and sdRNFL became greater in eyes with thicker RNFL. The AROC of the average sdRNFL and ssRNFL thickness for discriminating glaucomatous eyes from healthy eyes (0.984 vs 0.986, P=0.492) and glaucoma suspect eyes (0.898 vs 0.888, P=0.463) was comparable.

 
Conclusions
 

The ssRNFL thickness was significantly different from sdRNFL.thickness. There was a tendency for ssRNFL thickness to be increasingly greater than sdRNFL thickness in eyes with thicker RNFL. The ssRNFL thickness had comparable diagnostic capability compared with sdRNFL thickness in discriminating glaucomatous eyes from healthy eyes and glaucoma suspect eyes.

 
 
Figure 1. Bland-Altman plot showing the relationship between the retinal nerve fiber layer (RNFL) thickness measured by spectral domain (Spectralis) and swept source (DRI) OCT. Note that the DRI measures the RNFL thickness increasingly greater than Spectralis in eyes with thicker RNFL.
 
Figure 1. Bland-Altman plot showing the relationship between the retinal nerve fiber layer (RNFL) thickness measured by spectral domain (Spectralis) and swept source (DRI) OCT. Note that the DRI measures the RNFL thickness increasingly greater than Spectralis in eyes with thicker RNFL.
 
 
Figure 2. The ROC curves for the average RNFL thickness measured by spectral domain (Spectralis) and swept source (DRI) OCT to discriminate glaucomatous eyes from healthy eyes (A) and glaucoma suspect eyes (B). sdAve=average RNFL thickness measured by spectral domain OCT, ssAve=average RNFL thickness measured by swept source OCT.
 
Figure 2. The ROC curves for the average RNFL thickness measured by spectral domain (Spectralis) and swept source (DRI) OCT to discriminate glaucomatous eyes from healthy eyes (A) and glaucoma suspect eyes (B). sdAve=average RNFL thickness measured by spectral domain OCT, ssAve=average RNFL thickness measured by swept source OCT.
 
Keywords: 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • 610 nerve fiber layer  
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