April 2011
Volume 52, Issue 14
ARVO Annual Meeting Abstract  |   April 2011
Retinal Nerve Fiber Layer Thickness Measurements after Optical Coherence Tomography Software Upgrade
Author Affiliations & Notes
  • Leonard Seibold
    Ophthalmology, University of Colorado, Denver, Colorado
  • Naresh Mandava
    Ophthalmology, University of Colorado, Denver, Colorado
  • Malik Y. Kahook
    Ophthalmology, University of Colorado, Denver, Colorado
  • Footnotes
    Commercial Relationships  Leonard Seibold, None; Naresh Mandava, Genentech (F); Malik Y. Kahook, Alcon (F, C), Allergan (F, C), American Glaucoma Society (F), Genentech (F), Merck (C), State of Colorado (F), USFDA (C)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 3676. doi:
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    • Get Citation

      Leonard Seibold, Naresh Mandava, Malik Y. Kahook; Retinal Nerve Fiber Layer Thickness Measurements after Optical Coherence Tomography Software Upgrade. Invest. Ophthalmol. Vis. Sci. 2011;52(14):3676.

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

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Purpose: : To determine the impact of software upgrades on retinal nerve fiber layer thickness (RNFL) measurements taken by spectral domain optical coherence tomography (OCT).

Methods: : 80 normal eyes (40 patients) were scanned for RNFL thickness measurements using the Spectralis (Heidelberg Engineering, Heidelberg, Germany) spectral-domain OCT instrument by a single experienced operator on the same day. All eyes underwent initial baseline examination including Snellen visual acuity, intraocular pressure measurement, gonioscopy, optic nerve head exam, and Humphrey visual field examination. Scan analysis was performed using version 4.0 software and then raw data reanalyzed after upgrade to version 5.1.3. Student paired t testing and Pearson's correlation coefficient were used for statistical analysis.

Results: : The correlation of average and quadrant RNFL thicknesses generated using version 4.0 and 5.1.3 software on Spectralis was very high. For average RNFL thickness, Pearson correlation coefficient was 0.998 while quadrant thickness ranged 0.996-0.957. The average RNFL thickness using version 4.0 software was 107.41 µm ± 13.30 and 107.34 µm ± 13.13 for version 5.1.3 software. The difference of +0.07 µm did not reach significance (p=0.488). Version 5.1.3 also generated thinner RNFL measurements compared to its predecessor in the temporal, nasal, and inferior quadrants. Mean quadrant RNFL differences between version 4.0 and 5.1.3 were +0.37 µm (p=0.055) temporal, -1.15 µm (p=0.096) superior, +0.26 µm (p= 0.294) nasal, and 0.00 µm (p=1.000) inferior.

Conclusions: : Recent studies have shown significant differences in RNFL measurements from one OCT manufacturer to the next and from time-domain to spectral-domain. This is the first study to evaluate for differences in thickness values due solely to upgrades in software version. There is excellent correlation in RNFL thickness measurements taken on Spectralis OCT and analyzed before and after software upgrades. While the thickness values are not identical, the difference did not reach statistical significance. Clinicians should be aware of these relationships when upgrading software versions in practice.

Keywords: optic nerve • imaging/image analysis: clinical • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) 

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