April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
Reproducibility of Total Retinal Thickness in 5 SD-OCT Scanners using Iowa Reference Algorithm
Author Affiliations & Notes
  • Adnan Rashid
    Dept. of Electrical and Computer Engineering, The University of Iowa, Iowa city, IA
  • Ursula Schmidt-Erfurth
    Ophthalmology & Optometry, Medical University of Vienna, Vienna, Austria
    Christian Doppler Laboratory for Ophthalmic Image Analysis,Department of Ophthalmology, Vienna Reading Center, Vienna, Austria
  • Bianca Gerendas
    Christian Doppler Laboratory for Ophthalmic Image Analysis,Department of Ophthalmology, Vienna Reading Center, Vienna, Austria
  • Sebastian M Waldstein
    Christian Doppler Laboratory for Ophthalmic Image Analysis,Department of Ophthalmology, Vienna Reading Center, Vienna, Austria
  • Andreas Wahle
    Dept. of Electrical and Computer Engineering, The University of Iowa, Iowa city, IA
  • Christian Simader
    Christian Doppler Laboratory for Ophthalmic Image Analysis,Department of Ophthalmology, Vienna Reading Center, Vienna, Austria
  • Kyungmoo Lee
    Dept. of Electrical and Computer Engineering, The University of Iowa, Iowa city, IA
  • Kai Wang
    Biostatistics, The University of Iowa, Iowa City, IA
  • Milan Sonka
    Dept. of Electrical and Computer Engineering, The University of Iowa, Iowa city, IA
    Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA
  • Michael David Abramoff
    Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA
    Veterans Affairs, Medical Center, Iowa City, IA
  • Footnotes
    Commercial Relationships Adnan Rashid, None; Ursula Schmidt-Erfurth, Alcon (C), Bayer (C), Boehringer (C), Novartis (C); Bianca Gerendas, None; Sebastian Waldstein, None; Andreas Wahle, None; Christian Simader, None; Kyungmoo Lee, None; Kai Wang, None; Milan Sonka, UI (P); Michael Abramoff, IDx (E), IDx (I), UI (P)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 4786. doi:
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    • Get Citation

      Adnan Rashid, Ursula Schmidt-Erfurth, Bianca Gerendas, Sebastian M Waldstein, Andreas Wahle, Christian Simader, Kyungmoo Lee, Kai Wang, Milan Sonka, Michael David Abramoff; Reproducibility of Total Retinal Thickness in 5 SD-OCT Scanners using Iowa Reference Algorithm. Invest. Ophthalmol. Vis. Sci. 2014;55(13):4786.

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

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Abstract
 
Purpose
 

A comparison of total retinal thickness (TRT) measurements is presented using the Iowa Reference Algorithm from 5 commercially available Spectral-Domain Optical Coherence tomography (SD-OCT) scanners.

 
Methods
 

Fovea-centered SD-OCT volumes from 11 subjects were obtained at the Vienna Reading Center, Austria: 4 normal, 1 atrophic AMD, 1 macular hole, 2 Stargardt’s, 3 atrophic CNV. Serial-imaging OCT scans (all 6×6×2 mm3) were obtained using: CirrusTM HD-OCT (Carl Zeiss Meditec, 512×128×1024 voxels), RTVue (Optovue, 513×101×640), RS 3000 (Nidek, 512×128×512), Heidelberg Spectralis® (Heidelberg Engineering, 512×49×496), Topcon (Topcon, 512×128×885). The Iowa Reference Algorithm, which routinely segments 10 retinal layers, measured TRT as the average of all the A-scan voxels between inner limiting membrane and Bruch’s membrane surfaces. The model of TRT measurement comparisons across the 5 SD-OCT devices is Χmimm μimi. Xmi is a measurement from a device expressing the true value μi with intercept αm and slope βm, with εmi having mean=0 and variance=1. This model is more general than limit of agreement analysis, as βm are not required to be the same and be equal to 1. Mendel test was used to investigate whether the 5 βm values are the same. Bland Altman plots are provided and 5 SD-OCT pairwise predictive equations expressed via method comparison, using “additivityTests” and “MethComp” from the R package.

 
Results
 

Mendel test on the proposed model reveals that the five βm expressing that the differences among the TRT measurements are constant (p=0.992). Having established this, Table 1 details the ten predictive equations among 5 SD-OCT devices in a pair-wise manner. The scatter plots with predictive lines and upper/lower 95% confidence limits and Bland Altman plots are shown in Figure 1.

 
Conclusions
 

The achieved p-value of 0.992 with the proposed model for 5 SD-OCTs establishes the cross-scanner reproducibility of the Iowa Reference algorithm. TRT measurements are highly reproducible, thus facilitating multi-center studies with heterogeneous device utilization.

 
 
Table 1 Details ten predictive equations with predictive error.
 
Table 1 Details ten predictive equations with predictive error.
 
 
Figure 1 Pair-wise comparisons of 5 SD-OCTs via Bland Altman plots (upper triangle) and scatter plots (lower triangle). The predictive line (solid), identity line (bold solid), and 95% upper/lower limits (dashed) are given with predictive equations and ±SD of predictive errors.
 
Figure 1 Pair-wise comparisons of 5 SD-OCTs via Bland Altman plots (upper triangle) and scatter plots (lower triangle). The predictive line (solid), identity line (bold solid), and 95% upper/lower limits (dashed) are given with predictive equations and ±SD of predictive errors.
 
Keywords: 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • 551 imaging/image analysis: non-clinical • 688 retina  
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