June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Assessment of OCT image layer segmentation results using a common platform system compared to original equipment manufacturer software
Author Affiliations & Notes
  • Hanna Rodriguez Coleman
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
    Ophthalmology, DARC/WCC, California, United States
  • Jason S Slakter
    Ophthalmology, NYU Langone Health, New York, New York, United States
    Ophthalmology, DARC/WCC, California, United States
  • Daniel Russakoff
    Voxeleron Inc, California, United States
  • Jonathan Oakley
    Voxeleron Inc, California, United States
  • Footnotes
    Commercial Relationships   Hanna Coleman None; Jason Slakter None; Daniel Russakoff Voxeleron, Code E (Employment); Jonathan Oakley Voxeleron, Code E (Employment)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 3383. doi:
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      Hanna Rodriguez Coleman, Jason S Slakter, Daniel Russakoff, Jonathan Oakley; Assessment of OCT image layer segmentation results using a common platform system compared to original equipment manufacturer software. Invest. Ophthalmol. Vis. Sci. 2023;64(8):3383.

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

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Abstract

Purpose : To compare OCT image layer segmentation results of a dedicated third-party OCT segmentation software against the original equipment manufacturer (OEM) software from the Carl Zeiss Cirrus and Heidelberg Spectralis systems.

Methods : A total of 131 eyes from a population with neovascular AMD were imaged twice, once with a Spectralis OCT camera (Heidelberg Engineering – Heidelberg, Germany) and once with a Cirrus OCT camera (Carl Zeiss Meditec– Dublin, CA). Segmentation was performed using the OEM software that came with each camera as well as with the Orion (Voxeleron - Austin, TX) OCT segmentation software. The central subfield thickness (CST) was calculated (measured from the ILM to Bruch’s membrane for Spectralis images and from ILM to “RPE Fit” layer which approximates Bruch membrane on the Cirrus software) in each of the following cases:
1. Cirrus OEM software on Cirrus OCT image
2. Spectralis OEM software on Spectralis OCT image
3. Orion software on Cirrus OCT image
4. Orion software on Spectralis OCT image
The CSTs for all eyes were compared against each using the Pearson correlation coefficient to measure agreement.

Results : As shown in Table 1, the common platform analysis of OCT image layer segmentation with the Orion software correlated better with their respective OEM results than the OEM results correlated with each other. A Pearson correlation coefficients comparing each of the pairs of observations. Of particular note is that, while the correlation between the Spectralis OEM and Cirrus OEM software is “Strong” [1] (bold) the correlation between Orion’s results for the Spectralis and Cirrus is “Very Strong” (bold italics).

Conclusions : Using a common platform software to analyze OCT images from multiple system manufacturers provides for a reduction in variability of automated outputs as well as potential a more streamlined workflow for reading centers tasked with evaluating images across multiple sites in large clinical trials.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

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