April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Standardizing Retinal Thickness Measurements Across SDOCT Machines - 5 Point Measurement Method
Author Affiliations & Notes
  • Dawn Myers
    UW Dept of Ophthalmology & Vis Sc, Fundus Photograph Reading Ctr, Madison, Wisconsin
  • Amitha Domalpally
    UW Dept of Ophthalmology & Vis Sc, Fundus Photograph Reading Ctr, Madison, Wisconsin
  • Jill Kubiak
    UW Dept of Ophthalmology & Vis Sc, Fundus Photograph Reading Ctr, Madison, Wisconsin
  • Qian Peng
    UW Dept of Ophthalmology & Vis Sc, Fundus Photograph Reading Ctr, Madison, Wisconsin
  • Ronald Danis
    UW Dept of Ophthalmology & Vis Sc, Fundus Photograph Reading Ctr, Madison, Wisconsin
  • Footnotes
    Commercial Relationships  Dawn Myers, None; Amitha Domalpally, None; Jill Kubiak, None; Qian Peng, None; Ronald Danis, None
  • Footnotes
    Support  RPB
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 1016. doi:
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    • Get Citation

      Dawn Myers, Amitha Domalpally, Jill Kubiak, Qian Peng, Ronald Danis; Standardizing Retinal Thickness Measurements Across SDOCT Machines - 5 Point Measurement Method. Invest. Ophthalmol. Vis. Sci. 2011;52(14):1016.

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

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Abstract

Purpose: : The outer boundary line (BL) location differs among SDOCT vendors making it difficult to compare retinal thickness data in clinical trials. No automated software is commercially available that can segment a common BL from all SDOCT types. Manual segmentation of BLs is effort intensive using vendor’s software. We evaluated the accuracy and efficiency of caliper measurement to generate a central subfield (CSF) thickness value comparable to the CSF generated from manual segmentation.

Methods: : SDOCT raster volume scans from 41 eyes with various retinal diseases were taken with Spectralis or Cirrus machines were evaluated in the vendor’s software. The BLs were redrawn to top of RPE in all B scans in the CSF. Caliper measurement was performed (ILM -RPE) at the center point (CPT) and 500µ from the center in 4 directions vertically and horizontally. CSF was generated in 3 different ways: 1) A regression equation; imputed CSF = 0.85xCPT+58.6 (similar to DRCR network approach), imputes the CSF from a single CPT measurement. This equation was developed on an independent SDOCT dataset using the correlation between machine generated CPT and CSF thickness. 2) The 5 caliper measured points were averaged to calculate CSF. 3) Machine regenerated CSF after manual segmentation, the "gold standard".

Results: : The mean imputed CSF was 371µ (199), 5 point CSF was 392 µ (192) and manually segmented CSF was 390µ (197). The mean difference between imputed CSF and manually segmented CSF was 19.55 µ (limits of agreement, -34.66, 73.76). The mean difference between 5 point CSF and manually segmented CSF was 2. 24 µ (limits of agreement, -30.96, 26.48). Imputed CSF differed by >20 µ from manual segmentation in 52%, whereas 5 point CSF differed by >20 µ from manual segmentation in only 12% of scans.

Conclusions: : The difference between 5 point CSF and manually segmented CSF is well within 20µ, the reported repeatability in SDOCT measurements. Until a solution towards a common outer BL can be found for SDOCTs, the 5 point caliper measurement is a potential alternative solution that should be evaluated in a larger dataset.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • retina • clinical research methodology 
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