April 2009
Volume 50, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2009
Comparison of Segmentation Error Rate Between Stratus and Fourier-Domain Optical Coherence Tomography
Author Affiliations & Notes
  • C. Y. Chiou
    Ophthalmology and Vision Sciences, University of California, Davis, Sacramento, California
  • S. Modjtahedi
    Ophthalmology and Vision Sciences, University of California, Davis, Sacramento, California
  • L. S. Morse
    Ophthalmology and Vision Sciences, University of California, Davis, Sacramento, California
  • D. G. Telander
    Ophthalmology and Vision Sciences, University of California, Davis, Sacramento, California
  • S. S. Park
    Ophthalmology and Vision Sciences, University of California, Davis, Sacramento, California
  • Footnotes
    Commercial Relationships  C.Y. Chiou, None; S. Modjtahedi, None; L.S. Morse, None; D.G. Telander, None; S.S. Park, None.
  • Footnotes
    Support  None.
Investigative Ophthalmology & Visual Science April 2009, Vol.50, 1074. doi:
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      C. Y. Chiou, S. Modjtahedi, L. S. Morse, D. G. Telander, S. S. Park; Comparison of Segmentation Error Rate Between Stratus and Fourier-Domain Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2009;50(13):1074.

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

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Abstract

Purpose: : To compare the macular segmentation error rate between Stratus optical coherence tomography (OCT) and Fourier-domain OCT (RTvue).

Methods: : Retrospective study of patients imaged with Stratus and RTvue OCT on the same day. Segmentation error was defined as deviation of >50µm from visible morphologic landmarks. For each eye, the degree of error was defined as the proportion of scans with segmentation error.

Results: : OCT images from 93 eyes (76 subjects) were reviewed. The most common diagnoses in our study population included choroidal neovascular membrane (CNVM) (28%), cystoid macular edema (CME) (25%), and macular hole (8%). Thirteen eyes (14%) were normal. The overall segmentation error rate was similar with both instruments (29% with Stratus versus 32% with RTvue, p >0.05). However, among eyes with CME, a higher rate of segmentation error was noted with Stratus than RTvue (15% vs 0%, p<0.05). When the degree of error was quantitated, a similar overall mean was also noted (13.5±2.8% with Stratus versus 17.0±3.1% with RTvue). The diagnosis most commonly associated with segmentation error with both instruments was CNVM (54% with Stratus, 59% with RTvue).

Conclusions: : Despite the improved image resolution expected with RTvue, there was a surprisingly similar overall incidence of segmentation error between Stratus OCT and RTvue. The only exception was among eyes with CME where RTvue had lower segmentation error rate than Stratus. With both instruments, CNVM was the diagnosis most commonly associated with segmentation error.

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