May 2006
Volume 47, Issue 13
ARVO Annual Meeting Abstract  |   May 2006
Characterization of Central Serous Chorioretinopathy by Optical Coherence Tomography Sub–Analysis
Author Affiliations & Notes
  • D. Yu
    Ophthalmology, Doheny Eye Institute, Pasadena, CA
  • S. Sadda
    Ophthalmology, Doheny Eye Institute, Pasadena, CA
  • P.G. Updike
    Ophthalmology, Doheny Eye Institute, Pasadena, CA
  • A. Walsh
    Ophthalmology, Doheny Eye Institute, Pasadena, CA
  • Footnotes
    Commercial Relationships  D. Yu, None; S. Sadda, None; P.G. Updike, None; A. Walsh, None.
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science May 2006, Vol.47, 3232. doi:
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    • Get Citation

      D. Yu, S. Sadda, P.G. Updike, A. Walsh; Characterization of Central Serous Chorioretinopathy by Optical Coherence Tomography Sub–Analysis . Invest. Ophthalmol. Vis. Sci. 2006;47(13):3232.

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

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Purpose: : Optical coherence tomography provides superb morphologic information about the state of the retina in diseases such as central serous chorioretinopathy (CSCR). However, the automated quantification routines included with the Stratus OCTTM device incorrectly identify the boundaries of the retina in CSCR by lumping together the subretinal and retinal spaces. Custom software was written at the Doheny Image Reading Center (DIRC) to allow a human grader to accurately measure retinal and subretinal features on OCT B–scans. This software was used on data from patients with CSCR to determine if their functional impairment could be attributed to any measurable disease components.

Methods: : Thirty–four optical coherence tomograms (OCT) of 19 eyes of 12 patients with CCSR were graded independently by two investigators using our custom OCT analysis software. Grading consisted of outlining the internal limiting membrane, the photoreceptor outer segments and the RPE hyperreflective band using a computer mouse. Thickness and volumes were calculated for the retina and subretinal space. These values were compared to automated measurements from Stratus OCTTM and were also correlated with visual acuity.

Results: : Stratus OCTTM overestimated the actual retinal thickness measured with our software by an average of 37.5% (range –20% to 256%). However, automated total macular volume measurements from Stratus OCTTM correlated well with visual acuity (r2 = 0.58, p<.01). Subretinal volumes measured with our software had a similar correlation with vision (r2=0.61, p<.01 ), while true retinal thickness and volume did not correlate with visual acuity (rR2=0.00). No correlation was found between subretinal and retinal volumes (r2=0.07). The average difference in actual retinal thickness measurements between graders was <5%.

Conclusions: : Quantitative sub–analysis of OCT data provides a method of calculating the actual retinal volume as well as the volume of the subretinal space in CSCR. In this study, actual retinal thickness did not vary with the volume of subretinal fluid nor did it correlate with visual acuity. The volume of subretinal fluid did correlate with vision loss and may be more predictive of visual impairment in this disease.

Keywords: retina • retinal detachment • pathology: human 

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