June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Cone density estimates derived from the reflectivity of the inner segment ellipsoid band on en-face spectral domain OCT
Author Affiliations & Notes
  • Maher Saleh
    Department of Ophthalmology, University Hospital of Besançon, Besançon, France
  • Alois Bully
    Department of Ophthalmology, University Hospital of Besançon, Besançon, France
    The Superior Institute for Biomedical Engineering (ISIFC), Besancon, France
  • Mathieu Flores
    Department of Ophthalmology, University Hospital of Besançon, Besançon, France
  • Footnotes
    Commercial Relationships Maher Saleh, None; Alois Bully, None; Mathieu Flores, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 4939. doi:
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      Maher Saleh, Alois Bully, Mathieu Flores; Cone density estimates derived from the reflectivity of the inner segment ellipsoid band on en-face spectral domain OCT . Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):4939.

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

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Abstract

Purpose: The objective of this project is to develop, test and validate a software allowing to estimate photoreceptor density derived from the inner segment ellipsoid (ISe) band reflectivity on en-face OCT.

Methods: Eight eyes displaying various degrees of outer retinal impairment (five eyes with resolved central serous chorioretinopathy, one with hydroxychloroquine toxicity, and two healthy eyes) were imaged using a spectral-domain OCT (Spectralis, Heidelberg, Heidelberg Engineering, Germany). En-face OCT was generated from horizontal transverse scans, 11µ apart, with a resolution of 384A scan/Bscan. Segmentation of the Ise band was automatically performed with the Heidelberg Explorer plug-in provided by the manufacturer. The relevance of the “PR1” segmentation line was checked by two readers. At the same time, a software running on Matlab, (Matlab, Mathworks Inc., Natick, USA) that transforms the grey level into cone density was developed. Its algorithm is based on a previous work comparing OCT reflectivity and adaptive optics. The program determines the cone density in a ring ranging from 1.5 to 2 degrees of eccentricity from the fovea. In order to validate the estimates, cone densities were measured in the same eyes, in a blind manner, by an independent observer, using adaptive optics (AOdetect v0.2, Imagine Eyes, Orsay, France).

Results: Thirty five points of comparison were obtained. The program estimates were closely correlated with the results of the reference counting method, i.e. adaptive optics (r2=0.81, p<0.05). Bland-Altman plot displayed a moderate estimated bias of 204±2660 cellules/mm2(CI95%: 5008-5418). The estimatation was considered relevant (defined as a difference of more and less 10%) in 80% of the cases.

Conclusions: It has become possible to estimate cone density with an OCT device currently used in routine practice, at least in a defined retinal area. Improvement in the acquisition procedure (resolution, artefact management...) will eventually improve the accuracy of the results.

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