December 2008
Volume 8, Issue 17
Free
OSA Fall Vision Meeting Abstract  |   December 2008
Repeatability and reproducibility of alternative measures of retinal structure using OCT
Author Affiliations
  • Monica Jong
    Department of Optometry and Vision Science, University of Melbourne, Australia
  • Michael J. Panta
    Department of Optometry and Vision Science, University of Melbourne, Australia
Journal of Vision December 2008, Vol.8, 63. doi:https://doi.org/10.1167/8.17.63
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Monica Jong, Michael J. Panta; Repeatability and reproducibility of alternative measures of retinal structure using OCT. Journal of Vision 2008;8(17):63. https://doi.org/10.1167/8.17.63.

      Download citation file:


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

      ×
  • Supplements
Abstract

Previous studies of repeatability and reproducibility have found the StratusOCT to be a reliable measure of simple retinal thicknesses(1–5). New measures of retinal structure based on the longitudinal reflectivity profile (LRP) may provide additional information about retinal structure. The measures include total retinal thickness (TRT), inner retinal thickness (IRT), inner segment and outer nuclear layer thickness (IS+ONLT), outer segment and retinal pigment epithelial thickness (OS+RPET), retinal nerve fibre layer relative reflectivity (RNFLR) and inner segment/outer segment relative reflectivity (IS/R).

Intrasession repeatability and intersession reproducibility were examined in 64 and 29 normal subjects respectively using a custom scan protocol. Scans were taken along the horizontal and vertical meridians, to an eccentricity of 30 degrees. The coefficient of variation (CV) and intraclass correlation coefficient (ICC) were calculated for each measure.

On average the CV and ICC for repeatability was better than that for reproducibility (P0.75 to be excellent; [[gt]]0.40 but µ0.75 to be fair to good; µ0.40 to be poor agreement, all parameters measured showed excellent to good agreement except at the fovea, near retinal blood vessels, and towards the optic nerve. Repeatability and reproducibility for TRT, IRT, IS+ONLT, OS+RPET, IS/OSR and RNFLR was excellent to good; OS+RPET agreement was less reliable.

Thicker retinal sublayers are more reliably measured than thinner retinal sublayers. Measures of relative reflectivity are also reliable and may provide additional information about retinal structure that is not reflected in simple thickness measurements.

BaumannM.GentileR. C.LiebmannJ. M.RitchR. (1998). Reproducibility of retinal thickness measurements in normal eyes using optical coherence tomography. Ophthalmic Surgery & Lasers, 29(4), 280–285.

KoozekananiD.RobertsC.KatzS. E.HerderickE. E. (2000). Intersession repeatability of macular thickness measurements with the Humphrey 2000 OCT. Investigative Ophthalmology and Visual Science, 41(6), 1486–1491.

MuscatS.ParksS.KempE.KeatingD. (2002). Repeatability and reproducibility of macular thickness measurements with the Humphrey OCT system. Invest Ophthalmol Vis Sci, 43(2), 490–495.

MassinP.VicautE.HaouchineB.ErginayA.PaquesM.GaudricA. (2001). Reproducibility of retinal mapping using optical coherence tomography. Archives of Ophthalmology, 119(8), 1135–1142.

PaunescuL. A.SchumanJ. S.PriceL. L.StarkP. C.BeatonS.IshikawaH.WollsteinG.FujimotoJ. G. (2004). Reproducibility of Nerve Fiber Thickness, Macular Thickness, and Optic Nerve Head Measurements Using StratusOCT. Investigative Ophthalmology and Visual Science, 45(6), 1716–1724.

Jong, M. Panta, M. J. (2008). Repeatability and reproducibility of alternative measures of retinal structure using OCT [Abstract]. Journal of Vision, 8(17):63, 63a, http://journalofvision.org/8/17/63/, doi:10.1167/8.17.63. [CrossRef]
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×