April 2009
Volume 50, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2009
Influence of Retinal Blood Vessels on Diagnostic Accuracy of Rnfl Thickness Measurements Using Spectral-Domain Oct to Detect Glaucoma
Author Affiliations & Notes
  • C. Y. Mardin
    Ophthalmology, University Erlangen-Nurnberg, Erlangen, Germany
  • F. K. Horn
    Ophthalmology, University Erlangen-Nurnberg, Erlangen, Germany
  • D. Baleanu
    Ophthalmology, University Erlangen-Nurnberg, Erlangen, Germany
  • A. G. M. Juenemann
    Ophthalmology, University Erlangen-Nurnberg, Erlangen, Germany
  • R. Laemmer
    Ophthalmology, University Erlangen-Nurnberg, Erlangen, Germany
  • F. Kruse
    Ophthalmology, University Erlangen-Nurnberg, Erlangen, Germany
  • R. P. Tornow
    Ophthalmology, University Erlangen-Nurnberg, Erlangen, Germany
  • Footnotes
    Commercial Relationships  C.Y. Mardin, None; F.K. Horn, None; D. Baleanu, None; A.G.M. Juenemann, None; R. Laemmer, None; F. Kruse, None; R.P. Tornow, None.
  • Footnotes
    Support  Deutsche Forschungsgemeinschaft SFB 539
Investigative Ophthalmology & Visual Science April 2009, Vol.50, 3333. doi:
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      C. Y. Mardin, F. K. Horn, D. Baleanu, A. G. M. Juenemann, R. Laemmer, F. Kruse, R. P. Tornow; Influence of Retinal Blood Vessels on Diagnostic Accuracy of Rnfl Thickness Measurements Using Spectral-Domain Oct to Detect Glaucoma. Invest. Ophthalmol. Vis. Sci. 2009;50(13):3333.

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

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Abstract

Purpose: : To measure the potential influence of retinal blood vessels (rbv) on the diagnostic accuracy of RNFL thickness measurements to detect glaucoma.

Methods: : Circular B-Scans (diameter 3.4 mm, 768 AScans) around the optic nerve head (ONH) where acquired in 99 healthy subjects and 48 Glaucoma patients using spectral domain OCT (Spectralis HRA & OCT, Heidelberg Engineering) and RNFL thickness was measured. B-Scan images were exported and the position of rbv was calculated by locating the rbvs’ shadows in the layer of the pigment epithelium using a customized software (see fig.). RNFL thickness was set to zero at positions were rbv were found. Two data sets were used for further calculations: one with rbv included in the RNFL thickness results and one without rbv. The thickness values were averaged to 6 sectors (with 0° corresponding temporal, horizontal): temporal (315 - 34 deg), temporal-superior TS (34 - 79 deg), superior S (79 - 124 deg), nasal N (124 - 225 deg), inferior I (225 - 270 deg), temporal-inferior TI (270 - 315 deg). Diagnostic accuracy was investigated using ROC-curves for mean and sectoral RNFL thickness.

Results: : Mean thickness in normal subjects was (mean±SD) (99±9) µm and (88±8) µm with and without vessels, respectively. This resulted in a mean thickness of the rbv layer of 11 µm corresponding to 11 % of the total RNFL. The fraction of the rbv contribution to RNFL thickness in the 6 sectors was highest superiorly and temporally: T: (2±3) %, TS: (15±7) %, S: (15±9) %, N: (9±4) %, I: (14±7) %, TI: (15±6) %. There was no difference in the area under the ROC curves for mean RNFL thickness (0.982 vs 0.983) with and without rbv and in the 6 sectors.

Conclusions: : The exclusion of rbv from RNFL thickness measurements using spectral domain OCT does not affect the diagnostic accuracy of RNFL thickness measurements in this data set.

Clinical Trial: : www.clinicaltrials.gov http://www.clinicaltrials.gov/ct2/show/NCT00494923

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