March 2012
Volume 53, Issue 14
Free
ARVO Annual Meeting Abstract  |   March 2012
SDOCT Thickness and Volume Measurements of various Retinal Layers in Patients with Autosomal Dominant Optic Atrophy due to OPA1 mutations
Author Affiliations & Notes
  • Tina Ristau
    Cologne Image Reading Center, Department of Ophthalmology,
    University of Cologne, Cologne, Germany
  • Andrea M. Schild
    Department of Ophthalmology,
    University of Cologne, Cologne, Germany
  • Julia Fricke
    Department of Ophthalmology,
    University of Cologne, Cologne, Germany
  • Antje Neugebauer
    Department of Ophthalmology,
    University of Cologne, Cologne, Germany
  • Bernd Kirchhof
    Department of Ophthalmology,
    University of Cologne, Cologne, Germany
  • Srinivas R. Sadda
    Doheny Image Reading Center, Doheny Eye Institute, Los Angeles, California
  • Sandra Liakopoulos
    Cologne Image Reading Center, Department of Ophthalmology,
    University of Cologne, Cologne, Germany
  • Footnotes
    Commercial Relationships  Tina Ristau, None; Andrea M. Schild, None; Julia Fricke, None; Antje Neugebauer, None; Bernd Kirchhof, None; Srinivas R. Sadda, Carl Zeiss Meditec, Optovue Inc. (F), Heidelberg Engineering (C), Topcon Medical Systems (P, R); Sandra Liakopoulos, Heidelberg Engineering (R)
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science March 2012, Vol.53, 816. doi:
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      Tina Ristau, Andrea M. Schild, Julia Fricke, Antje Neugebauer, Bernd Kirchhof, Srinivas R. Sadda, Sandra Liakopoulos; SDOCT Thickness and Volume Measurements of various Retinal Layers in Patients with Autosomal Dominant Optic Atrophy due to OPA1 mutations. Invest. Ophthalmol. Vis. Sci. 2012;53(14):816.

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

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Abstract

Purpose: : To specify thickness values of various retinal layers on spectral domain OCT (SDOCT) volume scans in patients with Autosomal Dominant Optic Atrophy (ADOA) associated with OPA-1 mutations compared to healthy controls.

Methods: : SDOCT Volume scans (3x3mm) of 7 right eyes of patients with newly diagnosed ADOA and OPA-1 mutation and of 7 right eyes of healthy controls matching in age, gender and refractive error were retrospectively collected. Mean age was 25 for ADOA patients and 26 for controls (range 4-48 years). Visual acuity ranged from 20/400 to 20/40 (mean 0.7 logMAR) in ADOA patients, all controls had 20/20 vision. SDOCT volume scans were quantitatively analyzed using computer-assisted manual grading software (3D-OCTOR). Mean thickness values for the central subfield of the ETDRS grid (FCS, 1 mm diameter) and ETDRS subfields 5-8 (inner circle, 3 mm diameter) were calculated for the spaces: neurosensory retina, retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), a combined space of inner and outer plexiform layer and inner nuclear layer (IPL+INL+OPL) and outer nuclear layer (ONL). Thickness values of patients and controls were compared using Mann-Whitney-Rank-Sum-Test.

Results: : Mean retinal thickness was 319.50 µm (for inner circle) and 246.51 µm (for FCS) in healthy controls, compared to 255.67 µm (for inner circle) and 213.76 µm (for FCS) in ADOA patients. ADOA patients showed statistically significant lower retinal thickness values than healthy controls, and this was even more evident for the inner circle compared to the FCS (p<0.01 for FCS, p<0.001 for inner circle). Subanalysis of retinal layers revealed that RNFL thickness (p<0.001 for FCS and for inner circle) as well as GCL thickness (p<0.001 for FCS and for inner circle) measurements were significantly lower in patients with ADOA. However, there was no difference in ONL thickness values as well as in IPL+INL+OPL thickness values between both groups.

Conclusions: : The RNFL as well as the GCL were significantly thinner in patients with ADOA due to OPA1 mutations compared to healthy controls. All other retinal layers showed no difference between both groups. These findings may help to identify patients with possible hereditary optic neuropathy, before genetic analysis confirms the diagnosis.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • optic nerve • retina 
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