June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Structured Method for Assessing Macular Holes by OCT and Correlations with Visual Outcomes
Author Affiliations & Notes
  • Zabrina Abdool
    John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
    ARC Centre of Excellence for Vision Sciences, Australian National University, Canberra, ACT, Australia
  • Jan Provis
    John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
    ARC Centre of Excellence for Vision Sciences, Australian National University, Canberra, ACT, Australia
  • William Campbell
    Vitreoretinal Unit, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, Australia
  • Alex Hunyor
    Retina Associates, Sydney Eye Hospital, Sydney, NSW, Australia
  • Ian McAllister
    Center for Ophthalmology and Visual Science, Lions Eye Institute, Perth, WA, Australia
  • Rohan Essex
    Department of Ophthalmology, The Canberra Hospital, Canberra, ACT, Australia
    ANU Medical School, Australian National University, Canberra, ACT, Australia
  • Footnotes
    Commercial Relationships Zabrina Abdool, None; Jan Provis, EyeCo (C); William Campbell, None; Alex Hunyor, Zeiss (R); Ian McAllister, None; Rohan Essex, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 3849. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Zabrina Abdool, Jan Provis, William Campbell, Alex Hunyor, Ian McAllister, Rohan Essex; Structured Method for Assessing Macular Holes by OCT and Correlations with Visual Outcomes. Invest. Ophthalmol. Vis. Sci. 2013;54(15):3849.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose: To develop an objective method to assess pre- and post-operative macular holes (MH) using optical coherence tomography (OCT) in a single surgeon cohort, and to explore the association between OCT parameters and visual outcomes.

Methods: Horizontal OCT B-scans at baseline and 3 months post-operative were analysed in 50 eyes undergoing surgery for idiopathic macular hole. Visual acuity (VA) was assessed pre-operative and at 3 months post-operative using VA letter score. In addition to various linear measurements, the cross-sectional area of the pre- and post-operative central 3mm macular region was measured, sub-divided into 4 layers. Layer 1: Inner limiting membrane (ILM) to the outer border of the inner plexiform layer (IPL); Layer 2: from layer 1 to the mid-line of the outer plexiform layer (OPL); Layer 3: from layer 2 to the external limiting membrane (ELM); and Layer 4: from layer 3 to the inner-border of the retinal pigment epithelium (RPE). The presence of inner nuclear layer (INL) or Henle’s layer cysts was noted. Correlations between change in area, presence of cysts and change in vision were calculated.

Results: Post-operatively, the percentage change in cross-sectional area of layers 1 thru 4 were -4%, -7%, -18% and +6% respectively. Change in layer 2 (the layer containing the inner nuclear layer (INL)) was significantly negatively correlated to change in vision (i.e. better improvements in visual acuity with greater loss of area, P=0.028). No significant correlation was observed between change in vision and change in the other layers. The presence of INL cysts pre-operatively, but not of Henle’s layer cysts, was significantly correlated with a greater postoperative improvement of vision (P = 0.013).

Conclusions: Conclusions: The pre-operative presence of inner retinal cysts, and a decrease in INL cross-sectional area at 3 months postoperative were associated with greater improvements in VA following macular hole surgery. In contrast, although outer retinal cross-sectional area, decreased more following surgery, this was not associated with greater visual acuity improvements.

Keywords: 586 macular holes • 550 imaging/image analysis: clinical • 552 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound)  
×
×

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.

×