April 2011
Volume 52, Issue 14
Free
ARVO Annual Meeting Abstract  |   April 2011
Choroidal Thickness in Diabetic Eyes Using SD-OCT Enhanced Depth Imaging
Author Affiliations & Notes
  • Huiqi Lu
    Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom
    St Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
  • Yalin Zheng
    Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom
    St Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
  • Alexandros N. Stangos
    St Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
  • Deborah Broadbent
    St Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
  • Jayashree Sahni
    St Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
  • Simon P. Harding
    Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom
    St Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
  • Footnotes
    Commercial Relationships  Huiqi Lu, None; Yalin Zheng, None; Alexandros N. Stangos, None; Deborah Broadbent, None; Jayashree Sahni, None; Simon P. Harding, None
  • Footnotes
    Support  The Cheshire & Merseyside Comprehensive Local Research Network; The Foundation for the Prevention of Blindness
Investigative Ophthalmology & Visual Science April 2011, Vol.52, 1292. doi:
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      Huiqi Lu, Yalin Zheng, Alexandros N. Stangos, Deborah Broadbent, Jayashree Sahni, Simon P. Harding; Choroidal Thickness in Diabetic Eyes Using SD-OCT Enhanced Depth Imaging. Invest. Ophthalmol. Vis. Sci. 2011;52(14):1292.

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

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Abstract
 
Purpose:
 

To measure choroidal thickness in the macular area in people with diabetes (PWD) using spectral-domain optical coherence tomography (SD-OCT) with an enhanced depth imaging (EDI) approach. To date, accurate choroidal thickness has not been reported in PWD.

 
Methods:
 

This was an observational study. Images were obtained from PWD by using EDI on SD- OCT (Spectralis OCT, Heidelberg, Germany). 7 sections, each comprised of 100 averaged scans (ART=100), were obtained within a 5×30 degree area. The choroidal thickness was measured between the outer edge of Bruch’s membrane and the inner edge of the presumed suprachoroidal space at 500-µm intervals of a horizontal section from 3 mm temporal to the fovea to the 3 mm nasal to the fovea, centred on the fovea. These interfaces were manually delineated independently by 2 clinicians (AS & JS) using ImageJ (NIH, US). A statistical analysis was performed on the SPSS 18 (SPSS Inc., Chicago, IL).

 
Results:
 

Scans were obtained from 28 eyes of 17 PWD (type 1= 4; type 2=13). Mean age was 53 years (range: 25-71). The mean thickness of the choroid at the fovea (±SD) was 245± 77µm, which was the thickest of the 13 positions measured (Table 1). There was decreased thickness with increasing distance from the foveal centre, especially in the nasal direction. The choroidal thickness negatively correlated with age (r=-0.347, p<0.01). Inter-observer correlation was statistically significant (r= 0.90, p<0.01).

 
Conclusions:
 

SD-OCT with an EDI approach allows the study, analysis and measurement of choroid in patients with diabetes. This technique can be useful to study the contributing role of the choroid in the pathophysiology of diabetic maculopathy.  

 
Keywords: diabetes • choroid • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) 
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