May 2006
Volume 47, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2006
Evaluation of the Retina of Subjects Without Diabetes Mellitus and Subjects With Diabetes Mellitus Without Diabetic Retinopathy Using Optical Coherence Tomography
Author Affiliations & Notes
  • A.H. Kashani
    Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD
  • S.M. Shah
    Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD
  • J. Haller
    Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD
  • E.S. West
    Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD
  • I. Zimmer–Galler
    Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD
  • J.U. Sung
    Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD
  • E. Quinlan
    Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD
  • D.V. Do
    Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD
  • P.A. Campochiaro
    Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD
  • Q.D. Nguyen
    Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD
  • Footnotes
    Commercial Relationships  A.H. Kashani, None; S.M. Shah, None; J. Haller, None; E.S. West, None; I. Zimmer–Galler, None; J.U. Sung, None; E. Quinlan, None; D.V. Do, None; P.A. Campochiaro, None; Q.D. Nguyen, None.
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science May 2006, Vol.47, 1012. doi:
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      A.H. Kashani, S.M. Shah, J. Haller, E.S. West, I. Zimmer–Galler, J.U. Sung, E. Quinlan, D.V. Do, P.A. Campochiaro, Q.D. Nguyen; Evaluation of the Retina of Subjects Without Diabetes Mellitus and Subjects With Diabetes Mellitus Without Diabetic Retinopathy Using Optical Coherence Tomography . Invest. Ophthalmol. Vis. Sci. 2006;47(13):1012.

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

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Abstract

Purpose: : To detect early changes and differences in foveal thickness and macular volume among non–diabetic (ND) patients and diabetics (DB) without clinical signs of diabetic retinopathy (DR) using optical coherence tomography (OCT) scanned by StratusOCT(TM);

Methods: : Diabetic patients were eligible for the study if they had no signs of DR on retinal examination. Non–diabetic patients were recruited among volunteers. OCT scanning was performed on one StratusOCT(TM) apparatus by a single, experienced OCT operator, using "Fast Macular" and "6mm Cross–Hair" protocols. Analyses were performed employing StratusOCT(TM) software for both 3.45mm and 6.0mm regions of macula. Statistical comparisons were made using linear regression models.

Results: : Thirty–three DB and 20 ND were enrolled in the study. The mean age (years±SD) for DB and ND was 52±13 and 40±10, respectively. Mean foveolar thickness was 151±23 microns and 156±22 microns for DB and ND, respectively. Mean foveal thickness was 184±23 microns for DB versus 193±23 microns for ND. Data were analyzed with a linear regression model controlling for the correlation between two eyes of the same subject, age and gender. In this model, diabetes and African–American race were both significant predictors of decreased mean foveolar thickness (p<0.0051 diabetes; p<0.0001 race) and decreased mean foveal thickness (p<0.0002 diabetes; p<0.0001 race). In contrast, total macular volume was not significantly correlated with any of the variables in our analysis.

Conclusions: : The observed OCT data show a trend towards decreased retinal thickness in DB without DR as compared to ND controls. Additional studies are needed to determine if this finding is correct, because it has potentially important implications. Pathologic studies in diabetic animals have suggested retinal neuronal and glial cell death relatively early in diabetes that may precede detectable retinopathy, which could provide an explanation for reduced foveal thickness early in diabetes. If the data reported here are confirmed, OCT may be useful for detection of early diabetic retinopathy.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • diabetic retinopathy • clinical (human) or epidemiologic studies: systems/equipment/techniques 
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