June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Segmental analysis of the retinal single-layers in de novo drug-naïve Parkinson’s disease
Author Affiliations & Notes
  • Hyeong Min Kim
    Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
  • Jee yun Ahn
    Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
    Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea (the Republic of)
  • Tae Wan Kim
    Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
    Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea (the Republic of)
  • Martha Kim
    Department of Ophthalmology, Dongguk University Ilsan Hospital, Goyang, Korea (the Republic of)
  • Jee-Young Lee
    Department of Neurology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Korea (the Republic of)
    Department of Neurology, Seoul National University College of Medicine, Seoul, Korea (the Republic of)
  • Footnotes
    Commercial Relationships Hyeong Min Kim, None; Jee yun Ahn, None; Tae Wan Kim, None; Martha Kim, None; Jee-Young Lee, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 5928. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Hyeong Min Kim, Jee yun Ahn, Tae Wan Kim, Martha Kim, Jee-Young Lee; Segmental analysis of the retinal single-layers in de novo drug-naïve Parkinson’s disease. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):5928.

      Download citation file:


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

      ×
  • Supplements
Abstract
 
Purpose
 

To perform segmental analysis of the retinal single-layers in de novo drug-naïve Parkinson’s disease (PD) in order to assess the presence and degree of structural retinal change in the early stage of PD.

 
Methods
 

Fifty-four de novo PD (99 eyes) and 23 age-matched controls (39 eyes) were recruited. General ophthalmologic examination and optical coherence tomography (OCT) scans were done. Using automated segmentation software, the parafoveal retina was separated into 10 layers and the mean thickness of each retinal layer was calculated in the 9 sectors of the Early Treatment of Diabetic Retinopathy Study (ETDRS) macular map. The whole retinal layer (WRT), retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL) and photoreceptor layer (PR) thicknesses were compared between de novo PD and control.

 
Results
 

There were no significant differences in baseline demographic factors such as age, sex, logMAR visual acuity, spherical equivalent and axial length. De novo PD patients showed OPL thinning in the inferior and nasal sectors of the inner ETDRS circle (35.67±8.75 vs 39.79±12.00 mm, p=0.056 and 33.69±8.06 vs 39.79±11.04 mm, p=0.003). Conversely, the GCL inferior and nasal sectors of the outer circle, the center fovea of the GCL and IPL, and ONL nasal sector of the inner circle showed increased thickness compared to control. (33.43±4.06 vs 30.87±3.65 mm, p=0.001, 38.73±4.01 vs 37.03±4.11 mm, p=0.027, 13.58±5.58 vs 11.82±2.53 mm, p=0.012, 19.37±3.73 vs 18.03±1.94 mm, p=0.006, and 70.47±12.21 vs 65.15±14.43 mm, p=0.030).

 
Conclusions
 

Segmental analysis of the retinal single-layers showed evident structural changes in de novo drug-naïve PD. Future studies are warranted to further characterize the topographic pattern and the degree of retinal single-layer change in early stage PD.

 
×
×

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.

×