May 2003
Volume 44, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2003
Color Doppler Imaging in Primary Open Angle Glaucoma and Normal subjects
Author Affiliations & Notes
  • A.G. Boehm
    Department of Ophthalmology, University of Dresden, Dresden, Germany
  • C. Bowd
    Hamilton Glaucoma Center and Department of Ophthalmology, University of California San Diego, La Jolla, CA, United States
  • L.E. Pillunat
    Hamilton Glaucoma Center and Department of Ophthalmology, University of California San Diego, La Jolla, CA, United States
  • R.N. Weinreb
    Hamilton Glaucoma Center and Department of Ophthalmology, University of California San Diego, La Jolla, CA, United States
  • Footnotes
    Commercial Relationships  A.G. Boehm, None; C. Bowd, None; L.E. Pillunat, None; R.N. Weinreb, None.
Investigative Ophthalmology & Visual Science May 2003, Vol.44, 141. doi:
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    • Get Citation

      A.G. Boehm, C. Bowd, L.E. Pillunat, R.N. Weinreb; Color Doppler Imaging in Primary Open Angle Glaucoma and Normal subjects . Invest. Ophthalmol. Vis. Sci. 2003;44(13):141.

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

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Abstract

Abstract: : Purpose: To assess whether there are differences between normal subjects and primary open angle glaucoma patients (POAG) with regards to their ocular hemodynamics measured by Color Doppler Imaging (CDI). Methods: One randomly selected eye of 20 patients with POAG (age: 66.2±7.4y) and of 20 normal subjects (age: 59.3±13.3y) was examined (age difference: p=0.052). The POAG patients had repeatable visual field loss by Humphrey visual field 24-2. CDI retrobulbar blood velocities were measured at the central retinal artery (CRA), and the temporal and nasal short posterior ciliary arteries (TSPCA, NSPCA). Perfusion parameters were peak systolic velocity (PSV), end diastolic velocity (EDV), and resistance index (RI). Students t-test was used to evaluate the differences between the groups. In addition a univariate linear regression analysis correcting for age, systolic blood pressure, diastolic blood pressure, heart rate and IOP measured by applanation tonometry was conducted. The Sidak correction was used to correct alpha for multiple comparisons. Results: At the CRA RI was .725±.085 in normals and .799±.067 in POAG (p=.004), PSV.132±.0379 and .106±.023 (p=.013), and EDV .038±.019 and .022±.011(p=.003), respectively. At the TSPCA RI was .668±.091 in normals and .728±.085 in POAG (p=.039), PSV.073±.020 and .070±.019 (p=.264), and EDV .024±.009 and .018±.007 (p=.022), respectively. At the NSPCA RI was .680±.095 in normals and .708±.059 in POAG (p=.287), PSV.077±.024 and .075±.025 (p=.849), and EDV .025±.014 and .022±.011 (p=.308), respectively. Using univariate linear regression analysis correcting for age, systolic blood pressure, diastolic blood pressure, heart rate and IOP there were no statistically significant differences between the 2 groups (p>0.05). In the statistical models age was correlated with RI (R2=.06; p=.000) and EDV (R2=.002; p=.003) at the CRA, RI (R2=.05; p=.015) at the TSPCA, and with RI (R2=.03; p=.04) and EDV(R2=.0005; p=.047) at the NSPCA. Systolic Blood pressure was correlated with RI (R2=0.04, p=.03) at the TSPCA. Heart rate was correlated with PSV (R2=0.003; p=.03) at the NSPCA. No other were statistically significant (p>.05). Conclusion: There were no differences in perfusion parameters between the normal and POAG eyes that could be explained by the disease. Small correlations were found between the measured perfusion parameters and age. For the evaluation of CDI measurements age should be considered.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, S • blood supply • optic disc 
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