April 2009
Volume 50, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2009
Characterization of Dry and Wet Age-Related Macular Degeneration Using High-Resolution Ultrasound Wavelet Analysis of the Choroid
Author Affiliations & Notes
  • A. A. Khanifar
    Ophthalmology, Weill Cornell Medical College, New York, New York
  • M. J. Rondeau
    F.L. Lizzi Center for Biomedical Engineering, Riverside Research Institute, New York, New York
    The Self-Similar Group, LLC, New York, New York
  • R. H. Silverman
    Ophthalmology, Weill Cornell Medical College, New York, New York
    F.L. Lizzi Center for Biomedical Engineering, Riverside Research Institute, New York, New York
  • H. O. Lloyd
    Ophthalmology, Weill Cornell Medical College, New York, New York
  • R. V. P. Chan
    Ophthalmology, Weill Cornell Medical College, New York, New York
  • D. J. Coleman
    Ophthalmology, Weill Cornell Medical College, New York, New York
    F.L. Lizzi Center for Biomedical Engineering, Riverside Research Institute, New York, New York
  • Footnotes
    Commercial Relationships  A.A. Khanifar, None; M.J. Rondeau, None; R.H. Silverman, None; H.O. Lloyd, None; R.V.P. Chan, None; D.J. Coleman, None.
  • Footnotes
    Support  NIH Grant EB000238 and the Dyson Foundation and the St. Giles Foundation
Investigative Ophthalmology & Visual Science April 2009, Vol.50, 307. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      A. A. Khanifar, M. J. Rondeau, R. H. Silverman, H. O. Lloyd, R. V. P. Chan, D. J. Coleman; Characterization of Dry and Wet Age-Related Macular Degeneration Using High-Resolution Ultrasound Wavelet Analysis of the Choroid. Invest. Ophthalmol. Vis. Sci. 2009;50(13):307.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose: : Choroidal alterations occur in both dry age-related macular degeneration (AMD) and wet AMD. Clinically, these choroidal changes are difficult to detect. Recent advances in optical coherence tomography (OCT) allow imaging of retinal structures in great detail.. However, due to the presence of pigmentation, optical imaging of the choroid has been challenging. High resolution ultrasound can image the choroid. While the choroidal microvasculature cannot be directly resolved ultrasonically, M-band Dual Tree Complex wavelets (M-DTCW) allows for modeling of unresolved scattering elements. Our primary objective is to determine if a significant difference exists in wavelet parameters amongst eyes without AMD compared to eyes with AMD.

Methods: : Patients with AMD and without AMD in an academic retina practice were recruited for fundus photography, OCT, and high-resolution ultrasound. For each eye, M-DTCW analysis was performed. Wavelet coefficients for non-AMD (control), dry AMD, and wet AMD eyes were compared using ANOVA, and wavelet coefficient structures were modeled with Independent Components Analysis (ICA) and classified using a 10X 10-fold cross validation Support Vector Machine (SVM).

Results: : In the 62 eyes of 48 patients studied to date, 16 did not have AMD, 20 had dry AMD, and 26 had wet AMD. The ANOVA analysis on coefficients showed statistically significant differences. Using ICA to find the best independent features and a modern classifier, the SVM, we achieved excellent separation of the three classes with a receiver-operator curve-area under curve (ROC-AUC) value of 0.871.

Conclusions: : Wavelet analysis allows characterization of dry and wet AMD and supplements clinical data. Wavelet parameters have significant classification power and may serve as biomarkers for assessing the severity of AMD. Longitudinal studies will be needed to evaluate whether these parameters can better predict risk of disease progression compared to current methodology.

Keywords: age-related macular degeneration • imaging/image analysis: clinical • choroid: neovascularization 
×
×

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.

×