June 2017
Volume 58, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2017
Do subretinal drusenoid deposits have a spectral fingerprint?
Author Affiliations & Notes
  • Yuhua Zhang
    Ophthalmology, Univ of Alabama at Birmingham, Birmingham, Alabama, United States
  • Xiaolin Wang
    Ophthalmology, Univ of Alabama at Birmingham, Birmingham, Alabama, United States
  • Boyu Gu
    Ophthalmology, Univ of Alabama at Birmingham, Birmingham, Alabama, United States
  • Mark E. Clark
    Ophthalmology, Univ of Alabama at Birmingham, Birmingham, Alabama, United States
  • C. Douglas Witherspoon
    Ophthalmology, Univ of Alabama at Birmingham, Birmingham, Alabama, United States
  • Gerald McGwin Jr.
    Ophthalmology, Univ of Alabama at Birmingham, Birmingham, Alabama, United States
    Epidemiology, Univ of Alabama at Birmingham , Birmingham, Alabama, United States
  • Cynthia Owsley
    Ophthalmology, Univ of Alabama at Birmingham, Birmingham, Alabama, United States
  • Christine Curcio
    Ophthalmology, Univ of Alabama at Birmingham, Birmingham, Alabama, United States
  • Footnotes
    Commercial Relationships   Yuhua Zhang, None; Xiaolin Wang, None; Boyu Gu, None; Mark Clark, None; C. Douglas Witherspoon, None; Gerald McGwin Jr., None; Cynthia Owsley, None; Christine Curcio, Genentech (C), Janssen Cell Therapy (C), Merck (C), Novartis (C)
  • Footnotes
    Support  EY024378, AG04212, EY06109, and institutional support from Research to Prevent Blindness, EyeSight Foundation of Alabama, Buck Trust of Alabama, the Dorsett Davis Discovery Fund, the Alfreda J. Schueler Trust, and NIH P30 EY003039.
Investigative Ophthalmology & Visual Science June 2017, Vol.58, 305. doi:
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      Yuhua Zhang, Xiaolin Wang, Boyu Gu, Mark E. Clark, C. Douglas Witherspoon, Gerald McGwin Jr., Cynthia Owsley, Christine Curcio; Do subretinal drusenoid deposits have a spectral fingerprint?. Invest. Ophthalmol. Vis. Sci. 2017;58(8):305.

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

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Abstract

Purpose : Retinal imaging using near-infrared (NIR) reflectance at wavelength ~820 nm provides high sensitivity for detecting subretinal drusenoid deposits (SDD), also called pseudodrusen. We imaged well-characterized SDD with lights of different wavelengths in the NIR region, using high-resolution multi-spectral adaptive optics scanning laser ophthalmoscopy (AOSLO).

Methods : The AOSLO was equipped with a supercontinuum laser (NKT Photonics A/S, Denmark) that provides imaging lights over a spectral range of 650 – 1200 nm. An acousto-optical tunable filter was used to tune a single wavelength for spectral imaging. AOSLO was used to image the macula of a patient with age-related macular degeneration at 8 wavelengths (680 nm, 700 nm, 720 nm, 750 nm, 780 nm, 800 nm, 820 nm, and 840 nm). The progression stage of each individual lesion has been characterized yearly over a 5-year follow-up by multimodal imaging, using a 3-stage grading system for spectral domain coherence tomography. At the last visit, individual SDD lesions were examined by AOSLO to evaluate variations in reflectivity with different spectral light. A normalized spectral reflectivity of individual lesions was defined by the ratio of reflectivity in the lesion core to reflectivity in nearby photoreceptor mosaic that was undisturbed by SDD. Twenty-two stage 3 SDD were measured.

Results : High resolution AOSLO images acquired at different wavelengths allowed SDD spectral reflectivity assessed at individual lesion level. Data from the subject indicate SDD reflectivity in the NIR (680 - 840 nm) region may vary with wavelength, with greater reflectivity at 720 nm and 820 nm (Figure 1). However, due to small sample size, variability is large.

Conclusions : We demonstrate that AOSLO multi-spectral imaging can be used to characterize the spectral reflectivity of SDD, with the goal of generating a spectral fingerprint of SDD in the NIR region. Ongoing research will investigate more lesions in more subjects. This approach, if extended to longer wavelengths and combined with histology and mass spectrometry of donor eye samples, may enable the molecular bases of SDD to be studied in vivo.

This is an abstract that was submitted for the 2017 ARVO Annual Meeting, held in Baltimore, MD, May 7-11, 2017.

 

Figure 1 SDD spectral reflectivity assessed by multi-spectral AOSLO. The error bars indicate ±1 standard deviation.

Figure 1 SDD spectral reflectivity assessed by multi-spectral AOSLO. The error bars indicate ±1 standard deviation.

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