June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Novel Lens Correction Method in Flavoprotein Fluorescence Imaging
Author Affiliations & Notes
  • Justin Muste
    Center for Ophthalmic Bioinformatics, Cleveland Clinic, Cleveland, Ohio, United States
  • Matthew Russell
    Center for Ophthalmic Bioinformatics, Cleveland Clinic, Cleveland, Ohio, United States
    Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, United States
  • Collin Rich
    OcuSciences Inc, Michigan, United States
  • Kurt Riegger
    OcuSciences Inc, Michigan, United States
  • Rishi P Singh
    Center for Ophthalmic Bioinformatics, Cleveland Clinic, Cleveland, Ohio, United States
    Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, United States
  • Footnotes
    Commercial Relationships   Justin Muste None; Matthew Russell None; Collin Rich OcuSciences, Code E (Employment); Kurt Riegger OcuSciences, Code E (Employment); Rishi Singh Apellis, Code F (Financial Support), Graybug, Code F (Financial Support), Genentech/Roche, Code I (Personal Financial Interest), Alcon/Novartis, Code I (Personal Financial Interest), Zeiss, Code I (Personal Financial Interest), Bausch and Lomb, Code I (Personal Financial Interest), Regeneron, Code I (Personal Financial Interest)
  • Footnotes
    Support  This study was supported in part by the NIH-NEI P30 Core Grant (IP30EY025585), Unrestricted Grants from The Research to Prevent Blindness, Inc., and Cleveland Eye Bank Foundation awarded to the Cole Eye Institute
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 219 – F0066. doi:
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    • Get Citation

      Justin Muste, Matthew Russell, Collin Rich, Kurt Riegger, Rishi P Singh; Novel Lens Correction Method in Flavoprotein Fluorescence Imaging. Invest. Ophthalmol. Vis. Sci. 2022;63(7):219 – F0066.

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

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Abstract

Purpose : Flavoprotein fluorescence (FPF) imaging provides a readout of retinal oxidative stress by quantifying natural autofluorescence of oxidized retinal mitochondrial flavoproteins (535 nm) after blue light excitation (467 nm). Natural fluorophores in a patient’s lens get brighter with oxidative stress and so may confound the desired retinal FPF signal, resulting in a combined lens and retinal fluorescence signal that elevates the FPF score. At the same time, natural lens aging can attenuate the signal. The purpose of this study was to generate and evaluate a lens correction algorithm (LCA) for use with FPF imaging.

Methods : Lens fluorescence and transmission were accounted for in a two-step process. First, interpolation was used to generate an estimate of lens fluorescence and isolate the retinal component. Second, after an adjustment for instrument calibration, natural lens attenuation was compensated using a third-order model. The efficacy of the LCA was assessed in 544 images of healthy control patients with no ocular pathology from different databases obtained automatically generated by Ocumet ® Image Analysis software at the time of patient presentation. A case study is also presented of a patient with images before and after cataract surgery, highlighting clinical relevance of this application.

Results : After the LCA was applied the raw FPF scores of 554 images, the slope of best fit was attenuated (m= 1.4556 vs m= 0.0584) suggesting the correction algorithm was successful in accounting for native lens autofluorescence. Signals clustered tightly around line of best fit before and after compensation. A positive age-dependent relationship was maintained, although largely adjusted for (R2= 0.7012 vs 0.0185). After adjustment, FPF intensity scores displayed similar strength positive relationships with age when compared to patients with intraocular lens implants (IOL), which display minimal fluorescence (R2= 0.0165 vs 0.0193).

Conclusions : The LCA reduced the effects of the aging lens and addressed an important confounder in measuring retinal FPF. Future work may test this algorithm on a large cohort of cataract patients after phacoemulsification and IOL implantation to confirm the FPF signal changes from aging lens fluorescence contribution

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

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