Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Using VR to quantify visual ability in ultra-low vision
Author Affiliations & Notes
  • Gislin Dagnelie
    Ophthalmology, Johns Hopkins University, Baltimore, Maryland, United States
  • Footnotes
    Commercial Relationships   Gislin Dagnelie Ray Therapeutics, Code C (Consultant/Contractor), Johns Hopkinis Technology Ventures, Code P (Patent)
  • Footnotes
    Support  R01 EY028452; Research to Prevent Blindness
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 2822. doi:
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    • Get Citation

      Gislin Dagnelie; Using VR to quantify visual ability in ultra-low vision. Invest. Ophthalmol. Vis. Sci. 2024;65(7):2822.

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

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Abstract

Presentation Description : Over the last few years, patients with end-stage vision loss (ultra-low vision; ULV: VA ≥ 1.9 logMAR) have increasingly become involved in clinical trials for vision restoration, but there has been a lack of appropriate outcome measures to quantify functional visual ability at baseline and during follow-up. Many of these trials involve small patient numbers at multiple, sometimes international, centers, prompting a need for these measures to be uniform and easily reproducible. A patient-reported outcomes (PRO) for this patient group has been available since 2017 (ULV-VFQ; TVST), but PROs alone are not considered suitable as primary outcome measures by regulatory bodies. For these reasons, over the last 6 years, our lab has developed Wilmer VR, a suite of performance measures based on the items of the ULV-VFQ and covering three visual domains: visual information gathering (Wilmer VRI), visually guided object handling (Wilmer VRH), and visually guided wayfinding (Wilmer VRH). Each module spans a wide difficulty range and has been psychometrically calibrated. The ULV-VFQ and Wilmer VR suite are available for licensing, at no cost to academic institutions, and for a fee to commercial users.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

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