Vivid Vision Perimetry Mobile home visual field testing for glaucoma

Vivid Vision Inc., 525 York St., San Francisco, CA

James Blaha, CEO

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Vivid Vision is a venture backed startup

• Vivid Vision is a 5-year-old virtual reality software company.

• Beach-head product: Binocular vision testing and treatment• Convergence insufficiency, stereo-depth deficits, amblyopia, orthoptics

• 300 clinics world-wide

• Vivid Vision Perimetry• In tests at UCSF, SUNY College of Optometry, and other academic centers

• Project release scheduled for this year

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Perimetry Leadership Team

Mitch Dul, ODSUNY College Optometry

Yvonne Ou, MDUCSF Ophthalmology

Bertil Damato, MD, PhDU Cambridge Ophthalmology

Michael Deiner, PhD

UCSF Ophthalmology

Manish GuptaCTO, Founder

James BlahaCEO, Founder

Brian Dornbos, ODDir. Optometry

Tuan Tran, ODChief Optom.

Benjamin Backus, PhDCSO; Emeritus SUNY Optometry

Joel Schuman, MDNYU Ophthalmology

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Patients want to help but VF tests are hard.

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Two propositions for at-home testing

1. Patients don’t have distress because they miss targets, but because it’s hard to be a good test-taker.

2. There is no way to estimate 54 thresholds accurately in 7 minutes. In a lab study, 30 or more stimuli per location, which would take an hour.

VF test quality is largely a function of testing time: more data is better.

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$ Low cost $

Physical comfort

New psychophysical

task

10x-20x increase in data

Gaming

AI

VVP uses a 5-pronged approach to home testing

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Eye tracking in VR using FoveTM VR headset

Very first Pt, first time using VR for anything, everDecember 2017

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The effect of very high frequency testing

Even with only moderate test compliance, a rapid visual field loss of 2 dB in mean deviation (MD) per year can be detected after 0.9 years of weekly testing at home, as compared to 2.5 years for semiannual testing in the clinic.

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0 0.5 1 1.50 0.5 1 1.5 0 0.5 1 1.5

2 SAP/yr 4 SAP/yr VVP-10

MD

(d

B)

rate=1, σ =1

Time (years)

Why is frequent testing so effective?Monte Carlo simulation results

pr = 2 dB/year, SD = 2

1 2 3

Time (years)

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Pow

er

(α =

.0

5)

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Monte Carlo

simulation:

Power to

detect

progression

VVP-10

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VVP-10 vs HVFA VVP-10 vs VVP-10 HVFA vs HVFA

● For N=55 patients (44 glau, 8 suspect, 3 healthy): 47 succeeded taking VVP in the clinic● Example: 52-year old male with moderate glaucoma (Pt of Yvonne Ou, UCSF)

○ 30 sessions (26 at home), March-August 2019○ Prototype (single-intensity) version of VVP using 24-2 test pattern

Plan for growth

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2016 2017 2018 2019 2020 2021 2022 2023 2024 2025

Log

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Binocular vision

Perimetry