SBIR/STTR Research Award

Screening Device for Diabetic Retinopathy

Award identifier 3b76cfa6f162fd6b7ed4c7392125fea8f92e13a5940872d2553543db8a9a005aAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,127,500

Program and phase

SBIR · Phase II

Award year

2010

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
LKC TECHNOLOGIES, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
HLUEBPPQSJN9
Solicitation number
PHS2010-2
Topic code
NEI

Research abstract

DESCRIPTION (provided by applicant): The aim of this proposal is to develop an inexpensive, handheld device that can be used by primary caregivers (such as general practitioners, internists, and endocrinologists) and in screening settings to reliably screen at-risk diabetics for retinopathy and provide immediate results. This device has the potential to save the sight of thousands of diabetics who have undetected diabetic retinopathy by identifying their condition and allowing timely referral to an ophthalmologist for evaluation and treatment. The device works by measuring the implicit time of the 30 Hz flicker electroretinogram, which has been repeatedly shown to correlate well with severity of diabetic retinopathy. Because the device measures implicit time, it will record from skin electrodes placed near the eye. The device will automatically detect good electrode contact. Pupil size will be automatically measured and the light intensity will be adjusted to provide an optimal retinal stimulus. Proven algorithms will be used to measure the implicit time from the elicited waveform, and the results will be displayed to the caregiver along with an estimate of the reliability of the measurement. LKC Technologies already possesses most of the technologies necessary to develop this device, notably compact low noise, saturation-resistant digital patient amplifiers, sophisticated circuitry for controlling the light output of LEDs, and proven analysis algorithms. In Phase I, a proof-of-principle prototype was developed by modifying an LKC UTAS visual electrophysiology system with an off-the shelf pupillometer and custom software. Data were recorded to assess the robustness of the algorithms for measuring signal quality and extracting implicit time and to determine optimal stimulus parameters. In Phase II, a complete handheld prototype instrument will be constructed, and data will be collected from a large population of diabetics in a screening environment to demonstrate the effectiveness of the device. An additional study will recruit patients with varying levels of diabetic retinopathy to evaluate the usefulness of the device over a wide range of retinopathy. PUBLIC HEALTH RELEVANCE: Relevance Twenty-four million people in the United States suffer from diabetes; five million of them have some degree of diabetic retinopathy - the leading cause of blindness in working-age adults. Although 493 million is expended annually for healthcare related to diabetic retinopathy, another 18,000 people in the United States will go blind this year from the disease. Many diabetics do not know that they have diabetic retinopathy because there is no quick, easy, inexpensive, and widely available screening method. This project proposes to develop a compact, easy-to-use, cost-effective device that would allow diabetics at risk for retinopathy to be evaluated quickly and inexpensively in primary care or screening environments and referred for treatment to preserve their sight.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

7 SBIR/STTR records share this UEI (1983–2010). Reported award amounts total $2,401,871. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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