SBIR/STTR Research Award

Prehospital Diagnostic Biomarker for Large Vessel Occlusion

Award identifier 491dda9b431ad97f0449cde0167c9f34a3673f67319ba4c3befe2ab1ae818150Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$699,413

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Neural Analytics, Inc.
Proposal award date
2020-07-01
Contract end date
2022-05-31
UEI
ZTWAFG7JB775
Solicitation number
PAR18-548
Topic code
NINDS

Research abstract

Background: The incidence of Large Vessel Acute Ischemic Stroke (AIS) has been estimated to be approximately 250,000 patients per year in the United States and is the leading cause of disability and fifth leading cause of death. Although interventional (stentriever) and pharmaceutical (tPA) treatments exist for large vessel occlusion (LVO), their use is limited due to the short time window from symptom onset that these treatments are indicated to be administered in. Moreover, recent estimates suggest only approximately 10% of eligible patients receive interventional treatment which has shown to lead to better outcomes in several worldwide RCTs. In order for intervention to be successful, a standardized, quantitative, field based (pre- hospital) diagnostic tool is needed to improve LVO identification and ensure rapid transfer to a capable medical facility. Currently, the gold standard for stroke diagnosis is CT angiogram (CTA) which is limited to in-hospital use or a low number of mobile stroke ambulances, all costing multi-millions of dollars, requiring expert operators and IV injection of iodine-rich contrast material. Additionally, the clinical stroke assessment scales (RACE, LAMS, CPSS) used in the field although low cost and non-invasive have proven unreliable due to training requirements and low inherent accuracies, with SEN and SPE ranging in a recent study from 0.50-0.64 and 0.83-0.92, respectively. Project Goals and Broad Specific Aims: Validate a biomarker for LVO assessment which can be measured and displayed with a fully automated, non-invasive, transcranial Doppler (TCD) robotic system with performance at or exceeding 90% ROC–AUC (targeting SEN andamp; SPE greater than 90%) to standard of care imaging. Complete a clinical study where Arm 1 demonstrates technical feasibility of the system in acute stroke settings and Arm 2 demonstrates safety, no detrimental change to standard of care, and collect robust data to submit to the FDA an IFU expansion to drive clinical care using our robotic system and the biomarker. The ultimate and future goal of this work is to use the automated device and validated VCI biomarker in a prehospital setting to show improved clinical outcomes after stroke onset due to improved prehospital triage. This work is critical to first validate the biomarker against gold standard CTA, which must be completed in a hospital, to ultimately be used in the pre-hospital setting. Longterm Objective: CTA will not be replaced in comprehensive stroke centers and we do not aim to use our technology to do this in comprehensive centers with CTA. Instead, our technology will be available in centers without CTA or MRA and ultimately in the prehospital environment. The goal of our company is to show that our lower cost, portable, non invasive technology can be used to measure a valid biomarker of large vessel occlusion that can be performed outside of a comprehensive stroke center. The first step is to validate the biomarker, in a center with CTA as a gold standard, which is the ultimate goal of this work.The incidence of Large Vessel Acute Ischemic Stroke (AIS) has been estimated to be approximately 250,000 patients per year in the United States and is the leading cause of disability and fifth leading cause of death. This work will validate a biomarker for large vessel occlusion (LVO) assessment which can be measured and displayed with a fully automated, non-invasive, transcranial Doppler (TCD) robotic system with performance at or exceeding 90% ROC–AUC (targeting SEN andamp; SPE greater than 90%) to standard of care imaging. The ultimate goal of this work is to use the automated device and validated LVO biomarker in a prehospital setting to show improved clinical outcomes after stroke onset due to improved prehospital triage.

Technology keywords

Not reported

Other awards by this recipient

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Awards with the same topic code

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Research funding history

6 SBIR/STTR records share this UEI (2015–2020). Reported award amounts total $4,955,483. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, National Science Foundation

Agency intelligence

Department of Health and Human Services

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