SBIR/STTR Research Award

A noninvasive method for tissue stiffness quantification in small animals with shear wave elastography

Award identifier c1290ee0263718633d7d0967b82f7b134b28e7d72303be330509ee30cf282aaaAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$255,009

Program and phase

SBIR · Phase I

Award year

2016

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Sonovol, Inc.
Proposal award date
2016-09-20
Contract end date
2018-03-19
UEI
FN33EA27UCB1
Solicitation number
PA17-286
Topic code
NIDDK

Research abstract

Abstract Liver fibrosis a hallmark of many liver diseases affects millions of people in America every year and annually kills tens of thousands of these patients Despite very active research efforts there still have been no specific antifibrotic drugs approved by the FDA The liver disease and drug development communities do not currently have well validated low cost easy to use noninvasive tools for studying liver fibrosis in preclinical rodent models making it challenging to execute high quality longitudinal studies To address this need SonoVol Inc proposes to develop a novel benchtop imaging system capable of providing rapid noninvasive measurements of liver fibrosis in rodents with robotically controlled shear wave elasticity imaging SWEI In SWEI ultrasound pulses are used to generate shear waves in an organ an interest and tissue stiffness can be inferred by monitoring the speed of the travelling waves SWEI technology has been very successful in clinical trials and is starting to be adopted by abdominal radiology clinics around the world as a replacement for liver biopsy While some preclinical SWEI products exist on the market today all of them follow the conventional ultrasound paradigm of data collection a trained sonographer uses a handheld probe and manually selects regions of interest to interrogate with SWEI Making consistent and accurate measurements requires in depth knowledge of probe placement and sonographic technique which academic biologists or drug researchers are unlikely to possess Therefore SonoVol will develop a device capable of fully automated non contact SWEI that eliminates the need for a trained sonographer and will enable large scale adoption of this powerful technology in the preclinical liver diseases research community To validate the new system two different animal models for hepatic fibrosis will be evaluated and the results compared to conventional postmortem assessments of liver fibrosis This technology represents an innovative combination of a widefield D robotic ultrasound imaging system and noninvasive shear wave elastography Furthermore the technology can be applied in the future to many other diseases including cancer or cardiac models increasing the potential market and impact on the field Project Narrative There are many methods currently used by researchers to collect images of preclinical rodent anatomy and internal organ function However these technologies are rarely used by the liver fibrosis research and drug development communities due to their cost or technical complexity We are proposing to build the first automated low cost benchtop noninvasive liver fibrosis measurement tool to be used in rodent research In the future our benchtop imaging product will help reduce the financial burden and increase the pace of preclinical liver disease and drug studies by leveraging lower cost hardware and an automated approach to analyzing tissue stiffness

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

13 SBIR/STTR records share this UEI (2014–2021). Reported award amounts total $12,389,798. 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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