SBIR/STTR Research Award

Liver Surface Nodularity Score as a New Noninvasive Biomarker for Chronic Viral Hepatitis

Award identifier 6048b91c2a938b941a50dedb5b286b8c342f4f373e6ccc5093e02644efea24f5Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$224,851

Program and phase

STTR · Phase I

Award year

2016

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
ImageIQ, Inc.
Proposal award date
2016-07-22
Contract end date
2017-12-31
UEI
Not reported
Solicitation number
PA15-076
Topic code
300

Research abstract

DESCRIPTION provided by applicant Chronic viral hepatitis is clinically silent until development of cirrhosis and hepatic decompensation Decompensated cirrhosis is a precursor to liver failure and is associated with increased risk of severe esophageal bleeding significant cardiovascular events and death The gold standard for diagnosing cirrhosis is liver biopsy though problems with the procedure include the invasive approach sampling errors inability to assess the severity of cirrhosis and complications such as pain bleeding infection and rarely death Furthermore in patients with an initial diagnosis of compensated early stage cirrhosis there are currently no validated noninvasive methods for predicting future hepatic decompensation Therefore there is a need for widely applicable noninvasive methods to diagnose cirrhosis and advanced liver fibrosis and to predict future risk of hepatic decompensation and death We have developed a computer algorithm for measuring the amount of liver surface nodularity on routine computed tomography CT and magnetic resonance MR images We have preliminary data providing evidence that liver surface nodularity is a useful quantitative imaging biomarker that can be used to diagnose and stage cirrhosis and to predict future hepatic decompensation and death Major strengths of the technology include the ability to assess previously acquired liver CT and MR images making it possible to conduct large scale retrospective population studies wide availability and frequent use of CT and MR imaging in cirrhosis rapid processing time andlt min no requirement for intravenous contrast no need for new hardware or special image acquisition procedures and no measurement failures in andgt unique patients While our initial results are compelling further refinement and validation are necessary prior to successful commercialization and clinical implementation of this technology for use by liver specialists This proposal is designed to fill those gaps Project Aim Convert the Liver Surface Nodularity Software into a plugin for a FDA approved image viewer Converting the algorithm into a plugin for OsiriX an open source downloadable viewer will make the algorithm easier to use because of the ability to receive images directly from the clinical PACS make the software easier to distribute and will allow us to pursue the FDA k approval pathway for the plugin Project Aim Assess the accuracy of the liver surface nodularity LSN score for diagnosing cirrhosis and advanced liver fibrosis in patients who underwent CT guided liver biopsy N This aim is intended to extend the applicability of the technology to avoid an invasive liver biopsy Project Aim Establish the necessary team and infrastructure to support a large scale multi institutional study designed to validate LSN score as a new noninvasive biomarker for chronic liver disease Validation of the LSN score as a new noninvasive biomarker to diagnose cirrhosis and advanced liver fibrosis and predict future hepatic decompensation and death will advance the commercialization of this technology ultimately leading to improved care for patients with chronic liver disease PUBLIC HEALTH RELEVANCE Chronic viral hepatitis is clinically silent until development of cirrhosis and hepatic decompensation Decompensated cirrhosis is a precursor to liver failure and is associated with increased risk of severe esophageal bleeding significant cardiovascular events and death The purpose of this proposal is to refine and validate a new noninvasive biomarker to diagnose cirrhosis and advanced liver fibrosis and predict future hepatic decompensation and death in patients with chronic liver disease

Technology keywords

Not reported

Awards with the same topic code

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

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.