SBIR/STTR Research Award

vascuCAP: Non-invasive Computer-Aided Phenotyping of Vasculopathy

Award identifier a57cdff2974eb03702da5ba8c4ef45e9ef6e4900c7d065979f6ca5dac388107cAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,581,871

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2015

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Elucid Bioimaging Inc.
Proposal award date
2015-09-01
Contract end date
2017-06-30
UEI
PZ2NKG7RC7A7
Solicitation number
PAR14-088
Topic code
NHLBI

Research abstract

DESCRIPTION provided by applicant Vasculopathy encompasses a group of vascular diseases which includes atherosclerosis a major disease with enormous societal impact Atherosclerosis is implicated in many cardiovascular diseases including myocardial infarction peripheral vascular disease and stroke Approaches have been proposed for improving diagnostics where inconclusive or misleading information can lead to under and over treatment Additionally better biomarkers are needed for use in developing more effective drugs for vasculopathies Arterial stenosis as a biomarker is a poor predictor of events yet it remains in common use This burdens care providers with high misclassification rates Detection of the so called andquot vulnerableandquot plaque has demonstrated promise but it is not without controversy and may be unlikely to achieve widespread adoption because it still relies on detecting one or a handful of andquot surrogateandquot features that are based on limited autopsy studies Elucid Bioimagingandapos s vascuCAP CAP stands for Computer Aided Phenotyping processes magnetic resonance imaging MRI and or computed tomography CT both of which are routinely used in vascular diagnostics CAP aids the clinician with a multi factorial quantitative imaging biomarker panel of specific biologically objective and continuous valued measurements such as distribution of lipid core and other determinants of lesion phenotype and severity Recognizing the pros and cons of different imaging modalities with respect to any given patientandapos s needs vascuCAP is developed as a multi modality analysis capability that maximizes the information content from whatever modality is available for that patient whether CT which is fast and generally leads to the most accurate measurements of structure but which utilizes ionizing radiation or MR which is currently most capable of measuring composition avoids ionizing radiation but takes more time to acquire Our primary goal is to improve patient management by aiding therapeutic decision making for both symptomatic and asymptomatic patients by combining the vascuCAP analysis of vascular imaging with the other objective patient data i e clinical chemistry and other blood biomarkers It may also be used to improve speed and efficiency in developing new therapeutics We have recently completed feasibility studies in both animal models as well as human atherosclerosis that serve as the scientific rationale for the proposed study This Phase II study will determine the MRI and CT characteristics of atherosclerotic plaques and compare them to reference truth standards including histopathological analyses of arterial endarterectomy specimens We have established probable clinical utility in animal models as well as in human studies This Phase II SBIR study will determine the degree to which vascuCAP analysis results obtained in larger numbers of carotid and peripheral arteries are similar to those obtained on ex vivo histology and whether relevant reference measurements in the coronary arteries are in accordance with prior feasibility studies PUBLIC HEALTH RELEVANCE This study will validate imaging characteristics of atherosclerotic plaques measured by our computerized image analysis product vascuCAP using reference truth standards to characterize performance Successful completion will establish vascuCAP as fit for use in both personalized medicine as well as drug development

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

2 SBIR/STTR records share this UEI (2015–2019). Reported award amounts total $4,568,969. Reported amounts are not federal obligations.

Phases: Phase II – Direct to Phase II, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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