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Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- Imbio, LLC
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- FNB6YYCELKU5
- Solicitation number
- PA12-088
- Topic code
- NHLBI
Research abstract
DESCRIPTION (provided by applicant): Chronic obstructive pulmonary disease (COPD) is a highly and increasingly prevalent disorder characterized by incomplete reversible airflow limitations. It is presently the third leading cause of death in the US, with over 13 million peopl suffering from the disease. Pulmonary function tests are used to identify global lung function impairment; however, determining the specific cause of decreased lung function is necessary in order to choose the best treatment strategy.We have recently developed the Parametric Response Map (PRM) as a CT-based imaging biomarker capable of diagnosing the two major phenotypes in COPD: functional small airways disease (fSAD) and emphysema. This diagnostic biomarker is a game-changer for radiological and pulmonary medicine practice, but in order for its impact to be fully realized, a commercial, FDA-approved diagnostic analysis and reporting software application must be developed. We propose to develop PRM as a CT-imaging biomarker for assessment and diagnosis of COPD phenotypes and for visualizing detailed spatial information related to disease location. The goals of this proposal will focus on development of a commercial PRM diagnostic software application, including its validation as a surrogate marker of patient health status, using images and patient information obtained from the NIH-sponsored clinical trial COPDGene. First, the PRM algorithm will be developed into a commercially viable software package. After validating the output of eachindividual component of the commercial PRM software against the in-house analysis of the inventors of PRM at the University of Michigan, the complete PRM analysis of 194 patients by the new software will be compared to previously published results to confirm that the commercial software gives accurate PRM results. Then the CT images from 500 patients will be analyzed to optimize the input parameters of the PRM analysis to ensure that the PRM results accurately predict COPD progression. Overall, it is anticipated that the successful outcome of this effort will significanty improve the diagnostic capability of CT imaging for COPD, leading to improved patient care and a reduction in cost to the healthcare system. PUBLIC HEALTH RELEVANCE PUBLIC HEALTHRELEVANCE: This proposal will develop a commercial software package that performs a Parametric Response Map analysis on CT images of patients with chronic obstructive pulmonary disease (COPD), presently the third leading cause of death in the US, in orderto give physicians a more detailed description of the underlying cause of COPD for that patient. The successful outcome of this effort will give physicians greater insight into which course of treatment is appropriate for each individual patient, leadingto improved patient care and a reduction in cost to the healthcare system.
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
14 SBIR/STTR records share this UEI (2013–2022). Reported award amounts total $10,686,328. 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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