SBIR/STTR Research Award

An interactive patient specific virtual surgical planning system for upper airway obstruction treatments

Award identifier bd5d1effea2bfb8934876728049decb74ec4e70fec6e396e0b83ead0d5ad5f63Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$225,000

Program and phase

SBIR · Phase I

Award year

2017

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
KITWARE INC
Proposal award date
2017-09-01
Contract end date
2019-08-31
UEI
DK6LPWMS5LP5
Solicitation number
PA15-269
Topic code
NIBIB

Research abstract

Abstract Surgery is a common mode of treatment for conditions such as septal deviation turbinate hypertrophy sleep apnea and tracheal stenosis resulting from upper airway obstruction Current diagnosis and the subsequent decision making of these pathologies primarily rely on the clinical examination and objective measures such as acoustic rhinometry and rhinomanometry that do not correlate well with patient symptoms The lack of dependable objective measures has resulted in improper procedural prescriptions and less accurate surgical corrections Therefore providing the surgeons with reliable patient specific objective measures to a assist in choosing the appropriate surgical procedure b predict and quantify the outcome of a particular or a combination of surgical procedures is essential In this project we propose to develop an integrated surgical planning system for upper airway obstruction treatment We aim to maximize the surgical success rate through informed decision making achieved using an interactive surgical planning system that can provide quantitative physical metrics based on accurate air flow simulations This project is a close collaboration between Kitware Inc Medical College of Wisconsin MCW and University of North Carolina UNC The co investigators from MCW and UNC have developed computational fluid dynamics CFD simulations in D models constructed from CT scans that emulate resting inspiratory airflow in the nasal cavity They have showed that several biophysical metrics computed from CFD models correlated well with subjective measures of symptoms before and after surgery In a separate project a team at Kitware has spearheaded the development of Virtual Pediatric Airway Workbench VPAW a software program that provides a complete pipeline to support surgical planning for treatment for commonly occurring upper airway problems in young children starting with CT scans In this project we propose to combine the expertise of teams from MCW UNC and Kitware to extend VPAW to develop a fully functional patient specific geometrical and simulation based surgical planning system for upper airway obstruction treatment using nasal airway obstruction NAO surgical treatment as a proof of concept The specific aims of the proposed project are a Extend VPAW for surgical planning of other upper airway obstruction treatment and b Evaluate the extended VPAW surgical planning system by comparing the CFD metrics resulting from virtual surgery with post surgical flow simulation metrics in actual patients to assess potential equivalency of the models The successful completion of this work will result in a proof of concept surgical planning system thus paving the way for further developments and clinical studies during Phase II Project Narrative Surgery is a common mode of treatment for conditions such as septal deviation turbinate hypertrophy sleep apnea and tracheal stenosis resulting from upper airway obstruction Current surgical procedures lack dependable objective measures resulting in improper procedural prescriptions and surgical corrections with low long term success rate In this project we aim to maximize the surgical success rate through informed decision making achieved using an interactive surgical planning system that can provide quantitative physical metrics based on accurate air flow simulations

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

243 SBIR/STTR records share this UEI (1998–2025). Reported award amounts total $140,194,302. Reported amounts are not federal obligations.

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

Agencies: Department of Defense, Department of Health and Human Services, Department of Energy, National Science Foundation, National Aeronautics and Space Administration, Department of Commerce

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.