SBIR/STTR Research Award

Software for OCT Analysis of Vascular Stents

Award identifier a0b82c3d759af94cfd37c4a2effcbf0e033efee05d5bb2b95cd212d148224359Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$2,350,982

Program and phase

SBIR · Phase II

Award year

2019

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
DYAD MEDICAL, INC.
Proposal award date
2019-02-04
Contract end date
2021-01-31
UEI
JCJ8YJYLG1P1
Solicitation number
PA18-574
Topic code
NHLBI

Research abstract

Project Summary. Dyad Medical, Inc. will create intravascular Optical Coherence Tomography (IVOCT) software for clinical, live time determination of stent apposition and for offline analysis of stent implantation. Every year, 100s of thousands of patients in the US are treated with intravascular stents creating an opportunity for both solutions. Although advancements such as drug eluting metal stents hinder restenosis, there remains significant room for improvement. Stent design parameters include drug, material (bioresorbable vs metal), polymer composition, coatings to stimulate cell coverage, etc. To optimize designs, sensitive, in vivo assessments are needed for preclinical and clinical evaluations. IVOCT is the lone imaging modality with the resolution and contrast to meet this challenge. Dyadandapos;s automated software solution promises to drastically cut stent image analysis from 6-16 hrs of manual analysis to less than 2 minutes per single stent, as demonstrated in our Phase I feasibility results. We also demonstrated stent strut detection accuracy andgt;88%, classification accuracy andgt;88%, and stent and vessel areas with accuracy andgt;90%. In addition to faster analysis, we will eliminate inter-analyst variability and errors, which in turn have the potential to significantly improve cliniciansandapos; ability to accurately assess and interpret stent position and integrity in real time. Cardiology analysts will be able to provide instant feedback to physicians, presenting the number and location of malapposed struts in 3D, empowering their decision making on the need for additional dilatation with a larger balloon or higher pressure, or whether patient needs to stay on anti-platelet regimen or be taken off in order to minimize bleeding risk. For purposes of research, clinical trials or stent design development, our software will improve reproducibility, increase accuracy, and harmonize analysis. In this follow on Phase II study, we will develop enhanced algorithms, optimize software usability, develop and test several user interfaces (UIs) in collaboration with the Core Lab at the University Hospitals. We will test and validate the functionality and performance of software using image data sets from multiple sources, increasing robustness of our approach. Phase II will enable us to develop a highly functional and usable software ready for commercial deployment. It will facilitate the use of our software in the clinic as part of an initial trial in the cath lab.Project Narrative. Dyad Medical will develop software tool for rapid, automated in vivo assessment of intravascular stents, currently the treatment of choice for 100s of thousands of patients, suffering from ischemic heart disease, in the US each year. Our methods will enable optimization of stent technologies and improved deployment of stents for improved treatment of vascular disease.

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

3 SBIR/STTR records share this UEI (2017–2023). Reported award amounts total $2,864,326. 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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