SBIR/STTR Research Award

Toward a screening designation for SoftVue: A multi-center clinical trial in support of Pre-Market Approval.

Award identifier 88dba1a66956fea2883520fe9bc9da493f7bbacf87152fa52021b5192dd6f16fAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$2,805,141

Program and phase

SBIR · Phase II

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
Delphinus Medical Technologies, Inc
Proposal award date
2016-04-28
Contract end date
2019-03-31
UEI
CHTMBNQN8EV5
Solicitation number
CA15-010
Topic code
102

Research abstract

DESCRIPTIONprovided by applicantRecent studies have demonstrated the effectiveness of hand held ultrasound imaging in detecting breast cancerparticularly for women with dense breastsThe latest reports have shown the potential to screen for small breast masses otherwise missed by mammography with up toextra cancers detected perscreensA striking aspect of the added detections is that they are predominantly node negative invasive cancers which would have progressed to a later stage before possible mammographic detectionDespite these successeshandheld ultrasound is unlikely to be adopted for screening because it is operator dependentand its imaging aperture is smallwhich hinders whole breast imagingTo that endautomated breast ultrasoundABUShas been introduced as a way of overcoming these issuesmainly by reducing operator dependence and increasing the field of viewUnfortunately adoption of ultrasound screening has been slowOne major reason is that ABUS screening increases call back ratesup to a factor ofin case of the SomoInsight studyWith its basic B mode capabilityit is unlikely that ABUS will be widely adopted for primary screening in the foreseeable future without more tissue specific imaging capabilityImproved lesion characterization would help lower the barriers to adoption of screening ultrasoundOur recently completed Fast Track grant demonstrated improved lesion characterization through tissue specific imaging in a diagnostic settingThese results suggest that improved specificity may therefore be realized in a screening settingpaving the way for screening trials as a natural extension of the activities under the parent grantThe objective of this studythereforeis to characterize SoftVue s screening performance in the general population of women with dense breastsThe central hypothesis is that the area under the Receiver Operating CharacteristicROCcurve is increased when digital mammography and SoftVue are used together versus mammography aloneThe hypothesis will be tested by carrying out a multi center clinical trial ofasymptomatic women having breast density categories of c and dThe trial will consist of a data collection phase atsites across the USfollowed by a pivotal reader study utilizing rtreadersThe expected outcome of the study is an increase in the detection of invasive cancers compared to mammography and a reduction in call back rates compared to current ultrasoundThe rationale for the proposed study is that a successful trial outcome will lead to FDA per Market Approval which would enable Delphinus to market SoftVue for supplemental screeningThe following specific aims will guide our study

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

6 SBIR/STTR records share this UEI (2012–2016). Reported award amounts total $5,983,706. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

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.