Evidence map›Paper›PMID 33015618›Full record

ArticleJournal of breast imaging

Whole Breast Sound Speed Measurement from US Tomography Correlates Strongly with Volumetric Breast Density from Mammography.

Mark Sak, Peter Littrup, Rachel Brem, Neb Duric

Abstract read
In one paragraph

Article in Journal of breast imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mark SakDelphinus Medical Technologies, Inc, Novi, MI.
Peter LittrupDelphinus Medical Technologies, Inc, Novi, MI.
Rachel BremGeorge Washington University, Department of Radiology, Washington, DC.
Neb DuricDelphinus Medical Technologies, Inc, Novi, MI.ORCID 0000-0001-6388-6863

Funding

Transitioning the SoftVue Breast Scanner to the clinical marketplaceR44CA165320 · NCI · DELPHINUS MEDICAL TECHNOLOGIES, INC. · PI DURIC, NEBOJSA · 2012 to 2018
$3.8M
NCI NIH HHS R44 CA165320
6 · The paper itself

Abstract

objectiveTo assess the feasibility of using tissue sound speed as a quantitative marker of breast density.

methodsThis study was carried out under an Institutional Review Board-approved protocol (written consent required). Imaging data were selected retrospectively based on the availability of US tomography (UST) exams, screening mammograms with volumetric breast density data, patient age of 18 to 80 years, and weight less than 300 lbs. Sound speed images from the UST exams were used to measure the volume of dense tissue, the volume averaged sound speed (VASS), and the percent of high sound speed tissue (PHSST). The mammographic breast density and volume of dense tissue were estimated with three-dimensional (3D) software. Differences in volumes were assessed with paired t-tests. Spearman correlation coefficients were calculated to determine the strength of the correlations between the mammographic and UST assessments of breast density.

resultsA total of 100 UST and 3D mammographic data sets met the selection criteria. The resulting measurements showed that UST measured a more than 2-fold larger volume of dense tissue compared to mammography. The differences were statistically significant (

conclusionThe strong correlations between UST parameters and 3D mammographic BD suggest that breast sound speed should be further studied as a potential new marker for inclusion in clinical risk models.

Indexed as

breast cancer riskbreast densitysound speedUS tomography

Identifiers

PMID33015618
PMCPMC7513589

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.