Evidence map›Paper›PMID 32013177›Full record

ArticleJournal of clinical medicine2020

Using Whole Breast Ultrasound Tomography to Improve Breast Cancer Risk Assessment: A Novel Risk Factor Based on the Quantitative Tissue Property of Sound Speed.

Neb Duric, Mark Sak, Shaoqi Fan, Ruth M Pfeiffer, Peter J Littrup, Michael S Simon, David H Gorski, Haythem Ali, Kristen S Purrington, Rachel F Brem and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
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

17 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  3. Survey of Deep Learning and Physics-Based Approaches in Computational Wave Imaging.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2025
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  14. 3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed Tomography.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022
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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

12 authors at 6 institutions in 1 country.

Neb DuricBarbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA.
Mark SakDelphinus Medical Technologies, Novi, MI 48374, USA.
Shaoqi FanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Peter J LittrupBarbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA.
Michael S SimonBarbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA.
David H GorskiBarbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA.
Haythem AliHenry Ford Health Systems, Detroit, MI 48202, USA.
Kristen S PurringtonBarbara Ann Karmanos Cancer Institute, Detroit, MI 48201, USA.
Rachel F BremDepartment of Radiology, George Washington University, Washington, DC 20037, USA.
Mark E ShermanMayo Clinic, Jacksonville, FL 32224, USA.
Gretchen L GierachDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Wayne State University · USNational Institutes of Health · USDelphinus Medical Technologies (United States) · USGeorge Washington University · USHenry Ford Health System · USWinnMed · US

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
High-resolution, quantitative whole-breast ultrasound: bridging the gap to clinical practiceR44CA171601 · NCI · DELPHINUS MEDICAL TECHNOLOGIES, INC. · PI LI, CUIPING, ROY, OLIVIER · 2015 to 2016
$991k
NIH HHS Intramural Research ProgramNIH HHS R44CA171601
6 · The paper itself

Abstract

Mammographic percent density (MPD) is an independent risk factor for developing breast cancer, but its inclusion in clinical risk models provides only modest improvements in individualized risk prediction, and MPD is not typically assessed in younger women because of ionizing radiation concerns. Previous studies have shown that tissue sound speed, derived from whole breast ultrasound tomography (UST), a non-ionizing modality, is a potential surrogate marker of breast density, but prior to this study, sound speed has not been directly linked to breast cancer risk. To that end, we explored the relation of sound speed and MPD with breast cancer risk in a case-control study, including 61 cases with recent breast cancer diagnoses and a comparison group of 165 women, frequency matched to cases on age, race, and menopausal status, and with a recent negative mammogram and no personal history of breast cancer. Multivariable odds ratios (ORs) and 95% confidence intervals (CIs) were estimated for the relation of quartiles of MPD and sound speed with breast cancer risk adjusted for matching factors. Elevated MPD was associated with increased breast cancer risk, although the trend did not reach statistical significance (OR per quartile = 1.27, 95% CI: 0.95, 1.70; p

Indexed as

breast neoplasmsmammographic breast densityrisk factorssound speedultrasound tomography

Identifiers

PMID32013177
PMCPMC7074100
OpenAlexW3003658110

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.