Evidence map›Paper›PMID 31548103›Full record

ArticleUltrasound in medicine & biology2019

Large-Strain 3-D in Vivo Breast Ultrasound Strain Elastography Using a Multi-compression Strategy and a Whole-Breast Scanning System.

Yuqi Wang, Matthew Bayer, Jingfeng Jiang, Timothy J Hall

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2019. 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. Lagrangian deformation tracking for strain imaging.Progress in biomedical engineering (Bristol, England) · 2026
    Review
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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

4 authors.

Yuqi WangDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA. Electronic address: wangyuqi1981@gmail.com.
Matthew BayerUltrasound Division, GE Healthcare, Wauwatosa, Wisconsin, USA.
Jingfeng JiangDepartment of Biomedical Engineering, Michigan Technological University, Houghton, Michigan, USA.
Timothy J HallDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA.

Funding

Quantitative Mechanical Imaging for Improving Breast Ultrasound DiagnosisR01CA140271 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI HALL, TIMOTHY J · 2009 to 2013
$3.0M
NCI NIH HHS R01 CA140271
6 · The paper itself

Abstract

Non-linear mechanical properties of breast tissue can be employed to diagnose and differentiate breast tumors. To obtain such non-linear mechanical properties, it is necessary to track tissue motion under large deformation. In this study, a multi-compression strategy was utilized to produce large tissue deformation, and a method to estimate 3-D motion of tissue under large deformation was introduced. Given multiple volumes of ultrasound data, the proposed method first estimates volume-to-volume incremental displacements using a 3-D region-growing motion-tracking method. Then, possible outliers among all incremental displacements are removed to avoid error accumulation. Once large displacement errors have been removed, all incremental displacements are registered together to obtain accumulated displacements under large tissue deformation (e.g., >10%). The proposed method was tested with one set of in vivo tumor-bearing ultrasound data acquired from a human subject. A total of 10 small-strain deformation steps were performed to obtain the final accumulated displacement field, in which the breast lesion and its surrounding were deformed by approximately 6% and 16%, respectively. The contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) of the elasticity images obtained with the proposed method were all higher than those obtained with a 2-D tracking method. Furthermore, in three orthogonal views of accumulated axial strain images, the breast lesion was clearly visible with good correspondence between the axial strain and B-mode images.

Indexed as

BreastBreast NeoplasmsElasticity Imaging TechniquesFemaleFibroadenomaHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalUltrasonography, Mammary3-D strain elastographyLarge deformationMotion trackingMulti-compressionUltrasoundWhole-breast ultrasound

Identifiers

PMID31548103
PMCPMC6823158

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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.