Evidence map›Paper›PMID 42807376›Full record

ArticleProceedings of the ... IEEE International Symposium on Applications of Ferroelectrics. IEEE International Symposium on Applications of Ferroelectrics2024

A Novel Method for Ultrasound Attenuation Imaging Based on Mechanical Reciprocity and Acoustic Radiation Force.

Fan Feng, Siladitya Khan, Stephen McAleavey

Abstract read
In one paragraph

Article in Proceedings of the ... IEEE International Symposium on Applications of Ferroelectrics. IEEE International Symposium on Applications of Ferroelectrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Fan FengDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.
Siladitya KhanDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.
Stephen McAleaveyDepartment of Biomedical Engineering, University of Rochester, Rochester, New York, USA.

Funding

Shear Wave Reciprocity for Breast ImagingR21EB034769 · NIBIB · UNIVERSITY OF ROCHESTER · PI MCALEAVEY, STEPHEN A · 2023 to 2024
$424k
NIBIB NIH HHS R21 EB034769
6 · The paper itself

Abstract

We demonstrate a novel method employing the principle of mechanical reciprocity to image the relative ultrasound attenuation. In this approach, which we call shearwave reciprocity imaging (SRI), acoustic radiation force is used to push on the medium at one location while displacement is tracked at a second location. The push and track locations are then transposed. Differences in the measured displacements reveal differences in acoustic radiation force due to differences in attenuation. In contrast to shear wave elastography, the use of mechanical reciprocity ensures that this approach provides attenuation images independent of tissue elasticity. Imaging was performed with a Verasonics Vantage 64 LE system and ATL L7-4 linear array on tissue-mimicking phantoms of gelatin and Zerdine containing lesions of enhanced attenuation. We demonstrate imaging of the increased attenuation of the inclusions relative to background, independent of their elastic modulus. These attenuation measurements are complimentary to elastogram and B-mode data and provide an additional source of image contrast for lesion characterization.

Indexed as

acoustic radiation forceattenuation coefficientshear wavetissue biomarker

Identifiers

PMID42807376
PMCPMC13617959

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.