Evidence map›Paper›PMID 40053445›Full record

ArticleThe Journal of the Acoustical Society of America2025

Angular spatial compounding of diffraction corrected images improves ultrasound attenuation measurements.

Mingrui Liu, James W Wiskin, Gregory J Czarnota, Michael L Oelze

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Deep-Learning-Driven High Spatial Resolution Attenuation Imaging for Ultrasound Tomography (AI-UT).IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025
    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.

Mingrui LiuDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
James W WiskinQT Imaging Inc., Novato, California 94949, USA.
Gregory J CzarnotaSunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Michael L OelzeDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.ORCID 0000-0002-3099-7425

Funding

Developing a quantitative ultrasound breast scanner for identifying early response of breast cancer to chemotherapyR01CA273700 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Gregory Jan Czarnota, Michael L. Oelze · 2022 to 2026
$2.5M
Use of Radiological Clips for Improving Quantitative Ultrasound ImagingR01CA251939 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI OELZE, MICHAEL L. · 2020 to 2024
$2.0M
NCI NIH HHS R01 CA251939NCI NIH HHS R01 CA273700
6 · The paper itself

Abstract

Breast cancer is a leading cause of death for women. Quantitative ultrasound (QUS) and ultrasound computed tomography (USCT) are quantitative imaging techniques that have been investigated for management of breast cancer. QUS and USCT can generate ultrasound attenuation images. In QUS, the spectral log difference (SLD) is a technique that can provide estimates of the attenuation coefficient slope. Full angular spatial compounding (FASC) can be used with SLD to generate attenuation maps with better spatial resolution and lower estimate variance. In USCT, high quality speed of sound (SOS) images can be generated using full wave inversion (FWI) method, but attenuation images created using FWI are often of inferior quality. With the QTI Breast Acoustic CTTM Scanner (QT Imaging, Inc., Novato, CA), raw in-phase and quadrature data were used to implement SLD combined with FASC. The capabilities of SLD were compared with FWI through simulations, phantom experiments, and in vivo breast experiments. Results show the SLD resulted in improved accuracy in estimating lesion sizes compared to FWI. Further, SLD images had lower variance and mean absolute error (MAE) compared to FWI of the same samples with respect to the attenuation values (reducing MAE by three times) in the tissue mimicking phantoms.

Indexed as

Breast NeoplasmsUltrasonography, MammaryFemaleHumansPhantoms, Imaging

Identifiers

PMID40053445
PMCPMC11890159

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.