Evidence map›Paper›PMID 41143296›Full record

ArticleHardwareX2025

Silicone Breast Phantoms for use with Digital Imaging Elasto-Tomography Breast Cancer Screening.

Francesca Gallaway, Henry W Hall, Matthew Walker, Chloe Tattersfield, Stephanie Post, Jessica Fitzjohn, Cong Zhou, J Geoffery Chase

Abstract read
In one paragraph

Article in HardwareX, 2025. 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

8 authors.

Francesca GallawayCentre of Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Henry W HallCentre of Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Matthew WalkerCentre of Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Chloe TattersfieldCentre of Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Stephanie PostCentre of Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Jessica FitzjohnCentre of Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Cong ZhouCentre of Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
J Geoffery ChaseCentre of Bioengineering, Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common form of cancer and has the highest mortality rate among all types of cancer. The current best method to prevent deaths from breast cancer is by early detection. The gold standard for breast cancer detection screening is X-ray mammography. However, it has several limitations, including invasive radiation exposure and poor performance in younger women with dense breast tissue. Digital Imaging Elasto-Tomography is a novel breast cancer screening device using mechanical vibrations and computer vision algorithms to determine the actuated breast tissue surface motion and, from them, infer the elastic properties of underlying breast tissue. It leverages the 400-1000% stiffness contrast between health breast tissues and tumor tissues. To further develop this device breast phantoms are required to test device software, hardware, use, and to quantify diagnostic algorithm performance on repeatable phantom test subjects. These phantoms need to have elastic properties appropriately representing realistic breast tissues and tumor tissues. The production of both asymmetric, realistically shaped and symmetric breast phantoms are detailed. Each of these phantoms is comprised of different silicone compositions representing different tissues, including a skin layer, healthy fat tissue, and cancerous tumour tissue. Several tests were performed to validate these phantoms, including compression testing to determine the elastic modulus and its location within reported human tissue stiffness value ranges.

Indexed as

Breast cancerMaterial PropertiesMedical ImagingSilicone

Identifiers

PMID41143296
PMCPMC12550323

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.