Evidence map›Paper›PMID 42194283›Full record

ArticleBioengineering (Basel, Switzerland)2026

Electrical Property Enhancement of a Breast-Fat-Equivalent Phantom for Microwave Mammography.

Kotomi Inada, Yuka Nozaki, Takahiko Yamamoto

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. 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.

Kotomi InadaDepartment of Electrical Engineering, Graduate School of Science and Technology, Noda Campus, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan.
Yuka NozakiDepartment of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Katsushika Campus, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku 125-8585, Tokyo, Japan.ORCID 0009-0002-4656-3274
Takahiko YamamotoThe Division of Smart Healthcare Engineering, Research Institute for Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Breast cancer is the most prevalent cancer among women. Conventional screening method have drawbacks, including pain and radiation exposure. Microwave mammography has emerged as a promising diagnostic modality, and its development involves assessing equipment performance; however, ethical concerns limit its use on actual animals or humans. Therefore, an electromagnetic phantom mimicking the relative permittivity and conductivity of the human body has become crucial. (2) Methods: In this study, the electrical properties of a phantom were adjusted by modifying the material composition and additives based on a previous study. We used a network analyzer and dielectric probe to measure the electrical properties using the coaxial probe method. (3) Results: One issue with the existing phantom was the large average error rate in conductivity. Therefore, we increased the conductivity by adding sodium chloride (NaCl). Additionally, we investigated the effects of the amounts of cooking oil, TX-151, and detergent on the electrical properties to ensure a stronger correlation with target values. (4) Conclusions: The average error rates for the relative permittivity and conductivity were 8.26% and 16.9%, respectively, demonstrating an improvement in the agreement with the target values compared to the previous formulations.

Indexed as

breast-fat-equivalent phantomcoaxial probe methodconductivitymicrowave mammographyphantomrelative permittivity

Identifiers

PMID42194283
PMCPMC13203835

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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.