Evidence map›Paper›PMID 39758433›Full record

ArticleMethodsX2025

Multifrequency electrical impedance tomography (Mf-EIT) for the detection of breast cancer phantom anomalies.

Bayu Ariwanto, Khusnul Ain, Riries Rulaningtyas, Nuril Ukhrowiyah, Rohadatul Aisya, Ahmad Hoirul Basori, Andi Besse Fidausiah Mansur

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Bayu AriwantoMagister of Biomedical Engineering, Faculty of Science and Technology, Airlangga University, Surabaya 60115, Indonesia.
Khusnul AinMagister of Biomedical Engineering, Faculty of Science and Technology, Airlangga University, Surabaya 60115, Indonesia.
Riries RulaningtyasMagister of Biomedical Engineering, Faculty of Science and Technology, Airlangga University, Surabaya 60115, Indonesia.
Nuril UkhrowiyahMagister of Biomedical Engineering, Faculty of Science and Technology, Airlangga University, Surabaya 60115, Indonesia.
Rohadatul AisyaMagister of Biomedical Engineering, Faculty of Science and Technology, Airlangga University, Surabaya 60115, Indonesia.
Ahmad Hoirul BasoriFaculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Rabigh 21911, Saudi Arabia.
Andi Besse Fidausiah MansurFaculty of Computing and Information Technology in Rabigh, King Abdulaziz University, Rabigh 21911, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most commonly diagnosed neoplasm and one of the most widespread cancers among women. The research advanced the Mf-EIT hardware through analogue discovery, component assessment, hardware integration, software creation, and data reconstruction utilizing Gauss-Newton and GREIT approaches. The breast cancer phantom consisted of a gelatin and sodium chloride solution. The position and number of anomalies in the reconstructed image correspond with the phantom. Anomalies in the reconstructed image are illustrated in red, indicating that they exhibit higher conductivity than their environment. The smallest percentage difference in conductivity between the reconstructed image of the cancer abnormality and the phantom is 0.18 %, recorded at a current of 0.35 mA and a frequency of 150 kHz. The smallest percentage difference in size between cancer abnormalities 1 and 2 in the reconstructed image and the phantom is 0.14 %, observed at a current of 0.22 mA and a frequency of 80 kHz. In brief,•This study proposes an innovative Electrical Impedance Tomography (EIT)•The designed and built the Mf-EIT hardware based on data reconstruction using Gauss-Newton and GREIT•The Electrical Impedance Tomography designed to detect the anomalies in the reconstructed image of Breast Cancer.

Indexed as

Analog discoveryBreast cancerElectrical impedance tomographyGauss-NewtonGREITMultifrequencyMultifrequency Electrical Impedance Tomography (Mf-EIT)

Identifiers

PMID39758433
PMCPMC11699602

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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.