Evidence map›Paper›PMID 32887340›Full record

ArticleSensors (Basel, Switzerland)2020

Development of an Anthropomorphic Phantom of the Axillary Region for Microwave Imaging Assessment.

Matteo Savazzi, Soroush Abedi, Niko Ištuk, Nadine Joachimowicz, Hélène Roussel, Emily Porter, Martin O'Halloran, Jorge R Costa, Carlos A Fernandes, João M Felício and 1 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Real-Time Differentiation Between Benign and Malignant Breast Tumors and Other Tissues Using Dielectric Properties.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  3. Article
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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

11 authors at 4 institutions in 4 countries.

Matteo SavazziInstituto de Biofísica e Engenharia Biomédica (IBEB), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016-Lisbon, Portugal.ORCID 0000-0002-1340-6726
Soroush AbediSorbonne Université, CNRS, Laboratoire de Génie Electrique et Electronique de Paris, 75252, Paris, France.
Niko IštukTranslational Medical Device Lab, National University of Ireland Galway, H91 ERW1 Galway, Ireland.
Nadine JoachimowiczSorbonne Université, CNRS, Laboratoire de Génie Electrique et Electronique de Paris, 75252, Paris, France.ORCID 0000-0002-3990-9727
Hélène RousselSorbonne Université, CNRS, Laboratoire de Génie Electrique et Electronique de Paris, 75252, Paris, France.
Emily PorterTranslational Medical Device Lab, National University of Ireland Galway, H91 ERW1 Galway, Ireland.ORCID 0000-0002-7787-3139
Martin O'HalloranTranslational Medical Device Lab, National University of Ireland Galway, H91 ERW1 Galway, Ireland.
Jorge R CostaInstituto de Telecomunicações, Instituto Superior Técnico (IST), Universidade de Lisboa, 1049-001 Lisbon, Portugal.ORCID 0000-0002-1879-0026
Carlos A FernandesInstituto de Telecomunicações, Instituto Superior Técnico (IST), Universidade de Lisboa, 1049-001 Lisbon, Portugal.ORCID 0000-0001-5332-842X
João M FelícioInstituto de Telecomunicações, Instituto Superior Técnico (IST), Universidade de Lisboa, 1049-001 Lisbon, Portugal.ORCID 0000-0003-3439-5947
Raquel C ConceiçãoInstituto de Biofísica e Engenharia Biomédica (IBEB), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016-Lisbon, Portugal.ORCID 0000-0002-0025-863X
University of Lisbon · PTCentre National de la Recherche Scientifique · FROllscoil na Gaillimhe – University of Galway · IEIscte – Instituto Universitário de Lisboa · PT

Funding

Fundação para a Ciência e a Tecnologia UIDB/00645/2020Fundação para a Ciência e a Tecnologia UIDB/EEA/50008/2020H2020 Marie Skłodowska-Curie Actions 764479
6 · The paper itself

Abstract

We produced an anatomically and dielectrically realistic phantom of the axillary region to enable the experimental assessment of Axillary Lymph Node (ALN) imaging using microwave imaging technology. We segmented a thoracic Computed Tomography (CT) scan and created a computer-aided designed file containing the anatomical configuration of the axillary region. The phantom comprises five 3D-printed parts representing the main tissues of interest of the axillary region for the purpose of microwave imaging: fat, muscle, bone, ALNs, and lung. The phantom allows the experimental assessment of multiple anatomical configurations, by including ALNs of different size, shape, and number in several locations. Except for the bone mimicking organ, which is made of solid conductive polymer, we 3D-printed cavities to represent the fat, muscle, ALN, and lung and filled them with appropriate tissue-mimicking liquids. Existing studies about complex permittivity of ALNs have reported limitations. To address these, we measured the complex permittivity of both human and animal lymph nodes using the standard open-ended coaxial-probe technique, over the 0.5 GHz-8.5 GHz frequency band, thus extending current knowledge on dielectric properties of ALNs. Lastly, we numerically evaluated the effect of the polymer which constitutes the cavities of the phantom and compared it to the realistic axillary region. The results showed a maximum difference of 7 dB at 4 GHz in the electric field magnitude coupled to the tissues and a maximum of 10 dB difference in the ALN response. Our results showed that the phantom is a good representation of the axillary region and a viable tool for pre-clinical assessment of microwave imaging technology.

Indexed as

Breast NeoplasmsMicrowave ImagingPhantoms, ImagingAxillaHumansLymph NodesTomography, X-Ray Computedanthropomorphic phantomaxillary lymph node diagnosisbiological tissue dielectric propertiesbreast cancermicrowave imagingopen-ended coaxial-probepre-clinical testing

Identifiers

PMID32887340
PMCPMC7506727
OpenAlexW3082945018

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.