Evidence map›Paper›PMID 32340281›Full record

ArticleSensors (Basel, Switzerland)2020

Multimodal Breast Phantoms for Microwave, Ultrasound, Mammography, Magnetic Resonance and Computed Tomography Imaging.

Giuseppe Ruvio, Raffaele Solimene, Antonio Cuccaro, Gaia Fiaschetti, Andrew J Fagan, Sean Cournane, Jennie Cooke, Max J Ammann, Jorge Tobon, Jacinta E Browne

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 45 citations in OpenAlex.

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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

10 authors at 7 institutions in 3 countries.

Giuseppe RuvioSchool of Medicine, National University of Ireland Galway, Galway 8, Ireland.ORCID 0000-0002-5642-4035
Raffaele SolimeneDipartimento di Ingegneria, Università degli Studi della Campania Luigi Vanvitelli, 81031 Aversa, Italy.ORCID 0000-0003-1808-4671
Antonio CuccaroDipartimento di Ingegneria, Università degli Studi della Campania Luigi Vanvitelli, 81031 Aversa, Italy.
Gaia FiaschettiDepartment of Information Engineering, Electronics, and Telecommunications, Sapienza University, 00185 Rome, Italy.
Andrew J FaganDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-5528-9732
Sean CournaneMedical Physics and Bioengineering Department, St. James's Hospital, Dublin 8, Ireland.ORCID 0000-0002-8185-968X
Jennie CookeMedical Physics and Bioengineering Department, St. James's Hospital, Dublin 8, Ireland.
Max J AmmannAntenna & High Frequency Research Centre, Technological University Dublin, Dublin 8, Ireland.
Jorge TobonDET-Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy.ORCID 0000-0003-4726-5017
Jacinta E BrowneDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Mayo Clinic · USSt. James's Hospital · IEUniversity of Campania "Luigi Vanvitelli" · ITOllscoil na Gaillimhe – University of Galway · IEPolitecnico di Torino · ITSapienza University of Rome · ITTechnological University Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this work was to develop multimodal anthropomorphic breast phantoms suitable for evaluating the imaging performance of a recently-introduced Microwave Imaging (MWI) technique in comparison to the established diagnostic imaging modalities of Magnetic Resonance Imaging (MRI), Ultrasound (US), mammography and Computed Tomography (CT). MWI is an emerging technique with significant potential to supplement established imaging techniques to improve diagnostic confidence for breast cancer detection. To date, numerical simulations have been used to assess the different MWI scanning and image reconstruction algorithms in current use, while only a few clinical trials have been conducted. To bridge the gap between the numerical simulation environment and a more realistic diagnostic scenario, anthropomorphic phantoms which mimic breast tissues in terms of their heterogeneity, anatomy, morphology, and mechanical and dielectric characteristics, may be used. Key in this regard is achieving realism in the imaging appearance of the different healthy and pathologic tissue types for each of the modalities, taking into consideration the differing imaging and contrast mechanisms for each modality. Suitable phantoms can thus be used by radiologists to correlate image findings between the emerging MWI technique and the more familiar images generated by the conventional modalities. Two phantoms were developed in this study, representing difficult-to-image and easy-to-image patients: the former contained a complex boundary between the mammary fat and fibroglandular tissues, extracted from real patient MRI datasets, while the latter contained a simpler and less morphologically accurate interface. Both phantoms were otherwise identical, with tissue-mimicking materials (TMMs) developed to mimic skin, subcutaneous fat, fibroglandular tissue, tumor and pectoral muscle. The phantoms' construction used non-toxic materials, and they were inexpensive and relatively easy to manufacture. Both phantoms were scanned using conventional modalities (MRI, US, mammography and CT) and a recently introduced MWI radar detection procedure called in-coherent Multiple Signal Classification (I-MUSIC). Clinically realistic artifact-free images of the anthropomorphic breast phantoms were obtained using the conventional imaging techniques as well as the emerging technique of MWI.

Indexed as

AlgorithmsBreastComputer SimulationFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMammographyMicrowavesPhantoms, ImagingTomography, X-Ray ComputedUltrasonographydielectric propertiesmicrowave imagingtissue-mimicking materials

Identifiers

PMID32340281
PMCPMC7219586
OpenAlexW3019362195

What OpenQuestion holds

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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.