Evidence map›Paper›PMID 29370106›Full record

ArticleSensors (Basel, Switzerland)2018

Preliminary Results of a New Auxiliary Mechatronic Near-Field Radar System to 3D Mammography for Early Detection of Breast Cancer.

Ashkan Ghanbarzadeh Dagheyan, Ali Molaei, Richard Obermeier, Andrew Westwood, Aida Martinez, Jose Angel Martinez Lorenzo

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. 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
0.3field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

6 authors at 3 institutions in 1 country.

Ashkan Ghanbarzadeh DagheyanMechanical Engineering Department, Northeastern University, Boston, MA 02115, USA. ghanbarzadehdaghe.a@husky.neu.edu.ORCID 0000-0003-3640-2821
Ali MolaeiElectrical Engineering Department, Northeastern University, Boston, MA 02115, USA. molaei.a@husky.neu.edu.
Richard ObermeierElectrical Engineering Department, Northeastern University, Boston, MA 02115, USA. obermeier.r@husky.neu.edu.
Andrew WestwoodResearch Applications Specialist and Quantum Engineering Architect, Keysight Technologies, 65 Alsun Drive, Hollis, NH 03049, USA. andrew.westwood@keysight.com.
Aida MartinezHarvard Vanguard, Wellesley, MA 02481, USA. aida_martinez@atriushealth.org.
Jose Angel Martinez LorenzoMechanical Engineering Department, Northeastern University, Boston, MA 02115, USA. j.martinez-lorenzo@neu.edu.
Northeastern University · USHarvard Vanguard Medical Associates · USKeysight Technologies (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and early detection of breast cancer is of high importance, as it is directly associated with the patients' overall well-being during treatment and their chances of survival. Uncertainties in current breast imaging methods can potentially cause two main problems: (1) missing newly formed or small tumors; and (2) false alarms, which could be a source of stress for patients. A recent study at the Massachusetts General Hospital (MGH) indicates that using Digital Breast Tomosynthesis (DBT) can reduce the number of false alarms, when compared to conventional mammography. Despite the image quality enhancement DBT provides, the accurate detection of cancerous masses is still limited by low radiological contrast (about 1%) between the fibro-glandular tissue and affected tissue at X-ray frequencies. In a lower frequency region, at microwave frequencies, the contrast is comparatively higher (about 10%) between the aforementioned tissues; yet, microwave imaging suffers from low spatial resolution. This work reviews conventional X-ray breast imaging and describes the preliminary results of a novel near-field radar imaging mechatronic system (NRIMS) that can be fused with the DBT, in a co-registered fashion, to combine the advantages of both modalities. The NRIMS consists of two antipodal Vivaldi antennas, an XY positioner, and an ethanol container, all of which are particularly designed based on the DBT physical specifications. In this paper, the independent performance of the NRIMS is assessed by (1) imaging a bearing ball immersed in sunflower oil and (2) computing the heat Specific Absorption Rate (SAR) due to the electromagnetic power transmitted into the breast. The preliminary results demonstrate that the system is capable of generating images of the ball. Furthermore, the SAR results show that the system complies with the standards set for human trials. As a result, a configuration based on this design might be suitable for use in realistic clinical applications.

Indexed as

Breast NeoplasmsEarly Detection of CancerHumansMammographyRadarRadiographic Image Enhancementantipodal Vivaldi antennabimodal breast imagingbreast cancer detectionNear-field Radar Imaging

Identifiers

PMID29370106
PMCPMC5856184
OpenAlexW2792018281

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.