Evidence map›Paper›PMID 39550412›Full record

ArticleScientific reports2024

Metamaterial-based Artificial magnetic conductor for efficient breast cancer diagnosis using a low-cost antenna array.

Musa N Hamza, Yadgar I Abdulkarim, Salah Raza Saeed, Muharrem Karaaslan, Fatih Ozkan Alkurt, Bhargav Appasani, Rashid Mirzavand, Philibert Nsengiyumva

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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

8 authors.

Musa N HamzaDepartment of Physics, College of Science, University of Raparin, Sulaymaniyah, 46012, Iraq.
Yadgar I AbdulkarimPhysics Department, College of Science, Charmo University, 46023, Chamchamal, Sulaimania, Kurdistan Region, Iraq.
Salah Raza SaeedDepartment of Computer Science, Cihan University, Sulaimaniya, 46001, Kurdistan Region, Iraq.
Muharrem KaraaslanDepartment of Electrical Electronics Engineering Faculty of Engineering and Natural Sciences, Iskenderun Technical University, Iskenderun, Turkey.
Fatih Ozkan AlkurtDepartment of Electrical Electronics Engineering Faculty of Engineering and Natural Sciences, Iskenderun Technical University, Iskenderun, Turkey.
Bhargav AppasaniSchool of Electronics Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India.
Rashid MirzavandElectrical and Computer Engineering Department, University of Alberta, Edmonton, AB, T6G 2R3, Canada.
Philibert NsengiyumvaDepartment of Electrical and Electronics Engineering, College of Science and Technology, University of Rwanda, Kigali, Rwanda. nsenga_philibert@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common malignancy in women globally, stemming from gene mutations that prompt irregular cellular growth and subsequent tumor development. Early-stage detection of cancer cells results in a remarkable 99% survival rate. This research presents a microwave imaging technique for the non-invasive identification of tumors in the initial stages within the women's breast. A low-cost antenna array with an Artificial Magnetic Conductor (AMC) is proposed, featuring a compact structure size of 37.2

Indexed as

Breast NeoplasmsEquipment DesignFemaleHumansMicrowave ImagingMicrowavesPhantoms, ImagingArtificial Magnetic Conductor (AMC)BiosensorMetamaterials (MMTs)Microwave Breast Imaging Systems (MWBIS)Modern Antenna ArrayNon-Invasive Breast Cancer detectionTumor Detection

Identifiers

PMID39550412
PMCPMC11569186

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.