Evidence map›Paper›PMID 38534256›Full record

ArticleBiosensors2024

Microwave Imaging System Based on Signal Analysis in a Planar Environment for Detection of Abdominal Aortic Aneurysms.

Andrea Martínez-Lozano, Roberto Gutierrez, Carlos G Juan, Carolina Blanco-Angulo, Héctor García-Martínez, Germán Torregrosa, José María Sabater-Navarro, Ernesto Ávila-Navarro

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
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 at 1 institution in 1 country.

Andrea Martínez-LozanoMicrowave Laboratory Research Group, Engineering Research Institute of Elche, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0002-1320-3312
Roberto GutierrezMicrowave Laboratory Research Group, Engineering Research Institute of Elche, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0002-6391-2168
Carlos G JuanNeuroengineering Biomedical Research Group, Institute of Bioengineering, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0003-0793-7958
Carolina Blanco-AnguloMicrowave Laboratory Research Group, Engineering Research Institute of Elche, Miguel Hernández University of Elche, 03202 Elche, Spain.
Héctor García-MartínezMicrowave Laboratory Research Group, Engineering Research Institute of Elche, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0001-6679-9378
Germán TorregrosaMicrowave Laboratory Research Group, Engineering Research Institute of Elche, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0001-7062-2313
José María Sabater-NavarroNeuroengineering Biomedical Research Group, Institute of Bioengineering, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0002-3890-6225
Ernesto Ávila-NavarroMicrowave Laboratory Research Group, Engineering Research Institute of Elche, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0002-2856-5367
Universitat de Miguel Hernández d'Elx · ES

Funding

Agencia Estatal de Investigación PID2022-139783OB-I00Agencia Estatal de Investigación RYC2022-036257-IGeneralitat Valenciana ACIF/2020/147Generalitat Valenciana CIAICO/2022/068Generalitat Valenciana CIAPOS/2021/267
6 · The paper itself

Abstract

A proof-of-concept of a microwave imaging system for the fast detection of abdominal aortic aneurysms is shown. This experimental technology seeks to overcome the factors hampering the fast screening for these aneurysms with the usual equipment, such as high cost, long-time operation or hazardous exposure to chemical substances. The hardware system is composed of 16 twin antennas mastered by a microcontroller through a switching network, which connects the antennas to the measurement instrument for sequential measurement. The software system is run by a computer, mastering the whole system, automatizing the measurement process and running the signal processing and medical image generation algorithms. Two image generation algorithms are tested: Delay-and-Sum (DAS) and Improved Delay-and-Sum (IDAS). Own-modified versions of these algorithms adapted to the requirements of our system are proposed. The system is carefully calibrated and fine-tuned with known objects placed at known distances. An experimental proof-of-concept is shown with a human torso phantom, including an aorta phantom and an aneurysm phantom placed in different positions. The results show good imaging capabilities with the potential for detecting and locating possible abdominal aortic aneurysms and reporting acceptable errors.

Indexed as

Aortic Aneurysm, AbdominalMicrowave ImagingAlgorithmsHumansPhantoms, ImagingSoftwareabdominal aortic aneurysm (AAA)Delay-and-Sum (DAS)Improved Delay-and-Sum (IDAS)microwave medical imaging (MWI)non-invasive measurementradio-frequency antenna system

Identifiers

PMID38534256
PMCPMC10967978
OpenAlexW4392958656

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.