Evidence map›Paper›PMID 35735563›Full record

ArticleBiosensors2022

Bioimpedance Sensing of Implanted Stent Occlusions: Smart Stent.

Antonio Rodríguez, Pablo Barroso, Alberto Olmo, Alberto Yúfera

Abstract read
In one paragraph

Article in Biosensors, 2022. 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

4 authors.

Antonio RodríguezInstituto de Microelectrónica de Sevilla (IMSE-CSIC), Universidad de Sevilla, 41012 Sevilla, Spain.
Pablo BarrosoDepartamento de Física Aplicada III, Universidad de Sevilla, 41012 Sevilla, Spain.
Alberto OlmoInstituto de Microelectrónica de Sevilla (IMSE-CSIC), Universidad de Sevilla, 41012 Sevilla, Spain.ORCID 0000-0001-6388-4462
Alberto YúferaInstituto de Microelectrónica de Sevilla (IMSE-CSIC), Universidad de Sevilla, 41012 Sevilla, Spain.ORCID 0000-0002-1814-6089

Funding

Instituto Salud Carlos III DTS19/00134Ministerio de Ciencia, Innovación y Universidades RTI2018-093512-B-C21
6 · The paper itself

Abstract

Coronary artery disease is one of the most common diseases in developed countries and affects a large part of the population of developing countries. Preventing restenosis in patients with implanted stents is an important current medical problem. The purpose of this work is to analyse the viability of bioimpedance sensing to detect the formation of atheromatous plaque in an implantable stent. Simulations in COMSOL Multiphysics were performed to analyse the performance of the proposed bioimpedance sensing system, based on the Sheffield technique. Both non-pathological and pathological models (with atheromatous plaque), including the flow of blood were considered. Simulations with the non-pathological model showed a homogeneous distribution of the measured current intensity in the different electrodes, for every configuration. On the other hand, simulations with the pathological model showed a significant decrease of the measured current intensity in the electrodes close to the simulated atheromatous plaque. The presence of the atheromatous plaque can, therefore, be detected by the system with a simple algorithm, avoiding the full reconstruction of the image and the subsequent computational processing requirements.

Indexed as

Plaque, AtheroscleroticHumansStentsbioimpedance measurementCoronary artery diseaserestenosisstent

Identifiers

PMID35735563
PMCPMC9221340

What Socratic 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 Socratic graph.