Evidence map›Paper›PMID 39477941›Full record

ArticleMicrosystems & nanoengineering2024

A microsystem for in vivo wireless monitoring of plastic biliary stents using magnetoelastic sensors.

Ramprasad M Nambisan, Scott R Green, Richard S Kwon, Grace H Elta, Yogesh B Gianchandani

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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

5 authors.

Ramprasad M NambisanEECS Department and Center for Wireless Integrated Microsystems and Sensing, University of Michigan, Ann Arbor, MI, 48109, USA. rampmn@umich.edu.ORCID http://orcid.org/0000-0002-8674-0856
Scott R GreenEECS Department and Center for Wireless Integrated Microsystems and Sensing, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-1546-0371
Richard S KwonDivision of Gastroenterology, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, MI, 48109, USA.
Grace H EltaDivision of Gastroenterology, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, MI, 48109, USA.
Yogesh B GianchandaniEECS Department and Center for Wireless Integrated Microsystems and Sensing, University of Michigan, Ann Arbor, MI, 48109, USA.

Funding

Non-invasive wireless monitoring of occlusion in biliary stents using arrays of mR01DK102663 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GIANCHANDANI, YOGESH B · 2014 to 2017
$1.3M
NIDDK NIH HHS R01 DK102663
6 · The paper itself

Abstract

With an interest in monitoring the patency of stents that are used to treat strictures in the bile duct, this paper reports the investigation of a wireless sensing system to interrogate a microsensor integrated into the stent. The microsensor is comprised of a 28-μm-thick magnetoelastic foil with 8.25-mm length and 1-mm width. Magnetic biasing is provided by permanent magnets attached to the foil. These elements are incorporated into a customized 3D polymeric package. The system electromagnetically excites the magnetoelastic resonant sensor and measures the resulting signal. Through shifts in resonant frequency and quality factor, the sensor is intended to provide an early indication of sludge accumulation in the stent. This work focuses on challenges associated with sensor miniaturization and placement, wireless range, drive signal feedthrough, and clinical use. A swine specimen in vivo experiment is described. Following endoscopic implantation of the sensor enabled plastic stent into the bile duct, at a range of approximately 17 cm, the signal-to-noise ratio of ~10

Identifiers

PMID39477941
PMCPMC11526028

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Registered trials

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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.