Evidence map›Paper›PMID 35408143›Full record

ArticleSensors (Basel, Switzerland)2022

Multiscale Sensing of Bone-Implant Loosening for Multifunctional Smart Bone Implants: Using Capacitive Technologies for Precision Controllability.

Inês Peres, Pedro Rolo, Jorge A F Ferreira, Susana C Pinto, Paula A A P Marques, António Ramos, Marco P Soares Dos Santos

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. The application of impantable sensors in the musculoskeletal system: a review.Frontiers in bioengineering and biotechnology · 2024
    Review
  8. Sensor Technology in Fracture Healing.Indian journal of orthopaedics · 2023
    Review
  9. Review
  10. Multifunctional Smart Bone Implants: Fiction or Future?-A New Perspective.Frontiers in bioengineering and biotechnology · 2022
    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

7 authors.

Inês PeresDepartment of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-4637-2315
Pedro RoloDepartment of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0001-8892-6470
Jorge A F FerreiraDepartment of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.
Susana C PintoDepartment of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0003-2658-1045
Paula A A P MarquesDepartment of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-7498-452X
António RamosDepartment of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-6174-8878
Marco P Soares Dos SantosDepartment of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0003-4299-1263

Funding

Fundação para a Ciência e Tecnologia POCI-01-0145-FEDER-031132
6 · The paper itself

Abstract

The world population growth and average life expectancy rise have increased the number of people suffering from non-communicable diseases, namely osteoarthritis, a disorder that causes a significant increase in the years lived with disability. Many people who suffer from osteoarthritis undergo replacement surgery. Despite the relatively high success rate, around 10% of patients require revision surgeries, mostly because existing implant technologies lack sensing devices capable of monitoring the bone-implant interface. Among the several monitoring methodologies already proposed as substitutes for traditional imaging methods, cosurface capacitive sensing systems hold the potential to monitor the bone-implant fixation states, a mandatory capability for long-term implant survival. A multifaceted study is offered here, which covers research on the following points: (1) the ability of a cosurface capacitor network to effectively monitor bone loosening in extended peri-implant regions and according to different stimulation frequencies; (2) the ability of these capacitive architectures to provide effective sensing in interfaces with hydroxyapatite-based layers; (3) the ability to control the operation of cosurface capacitive networks using extracorporeal informatic systems. In vitro tests were performed using a web-based network sensor composed of striped and interdigitated capacitive sensors. Hydroxyapatite-based layers have a minor effect on determining the fixation states; the effective operation of a sensor network-based solution communicating through a web server hosted on Raspberry Pi was shown. Previous studies highlight the inability of current bone-implant fixation monitoring methods to significantly reduce the number of revision surgeries, as well as promising results of capacitive sensing systems to monitor micro-scale and macro-scale bone-interface states. In this study, we found that extracorporeal informatic systems enable continuous patient monitoring using cosurface capacitive networks with or without hydroxyapatite-based layers. Findings presented here represent significant advancements toward the design of future multifunctional smart implants.

Indexed as

DurapatiteOsteoarthritisBone TransplantationHumansProstheses and ImplantsReoperationDurapatitebioelectronic implantscapacitive sensingcomputing in medical devicesimplant technologyinstrumented medical devicesmart implants

Identifiers

PMID35408143
PMCPMC9003018

What OpenQuestion holds

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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.