Evidence map›Paper›PMID 30597377›Full record

ArticleJournal of the mechanical behavior of biomedical materials2019

Fabrication and selection of surrogate knee implant bearings for experimental evaluation of embedded in-vivo sensors.

Robert I Ponder, Mohsen Safaei, Steven R Anton

Abstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Advanced Piezoelectric Materials, Devices, and Systems for Orthopedic Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  3. The application of impantable sensors in the musculoskeletal system: a review.Frontiers in bioengineering and biotechnology · 2024
    Review
  4. Article
  5. Design, Analysis, and Fabrication of a Piezoelectric Force Tray for Total Knee Replacements.Journal of intelligent material systems and structures · 2019
    Article
  6. 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

3 authors.

Robert I PonderDynamic and Smart Systems Laboratory, Tennessee Technological University, Cookeville, TN 38505, USA. Electronic address: riponder42@students.tntech.edu.
Mohsen SafaeiDynamic and Smart Systems Laboratory, Tennessee Technological University, Cookeville, TN 38505, USA. Electronic address: msafaeimo42@students.tntech.edu.
Steven R AntonDynamic and Smart Systems Laboratory, Tennessee Technological University, Cookeville, TN 38505, USA. Electronic address: santon@tntech.edu.

Funding

Self-Powered In Vivo Force and Implant Wear Sensing in Knee ArthroplastyR15AR068663 · NIAMS · TENNESSEE TECHNOLOGICAL UNIVERSITY · PI ANTON, STEVEN ROBERT · 2016 to 2016
$417k
NIAMS NIH HHS R15 AR068663
6 · The paper itself

Abstract

Total Knee Replacement (TKR) is a common procedure that is gaining importance with the aging American population. Although TKR is common, about 20% of patients report being unhappy with their results. Previous research has pointed to misalignment and loosening as contributing factors to negative outcomes. What is lacking in the field of TKR is a sensory system that can determine the internal loads of the knee in a direct manner. Implant bearings embedded with piezoelectric transducers have already shown promise in providing accurate sensing data. To perform further experimentation, prototype implant bearings that can be accurately and efficiently produced are needed. This work investigates various fabrication processes and possible materials to provide a foundation for developing surrogate biomechanical implants, especially those with integrated smart sensors. In this study, an original knee bearing is scanned and the resulting geometries used to generate prototypes. The prototypes are fabricated using a variety of methods including CNC machining and additive manufacturing. The prototypes are then tested to determine load distribution, active sensor performance, as well as kinematic performance under loading. The results of this study show that FDM printing provides quick and affordable results but is not ideal for rigorous experimentation. SLA printed prototypes are improved in final quality with an increase in fabrication time. Lastly, CNC machined processes are more labor intensive but can provide the best material characteristics. The findings from this study aim to have an impact not only on researchers studying biomedical sensing, but on the field of biomechanical implants.

Indexed as

Knee ProsthesisArthroplasty, Replacement, KneeHardnessMaterials TestingSurface PropertiesWeight-BearingEmbedded transducersMechanical behaviorOrthopedic implantsPiezoelectric sensingRapid prototyping

Identifiers

PMID30597377
PMCPMC6449152

What OpenQuestion holds

Textmetadata
LicenceTDM
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.