Evidence map›Paper›PMID 28975256›Full record

ArticleJournal of biomechanical engineering2017

Wireless Implantable Sensor for Noninvasive, Longitudinal Quantification of Axial Strain Across Rodent Long Bone Defects.

Brett S Klosterhoff, Keat Ghee Ong, Laxminarayanan Krishnan, Kevin M Hetzendorfer, Young-Hui Chang, Mark G Allen, Robert E Guldberg, Nick J Willett

Abstract read
In one paragraph

Article in Journal of biomechanical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Implantable biosensors for musculoskeletal health.Connective tissue research · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. A piezoelectric bone fixation plate forMeasurement science & technology · 2020
    Article
  15. Wireless Technologies for Implantable Devices.Sensors (Basel, Switzerland) · 2020
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Regenerative Rehabilitation of the Musculoskeletal System.The Journal of the American Academy of Orthopaedic Surgeons · 2018
    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

8 authors.

Brett S KlosterhoffGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332.
Keat Ghee OngDepartment of Biomedical Engineering, Michigan Technological University, Houghton, MI 49931.
Laxminarayanan KrishnanParker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332.
Kevin M HetzendorferParker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332.
Young-Hui ChangSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332.
Mark G AllenSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332.
Robert E GuldbergGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332.
Nick J WillettParker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30332.

Funding

Research Training Program Plan on Cell and Tissue Engineering (CTEng)T32GM008433 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI GARCIA, ANDRES J · 1991 to 2021
$7.1M
NIGMS NIH HHS T32 GM008433
6 · The paper itself

Abstract

Bone development, maintenance, and regeneration are remarkably sensitive to mechanical cues. Consequently, mechanical stimulation has long been sought as a putative target to promote endogenous healing after fracture. Given the transient nature of bone repair, tissue-level mechanical cues evolve rapidly over time after injury and are challenging to measure noninvasively. The objective of this work was to develop and characterize an implantable strain sensor for noninvasive monitoring of axial strain across a rodent femoral defect during functional activity. Herein, we present the design, characterization, and in vivo demonstration of the device's capabilities for quantitatively interrogating physiological dynamic strains during bone regeneration. Ex vivo experimental characterization of the device showed that it possessed promising sensitivity, signal resolution, and electromechanical stability for in vivo applications. The digital telemetry minimized power consumption, enabling extended intermittent data collection. Devices were implanted in a rat 6 mm femoral segmental defect model, and after three days, data were acquired wirelessly during ambulation and synchronized to corresponding radiographic videos, validating the ability of the sensor to noninvasively measure strain in real-time. Together, these data indicate the sensor is a promising technology to quantify tissue mechanics in a specimen specific manner, facilitating more detailed investigations into the role of the mechanical environment in dynamic bone healing and remodeling processes.

Indexed as

FemurProstheses and ImplantsStress, MechanicalAnimalsBiomechanical PhenomenaRatsWireless Technology

Identifiers

PMID28975256
PMCPMC5676651

What OpenQuestion holds

Textmetadata
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.