Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Smart bone plates can monitor fracture healing

Monica C. Lin, Diane Hu, Meir Marmor, Safa T. Herfat, Chelsea S. Bahney, Michel M. Maharbiz
doi: https://doi.org/10.1101/366039
Monica C. Lin
1Department of Bioengineering, University of California, Berkeley, CA 94720, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Diane Hu
2UCSF Orthopaedic Trauma Institute, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Meir Marmor
2UCSF Orthopaedic Trauma Institute, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Safa T. Herfat
2UCSF Orthopaedic Trauma Institute, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chelsea S. Bahney
1Department of Bioengineering, University of California, Berkeley, CA 94720, USA
2UCSF Orthopaedic Trauma Institute, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michel M. Maharbiz
1Department of Bioengineering, University of California, Berkeley, CA 94720, USA
3Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA 94720, USA
4Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: maharbiz@berkeley.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

One Sentence Summary Electrical impedance measurements using microscale sensors implanted in two mouse fracture models tracked longitudinal differences between individual mice with proper healing and mice experiencing poor healing, laying the groundwork for translation to the clinic through integration into fracture fixation implants (i.e. instrumented bone plates).

Abstract There are currently no standardized methods for monitoring fracture healing. While histological studies can clearly identify the tissues found in the four stages of repair, in practice surgeons rely on X-ray, which is only useful at later stages of healing after mineralization has occurred. As electrical impedance spectroscopy (EIS) has previously been used to distinguish tissue types during healing, we hypothesized that microscale sensors embedded in the fracture callus could track the changing tissue with high sensitivity. Using in vivo mouse fracture models, we present the first evidence that microscale instrumented implants provide a route for post-operative fracture monitoring. In this study, we implanted sensors in mouse long bone fractures fixed with either external fixators or bone plates. EIS measurements taken across two electrodes implanted in the fracture gap were able to track longitudinal differences between individual mice with proper healing and mice experiencing poor healing. We additionally present an equivalent circuit model that combines the EIS data in order to classify healing states of fractures. Lastly, we show that EIS measures are strongly correlated with standard µCT measures of healing and that these correlations validate clinically-relevant operating frequencies for implementation of this technique. The data from these two models demonstrate that this technique can be translated to the clinic through integration into current fracture management strategies such as bone plating, providing physicians with quantitative information about the state of a fracture to guide clinical decision-making for patients.

Footnotes

  • ↵† Co-senior author.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted July 10, 2018.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Smart bone plates can monitor fracture healing
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Smart bone plates can monitor fracture healing
Monica C. Lin, Diane Hu, Meir Marmor, Safa T. Herfat, Chelsea S. Bahney, Michel M. Maharbiz
bioRxiv 366039; doi: https://doi.org/10.1101/366039
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Smart bone plates can monitor fracture healing
Monica C. Lin, Diane Hu, Meir Marmor, Safa T. Herfat, Chelsea S. Bahney, Michel M. Maharbiz
bioRxiv 366039; doi: https://doi.org/10.1101/366039

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioengineering
Subject Areas
All Articles
  • Animal Behavior and Cognition (3575)
  • Biochemistry (7520)
  • Bioengineering (5479)
  • Bioinformatics (20677)
  • Biophysics (10258)
  • Cancer Biology (7931)
  • Cell Biology (11583)
  • Clinical Trials (138)
  • Developmental Biology (6563)
  • Ecology (10136)
  • Epidemiology (2065)
  • Evolutionary Biology (13540)
  • Genetics (9498)
  • Genomics (12788)
  • Immunology (7872)
  • Microbiology (19451)
  • Molecular Biology (7614)
  • Neuroscience (41875)
  • Paleontology (306)
  • Pathology (1252)
  • Pharmacology and Toxicology (2179)
  • Physiology (3249)
  • Plant Biology (7007)
  • Scientific Communication and Education (1291)
  • Synthetic Biology (1942)
  • Systems Biology (5406)
  • Zoology (1107)