Implantable microelectromechanical sensors for diagnostic monitoring and post-surgical prediction of bone fracture healing
Author
McGilvray, K. C.
Ünal, E.
Troyer, K. L.
Santoni, B. G.
Palmer, R. H.
Easley, J. T.
Demir, Hilmi Volkan
Puttlitz, C. M.
Date
2015Source Title
Journal of Orthopaedic Research
Print ISSN
0736-0266
Publisher
John Wiley and Sons Inc.
Volume
33
Issue
10
Pages
1439 - 1446
Language
English
Type
ArticleItem Usage Stats
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Abstract
The relationship between modern clinical diagnostic data, such as from radiographs or computed tomography, and the temporal biomechanical integrity of bone fracture healing has not been well-established. A diagnostic tool that could quantitatively describe the biomechanical stability of the fracture site in order to predict the course of healing would represent a paradigm shift in the way fracture healing is evaluated. This paper describes the development and evaluation of a wireless, biocompatible, implantable, microelectromechanical system (bioMEMS) sensor, and its implementation in a large animal (ovine) model, that utilized both normal and delayed healing variants. The in vivo data indicated that the bioMEMS sensor was capable of detecting statistically significant differences (p-value <0.04) between the two fracture healing groups as early as 21 days post-fracture. In addition, post-sacrifice micro-computed tomography, and histology data demonstrated that the two model variants represented significantly different fracture healing outcomes, providing explicit supporting evidence that the sensor has the ability to predict differential healing cascades. These data verify that the bioMEMS sensor can be used as a diagnostic tool for detecting the in vivo course of fracture healing in the acute post-treatment period. © 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.
Keywords
ImplantedBiomechanics
Histology
Micro computed tomography
Microelectromechanical system (MEMS)
Animal experiment
Animal model
Animal tissue
Biocompatibility
Biosensor
Controlled study
Diagnosis
Fracture healing
Histopathology
In vivo study
Micro - computed tomography
Microelectromechanical system
Molecular sensor
Nonhuman
Priority journal
Sheep
Statistical significance
Wound healing impairment
Ambulatory monitoring
Devices
Electrode implant
Evaluation study
Materials testing
Animals
Electrodes
Materials testing
Micro - electrical - mechanical systems
Monitoring
Telemetry