The clinical utility of smart implants to facilitate personalized medicine in musculoskeletal disease is vast. On a patient-specific basis, the implant's physical environment provides a wealth of diagnostic data regarding the progression of healing and prognosis of an outcome. Customized care through personalized medicine reduces costs and improves outcomes by facilitating better diagnoses and optimal treatment regimens for individual patients. Previous smart implant systems used for research have not been adaptable to daily clinical practice due to complexity, cost, and the required modification of host implants. In this project, we will develop and implement a simple, robust, inexpensive, battery-less, telemetry-less, single component implantable sensor with no electrical connections for musculoskeletal smart implants. We will demonstrate that the sensor meets the criteria to facilitate personalized musculoskeletal medicine in daily clinical practice. The sensors will be integrated into spinal implants to (a) objectively correlate in vivo force to progress of spinal fusion, and (b) quantify real time in vivo multi-axial interbody force (axial and shear) during dynamic activities in the goat cervical spine.

Public Health Relevance

Over 400 million lost work days are reported annually in the United States due to musculoskeletal medical conditions at an estimated cost of $900 billion. Personalized medicine and patient-specific customized care improve outcomes and reduce costs by enabling more accurate diagnoses and more optimal treatments. Patients are back to health and back to work more quickly. We will implement a novel implantable sensor to facilitate personalized musculoskeletal medicine in daily clinical practice. Using an in vivo large animal model, we will demonstrate efficacy of our implantable sensor in two clinically relevant applications: (1) objectively assess interbody spinal fusion following arthrodesis, and (2) identif activities of daily living which are likely to results in recurrent spine injury.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21AR063285-01A1
Application #
8511155
Study Section
Special Emphasis Panel (ZRG1-SBIB-Q (11))
Program Officer
Panagis, James S
Project Start
2013-04-01
Project End
2015-03-31
Budget Start
2013-04-01
Budget End
2014-03-31
Support Year
1
Fiscal Year
2013
Total Cost
$164,227
Indirect Cost
$57,977
Name
Rensselaer Polytechnic Institute
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
002430742
City
Troy
State
NY
Country
United States
Zip Code
12180
Ledet, Eric H; Liddle, Benjamin; Kradinova, Katerina et al. (2018) Smart implants in orthopedic surgery, improving patient outcomes: a review. Innov Entrep Health 5:41-51
Drazan, John F; Abdoun, Omar T; Wassick, Michael T et al. (2018) Simple implantable wireless sensor platform to measure pressure and force. Med Eng Phys 59:81-87
Drazan, John F; Wassick, Michael T; Dahle, Reena et al. (2016) A simple sensing mechanism for wireless, passive pressure sensors. Conf Proc IEEE Eng Med Biol Soc 2016:1890-1893
Drazan, John F; Gunko, Aleksandra; Dion, Matthew et al. (2014) Archimedean Spiral Pairs with no Electrical Connections as a Passive Wireless Implantable Sensor. J Biomed Technol Res 1:
Wachs, Rebecca A; Ellstein, David; Drazan, John et al. (2013) Elementary Implantable Force Sensor: For Smart Orthopaedic Implants. Adv Biosens Bioelectron 2: