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.
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.
|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:|