grant

Wireless Metamaterial Interbody Cage for Real-Time Assessment of Lumbar Spinal Fusion In Vivo

Organization UNIVERSITY OF PITTSBURGH AT PITTSBURGHLocation PITTSBURGH, UNITED STATESPosted 1 Sept 2025Deadline 31 Aug 2027
NIHUS FederalResearch GrantFY202521+ years old3-D3-Dimensional3DActive Follow-upAcuteAdultAdult HumanAg elementAnatomic SitesAnatomic structuresAnatomyAnimalsBenchmarkingBest Practice AnalysisBiocompatible MaterialsBiomaterialsBone DensityBone GrowthBone Mineral DensityCAT scanCT X RayCT XrayCT imagingCT scanCardiacCell Communication and SignalingCell SignalingCollectionComputed TomographyCopperCu elementDataDentalDevelopmentDiagnostic MethodDiagnostic ProcedureDiagnostic TechniqueDimensionsEarly DiagnosisElectrodesElectronicsEnergy harvestingEnsureEvolutionExperimental DesignsFailureFixationFoundationsGenerationsGoalsHistologicHistologicallyImplantIndividualIntracellular Communication and SignalingMeasurementMeasuresMechanicsMethodsModelingMonitorMotionNatureNervous System InjuriesNervous System TraumaNervous System damageNeurological DamageNeurological InjuryNeurological traumaOperative ProceduresOperative Surgical ProceduresOrthopedicOrthopedic Surgical ProfessionOrthopedicsOutcomeOvineOvisPerformancePhasePower SourcesPower SuppliesProceduresProcessProtocolProtocols documentationRadiation exposureRetrievalSensitivity and SpecificitySheepSignal TransductionSignal Transduction SystemsSignalingSilverSkinSpinalSpinal ColumnSpinal FusionSpineSpondylosyndesesSurgicalSurgical InterventionsSurgical ProcedureSystemTechniquesTechnologyTestingTextilesTimeTomodensitometryTrainingTransmissionUnited StatesVertebral columnWalkingX-Ray CAT ScanX-Ray Computed TomographyX-Ray Computerized TomographyX-ray microtomographyXray CAT scanXray Computed TomographyXray computerized tomographyXray microtomographyactive followupadulthoodanimal tissueassess effectivenessbackbonebenchmarkbiological materialbiological signal transductionbonebone healingbone wound healingcatscanclinical significanceclinically significantcohortcomputed axial tomographycomputer tomographycomputerized axial tomographycomputerized tomographydata exchangedata transferdata transmissiondesigndesigningdetermine effectivenessdevelopmentalearly detectioneffectiveness assessmenteffectiveness evaluationelectrical propertyelectronicelectronic deviceevaluate effectivenessexamine effectivenessfabricfollow upfollow-upfollowed upfollowupgastrointestinalhealingimplantationimprovedin vivoin vivo monitoringinnovateinnovationinnovativekinematic modelkinematicsmechanicmechanicalmechanical propertiesmicro CTmicro computed tomographymicroCTmicrotomographyneurotraumanon-contrast CTnoncontrast CTnoncontrast computed tomographyoperationoperationsosseous wound healingovine animal modelovine modelphysiologic stressesphysiologic stressorphysiological stressespilot testpreventpreventingsample fixationsealsensing datasensor datasheep modelsilver chloridesuccesssurgerysurgery outcomesurgical outcomethree dimensionaltransmission processtreadmillvoltagewirelesswireless communicationwireless data transferwireless data transmissionwireless monitorwireless sensorwireless transmission
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Full Description

PROJECT SUMMARY
Current technology is constrained by a lack of specificity and sensitivity for wireless force sensing

during spinal fusion. The conventional methods for acquiring force-sensing data from smart wireless spinal

implants require various bulky modules for signal generation, power supply, signal modulation, and transmission.

Consequently, there is a growing demand for wireless force sensing techniques for spinal implants characterized

by their compact form, self-powered operation, and precise data transmission. We propose to determine the

utility of the first-of-its-kind, personalized, wireless, electronic-free metamaterial interbody fusion cage

that can precisely measure forces during spinal fusion in-vivo and transmit the data wirelessly in real

time. We hypothesize that the electrical signals generated by a metamaterial fusion cage under spine motions

correlate with the applied forces, change with spinal fusion progression, and can wirelessly propagate through

animal tissue. In addition, we hypothesize that these electrical signals can be detected using electrodes placed

on the skin, enabling accurate, reliable, and focal assessments of spinal fusion progress in vivo. This is clinically

significant as it allows clinicians to consistently monitor spinal fusion progress through recorded data

in evolution curves. Our first aim will be to design and thoroughly evaluate the packaged wireless-sensor-

nanogenerator metamaterial cages to ensure they can withstand in vivo conditions. Our approach involves

tailoring the overall dimensions and stiffness of the metamaterial cages to match the 3D anatomy of each

individual sheep precisely. The cages will undergo mechanical testing and a specific hermetic sealing process

to maintain optimal sensing and signal transmission performance in vivo. Our second objective will be to validate

the hermetically sealed metamaterial cages for the wireless monitoring of posterior lumbar spinal fusion in ovine

lumbar spines. We will consider one spinal fusion cohort of six adult sheep undergoing posterior lumbar interbody

fusion at the L4/5 level. An unplated model will be considered to prevent supplemental fixation from influencing

the construct stiffness. The voltage generated and transmitted by the metamaterial cages will be wirelessly

interrogated daily using the validated electrode patches. We anticipate a decrease in the reference baseline

voltage signal measured wirelessly post-procedure as the bone fuses and the functional spinal unit (FSU) gains

stiffness. After termination, operative motion segments will be taken for mechanical testing, MicroCT analysis,

and histological assessment. The retrieved voltage recordings will be matched with the FSU stiffness and Denver

sheep fusion scale to determine the relationship between the voltage and bone growth. The proposed wireless

force sensing concept extends beyond orthopedic and spinal implants, thanks to the scalable nature of

metamaterial systems. This innovation lays the foundation for the development of cutting-edge wireless

metamaterial implants in diverse fields, including but not limited to cardiac, dental, and gastrointestinal implants.

Grant Number: 1R21AR085218-01
NIH Institute/Center: NIH

Principal Investigator: Amir Alavi

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