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Development and identification of magnetic resonance, electrophysiological, and fiber-optic imaging biomarkers of myofascial pain

Development and identification of magnetic resonance, electrophysiological, and fiber-optic imaging biomarkers of myofascial pain
肌筋膜疼痛的磁共振、电生理学和光纤成像生物标志物的开发和鉴定
批准号:
10580406
负责人:
Song Hu
金额:
$228.45万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-09-20 至 2025-08-31
关键词:
AbsenteeismAddressAffectAftercareArticular Range of MotionBiologicalBiological MarkersBiomechanicsBiopsyBlood capillariesBupivacaineChemicalsClinicClinicalClinical ManagementClinical ResearchClinical TrialsConfounding Factors (Epidemiology)DevelopmentDiffusionEconomic BurdenEdemaElectromyographyElectrophysiology (science)EnrollmentFasciaFiberFiber OpticsFibrosisFinancial HardshipFinancial costFunctional disorderFundingGeneral PopulationGenerationsHairHealthHealth Care VisitHumanImageImaging TechniquesIncidenceInfiltrationInflammationInjection of therapeutic agentInjectionsInjuryIntervention StudiesIschemiaKnowledgeLaboratoriesLogistic RegressionsMagnetic ResonanceMagnetic Resonance ElastographyMagnetic Resonance ImagingMasksMeasurementMeasuresModelingMonitorMuscleMuscle FibersMyofascial Pain SyndromesNeckNeck PainNeedlesObservational StudyOpiate AddictionOpticsOutcomePainPain managementParticipantPatient RecruitmentsPatient imagingPatientsPensionsPeripheralPhaseRandomizedRandomized Clinical TrialsRelaxationResearchResolutionSalineSarcomeresShoulderShoulder PainSmooth MuscleSurfaceSymptomsSystemTestingThinnessTimeTissuesTranslatingUterusaxon injurybasebiomarker developmentcandidate markercerebral oxygenationclinical diagnosisimaging approachimaging biomarkerimprovedmechanical propertiesmetabolic imagingminimally invasivemultimodalitymuscle stiffnessnon-opioid analgesicnovel markeroptical imagingpain patientpain scalepredict clinical outcomepredictive modelingpreventquantitative imagingrandomized trialresearch clinical testingresponsesecond harmonicspectrographtechnology developmenttooltreatment responsetrigger point

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英文摘要
PROJECT SUMMARY Myofascial pain is a type of pain that originates in the muscle and surrounding fascia and is accompanied by a loss of range of motion, weakness, and sometimes autonomic symptoms. Affecting more than 85% of the general population sometime in their lives, myofascial pain has been a leading cause of health-care visits, absenteeism, and invalidity pensions—representing a significant health concern and economic burden. However, despite the high incidence of myofascial pain and substantial financial cost, the underlying pathophysiology remains largely unknown. As a result, clinical diagnosis and management of myofascial pain are largely empirical. Objective and quantitative biomarkers acquired by imaging, electromyography, laboratory tests, or muscle biopsy do not exist in the clinic for the assessment of myofascial pain. To address this unmet challenge, we propose to develop and translate a multi-modal, multi-parametric, multi-scale imaging approach to comprehensively assess the different aspects of the pathophysiology underlying myofascial pain both locally at the trigger point and regionally across the entire myofascial tissue, based on which we will identify candidate biomarker(s) that are most sensitive and specific to distinguish different states of myofascial pain and then test the biomarker’s ability to monitor treatment responses and predict clinical outcomes in a randomized clinical trial. Specifically, in the R61 phase (technology development & observational study), we will develop noninvasive magnetic resonance and electrophysiological imaging biomarkers and minimally invasive fiber-optic imaging biomarkers in parallel (Aim 1), and then identify candidate biomarkers that are best capable of differentiating different states (healthy, latent, and active) related to myofascial pain in an observational clinical study (Aim 2). Our prior research and preliminary studies provide strong premises for the proposed biomarker development and clinical testing. In the R33 Phase (interventional study), our research team—consisting of expertise in imaging, myofascial pain, quantitative analysis, and clinical trial—will examine the ability of the imaging biomarker(s) identified in the R61 phase for monitoring the responses to local chemical injection treatment and predicting clinical outcomes in a randomized clinical trial. The proposed research will create vital knowledge about myofascial pain and contribute to the creation of quantitative imaging biomarkers that may guide our choices of appropriate pain management and reduce opioid addiction.
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海外基金