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
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
中文摘要
项目总结
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
A bidirectional deep brain interface to unravel the pathogenic role of vascular amyloid in Alzheimer's disease
-
批准号:10901002
-
项目类别:
-
资助金额:$79.53万
-
财政年份:2023
-
负责人:Song Hu
-
依托单位:
CMRO2 and Uncoupling of Oxidative-Phosphorylation in Experimental HIE
-
批准号:10533435
-
项目类别:
-
资助金额:$62.8万
-
财政年份:2022
-
负责人:Song Hu
-
依托单位:
Integrating TPM and PAM to examine the metabolic underpinning of neurovascular repair after stroke
-
批准号:10646249
-
项目类别:
-
资助金额:$62.38万
-
财政年份:2021
-
负责人:Song Hu
-
依托单位:
Integrating TPM and PAM to examine the metabolic underpinning of neurovascular repair after stroke
-
批准号:10468885
-
项目类别:
-
资助金额:$63.61万
-
财政年份:2021
-
负责人:Song Hu
-
依托单位:
Integrating TPM and PAM to examine the metabolic underpinning of neurovascular repair after stroke
-
批准号:10317720
-
项目类别:
-
资助金额:$64.97万
-
财政年份:2021
-
负责人:Song Hu
-
依托单位:
Photoacoustic Microscopy of the Awake Mouse Brain
-
批准号:9914138
-
项目类别:
-
资助金额:$34.43万
-
财政年份:2020
-
负责人:Song Hu
-
依托单位:
Photoacoustic Microscopy of the Awake Mouse Brain
-
批准号:10106311
-
项目类别:
-
资助金额:$19.59万
-
财政年份:2020
-
负责人:Song Hu
-
依托单位:
Photoacoustic Microscopy of Metabolic Dysfunction in Alzheimer’s Disease
-
批准号:9019455
-
项目类别:
-
资助金额:$23.16万
-
财政年份:2016
-
负责人:Song Hu
-
依托单位:
Photoacoustic Microscopy of Metabolic Dysfunction in Alzheimer’s Disease
-
批准号:9262156
-
项目类别:
-
资助金额:$19.16万
-
财政年份:2016
-
负责人:Song Hu
-
依托单位:
Dual-modal Microscopy of Metabolic Reprogramming in Cancer
-
批准号:9187011
-
项目类别:
-
资助金额:$18.57万
-
财政年份:2015
-
负责人:Song Hu
-
依托单位:
海外基金