grant

Quantitative Assessment of Pelvic Floor Muscle Fitness in Myofascial Pelvic Pain

Organization UNIVERSITY OF CALIFORNIA LOS ANGELESLocation LOS ANGELES, UNITED STATESPosted 11 Sept 2024Deadline 31 Aug 2026
NIHUS FederalResearch GrantFY20243-D3-Dimensional3DAcidosisAddressAdult femalesAdult womenAffectAfter CareAfter-TreatmentAftercareBiological MarkersBladderBladder DysfunctionBladder Urinary SystemBlood SerumBody TissuesCaringCategoriesClinicalDataDevelopmentDevicesDiagnosisDiseaseDisorderDysfunctionEpidemicEvaluationFemaleFemales in adulthoodFunctional disorderGoalsGynecologyHEAL InitiativeHelping End Addiction Long-termHelping End Addiction LongtermHelping to End Addiction Long-termHelping to End Addiction LongtermImageImaging ProceduresImaging TechnicsImaging TechniquesImpairmentIndividualInflammatoryInjectionsIntegrative MedicineInterventionIntervention StrategiesIntestinalIntestinesMachine LearningMeasurementMeasuresMediatorMedicineMethodsMuscleMuscle RelaxationMuscle TissueMuscle relaxation phaseMusculoskeletalNIR SpectroscopyNational Institutes of HealthNatureNear-Infrared SpectrometryNear-Infrared SpectroscopyOpticsOutcomeOutcomes ResearchPain ControlPain TherapyPain managementPathologyPatientsPatternPelvic FloorPelvic Floor MusclePelvic PainPelvic floor structurePhasePhysiatric ProcedurePhysical Medicine ProcedurePhysical TherapeuticsPhysical therapyPhysiologicPhysiologicalPhysiologyPhysiopathologyPhysiotherapyPrediction of Response to TherapyProspective StudiesRecoveryRegimenResearchResolutionRoleSerumSeveritiesSex DisordersSexual DysfunctionSpecialistSyndromeTechnologyTherapeuticTimeTissuesToxinTrainingUnited States National Institutes of HealthUrologyVaginaWomanWomen in adulthoodbio-markersbiologic markerbiomarkerbowelchronic pelvic painchronic pelvic pain syndromeclinical carecompare to controlcomparison controldesigndesigningdevelopmentaleffective therapyeffective treatmentfitnesshemodynamicsimagingimaging spectroscopyimprove symptomimprovedindividual responseindividualized responseinflammation markerinflammatory markerinnovateinnovationinnovativeinsightintegrative healingintegrative healthinterdisciplinary collaborationinterventional strategymachine based learningmachine learning based modelmachine learning modelmachine statistical learningmenmuscularneural inflammationneuroinflammationneuroinflammatorynew approachesnew drug treatmentsnew drugsnew pharmacological therapeuticnew therapeuticsnew therapynext generation therapeuticsnovelnovel approachesnovel drug treatmentsnovel drugsnovel imaging techniquenovel pharmaco-therapeuticnovel pharmacological therapeuticnovel strategiesnovel strategynovel therapeuticsnovel therapyopticalpain patientpain perceptionpain treatmentpathophysiologypharmacologicpost treatmentpredict responsivenesspredict therapeutic responsepredict therapy responsepredicting responseprediction algorithmpreventpreventingprospectivequantitative imagingresolutionsresponseresponse to therapyresponse to treatmentsocial rolespectroscopic imagingstatistical and machine learningsymptom improvementsymptomatic improvementsymptomatologysystemic inflammationsystemic inflammatory responsetechnology implementationtechnology validationtherapeutic responsetherapy predictiontherapy responsethree dimensionaltransdisciplinary collaborationtreatment predictiontreatment responsetreatment response predictiontreatment responsivenessurinary bladder
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Full Description

PROJECT SUMMARY
Myofascial Pelvic Pain (MPP) is a frequently overlooked musculoskeletal cause of chronic pelvic pain

affecting 10-20% of all adult women. Pelvic floor muscle tightening in MPP results in acidosis and

accumulation of neuroinflammatory mediators, leading to self-reinforcing pelvic pain and bowel, bladder,

and sexual dysfunction. A challenge in the management of MPP has been a lack of quantitative measures

of pelvic floor physiology capable of quantifying functional alterations in the pelvic floor musculature in 3-

dimensional space. This deficiency has in turn hampered both a greater understanding of the mechanisms

of MPP and the development of novel therapeutics. Our research group has developed an innovative

approach to identify pelvic floor muscle dysfunction using a near infra-red spectroscopy (NIRS) optical,

vaginal interface designed to image and quantify in real-time oxygenation and hemodynamics regionally

throughout the pelvic floor in response to contraction and relaxation of the muscle. During the R61 phase,

we plan to validate this technology as an effective, non-invasive, and scalable method to assess pelvic floor

muscle fitness. We will seek to establish parameters to describe the severity and spatial patterns of

myofascial dysfunction and how these parameters correlate with individual muscular assessment, the

spectrum of pelvic pain manifestations, and bowel, bladder, and sexual complaints. We will also correlate

these findings with current subjective methods of pelvic floor assessment in control subjects and MPP

subjects, specifically focusing on the ability of NIRS to provide repeatable measurements independent of

user expertise and training. In the R33 phase, we will utilize this technology to examine prospective changes

in pelvic floor fitness in MPP patients following a range of myofascially-directed therapies, including

pharmacologic muscle relaxation, onabotulinumA toxin pelvic floor injection, and myofascial release

physical therapy. We will correlate NIRS outcomes and symptomatic measures with systemic inflammatory

markers pre- and post-treatment to understand better the role of neuroinflammation in the clinical syndrome

of MPP. We will also employ machine learning models to examine if this technology can be utilized to predict

responses to individual treatments. Demonstration that objective measures of muscle fitness recover as

symptoms improve following myofascially-directed therapies will provide the first direct evidence of the

underlying nature of MPP, evidence needed to evolve current therapeutic approaches. Through

interdisciplinary collaboration of specialists in urology, gynecology, integrative medicine, and computational

medicine, this novel imaging technique providing both spatial and functional evaluation of the pelvic floor

will assist in the diagnosis and management of chronic pelvic pain and promote additional research into

novel approaches to address the poorly recognized epidemic of myofascial pelvic pain in women.

Grant Number: 1R61AT013008-01
NIH Institute/Center: NIH

Principal Investigator: A. Lenore Ackerman

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