grant

Quantitative magnetic resonance imaging in patients with femoroacetabular impingement syndrome

Organization UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAHLocation SALT LAKE CITY, UNITED STATESPosted 17 Jan 2024Deadline 31 Dec 2026
NIHUS FederalResearch GrantFY20253-D3-Dimensional3DAnatomic AbnormalityAnatomic SitesAnatomic structuresAnatomical AbnormalityAnatomyArthrographyBiochemicalBiomechanicsBody TissuesCartilageCartilaginous TissueClinicalCollagenControl GroupsCoxaCoxalgiaCoxarthrosisCross Sectional AnalysisCross-Sectional AnalysesCross-Sectional StudiesCross-Sectional SurveyDataDecision MakingDefectDeformityDegenerative ArthritisDegenerative polyarthritisDiseaseDisease Frequency SurveysDisorderDysfunctionEarly DiagnosisElementsExhibitsFailureFemurFluoroscopyFunctional disorderFundingFutureHealthHigh PrevalenceHipHip OsteoarthritisHip PainHip region structureHydrogen OxideImageIndividualJointsLesionLinkMR ImagingMR TomographyMRIMRIsMagnetic Resonance ImagingMapsMeasurementMeasuresMechanicsMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceModelingMorphologyMotionNMR ImagingNMR TomographyNeckNuclear Magnetic Resonance ImagingOsteoarthritisOsteoarthrosisPainPainfulParentsPatient imagingPatientsPatternPersonsPhysiologicPhysiologicalPhysiopathologyPositionPositioning AttributeProteoglycanRecruitment ActivityResearchResolutionRiskRisk FactorsRoleShapesSourceStressStructureSymptomsSyndromeTestingTimeTissuesWaterZeugmatographyacetabulumactive recruitmentbiomechanicalboneclinical decision-makingclinical diagnosticscohortdata modelingdegenerative joint diseasedensitydisabilityearly detectionfemur headhip OAhypertrophic arthritisimagingimaging biomarkerimaging in patientsimaging markerimaging on patientsimaging-based biological markerimaging-based biomarkerimaging-based markerimprovedin vivokinematic modelkinematicsmechanicmechanicalmedical diagnosticmodel of datamodel the datamodeling of the dataosteochondralosteochondral tissueparentpathomechanicspathophysiologypredictive biological markerpredictive biomarkerspredictive markerpredictive molecular biomarkerresolutionssocial rolesoft tissuetheoriesthree dimensional
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Full Description

PROJECT SUMMARY
Femoroacetabular impingement syndrome (FAIS) is a common cause of hip pain and disability and a known

risk factor for hip osteoarthritis (OA). Patients with FAIS present with a loss of sphericity of the femoral head,

reduction in femoral-neck offset, and/or prominent acetabular wall. Patient symptoms as well as patterns of soft

tissue damage to hip cartilage and labrum (i.e., ‘chondrolabral’) tissues support the clinical theory that hip

pathoanatomy creates pathomechanics. Still, the presence of impingement deformities does not reliably predict

symptoms, soft tissue damage, or OA status. Earlier detection of structural and compositional changes to

cartilage and labrum would enhance clinical diagnostics and decision making for FAIS. Small, physiologic

changes in the water content of cartilage and associated changes in proteoglycan content and collagen density

– factors involved in early joint OA – can be evaluated by T1ρ and T2 mapping with quantitative MRI (qMRI).

Here, we propose an ancillary R21 study to interrogate relationships between hip anatomy, biomechanics,

and image-based measurements of cartilage and labrum ultrastructure provided by qMRI. We will incorporate

qMRI into our existing imaging workflow for the Parent R01. We will then leverage the statistical shape models

(SSM) and finite element (FE) modeling data provided by the parent R01 to study form-function relationships in

FAIS through two aims. Aim 1 will investigate links between hip morphology and chondrolabral tissue

ultrastructure by quantifying associations between spatial T1ρ and T2 maps of cartilage and labrum with a local

measure of the shape of proximal femur and acetabular bone shape as evaluated by a 3D statistical shape

model. Aim 2 will then investigate links between hip mechanics and chondrolabral tissue ultrastructure by

quantifying associations between spatial T1ρ and T2 maps with a local prediction of the stress and strain in the

cartilage and labrum as evaluated by patient-specific finite element models. We will test the hypothesis that

regions of greater bone deformity and elevated chondrolabral stress and strain as predicted by SSM and FE,

respectively, will coincide with regions of decreased proteoglycan content and loss of collagen organization, as

estimated by qMRI.

The ancillary R21 complements and leverages the parent R01 project in ways that will help us to identify

mechanisms underpinning chondrolabral damage and hip OA in patients with FAIS. To our knowledge, this will

be the first study to demonstrate the spatial correlation of T1ρ and T2 maps with 3D hip shape and chondrolabral

stresses/strains. This information will provide more direct evidence linking hip anatomy and biomechanics with

biochemical changes associated with OA. In the future, the developed framework could be expanded to develop

imaging biomarkers that predict hips at risk of degeneration and to evaluate the longitudinal effects of operative

or non-operative treatments for FAIS.

Grant Number: 5R21AR083686-02
NIH Institute/Center: NIH

Principal Investigator: Andrew Anderson

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