grant

A comprehensive valvular heart disease assessment with stress cardiac MRI

Organization OHIO STATE UNIVERSITYLocation Columbus, UNITED STATESPosted 1 Aug 2021Deadline 31 Jul 2027
NIHUS FederalResearch GrantFY2025(4D) flow MRI4-D MR imaging4-D MRI4-D flow MR imaging4-D flow MRI4-D flow imaging4-D flow magnetic resonance imaging4-D magnetic resonance imaging4D MR imaging4D MRI4D flow MR imaging4D flow MRI4D flow imaging4D flow magnetic resonance imaging4D magnetic resonance imagingAccelerationAcousticsAortic IncompetenceAortic InsufficiencyAortic RegurgitationAortic StenosisAortic Valve IncompetenceAortic Valve InsufficiencyAortic Valve RegurgitationAortic Valve StenosisBayesian ModelingBayesian adaptive designsBayesian adaptive modelsBayesian belief networkBayesian belief updating modelBayesian frameworkBayesian hierarchical modelBayesian network modelBayesian nonparametric modelsBayesian spatial data modelBayesian spatial image modelsBayesian spatial modelsBayesian statistical modelsBayesian tracking algorithmsBloodBlood Reticuloendothelial SystemBlood flowCardiovascularCardiovascular Body SystemCardiovascular Organ SystemCardiovascular systemCell Communication and SignalingCell SignalingClinicalClinical ResearchClinical StudyComplexDependenceDiagnosisDiagnostic FindingsDiagnostic ImagingDysfunctionEFRACEchocardiogramEchocardiographyEjection FractionEvaluationExerciseFerahemeFunctional disorderFunctional impairmentGoalsHealthHeartHeart Valve DiseasesHeart VascularImageImaging ProceduresImaging TechnicsImaging TechniquesImpairmentInterventionIntracellular Communication and SignalingInvestigatorsLateralLesionMR ImagingMR TomographyMRIMRI biomarkerMRI markerMRIsMagnetic Resonance ImagingMeasuresMedical ImagingMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMethodsMitral IncompetenceMitral InsufficiencyMitral RegurgitationMitral Valve IncompetenceMitral Valve InsufficiencyMitral Valve RegurgitationMotionMovementMyocardialNMR ImagingNMR TomographyNuclear Magnetic Resonance ImagingOperative ProceduresOperative Surgical ProceduresOutcomePETPET ScanPET imagingPETSCANPETTPatientsPhasePhysiologicPhysiologic pulsePhysiologicalPhysiopathologyPlayPositron Emission Tomography Medical ImagingPositron Emission Tomography ScanPositron-Emission TomographyPredispositionPrevalenceProtocolProtocols documentationPublic HealthPulseRad.-PETRecommendationReproducibilityResearchResearch PersonnelResearchersResolutionRestRoleScanningSeveritiesSignal TransductionSignal Transduction SystemsSignalingSigns and SymptomsStressStress TestsSurgicalSurgical InterventionsSurgical ProcedureSusceptibilityTechniquesTimeTransesophageal EchocardiographyTransthoracic EchocardiographyVO2 maxVO2maxValidationValvular Heart DiseasesValvular Heart DisorderVentricularWorkZeugmatographyaged groupaged groupsaged individualaged individualsaged peopleaged personaged personsaged populationaged populationsaging populationaortic valve incompetencybiological signal transductionblood flow imagingblood imagingbody movementcardiac MRIcardiac functioncardiac imagingcardiac magnetic resonance imagingcardiac rhythmcardiac scanningcardiac valve diseasecardiac valve disordercardiac valvular diseasecirculatory systemclinical careclinical outcome assessmentcohortcomputational frameworkcomputer frameworkcomputerized data processingcost effectivedata acquisitiondata acquisitionsdata processingdegenerative valvular heart diseaseferumoxytolfour dimensional MR imagingfour dimensional MRIfour dimensional flowfour dimensional magnetic resonance imagingfunction of the hearthealthy volunteerheart functionheart imagingheart rhythmheart scanningheart sonographyheart valve disorderhematology imagingimagingimprovedinnovateinnovationinnovativeinterestmagnetic resonance imaging biomarkermagnetic resonance imaging markermaximal oxygen uptakemulti-modalitymultimodalitypathophysiologypopulation agingpositron emission tomographic (PET) imagingpositron emission tomographic imagingpositron emitting tomographypredict clinical outcomeprotocol developmentreconstructionresolutionsrisk stratificationsignal processingsocial rolestandard of carestratify risksurgerytooltreatment planningvalidationsvector
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Full Description

Project Summary/Abstract
Mitral valve regurgitation (MR) is a growing public health concern, and with an aging population, its prevalence

is expected to rise steeply. For MR diagnosis and severity assessment, echocardiographic techniques have

long been the standard of care. Assessment based on such techniques, however, has limitations, both in terms

of technical challenges and treatment recommendations. As a result, optimal management of MR, especially

determining the timing of surgery, remains complex and stands to benefit from tools that provide quantitative

and comprehensive characterization of MR. The overall goal of this project is to develop and validate a stress

cardiovascular MRI protocol that can lead to a more definitive treatment plan for MR patients.

Cardiovascular MRI (CMR) is a well-established imaging technique that provides the most comprehensive

evaluation of the cardiovascular system. The reproducibility of CMR-based flow quantification has been shown

to be superior to that of echocardiography. Despite these advantages, the additive clinical value of CMR for

MR patients has not been established. More recently, evidence has emerged that CMR-based assessment has

better predictive power for clinical outcomes for MR patients and thus could play a central role in determining

management plans for such patients. Existing CMR techniques, however, have significant limitations,

precluding their use in routine clinical care. For example, the flow quantification using traditional 2D phase-

contrast MRI (PC-MRI) is sensitive to the placement of the imaging plane, cannot measure the transvalvular

flow directly, requires breath-holding, and is susceptible to irregular cardiac rhythm. Recently, 4D flow imaging,

due to its volumetric coverage and three-directional encoding, has gained significant interest, but acquisition

for 4D flow imaging using existing protocols can be prohibitively long, especially for whole-heart coverage.

Also, existing 4D flow imaging protocols only perform imaging under resting conditions, which cannot fully

characterize functional impairment that is only unmasked under stress testing.

In this work, we will develop and validate a comprehensive CMR protocol that (i) provides ferumoxytol-

enhanced 4D flow imaging with whole-heart coverage, (ii) requires minimal planning from the MRI technologist,

(iii) is performed in clinically feasible acquisition time, (iv) does not require breath-holds or regular cardiac

rhythm, (v) does not require navigator gating, (vi) allows imaging during exercise stress, exposing functional

impairment, and (vii) additionally provides cardiac function quantification to explain and interpret stress-induced

functional impairment observed in MR patients. In Aims 1 and 2, we will develop and optimize the protocol. In

Aims 3 and 4, we will validate the accuracy and reproducibility of the protocol in 55 healthy subjects and 55

patients diagnosed with MR. We hypothesize that the developed protocol leads to a more reliable assessment

of MR than possible with TTE alone and set the stage for larger clinical studies where the power of CMR

parameters to predict clinical outcomes is demonstrated.

Grant Number: 5R01HL151697-05
NIH Institute/Center: NIH

Principal Investigator: Rizwan Ahmad

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