grant

Non-invasive hemodynamic and biomechanic imaging methods for early risk prediction in aortic dissection

Organization UNIVERSITY OF WISCONSIN-MADISONLocation MADISON, UNITED STATESPosted 1 Jul 2023Deadline 30 Apr 2028
NIHUS FederalResearch GrantFY2025(4D) flow MRI3-D3-Dimensional3D4-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 imagingActive Follow-upAcuteAdverse ExperienceAdverse eventAnatomic SitesAnatomic structuresAnatomyAngiogramAngiographyAortaAortic AneurysmAortic RuptureBehaviorBiological MarkersBiomechanicsBlood flowBody TissuesCAT scanCT X RayCT XrayCT imagingCT scanCardiacCaringCessation of lifeCharacteristicsChestChronicChronic PhaseClinicalClinical Assessment ToolCompensationComputed TomographyCountryCyclicityDataDeathDevelopmentDiameterDiseaseDisease ProgressionDisorderDissectionDysfunctionEmergent TechnologiesEmerging TechnologiesEnrollmentEquilibriumEvaluationEvolutionFollow-Up StudiesFollowup StudiesFunctional ImagingFunctional disorderGeneralized GrowthGoalsGrowthHospitalsImageImage AnalysesImage AnalysisImaging ProceduresImaging TechnicsImaging TechniquesIndividualized risk predictionInterventionLifeLong-term prospective studiesMR ImagingMR TomographyMRIMRIsMachine LearningMagnetic Resonance ImagingMapsMeasurementMeasuresMedicalMedical ImagingMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMedicineMethodsMichiganMotivationNMR ImagingNMR TomographyNuclear Magnetic Resonance ImagingOperative ProceduresOperative Surgical ProceduresOutcomePatient RecruitmentsPatientsPeriodicityPhasePhysicsPhysiologic ImagingPhysiopathologyPlayPositionPositioning AttributePredicting RiskProbabilistic ModelsProbability ModelsProcessPrognosisPulsatile FlowPulsatile PerfusionPulsating FlowRhythmicityRiskRisk EstimateRoleRuptureScanningStatistical ModelsSurgicalSurgical InterventionsSurgical ProcedureTechniquesTechnology AssessmentThoraceThoracicThoraxTimeTissue GrowthTissuesTomodensitometryUnnecessary ProceduresWorkX-Ray CAT ScanX-Ray Computed TomographyX-Ray Computerized TomographyXray CAT scanXray Computed TomographyXray computerized tomographyZeugmatographyactive followupangiographic imagingbalancebalance functionbio-markersbiologic markerbiomarkerbiomechanicalbiomedical referral centercatscancomputed axial tomographycomputer tomographycomputerized axial tomographycomputerized tomographycostcustomized therapycustomized treatmentdevelopmentalenrollexperiencefollow upfollow-upfollowed upfollowupforecasting riskfour dimensional MR imagingfour dimensional MRIfour dimensional flowfour dimensional magnetic resonance imaginghemodynamicshigh riskimage evaluationimage interpretationimage-based methodimagingimaging biomarkerimaging markerimaging methodimaging modalityimaging-based biological markerimaging-based biomarkerimaging-based markerimprovedindividualized medicineindividualized patient treatmentindividualized predictionsindividualized therapeutic strategyindividualized therapyindividualized treatmentinnovateinnovationinnovativelongitudinal, prospective studymachine based learningminimally invasivemortalitynon-contrast CTnon-invasive imagingnoncontrast CTnoncontrast computed tomographynoninvasive imagingnovelontogenyover-treatmentovertreatmentparticipant recruitmentpathophysiologypatient populationpatient specific therapiespatient specific treatmentpersonalized predictionspersonalized risk predictionphysiological imagingpredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive riskpredicts riskpressureprimary outcomeprospectivereferral centerrepairrepairedrisk predictionrisk prediction systemrisk prediction toolrisk predictionssocial rolespatial and temporalspatial temporalspatiotemporalstatistical linear mixed modelsstatistical linear modelssurgerytailored medical treatmenttailored therapytailored treatmentthree dimensionaltreatment strategyunique treatment
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PROJECT SUMMARY/ABSTRACT
Aortic dissection (AD) is a disease characterized by sudden tearing of the inner layers of the aortic wall creating

a false lumen (FL) channeling aortic blood flow. The vast majority of acute AD patients survive into the chronic

phase, although long-term outcomes are poor with about 50% of patients experiencing…

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Non-invasive hemodynamic and biomechanic imaging methods for early risk prediction in aortic dissection — UNIVERSITY OF | Dev Procure