grant
Linking in vivo hemodynamics with outcomes in Type B aortic dissection using 4D flow MRI
Organization NORTHWESTERN UNIVERSITYLocation CHICAGO, UNITED STATESPosted 15 Feb 2024Deadline 31 Jan 2029
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 imagingAI AugmentedAI assistedAI basedAI drivenAI enhancedAI integratedAI poweredAI systemAccelerationActive Follow-upAcuteAddressAgeAlgorithmsAngiogramAngiographyAortaArtificial IntelligenceArtificial Intelligence enhancedAugmented by AIAugmented by the AIAugmented with AIAugmented with the AIBiological MarkersBlood flowCessation of lifeChestChronicClassificationClinicalClinical MarkersComputer ReasoningConvNetDataData AnalysesData AnalysisData SetDeathDedicationsDevelopmentDiameterDissectionDysfunctionEFRACEarly InterventionEjection FractionEvaluationFunctional disorderGenderGeneralized GrowthGeneticGenetic predisposing factorGoalsGrowthHypertensionImageImaging ProceduresImaging TechnicsImaging TechniquesIn vivo analysisInterventionKineticsLinear RegressionsLinkLocationMR ImagingMR TomographyMRIMRIsMachine IntelligenceMagnetic Resonance ImagingManualsMeasurementMeasuresMedicalMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceModelingMorphologyMulti-center studiesMulticenter StudiesNMR ImagingNMR TomographyNuclear Magnetic Resonance ImagingOutcomeOutcome MeasurePatient SelectionPatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPatientsPhysiologic pulsePhysiopathologyPilot ProjectsProtocolProtocols documentationPulseROC AnalysesROC CurveRaceRacesReproducibilityRiskRisk AssessmentRisk FactorsRoleRuptureScanningSmokingStentsSystematicsTechniquesTestingThoraceThoracicThoraxThrombusTimeTissue GrowthTrainingTranslatingUncertaintyVascular Hypertensive DiseaseVascular Hypertensive DisorderWorkZeugmatographyactive followupadverse consequenceadverse outcomeagesanalysis pipelineangiographic imagingartificial intelligence assistedartificial intelligence augmentedartificial intelligence basedartificial intelligence drivenartificial intelligence integratedartificial intelligence poweredautomated analysisbio-markersbiologic markerbiomarkerclinical biomarkersclinical careclinical decision-makingclinical practiceclinical relevanceclinical translationclinically relevantclinically translatableclinically useful biomarkerscohortconvolutional networkconvolutional neural netsconvolutional neural networkcostdata interpretationdevelopmentaldoubtenhanced with AIenhanced with Artificial Intelligencefollow upfollow-upfollowed upfollowupfour dimensional MR imagingfour dimensional MRIfour dimensional flowfour dimensional magnetic resonance imaginggenetic risk factorhemodynamicshigh blood pressurehigh riskhyperpiesiahyperpiesishypertensive diseasehypertensive disorderimagingimaging biomarkerimaging markerimaging-based biological markerimaging-based biomarkerimaging-based markerimprovedin vivoin vivo evaluationin vivo testinginherited factorinsightmeasurable outcomenon-invasive imagingnoninvasive imagingnovelontogenyoutcome measurementoutcome predictionpathophysiologypatient oriented outcomespatient subclasspatient subclusterpatient subgroupspatient subpopulationspatient subsetspatient subtypespilot studypressureprospectiveracialracial backgroundracial originreceiver operating characteristic analysesreceiver operating characteristic curvereconstructionrecruitrepairrepairedrisk stratificationsocialsocial rolestandard of carestratify risktooltransfer learningtreatment choice
Description preview
PROJECT SUMMARY/ABSTRACT
Type B aortic dissection (TBAD) risk-stratification is increasingly relevant in the era of thoracic
endovascular aortic repair (TEVAR), as outcomes and costs can differ significantly depending on
treatment choice and timing. In addition to clinical and social/demographic risk factors, morphologic
imaging biomarkers such as…
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