grant
Opportunistic Atherosclerotic Cardiovascular Disease Risk Estimation at Abdominal CTs with Robust and Unbiased Deep Learning
Organization STANFORD UNIVERSITYLocation STANFORD, UNITED STATESPosted 1 Sept 2023Deadline 31 May 2028
NIHUS FederalResearch GrantFY202521+ years old3-D3-D Imaging3-Dimensional3D3D imagingASCVDAbdomenAccident and Emergency departmentAddressAdipose tissueAdultAdult HumanAffectAlgorithmsAmericanAortaApoplexyArtifactsAtherosclerosisAtherosclerotic Cardiovascular DiseaseBlack BoxBody CompositionBody TissuesBrain Vascular AccidentCAT scanCT X RayCT XrayCT imagingCT scanCVD preventionCalcifiedCardiac infarctionCardiologyCardiovascularCardiovascular Body SystemCardiovascular Diagnostic TechnicsCardiovascular Diagnostic TechniquesCardiovascular DiseasesCardiovascular Organ SystemCardiovascular systemCerebral StrokeCerebrovascular ApoplexyCerebrovascular StrokeCessation of lifeClassificationClinicClinicalComputed TomographyComputed Tomography ScannersComputerized Medical RecordDataData SetDeathDetectionDrug TherapyEarly DiagnosisElectronic Medical RecordEligibilityEligibility DeterminationEmergency DepartmentEmergency roomEnsureEquationEquityEthnic OriginEthnicityEventExhibitsFatty TissueFutureGeneral RadiologyGoalsHeart VascularHistoryImageInsuranceInterventionIschemic HeartIschemic Heart DiseaseIschemic myocardiumLabelLiverMeasuresMedical ImagingMethodsModelingMorbidityMorbidity - disease rateMorphologic artifactsMuscleMuscle TissueMyocardial InfarctMyocardial InfarctionMyocardial IschemiaPatient riskPatientsPerformancePharmacological TreatmentPharmacotherapyPhenotypePilot ProjectsPopulationPopulation HeterogeneityPredicting RiskPrimary PreventionProtocolProtocol ScreeningProtocols documentationQuality ControlRaceRacesRadiationRadiologyRadiology SpecialtyReaderRecommendationRecording of previous eventsRiskRisk EstimateScanningSiteStrokeSubgroupSystematicsTechniquesTestingThree-Dimensional ImagingTissuesTomodensitometryTrainingUncertaintyValidationVariantVariationVascular calcificationWorkX-Ray CAT ScanX-Ray Computed TomographyX-Ray Computerized TomographyXray CAT scanXray Computed TomographyXray computerized tomographyabdominal CTabdominal computed tomographyadiposeadulthoodatheromatosisatherosclerotic diseaseatherosclerotic vascular diseaseauto-segmentationautomated segmentationautomatic segmentationautosegmentationbonebrain attackburden of diseaseburden of illnesscalcificationcardiac disease preventioncardiac disease riskcardiac disorder riskcardiac infarctcardiac ischemiacardiometaboliccardiometabolic riskcardiometabolismcardiovascular disease diagnosiscardiovascular disease preventioncardiovascular disease riskcardiovascular disordercardiovascular disorder diagnosiscardiovascular disorder preventioncardiovascular disorder riskcardiovascular healthcatscancerebral vascular accidentcerebrovascular accidentcirculatory systemco-morbidco-morbiditycohortcomorbiditycomputed axial tomographycomputer based predictioncomputer tomographycomputerized axial tomographycomputerized tomographycontrast CTcontrast enhanced CTcontrast enhanced computed tomographycoronary attackcoronary infarctcoronary infarctioncoronary ischemiacostdata to traindataset to traindeep learningdeep learning algorithmdeep learning based modeldeep learning methoddeep learning modeldeep learning strategydigital twindisease burdendiverse populationsdoubtdrug interventiondrug treatmentearly detectionearly screeningefficacious therapyefficacious treatmentforecasting riskhealth equityheart attackheart disease riskheart disorder riskheart infarctheart infarctionheart ischemiahepatic body systemhepatic organ systemheterogeneous populationhigh riskhistoriesimagingimaging studyimprovedinnovateinnovationinnovativelife style interventionlifestyle interventionmortalitymulti-modal datamulti-modal datasetsmulti-modalitymultimodal datamultimodal datasetsmultimodal modelingmultimodalitymuscularmyocardial ischemia/hypoxiamyocardium ischemianon-contrast CTnoncontrast CTnoncontrast computed tomographypatient stratificationpatient subclasspatient subclusterpatient subgroupspatient subpopulationspatient subsetspatient subtypespharmaceutical interventionpharmacological interventionpharmacological therapypharmacology interventionpharmacology treatmentpharmacotherapeuticspilot studypopulation diversitypredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive modelingpredictive riskpredicts riskpreventpreventingquantitative imagingracialracial backgroundracial originradiologistrisk predictionrisk predictionssegmentation algorithmself supervisedself supervised learningself supervisionsocio-economicsocio-economicallysocioeconomicallysocioeconomicsstatisticsstratified patientstroke eventstrokedstrokessuccesssupervised learningsupervised machine learningthree dimensionaltooltraining datavalidationswhite adipose tissueyellow adipose tissue
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PROJECT SUMMARY
Atherosclerotic cardiovascular disease (ASCVD) is the main cause of morbidity and mortality worldwide, and
affects 18+ million adults nationally. However, 80% of ASCVD deaths may be prevented with prompt intervention
following early screening for ASCVD risk – a powerful rationale for the unmet need of accurate subclinical
ASCVD…
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