2024
Brain Care Score and Neuroimaging Markers of Brain Health in Asymptomatic Middle-Age Persons
Rivier C, Singh S, Senff J, Tack R, Marini S, Clocchiatti-Tuozzo S, Huo S, Renedo D, Papier K, Conroy M, Littlejohns T, Chemali Z, Kourkoulis C, Payabvash S, Newhouse A, Westover M, Lazar R, Pikula A, Ibrahim S, Howard V, Howard G, Brouwers H, Van Duijn C, Fricchione G, Tanzi R, Yechoor N, Sheth K, Anderson C, Rosand J, Falcone G. Brain Care Score and Neuroimaging Markers of Brain Health in Asymptomatic Middle-Age Persons. Neurology 2024, 103: e209687. PMID: 39052961, DOI: 10.1212/wnl.0000000000209687.Peer-Reviewed Original ResearchConceptsCare scoresUK BiobankWhite matter hyperintensitiesHealth-related behaviorsMarkers of brain healthMiddle-aged personsStroke risk factorsProspective cohort studyMultivariate linear regressionEmpower patientsSilent cerebrovascular diseaseBrain careWhite matter hyperintensities progressionDementia historyHealth declineInvestigate associationsCohort studyBrain healthNeuroimaging markersHigher scoresRisk factorsMean diffusivityCerebrovascular diseaseFractional anisotropyImaging assessmentUncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan
Tran A, Zeevi T, Haider S, Abou Karam G, Berson E, Tharmaseelan H, Qureshi A, Sanelli P, Werring D, Malhotra A, Petersen N, de Havenon A, Falcone G, Sheth K, Payabvash S. Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. Npj Digital Medicine 2024, 7: 26. PMID: 38321131, PMCID: PMC10847454, DOI: 10.1038/s41746-024-01007-w.Peer-Reviewed Original ResearchDeep learning modelsHematoma expansionIntracerebral hemorrhageICH expansionComputed tomographyNon-contrast head CTNon-contrast head computed tomographyHigh risk of HEHead computed tomographyHigh-confidence predictionsRisk of HENon-contrast headReceiver operating characteristic areaModifiable risk factorsMonte Carlo dropoutOperating characteristics areaPotential treatment targetHead CTVisual markersIdentified patientsAutomated deep learning modelDataset of patientsRisk factorsHigh riskPatientsTime-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome
Karam G, Chen M, Zeevi D, Harms B, Torres-Lopez V, Rivier C, Malhotra A, de Havenon A, Falcone G, Sheth K, Payabvash S. Time-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome. Diagnostics 2024, 14: 308. PMID: 38337824, PMCID: PMC10855868, DOI: 10.3390/diagnostics14030308.Peer-Reviewed Original ResearchPredictors of NDSupratentorial intracerebral hemorrhageHematoma expansionIntracerebral hemorrhageNeurological deteriorationPoor outcomeNIH Stroke ScalePost-ICHFunctional outcomesMild symptomsHematoma expansion ratesIntracerebral hemorrhage onsetAssociation of HEModifiable risk factorsGlasgow Coma ScaleBaseline CTHematoma growthConsecutive patientsHead CTSCAN-3Follow-upRate of HEComa ScaleRisk factorsHematoma
2023
Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle‐Aged Individuals Without Stroke or Dementia
Clocchiatti‐Tuozzo S, Rivier C, Renedo D, Lopez V, Geer J, Miner B, Yaggi H, de Havenon A, Payabvash S, Sheth K, Gill T, Falcone G. Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle‐Aged Individuals Without Stroke or Dementia. Journal Of The American Heart Association 2023, 13: e031514. PMID: 38156552, PMCID: PMC10863828, DOI: 10.1161/jaha.123.031514.Peer-Reviewed Original ResearchConceptsSuboptimal sleep durationWhite matter hyperintensitiesMiddle-aged individualsLong sleep durationLarger WMH volumeSleep durationMiddle-aged adultsHealth profileWMH volumeAmerican Heart Association's LifeAsymptomatic middle-aged adultsWMH presenceVolume of WMHOptimal sleepSelf-reported sleep durationModifiable risk factorsWhite matter tractsProspective magnetic resonanceSimple 7Cardiovascular healthRisk factorsShort sleepMatter hyperintensitiesHigh riskEarly interventionAssociation of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank.
Rivier C, Renedo D, de Havenon A, Sunmonu N, Gill T, Payabvash S, Sheth K, Falcone G. Association of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank. Neurology 2023, 102: e208010. PMID: 38165331, PMCID: PMC10870735, DOI: 10.1212/wnl.0000000000208010.Peer-Reviewed Original ResearchConceptsPoor oral healthOral healthBrain healthRisk factorsNeuroimaging markerWMH volumeHealth profileMD scoreSelf-reported poor oral healthCross-sectional neuroimaging studiesFractional anisotropyWhite matter hyperintensity volumeModifiable risk factorsWhite matter injuryPresence of denturesMendelian randomizationMiddle-aged personsFA scoreMiddle-aged participantsLoose teethCardiovascular diseaseHyperintensity volumeBrain MRIModifiable processEarly interventionIdentification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging
de Havenon A, Parasuram N, Crawford A, Mazurek M, Chavva I, Yadlapalli V, Iglesias J, Rosen M, Falcone G, Payabvash S, Sze G, Sharma R, Schiff S, Safdar B, Wira C, Kimberly W, Sheth K. Identification of White Matter Hyperintensities in Routine Emergency Department Visits Using Portable Bedside Magnetic Resonance Imaging. Journal Of The American Heart Association 2023, 12: e029242. PMID: 37218590, PMCID: PMC10381997, DOI: 10.1161/jaha.122.029242.Peer-Reviewed Original ResearchConceptsWhite matter hyperintensitiesMagnetic resonance imagingSevere white matter hyperintensitiesConventional magnetic resonance imagingResonance imagingRetrospective cohortEmergency departmentMatter hyperintensitiesVascular risk factorsProspective observational studyVascular cognitive impairmentTesla magnetic resonance imagingArea Deprivation IndexProspective cohortAdult patientsAcute careRisk factorsCardiovascular diseaseObservational studyCognitive impairmentPatientsCare magnetic resonance imagingIntermodality agreementCohortDeprivation index
2016
Interhemispheric Asymmetry in Distribution of Infarct Lesions among Acute Ischemic Stroke Patients Presenting to Hospital
Payabvash S, Taleb S, Benson JC, McKinney AM. Interhemispheric Asymmetry in Distribution of Infarct Lesions among Acute Ischemic Stroke Patients Presenting to Hospital. Journal Of Stroke And Cerebrovascular Diseases 2016, 25: 2464-2469. PMID: 27373730, DOI: 10.1016/j.jstrokecerebrovasdis.2016.06.019.Peer-Reviewed Original ResearchConceptsRight-sided strokeLeft-sided strokeAcute ischemic stroke patientsEarly clinical outcomesIschemic stroke patientsIschemic infarctInfarct lesionsInsular ribbonVoxel-based analysisClinical outcomesStroke patientsLentiform nucleusScale scoreHealth Stroke Scale scoreModified Rankin Scale scoreSymptom severityStroke risk factorsStroke Scale scoreHours of onsetRankin Scale scoreAcute ischemic infarctRate of treatmentAdmission symptomsSymptomatic infarctsRisk factors