2024
Time-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
Clinical implications of Peri-hematomal edema microperfusion fraction in intracerebral hemorrhage intravoxel incoherent motion imaging – A pilot study
Abou Karam G, Tharmaseelan H, Aboian M, Malhotra A, Gilmore E, Falcone G, de Havenon A, Sheth K, Payabvash S. Clinical implications of Peri-hematomal edema microperfusion fraction in intracerebral hemorrhage intravoxel incoherent motion imaging – A pilot study. Journal Of Stroke And Cerebrovascular Diseases 2023, 32: 107375. PMID: 37738914, PMCID: PMC10591892, DOI: 10.1016/j.jstrokecerebrovasdis.2023.107375.Peer-Reviewed Original ResearchConceptsModified Rankin ScaleSecondary brain injuryIntracerebral hemorrhagePerihematomal edemaSubacute intracerebral hemorrhageIntravoxel incoherent motion imagingAdmission NIHSSBrain injuryMedian baseline National InstitutesPilot studyBaseline National InstitutesHealth Stroke ScalePerfusion fractionSupratentorial intracerebral hemorrhageIVIM metricsIncoherent motion imagingStroke ScaleNeuroprotective therapiesParenchymal injuryRankin ScaleRisk patientsConsecutive patientsUnivariable analysisPoor outcomeICH volume
2016
Prominent cortical and medullary veins on susceptibility-weighted images of acute ischaemic stroke
Payabvash S, Benson JC, Taleb S, Rykken JB, Hoffman B, Oswood MC, McKinney AM. Prominent cortical and medullary veins on susceptibility-weighted images of acute ischaemic stroke. British Journal Of Radiology 2016, 89: 20160714. PMID: 27805839, PMCID: PMC5604931, DOI: 10.1259/bjr.20160714.Peer-Reviewed Original ResearchConceptsAcute ischemic strokeLarger infarct volumesMedullary veinsIschemic strokeInfarct volumeArterial occlusionSusceptibility-weighted imagesConsecutive patientsClinical outcomesCortical veinsProminent cortical veinsPosterior circulation territoryPoor clinical outcomeSeverity of symptomsFair interobserver agreementSWI seriesAcute strokeSymptom onsetIndependent predictorsClinical variablesSWI scansPatientsStrokeImaging implicationsProminent veins
2012
Location-weighted CTP analysis predicts early motor improvement in stroke
Payabvash S, Souza LC, Kamalian S, Wang Y, Passanese J, Kamalian S, Fung SH, Halpern EF, Schaefer PW, Gonzalez RG, Furie KL, Lev MH. Location-weighted CTP analysis predicts early motor improvement in stroke. Neurology 2012, 78: 1853-1859. PMID: 22573641, PMCID: PMC3369521, DOI: 10.1212/wnl.0b013e318258f799.Peer-Reviewed Original ResearchConceptsAcute stroke patientsAdmission NIHSSMotor improvementStroke patientsCT perfusionPredictive valueOnly independent clinical predictorMultivariate binary logistic regressionFrontal lobe white matterMultivariate modelIndependent clinical predictorsMotor functional improvementMotor function improvementNegative predictive valuePositive predictive valueSuperior temporal gyrusBinary logistic regressionExtremity paresisAcute strokeSymptom onsetClinical predictorsConsecutive patientsIndependent predictorsClinical outcomesImaging predictors
2010
Predicting Language Improvement in Acute Stroke Patients Presenting with Aphasia: A Multivariate Logistic Model Using Location-Weighted Atlas-Based Analysis of Admission CT Perfusion Scans
Payabvash S, Kamalian S, Fung S, Wang Y, Passanese J, Kamalian S, Souza LC, Kemmling A, Harris GJ, Halpern EF, González RG, Furie KL, Lev MH. Predicting Language Improvement in Acute Stroke Patients Presenting with Aphasia: A Multivariate Logistic Model Using Location-Weighted Atlas-Based Analysis of Admission CT Perfusion Scans. American Journal Of Neuroradiology 2010, 31: 1661-1668. PMID: 20488905, PMCID: PMC3640318, DOI: 10.3174/ajnr.a2125.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAphasiaBrainComputer SimulationFemaleHumansLogistic ModelsMaleModels, NeurologicalMultivariate AnalysisPattern Recognition, AutomatedPerfusion ImagingPrognosisRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSensitivity and SpecificityStrokeSubtraction TechniqueTomography, X-Ray ComputedConceptsBrain CTPNIHSS scoreStroke onsetFunctional outcomeFirst-time ischemic strokeProximal cerebral artery occlusionMultiple logistic regression analysisMultivariate logistic regression modelMultivariate modelDischarge NIHSS scoreTotal NIHSS scoreAcute stroke patientsCerebral artery occlusionTime of dischargeCT perfusion imagingLogistic regression analysisMultivariate logistic modelCT perfusion scansLogistic regression modelsAdmission CTAArtery occlusionInfarct volumeIschemic strokeClinical predictorsConsecutive patients