2016
CT Perfusion in Acute Lacunar Stroke: Detection Capabilities Based on Infarct Location
Benson JC, Payabvash S, Mortazavi S, Zhang L, Salazar P, Hoffman B, Oswood M, McKinney AM. CT Perfusion in Acute Lacunar Stroke: Detection Capabilities Based on Infarct Location. American Journal Of Neuroradiology 2016, 37: 2239-2244. PMID: 27538902, PMCID: PMC7963880, DOI: 10.3174/ajnr.a4904.Peer-Reviewed Original Research
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
2011
CT Perfusion Mean Transit Time Maps Optimally Distinguish Benign Oligemia from True “At-Risk” Ischemic Penumbra, but Thresholds Vary by Postprocessing Technique
Kamalian S, Kamalian S, Konstas AA, Maas MB, Payabvash S, Pomerantz SR, Schaefer PW, Furie KL, González RG, Lev MH. CT Perfusion Mean Transit Time Maps Optimally Distinguish Benign Oligemia from True “At-Risk” Ischemic Penumbra, but Thresholds Vary by Postprocessing Technique. American Journal Of Neuroradiology 2011, 33: 545-549. PMID: 22194372, PMCID: PMC3746025, DOI: 10.3174/ajnr.a2809.Peer-Reviewed Original ResearchConceptsAcute stroke patientsLarge vessel occlusionBenign oligemiaStroke patientsIschemic penumbraCTP parametersRelative cerebral blood flowConsecutive stroke patientsHours of onsetCerebral blood flowMean transit time mapsCharacteristic curve analysisTransit time mapsUninvolved hemisphereRadiographic evidenceThrombolytic therapyFinal infarctVessel occlusionRelative MTTBlood flowCTP mapsPerfusion parametersOligemiaReperfusionPatientsAdmission CT Perfusion Is an Independent Predictor of Hemorrhagic Transformation in Acute Stroke with Similar Accuracy to DWI
Souza LC, Payabvash S, Wang Y, Kamalian S, Schaefer P, Gonzalez RG, Furie KL, Lev MH. Admission CT Perfusion Is an Independent Predictor of Hemorrhagic Transformation in Acute Stroke with Similar Accuracy to DWI. Cerebrovascular Diseases 2011, 33: 8-15. PMID: 22143195, PMCID: PMC3250646, DOI: 10.1159/000331914.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBostonCerebrovascular CirculationChi-Square DistributionDiffusion Magnetic Resonance ImagingFemaleHumansIntracranial HemorrhagesLogistic ModelsMaleMiddle AgedMultivariate AnalysisPatient AdmissionPerfusion ImagingPredictive Value of TestsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsROC CurveStrokeTomography, X-Ray ComputedConceptsRelative mean transit timeAdmission CT perfusionDiffusion-weighted imagingPredictors of HTRelative cerebral blood flowHemorrhagic transformationCT perfusionAcute strokeIndependent predictorsTissue volumeAdmission diffusion-weighted imagingConsecutive stroke patientsOnly independent predictorCerebral blood flowIschemic hemisphereMechanical thrombectomyStroke patientsInfarct coreMean transit timeBlood flowTest characteristicsCurve analysisDWI scansLesionsStroke
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