2021
Similar admission NIHSS may represent larger tissue-at-risk in patients with right-sided versus left-sided large vessel occlusion
Mak A, Matouk C, Avery EW, Behland J, Frey D, Madai VI, Vajkoczy P, Malhotra A, Karam A, Sanelli P, Falcone GJ, Petersen NH, Sansing L, Sheth KN, Payabvash S. Similar admission NIHSS may represent larger tissue-at-risk in patients with right-sided versus left-sided large vessel occlusion. Journal Of NeuroInterventional Surgery 2021, 14: 985-991. PMID: 34645705, DOI: 10.1136/neurintsurg-2021-017785.Peer-Reviewed Original ResearchConceptsLarge vessel occlusionFinal infarct volumeLarger final infarct volumeWorse discharge outcomesInfarct volumeAdmission NIHSSDischarge outcomesVessel occlusionScale scoreMultivariate analysisAnterior large vessel occlusionLower admission NIHSS scoreHealth Stroke Scale scoreAdmission National InstitutesAdmission stroke severityPoor discharge outcomeStroke Scale scoreLarger infarct volumesAdmission NIHSS scoreRankin Scale scoreVoxel-wise analysisIncomplete reperfusionInfarct distributionOcclusion sideNIHSS score
2017
Multivariate Prognostic Model of Acute Stroke Combining Admission Infarct Location and Symptom Severity: A Proof-of-Concept Study
Payabvash S, Benson JC, Tyan AE, Taleb S, McKinney AM. Multivariate Prognostic Model of Acute Stroke Combining Admission Infarct Location and Symptom Severity: A Proof-of-Concept Study. Journal Of Stroke And Cerebrovascular Diseases 2017, 27: 936-944. PMID: 29198948, DOI: 10.1016/j.jstrokecerebrovasdis.2017.10.034.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overArea Under CurveBrainBrain IschemiaBrain MappingDatabases, FactualDecision Support TechniquesDiffusion Magnetic Resonance ImagingDisability EvaluationFemaleHumansLogistic ModelsMaleMesencephalonMiddle AgedMultivariate AnalysisOdds RatioPatient AdmissionPonsPredictive Value of TestsProof of Concept StudyReproducibility of ResultsRetrospective StudiesRisk FactorsROC CurveSeverity of Illness IndexStrokeTime FactorsTreatment OutcomeConceptsDisability/deathMidbrain/ponsAcute ischemic stroke patientsIschemic stroke patientsAdmission NIHSS scoreStroke patientsNIHSS scoreIndependent predictorsInfarct locationScale scoreHealth Stroke Scale scoreHigher admission NIHSS scoresModified Rankin Scale scoreSymptom severityAdmission stroke severityBaseline functional disabilityLarger infarct volumesStroke Scale scoreRankin Scale scoreHours of onsetAcute ischemic infarctMultivariate prognostic modelMajor arterial occlusionHypothesis-generating studyVoxel-based analysis
2016
Clinical implications of eye deviation on admission CT examination of acute ischaemic stroke patients
Payabvash S, Qureshi I, Qureshi AI. Clinical implications of eye deviation on admission CT examination of acute ischaemic stroke patients. Clinical Radiology 2016, 71: 1314.e11-1314.e15. PMID: 27592397, DOI: 10.1016/j.crad.2016.08.002.Peer-Reviewed Original ResearchConceptsAlberta Stroke Program Early CT ScoreAcute ischemic stroke patientsIschemic stroke patientsHigher admission NIHSS scoresAdmission NIHSS scoreEye deviationStroke patientsNIHSS scoreHaemorrhagic transformationCT examinationsLow Alberta Stroke Program Early CT ScoreScale scoreHealth Stroke Scale scoreOlder ageAdmission CT examinationAdmission National InstitutesPatients' older ageStroke Scale scoreHigh rateRankin Scale scoreInfarct volumeMRS scoreAdmission CTCT scorePrognostic valueClinical diffusion mismatch better discriminates infarct growth than mean transit time–diffusion weighted imaging mismatch in patients with middle cerebral artery–M1 occlusion and limited infarct core
Nogueira RG, Kemmling A, Souza LM, Payabvash S, Hirsch JA, Yoo AJ, Lev MH. Clinical diffusion mismatch better discriminates infarct growth than mean transit time–diffusion weighted imaging mismatch in patients with middle cerebral artery–M1 occlusion and limited infarct core. Journal Of NeuroInterventional Surgery 2016, 9: 127. PMID: 26957483, DOI: 10.1136/neurintsurg-2014-011602.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCerebral AngiographyCerebral InfarctionCerebrovascular CirculationDiffusion Magnetic Resonance ImagingDisease ProgressionFemaleHumansImage Processing, Computer-AssistedInfarction, Middle Cerebral ArteryMalePredictive Value of TestsRetrospective StudiesStrokeTomography, X-Ray ComputedConceptsClinical-diffusion mismatchMCA M1 occlusionAdmission Alberta Stroke Program Early CT scoreSmall infarct coreBaseline NIHSS scoreInfarct growthNIHSS scoreInfarct coreDiffusion mismatchDWI volumeStroke patientsAlberta Stroke Program Early CT ScoreMiddle cerebral artery M1 occlusionProximal middle cerebral artery occlusionMiddle cerebral artery occlusionMTT lesionsUni-/multivariate analysesBaseline National InstitutesHealth Stroke ScaleAdmission NIHSS scoreCerebral artery occlusionConsecutive stroke patientsOnly independent predictorDWI lesionsStroke Scale
2012
Malignant CTA Collateral Profile Is Highly Specific for Large Admission DWI Infarct Core and Poor Outcome in Acute Stroke
Souza LC, Yoo AJ, Chaudhry ZA, Payabvash S, Kemmling A, Schaefer PW, Hirsch JA, Furie KL, González RG, Nogueira RG, Lev MH. Malignant CTA Collateral Profile Is Highly Specific for Large Admission DWI Infarct Core and Poor Outcome in Acute Stroke. American Journal Of Neuroradiology 2012, 33: 1331-1336. PMID: 22383238, PMCID: PMC3888794, DOI: 10.3174/ajnr.a2985.Peer-Reviewed Original ResearchConceptsDWI lesion volumeLesion volumeDWI volumeNIHSS scorePoor outcomeHigher median NIHSS scoresROC analysisDWI lesion sizeLarger DWI volumeMedian NIHSS scoreAcute stroke treatmentAdmission NIHSS scoreOnly independent predictorPoor functional outcomeIntracranial ICA occlusionCTA collateralsAcute strokeICA occlusionProximal occlusionIndependent predictorsStroke treatmentInfarct sizeClinical variablesFunctional outcomeInfarct core
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