2024
Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion
Mak A, Matouk C, Avery E, Behland J, Haider S, Frey D, Madai V, Vajkoczy P, Griessenauer C, Zand R, Hendrix P, Abedi V, Sanelli P, Falcone G, Petersen N, Sansing L, Sheth K, Payabvash S, Malhotra A. Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion. PLOS ONE 2024, 19: e0304962. PMID: 38870240, PMCID: PMC11175522, DOI: 10.1371/journal.pone.0304962.Peer-Reviewed Original ResearchConceptsDiffusion-weighted imagingLarge vessel occlusionIrreversible ischemic changesPoor functional outcomeFunctional outcomesIschemic changesInfarct volumeAlberta Stroke Program Early CT ScorePredicting poor functional outcomeVessel occlusionFollow-up diffusion-weighted imagingAnterior circulation LVO strokeCTA source imagesReceiver operating characteristic curveExpert human readersPredicting final infarctionASPECTS regionsAdmission CTANon-inferior performanceBaseline CTACT scoreFinal infarctEndovascular therapyHU attenuationValidation cohort
2022
Brain injury patterns in hypoxic ischemic encephalopathy of term neonates
Bobba PS, Malhotra A, Sheth KN, Taylor SN, Ment LR, Payabvash S. Brain injury patterns in hypoxic ischemic encephalopathy of term neonates. Journal Of Neuroimaging 2022, 33: 79-84. PMID: 36164277, DOI: 10.1111/jon.13052.Peer-Reviewed Original ResearchConceptsSevere hypoxic-ischemic encephalopathyHypoxic-ischemic encephalopathyHypoxic-ischemic lesionsSeverity of HIEModerate hypoxic-ischemic encephalopathyTerm neonatesIschemic lesionsDiffusion-weighted imagingBasal gangliaDiagnosis of HIESeverity categoriesBrain injury patternsDeep white matterMRI diffusion-weighted imagingT2-weighted imagesPresence of lesionsVoxel-wise analysisRespiration (APGAR) scoreInfarct volumeStandard brain spaceIschemic encephalopathyInjury patternsBrain injuryLentiform nucleusLesion volume
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
2020
Effects of Collateral Status on Infarct Distribution Following Endovascular Therapy in Large Vessel Occlusion Stroke
Al-Dasuqi K, Payabvash S, Torres-Flores GA, Strander SM, Nguyen CK, Peshwe KU, Kodali S, Silverman A, Malhotra A, Johnson MH, Matouk CC, Schindler JL, Sansing LH, Falcone GJ, Sheth KN, Petersen NH. Effects of Collateral Status on Infarct Distribution Following Endovascular Therapy in Large Vessel Occlusion Stroke. Stroke 2020, 51: e193-e202. PMID: 32781941, PMCID: PMC7484023, DOI: 10.1161/strokeaha.120.029892.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overArterial Occlusive DiseasesCerebral InfarctionCohort StudiesCollateral CirculationComputed Tomography AngiographyEndovascular ProceduresFemaleHumansInfarction, Middle Cerebral ArteryLinear ModelsMagnetic Resonance AngiographyMaleMiddle AgedReperfusionRetrospective StudiesStrokeThrombectomyTreatment OutcomeWhite MatterConceptsLarge vessel occlusion strokeFinal infarct volumeCollateral statusPoor collateral statusFavorable outcomeInfarct distributionInfarct volumeReperfusion successIndependent predictorsOcclusion strokeInternal capsuleAnterior circulation large vessel occlusion ischemic strokeLarge vessel occlusion ischemic strokeDeep white matter tractsBaseline collateral statusBorder-zone infarctionEarly favorable outcomeEarly functional outcomesRankin Scale scoreCohort of patientsDegree of reperfusionLarge vessel occlusionComputed tomography angiographyDeep white matterMagnetic resonance imaging
2019
Poor Outcomes Related to Anterior Extension of Large Hemispheric Infarction: Topographic Analysis of GAMES-RP Trial MRI Scans
Payabvash S, Falcone GJ, Sze GK, Jain A, Beslow LA, Petersen NH, Sheth KN, Kimberly WT. Poor Outcomes Related to Anterior Extension of Large Hemispheric Infarction: Topographic Analysis of GAMES-RP Trial MRI Scans. Journal Of Stroke And Cerebrovascular Diseases 2019, 29: 104488. PMID: 31787498, PMCID: PMC8820410, DOI: 10.1016/j.jstrokecerebrovasdis.2019.104488.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, IntravenousAgedAnterior Cerebral ArteryCerebrovascular CirculationCerebrumClinical Trials as TopicClinical Trials, Phase II as TopicDiffusion Magnetic Resonance ImagingDisability EvaluationExtremitiesFemaleGlyburideHumansHypoglycemic AgentsInfarction, Anterior Cerebral ArteryInfarction, Middle Cerebral ArteryMaleMiddle AgedMiddle Cerebral ArteryPatient AdmissionPredictive Value of TestsRecovery of FunctionRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsLarge hemispheric infarctionInfarct volumeIndependent predictorsInfarct lesionsHemispheric infarctionHealth Stroke Scale total scorePost-stroke day 3Anterior cerebral artery territoryTotal scoreLeft MCA infarctLeg motor functionNIHSS total scoreHours of onsetOnly independent predictorPoor functional outcomeBorder zoneScale total scoreAnterior extensionMultivariate regression analysisVoxel-wise analysisLHI patientsAdmission NIHSSArtery territoryGlibenclamide treatmentMCA infarct
2017
Cerebral regions preserved by successful endovascular recanalization of acute M1 segment occlusions: a voxel based analysis
Payabvash S, Taleb S, Qureshi AI. Cerebral regions preserved by successful endovascular recanalization of acute M1 segment occlusions: a voxel based analysis. British Journal Of Radiology 2017, 90: 20160869. PMID: 28165757, PMCID: PMC5605076, DOI: 10.1259/bjr.20160869.Peer-Reviewed Original ResearchConceptsM1 segment occlusionDisability/deathSuccessful endovascular recanalizationVoxel-based analysisFinal infarct volumeSuccessful recanalizationSegment occlusionInfarct volumeFavorable outcomePrecentral gyrusCerebral regionsEndovascular recanalizationEndovascular treatmentInsular ribbonSmaller final infarct volumesDays post-symptom onsetMiddle cerebral artery M1 segmentModified Rankin Scale scoreCerebral Infarction scoreTimely reperfusion treatmentEarly clinical outcomesHigh ratePost-symptom onsetSmaller infarct volumesRankin Scale score
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 veinsClinical 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 value
2015
Comparison of CT perfusion summary maps to early diffusion-weighted images in suspected acute middle cerebral artery stroke
Benson J, Payabvash S, Salazar P, Jagadeesan B, Palmer CS, Truwit CL, McKinney AM. Comparison of CT perfusion summary maps to early diffusion-weighted images in suspected acute middle cerebral artery stroke. European Journal Of Radiology 2015, 84: 682-689. PMID: 25623829, DOI: 10.1016/j.ejrad.2014.12.026.Peer-Reviewed Original ResearchConceptsAlberta Stroke Program Early CT ScoreASPECTS scoreAcute middle cerebral artery strokeMiddle cerebral artery strokeAge-matched patientsDWI infarct volumeDiffusion-weighted imagingInfarct volumePositive patientsSymptom onsetArtery strokeCT scoreDiffusion-weighted imagesInfarct coreCTP examinationDWI volumePatientsDWIInfarctsScores
2013
Admission Insular Infarction >25% Is the Strongest Predictor of Large Mismatch Loss in Proximal Middle Cerebral Artery Stroke
Kamalian S, Kemmling A, Borgie RC, Morais LT, Payabvash S, Franceschi AM, Kamalian S, Yoo AJ, Furie KL, Lev MH. Admission Insular Infarction >25% Is the Strongest Predictor of Large Mismatch Loss in Proximal Middle Cerebral Artery Stroke. Stroke 2013, 44: 3084-3089. PMID: 23988643, PMCID: PMC3894265, DOI: 10.1161/strokeaha.113.002260.Peer-Reviewed Original ResearchConceptsInfarct volumeInsular infarctionHealth Stroke Scale scoreMiddle cerebral artery infarctConsecutive acute stroke patientsMiddle cerebral artery strokeProximal middle cerebral arteryRapid reperfusion therapyTreatment-eligible patientsAcute stroke patientsStroke Scale scoreFinal infarct volumeMiddle cerebral arteryStrongest predictorCharacteristic curve areaExcellent interobserver agreementDiffusion-weighted imaging imagesBinary logistic regressionArtery infarctInfarct progressionOcclusive strokePenumbral tissueReperfusion therapyCollateral scoreIndependent 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