2022
Bedside detection of intracranial midline shift using portable magnetic resonance imaging
Sheth KN, Yuen MM, Mazurek MH, Cahn BA, Prabhat AM, Salehi S, Shah JT, By S, Welch EB, Sofka M, Sacolick LI, Kim JA, Payabvash S, Falcone GJ, Gilmore EJ, Hwang DY, Matouk C, Gordon-Kundu B, RN AW, Petersen N, Schindler J, Gobeske KT, Sansing LH, Sze G, Rosen MS, Kimberly WT, Kundu P. Bedside detection of intracranial midline shift using portable magnetic resonance imaging. Scientific Reports 2022, 12: 67. PMID: 34996970, PMCID: PMC8742125, DOI: 10.1038/s41598-021-03892-7.Peer-Reviewed Original ResearchConceptsMidline shiftNeuroscience intensive care unitCare measurementYale-New Haven HospitalValuable bedside toolIntensive care unitPoor clinical outcomeBrain-injured patientsMass effectNew Haven HospitalMagnetic resonance imagingClinical outcomesIll patientsCare unitStroke patientsFunctional outcomeBedside toolObservational studyBedside detectionImaging examsPatientsResonance imagingPortable MRIImaging suiteSignificant concordance
2021
The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volume
Haider SP, Qureshi AI, Jain A, Tharmaseelan H, Berson ER, Majidi S, Filippi CG, Mak A, Werring DJ, Acosta JN, Malhotra A, Kim JA, Sansing LH, Falcone G, Sheth K, Payabvash S. The coronal plane maximum diameter of deep intracerebral hemorrhage predicts functional outcome more accurately than hematoma volume. International Journal Of Stroke 2021, 17: 777-784. PMID: 34569877, PMCID: PMC9005571, DOI: 10.1177/17474930211050749.Peer-Reviewed Original ResearchAdmission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH‐2 trial intracerebral hemorrhage population
Haider SP, Qureshi AI, Jain A, Tharmaseelan H, Berson ER, Zeevi T, Majidi S, Filippi CG, Iseke S, Gross M, Acosta JN, Malhotra A, Kim JA, Sansing LH, Falcone GJ, Sheth KN, Payabvash S. Admission computed tomography radiomic signatures outperform hematoma volume in predicting baseline clinical severity and functional outcome in the ATACH‐2 trial intracerebral hemorrhage population. European Journal Of Neurology 2021, 28: 2989-3000. PMID: 34189814, PMCID: PMC8818333, DOI: 10.1111/ene.15000.Peer-Reviewed Original ResearchConceptsAdmission Glasgow Coma ScaleGlasgow Coma ScaleRadiomics signatureMRS scoreHematoma volumeICH volumeClinical severityNoncontrast head CT scansAdmission National InstitutesHealth Stroke ScaleRankin Scale scoreStrong associationBaseline clinical severityMedium-term outcomesIndependent validation cohortHead CT scanATACH-2 trialStroke ScaleAdmission NIHSSIndependent predictorsClinical presentationComa ScaleBaseline CTICH patientsValidation cohortEarly head CT in post-cardiac arrest patients: A helpful tool or contributor to self-fulfilling prophecy?
Beekman R, Maciel CB, Ormseth CH, Zhou SE, Galluzzo D, Miyares LC, Torres-Lopez VM, Payabvash S, Mak A, Greer DM, Gilmore EJ. Early head CT in post-cardiac arrest patients: A helpful tool or contributor to self-fulfilling prophecy? Resuscitation 2021, 165: 68-76. PMID: 34147572, DOI: 10.1016/j.resuscitation.2021.06.004.Peer-Reviewed Original ResearchConceptsGray-white matter ratioHCT findingsArrest patientsInter-rater reliabilityPost-cardiac arrest patientsTertiary care academic medical centerEarly head CTPost-CA carePost-CA patientsCardiac arrest patientsHalf of casesAcademic medical centerElectronic medical recordsWithdrawal of lifeNeurophysiologic testingSpontaneous circulationInjury burdenMedical recordsHead CTTherapeutic decisionsMedical CenterPatientsNeurointensivistsHctTemperature managementImaging of Spontaneous Intracerebral Hemorrhage
Jain A, Malhotra A, Payabvash S. Imaging of Spontaneous Intracerebral Hemorrhage. Neuroimaging Clinics Of North America 2021, 31: 193-203. PMID: 33902874, PMCID: PMC8820948, DOI: 10.1016/j.nic.2021.02.003.Peer-Reviewed Original ResearchConceptsIntracerebral hemorrhageSpontaneous intracerebral hemorrhageStroke incidenceLatest evidence-based guidelinesNontraumatic spontaneous intracerebral hemorrhageHemorrhagic stroke incidenceOverall stroke incidenceIdentification of patientsEvidence-based guidelinesClinical outcome predictionMorbidity rateHematoma expansionTreatment strategiesFirst monthOutcome predictionHemorrhageMortalityIncidenceFirst yearPatientsStrokeNeuroimagingMonths
2016
Topographic Assessment of Acute Ischemic Changes for Prognostication of Anterior Circulation Stroke
Payabvash S, Noorbaloochi S, Qureshi AI. Topographic Assessment of Acute Ischemic Changes for Prognostication of Anterior Circulation Stroke. Journal Of Neuroimaging 2016, 27: 227-231. PMID: 27593522, DOI: 10.1111/jon.12383.Peer-Reviewed Original ResearchConceptsAlberta Stroke Program Early CT ScoreDisability/deathAnterior circulation strokeAcute ischemic changesSymptomatic intracranial hemorrhageIntracranial hemorrhageIschemic changesIndependent predictorsFavorable outcomeIntravenous thrombolytic therapyCT/MRI scansRankin Scale scoreEarly ischemic changesAcute ischemic infarctTopographic assessmentIschemic infarctAdmission CTClinical outcomesStroke patientsThrombolytic therapyCT scoreLentiform nucleusTomography scanImproved outcomesPrognostic tool
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
Admission 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