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
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 Research
2019
Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma.
Kann BH, Hicks DF, Payabvash S, Mahajan A, Du J, Gupta V, Park HS, Yu JB, Yarbrough WG, Burtness BA, Husain ZA, Aneja S. Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma. Journal Of Clinical Oncology 2019, 38: 1304-1311. PMID: 31815574, DOI: 10.1200/jco.19.02031.Peer-Reviewed Original ResearchConceptsNeck squamous cell carcinomaExtranodal extensionSquamous cell carcinomaLymph nodesCell carcinomaContrast-enhanced CT scanDiagnostic abilityBoard-certified neuroradiologistsTreatment escalationCancer Genome AtlasPathologic confirmationPretreatment identificationDiagnostic challengeExternal validation data setsPathology resultsPretreatment imagingPoor prognosticatorClinical utilityCT scanPatientsClinical decisionHNSCCDiagnostic accuracyInstitutional ValidationGenome Atlas
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
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
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 scansLesionsStrokeCT Cerebral Blood Flow Maps Optimally Correlate With Admission Diffusion-Weighted Imaging in Acute Stroke but Thresholds Vary by Postprocessing Platform
Kamalian S, Kamalian S, Maas MB, Goldmacher GV, Payabvash S, Akbar A, Schaefer PW, Furie KL, Gonzalez RG, Lev MH. CT Cerebral Blood Flow Maps Optimally Correlate With Admission Diffusion-Weighted Imaging in Acute Stroke but Thresholds Vary by Postprocessing Platform. Stroke 2011, 42: 1923-1928. PMID: 21546490, PMCID: PMC3125441, DOI: 10.1161/strokeaha.110.610618.Peer-Reviewed Original ResearchConceptsDiffusion-weighted imagingCT perfusion parametersAcute strokeCT perfusionInfarct coreAdmission diffusion-weighted imagingPerfusion parametersCerebral blood flowCerebral blood flow mapsCerebral blood volumeCharacteristic curve analysisAdmission CT perfusionBlood flow mapsUninvolved hemisphere