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 cohortDiffusion‐Weighted Imaging Fluid‐Attenuated Inversion Recovery Mismatch on Portable, Low‐Field Magnetic Resonance Imaging Among Acute Stroke Patients
Sorby‐Adams A, Guo J, de Havenon A, Payabvash S, Sze G, Pinter N, Jaikumar V, Siddiqui A, Baldassano S, Garcia‐Guarniz A, Zabinska J, Lalwani D, Peasley E, Goldstein J, Nelson O, Schaefer P, Wira C, Pitts J, Lee V, Muir K, Nimjee S, Kirsch J, Iglesias J, Rosen M, Sheth K, Kimberly W. Diffusion‐Weighted Imaging Fluid‐Attenuated Inversion Recovery Mismatch on Portable, Low‐Field Magnetic Resonance Imaging Among Acute Stroke Patients. Annals Of Neurology 2024, 96: 321-331. PMID: 38738750, PMCID: PMC11293843, DOI: 10.1002/ana.26954.Peer-Reviewed Original ResearchStroke patientsAcute ischemic strokeCut-pointsIschemic strokeStroke patients <Diagnosis of acute ischemic strokeSignal intensity ratioFluid-attenuated inversion recoveryAcute stroke patientsOptimal cut-pointMagnetic resonance imagingDiffusion-weighted imagingDWI-FLAIR mismatchStroke onsetTrained assessorsNational InstituteStrokeThrombolytic interventionNegative predictive valueFLAIR hyperintensitiesPatientsInterobserver agreementHyperacute strokeDiffusion-weightedPredictive value
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 volumeAge‐related topographic map of magnetic resonance diffusion metrics in neonatal brains
Bobba PS, Weber CF, Mak A, Mozayan A, Malhotra A, Sheth KN, Taylor SN, Vossough A, Grant PE, Scheinost D, Constable RT, Ment LR, Payabvash S. Age‐related topographic map of magnetic resonance diffusion metrics in neonatal brains. Human Brain Mapping 2022, 43: 4326-4334. PMID: 35599634, PMCID: PMC9435001, DOI: 10.1002/hbm.25956.Peer-Reviewed Original ResearchConceptsGestational ageCerebellar white matterWhite matterNeonatal brainDiffusion-weighted imagingCorpus callosumMD valuesCorpus callosum myelinationLower gestational ageTerm-equivalent ageSubcortical white matterFA/MDApparent diffusion coefficient (ADC) valuesMonths of ageDiffusion tensor imaging (DTI) metricsDiffusion metricsAge-related evolutionAge-related changesAge-specific normative valuesNeonatal ageBrain parenchymaCorticospinal tractNeonate brainDiffusivity metricsADC values
2019
Differentiation of lymphomatous, metastatic, and non-malignant lymphadenopathy in the neck with quantitative diffusion-weighted imaging: systematic review and meta-analysis
Payabvash S, Brackett A, Forghani R, Malhotra A. Differentiation of lymphomatous, metastatic, and non-malignant lymphadenopathy in the neck with quantitative diffusion-weighted imaging: systematic review and meta-analysis. Neuroradiology 2019, 61: 897-910. PMID: 31175398, DOI: 10.1007/s00234-019-02236-7.Peer-Reviewed Original ResearchConceptsCervical lymph nodesAverage apparent diffusion coefficientStandardized mean differenceLymph nodesNon-malignant nodesDiagnostic odds ratioCervical lymphadenopathySubgroup analysisADC thresholdSystematic reviewSuspicious cervical lymph nodesUnknown primary cancer siteMean differenceNon-malignant lymphadenopathyCochrane Central RegisterNeck lymph nodesPrimary cancer siteConfidence intervalsSROC AUCRandom-effects modelComprehensive literature searchAverage ADC valueDiffusion-weighted imagingQuantitative diffusion-weighted imagingCentral RegisterQuantitative diffusion magnetic resonance imaging for prediction of human papillomavirus status in head and neck squamous-cell carcinoma: A systematic review and meta-analysis
Payabvash S, Chan A, Maralani P, Malhotra A. Quantitative diffusion magnetic resonance imaging for prediction of human papillomavirus status in head and neck squamous-cell carcinoma: A systematic review and meta-analysis. The Neuroradiology Journal 2019, 32: 232-240. PMID: 31084347, PMCID: PMC6639646, DOI: 10.1177/1971400919849808.Peer-Reviewed Original ResearchConceptsNeck squamous cell carcinomaDiffusion-weighted imagingHPV-positive HNSCCSquamous cell carcinomaHPV-negative HNSCCPrimary tumor lesionsStandardized mean differenceQuantitative diffusion magnetic resonancePrimary lesionHPV statusTumor lesionsAverage ADCDiffusion magnetic resonanceMean differenceHiggins' inconsistency indexHuman papillomavirus (HPV) statusHuman papillomavirus infectionApparent diffusion coefficient (ADC) valuesRandom-effects modelNoninvasive imaging biomarkerComprehensive literature searchAverage ADC valueEcho-planar diffusion-weighted imagingFixed-effects modelPapillomavirus infection
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
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 hemisphereRegional Ischemic Vulnerability of the Brain to Hypoperfusion
Payabvash S, Souza LC, Wang Y, Schaefer PW, Furie KL, Halpern EF, Gonzalez RG, Lev MH. Regional Ischemic Vulnerability of the Brain to Hypoperfusion. Stroke 2011, 42: 1255-1260. PMID: 21493917, PMCID: PMC3090217, DOI: 10.1161/strokeaha.110.600940.Peer-Reviewed Original ResearchConceptsIschemic vulnerabilityStroke patientsInfarct coreRCBF thresholdAdmission diffusion-weighted imagingCerebral blood flow reductionAcute stroke patientsIschemic stroke onsetBlood flow reductionAdmission CT perfusionDiffusion-weighted imagingCT perfusion mapsStroke onsetRCBF reductionCT perfusionBrain lesionsInferior frontal gyrusParacentral lobuleCaudate bodyInsular ribbonPerfusion parameter mapsHypoperfusionSubcortical regionsPatientsRCBF