2024
Brain Care Score and Neuroimaging Markers of Brain Health in Asymptomatic Middle-Age Persons
Rivier C, Singh S, Senff J, Tack R, Marini S, Clocchiatti-Tuozzo S, Huo S, Renedo D, Papier K, Conroy M, Littlejohns T, Chemali Z, Kourkoulis C, Payabvash S, Newhouse A, Westover M, Lazar R, Pikula A, Ibrahim S, Howard V, Howard G, Brouwers H, Van Duijn C, Fricchione G, Tanzi R, Yechoor N, Sheth K, Anderson C, Rosand J, Falcone G. Brain Care Score and Neuroimaging Markers of Brain Health in Asymptomatic Middle-Age Persons. Neurology 2024, 103: e209687. PMID: 39052961, DOI: 10.1212/wnl.0000000000209687.Peer-Reviewed Original ResearchConceptsCare scoresUK BiobankWhite matter hyperintensitiesHealth-related behaviorsMarkers of brain healthMiddle-aged personsStroke risk factorsProspective cohort studyMultivariate linear regressionEmpower patientsSilent cerebrovascular diseaseBrain careWhite matter hyperintensities progressionDementia historyHealth declineInvestigate associationsCohort studyBrain healthNeuroimaging markersHigher scoresRisk factorsMean diffusivityCerebrovascular diseaseFractional anisotropyImaging assessment
2023
Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle‐Aged Individuals Without Stroke or Dementia
Clocchiatti‐Tuozzo S, Rivier C, Renedo D, Lopez V, Geer J, Miner B, Yaggi H, de Havenon A, Payabvash S, Sheth K, Gill T, Falcone G. Suboptimal Sleep Duration Is Associated With Poorer Neuroimaging Brain Health Profiles in Middle‐Aged Individuals Without Stroke or Dementia. Journal Of The American Heart Association 2023, 13: e031514. PMID: 38156552, PMCID: PMC10863828, DOI: 10.1161/jaha.123.031514.Peer-Reviewed Original ResearchConceptsSuboptimal sleep durationWhite matter hyperintensitiesMiddle-aged individualsLong sleep durationLarger WMH volumeSleep durationMiddle-aged adultsHealth profileWMH volumeAmerican Heart Association's LifeAsymptomatic middle-aged adultsWMH presenceVolume of WMHOptimal sleepSelf-reported sleep durationModifiable risk factorsWhite matter tractsProspective magnetic resonanceSimple 7Cardiovascular healthRisk factorsShort sleepMatter hyperintensitiesHigh riskEarly interventionAssociation of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank.
Rivier C, Renedo D, de Havenon A, Sunmonu N, Gill T, Payabvash S, Sheth K, Falcone G. Association of Poor Oral Health With Neuroimaging Markers of White Matter Injury in Middle-Aged Participants in the UK Biobank. Neurology 2023, 102: e208010. PMID: 38165331, PMCID: PMC10870735, DOI: 10.1212/wnl.0000000000208010.Peer-Reviewed Original ResearchConceptsPoor oral healthOral healthBrain healthRisk factorsNeuroimaging markerWMH volumeHealth profileMD scoreSelf-reported poor oral healthCross-sectional neuroimaging studiesFractional anisotropyWhite matter hyperintensity volumeModifiable risk factorsWhite matter injuryPresence of denturesMendelian randomizationMiddle-aged personsFA scoreMiddle-aged participantsLoose teethCardiovascular diseaseHyperintensity volumeBrain MRIModifiable processEarly interventionValue Proposition of FDA-Approved Artificial Intelligence Algorithms for Neuroimaging
Bajaj S, Khunte M, Moily N, Payabvash S, Wintermark M, Gandhi D, Malhotra A. Value Proposition of FDA-Approved Artificial Intelligence Algorithms for Neuroimaging. Journal Of The American College Of Radiology 2023, 20: 1241-1249. PMID: 37574094, DOI: 10.1016/j.jacr.2023.06.034.Peer-Reviewed Original ResearchMeSH KeywordsAcademies and InstitutesAlgorithmsArtificial IntelligenceComputed Tomography AngiographyHumansNeuroimagingConceptsArtificial intelligence algorithmsAI algorithmsIntelligence algorithmsValue propositionUser timeAI developersMost vendorsProduct informationDevelopersAlgorithmVendorsProduct websitesDeveloper websitesWebsitesUser testimonialsCentral databaseTechnologyDatabaseInformationAIDevicesAdoptionPropositionCostAssociation of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018
Kaltenhauser S, Weber C, Lin H, Mozayan A, Malhotra A, Constable R, Acosta J, Falcone G, Taylor S, Ment L, Sheth K, Payabvash S. Association of Body Mass Index and Waist Circumference With Imaging Metrics of Brain Integrity and Functional Connectivity in Children Aged 9 to 10 Years in the US, 2016-2018. JAMA Network Open 2023, 6: e2314193. PMID: 37200030, PMCID: PMC10196880, DOI: 10.1001/jamanetworkopen.2023.14193.Peer-Reviewed Original ResearchConceptsBody mass indexHigher body mass indexWaist circumferenceBMI z-scoreCross-sectional studyBrain healthCross-sectional analysisFunctional connectivityMass indexMean ageInterval developmentCorpus callosumAssociation of BMIHigher baseline body mass indexBaseline cross-sectional analysisBaseline body mass indexBrain integrityResting-state functional connectivityLongitudinal analysisFuture treatment trialsABCD studyLower microstructural integrityCognitive Development StudyAdolescent Brain Cognitive Development (ABCD) studyCardiovascular implicationsArtificial Intelligence for Neuroimaging and Musculoskeletal Radiology: Overview of Current Commercial Algorithms
Berson E, Aboian M, Malhotra A, Payabvash S. Artificial Intelligence for Neuroimaging and Musculoskeletal Radiology: Overview of Current Commercial Algorithms. Seminars In Roentgenology 2023, 58: 178-183. PMID: 37087138, PMCID: PMC10122717, DOI: 10.1053/j.ro.2023.03.002.Peer-Reviewed Original ResearchFuture of Neurology & Technology: Neuroimaging Made Accessible Using Low-Field, Portable MRI
Parasuram N, Crawford A, Mazurek M, Chavva I, Beekman R, Gilmore E, Petersen N, Payabvash S, Sze G, Eugenio Iglesias J, Omay S, Matouk C, Longbrake E, de Havenon A, Schiff S, Rosen M, Kimberly W, Sheth K. Future of Neurology & Technology: Neuroimaging Made Accessible Using Low-Field, Portable MRI. Neurology 2023, 100: 1067-1071. PMID: 36720639, PMCID: PMC10259275, DOI: 10.1212/wnl.0000000000207074.Peer-Reviewed Original Research
2022
Deep Learning Applications for Acute Stroke Management
Chavva IR, Crawford AL, Mazurek MH, Yuen MM, Prabhat AM, Payabvash S, Sze G, Falcone GJ, Matouk CC, de Havenon A, Kim JA, Sharma R, Schiff SJ, Rosen MS, Kalpathy‐Cramer J, Gonzalez J, Kimberly WT, Sheth KN. Deep Learning Applications for Acute Stroke Management. Annals Of Neurology 2022, 92: 574-587. PMID: 35689531, DOI: 10.1002/ana.26435.Peer-Reviewed Original ResearchMeSH KeywordsDeep LearningHumansNeural Networks, ComputerNeuroimagingReproducibility of ResultsStrokeConceptsDeep machine learningDeep learning applicationsMedical image analysisDeep neural networksPixel-wise labelingAcute stroke managementReal-world examplesDL applicationsDL approachMachine learningLearning applicationsDL modelsNeural networkStroke managementLesion segmentationMaximal utilityImage analysisElectronic medical record dataInter-rater variabilityCause of disabilityMedical record dataRelevant clinical featuresStroke detectionAdvanced neuroimaging techniquesDecision makingAnalysis of Clinical Traits Associated With Cardiovascular Health, Genomic Profiles, and Neuroimaging Markers of Brain Health in Adults Without Stroke or Dementia
Acosta JN, Both CP, Rivier C, Szejko N, Leasure AC, Gill TM, Payabvash S, Sheth KN, Falcone GJ. Analysis of Clinical Traits Associated With Cardiovascular Health, Genomic Profiles, and Neuroimaging Markers of Brain Health in Adults Without Stroke or Dementia. JAMA Network Open 2022, 5: e2215328. PMID: 35622359, PMCID: PMC9142873, DOI: 10.1001/jamanetworkopen.2022.15328.Peer-Reviewed Original ResearchMeSH KeywordsAdultBiomarkersBrainCohort StudiesDementiaFemaleGenomicsHumansMaleNeuroimagingRisk FactorsStrokeUnited StatesConceptsBrain healthBrain volumeMagnetic resonance imagingLower mean volumeLifestyle factorsCardiovascular healthLarge population-based cohort studyLife's Simple 7 (LS7) scoresPopulation-based cohort studyBrain magnetic resonance imagingMean volumeWhite matter hyperintensity volumeBrain health benefitsCommunity-dwelling personsImproved brain healthOutcomes of interestUK BiobankFinal analytical sampleAsymptomatic personsCohort studyLS7 scoreNeuroimaging markerHyperintensity volumeMAIN OUTCOMEGenetic predisposition
2021
Imaging 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
2019
Stroke atlas of the brain: Voxel-wise density-based clustering of infarct lesions topographic distribution
Wang Y, Juliano JM, Liew SL, McKinney AM, Payabvash S. Stroke atlas of the brain: Voxel-wise density-based clustering of infarct lesions topographic distribution. NeuroImage Clinical 2019, 24: 101981. PMID: 31473544, PMCID: PMC6728875, DOI: 10.1016/j.nicl.2019.101981.Peer-Reviewed Original ResearchConceptsMain cerebral arteriesInfarct lesionsSupply territoryCerebral arteryBrain tissueLarge arterial occlusionDeep white matterGray matter nucleiStandard brain spaceIschemic infarctArterial occlusionConsensus atlasMRI scansWhite matterLesionsTopographic distributionPatientsClusters of voxelsBrainArteryBrain spaceMother clustersMothersTiny clustersVisual assessmentWhite Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models
Payabvash S, Palacios E, Owen JP, Wang MB, Tavassoli T, Gerdes M, Brandes-Aitken A, Cuneo D, Marco E, Mukherjee P. White Matter Connectome Edge Density in Children with Autism Spectrum Disorders: Potential Imaging Biomarkers Using Machine-Learning Models. Brain Connectivity 2019, 9: 209-220. PMID: 30661372, PMCID: PMC6444925, DOI: 10.1089/brain.2018.0658.Peer-Reviewed Original Research
2016
CT Perfusion in Acute Lacunar Stroke: Detection Capabilities Based on Infarct Location
Benson JC, Payabvash S, Mortazavi S, Zhang L, Salazar P, Hoffman B, Oswood M, McKinney AM. CT Perfusion in Acute Lacunar Stroke: Detection Capabilities Based on Infarct Location. American Journal Of Neuroradiology 2016, 37: 2239-2244. PMID: 27538902, PMCID: PMC7963880, DOI: 10.3174/ajnr.a4904.Peer-Reviewed Original Research
2014
Differentiating intraparenchymal hemorrhage from contrast extravasation on post-procedural noncontrast CT scan in acute ischemic stroke patients undergoing endovascular treatment
Payabvash S, Qureshi MH, Khan SM, Khan M, Majidi S, Pawar S, Qureshi AI. Differentiating intraparenchymal hemorrhage from contrast extravasation on post-procedural noncontrast CT scan in acute ischemic stroke patients undergoing endovascular treatment. Neuroradiology 2014, 56: 737-744. PMID: 24925217, DOI: 10.1007/s00234-014-1381-8.Peer-Reviewed Original ResearchConceptsPost-procedural CT scanAcute ischemic stroke patientsIschemic stroke patientsContrast extravasationIntraparenchymal hemorrhageEndovascular treatmentStroke patientsCT scanNoncontrast CT scanHyperdense lesionHounsfield unitsParenchymal lesionsImaging recordsIntroductionThis studyHemorrhagePatientsExtravasationLesionsScansHyperdensityHyperdenseTreatmentAverage attenuationCharacteristic analysisResultsOf