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 cohortSalary Equity in Academic Radiology Relative to Other Clinical Specialties
Malhotra A, Futela D, Khunte M, Ebrahimian S, Lee C, Wu X, Payabvash S, Gandhi D. Salary Equity in Academic Radiology Relative to Other Clinical Specialties. Academic Radiology 2024, 31: 2725-2727. PMID: 38782618, DOI: 10.1016/j.acra.2024.05.012.Peer-Reviewed Original ResearchAmerican Association of Medical CollegesClinical specialtiesU.S. medical schoolsSalary equitySalary survey dataFaculty membersSalary inequitiesRadiology facultyMedical specialtiesMedical schoolsFull-time facultyRadiology physiciansSpecialtyMedical CollegeAmerican AssociationRadiology departmentCompensation dataProfessor rankWomenSurvey dataWomen faculty membersFacultyRadiologyRadiological relationsAssistanceSalary equity in academic medicine physicians
Malhotra A, Futela D, Khunte M, Moily N, Wu X, Payabvash S, Gandhi D. Salary equity in academic medicine physicians. The American Journal Of The Medical Sciences 2024, 368: 167-169. PMID: 38772441, DOI: 10.1016/j.amjms.2024.05.009.Peer-Reviewed Original ResearchDiffusion‐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 valueRadiomic Features of Acute Cerebral Hemorrhage on Non-Contrast CT Associated with Patient Survival
Zaman S, Dierksen F, Knapp A, Haider S, Karam G, Qureshi A, Falcone G, Sheth K, Payabvash S. Radiomic Features of Acute Cerebral Hemorrhage on Non-Contrast CT Associated with Patient Survival. Diagnostics 2024, 14: 944. PMID: 38732358, PMCID: PMC11083693, DOI: 10.3390/diagnostics14090944.Peer-Reviewed Original ResearchInternational Normalized RatioArea under the curveNational Institutes of Health Stroke ScaleIntracerebral hemorrhageRadiomic featuresAntihypertensive Treatment of Acute Cerebral Hemorrhage IINon-contrast head CT scanBaseline International Normalized RatioAssociated with worse survival outcomesAcute intracerebral hemorrhageSupratentorial intracerebral hemorrhageWorse survival outcomesKaplan-Meier analysisHead CT scanCox proportional hazards modelsPredictors of mortalityAcute cerebral hemorrhageReceiver Operating Characteristic (ROC) analysisFirst-order energyHigher mortality riskProportional hazards modelHealth Stroke ScaleCT radiomicsHematoma expansionPost-ICHClosing the (Vascular) Loop: What Matters in Neurovascular Conflicts
Karam G, Payabvash S. Closing the (Vascular) Loop: What Matters in Neurovascular Conflicts. Contemporary Diagnostic Radiology 2024, 47: 1-5. DOI: 10.1097/01.cdr.0001010140.70951.7a.Peer-Reviewed Original ResearchFinancial Conflicts of Interest Among Physician Authors of ACR Appropriateness Criteria
Futela D, Khunte M, Bajaj S, Lee C, Tegtmeyer K, Payabvash S, Gandhi D, Malhotra A. Financial Conflicts of Interest Among Physician Authors of ACR Appropriateness Criteria. Academic Radiology 2024, 31: 2562-2566. PMID: 38538510, DOI: 10.1016/j.acra.2024.02.038.Peer-Reviewed Original ResearchACR-ACFinancial disclosureOpen Payments databaseACR Appropriateness CriteriaIndustry paymentsPhysician authorityAppropriateness CriteriaImaging guidelinesRadiology guidelinesUnique authorsUS authoritiesPayment reportsUS-based authorsFinancial relationshipsPayment categoriesFinancial conflictsPaymentDisclosurePayments DatabasePayment valueAccuracy of Financial Disclosures in Radiology Journals
Futela D, Khunte M, Bajaj S, Payabvash S, Gandhi D, Wintermark M, Malhotra A. Accuracy of Financial Disclosures in Radiology Journals. Journal Of The American College Of Radiology 2024 PMID: 38527639, DOI: 10.1016/j.jacr.2024.01.027.Peer-Reviewed Original ResearchFinancial disclosureRadiology journalsNon-disclosure ratesIndustry relationshipsDisclosureFinancial relationshipsPaymentPayment categoriesUS-based authorsIndustryUnique authorsOpen Payments databaseUS authoritiesMedian total amountPayment reportsAccuracyIndustry paymentsAuthorshipPhysician authorityOwnershipRelationshipSelf-disclosureAuthorsResearchJournalsImpact of 18F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers
Haider S, Zeevi T, Sharaf K, Gross M, Mahajan A, Kann B, Judson B, Prasad M, Burtness B, Aboian M, Canis M, Reichel C, Baumeister P, Payabvash S. Impact of 18F-FDG PET Intensity Normalization on Radiomic Features of Oropharyngeal Squamous Cell Carcinomas and Machine Learning–Generated Biomarkers. Journal Of Nuclear Medicine 2024, 65: jnumed.123.266637. PMID: 38514087, DOI: 10.2967/jnumed.123.266637.Peer-Reviewed Original ResearchOropharyngeal squamous cell carcinomaSquamous cell carcinomaHuman papillomavirusRadiomic featuresIntraclass correlation coefficientCell carcinomaLentiform nucleusHuman papillomavirus statusReceiver-operating-characteristic analysisReceiver-operating-characteristic curvePET radiomic featuresUnivariate logistic regressionF-FDGPrimary tumorTraining cohortValidation cohortRadiomic biomarkersUnivariate analysisInterindividual comparabilityPredictive valueDegree of reproducibilityMedian areaRadiomic markersLogistic regressionAUCRadiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke
Avery E, Abou-Karam A, Abi-Fadel S, Behland J, Mak A, Haider S, Zeevi T, Sanelli P, Filippi C, Malhotra A, Matouk C, Falcone G, Petersen N, Sansing L, Sheth K, Payabvash S. Radiomics-Based Prediction of Collateral Status from CT Angiography of Patients Following a Large Vessel Occlusion Stroke. Diagnostics 2024, 14: 485. PMID: 38472957, PMCID: PMC10930945, DOI: 10.3390/diagnostics14050485.Peer-Reviewed Original ResearchCollateral statusCollateral scoreLarge vessel occlusionAcute LVO strokeRadiomics modelTest cohortCT angiography of patientsAdmission computed tomography angiographyAnterior circulation territoryAngiography of patientsLong-term outcomesReceiver operating characteristic areaRadiomics-based predictionCollateral arterial circulationOperating characteristics areaAdmission CTACirculation territoryCT angiographyClinical outcomesRadiomic featuresTreatment triageOcclusion strokeVessel occlusionPatientsArterial circulationYoung Professionals in Neuroradiology: Opportunities, Challenges, and Future Directions
Trofimova A, Li Y, Mazaheri P, Krishnan A, Payabvash S, Kappelhof M, Gadde J. Young Professionals in Neuroradiology: Opportunities, Challenges, and Future Directions. American Journal Of Neuroradiology 2024, 45: 256-261. PMID: 38388685, DOI: 10.3174/ajnr.a8147.Peer-Reviewed Original ResearchUncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan
Tran A, Zeevi T, Haider S, Abou Karam G, Berson E, Tharmaseelan H, Qureshi A, Sanelli P, Werring D, Malhotra A, Petersen N, de Havenon A, Falcone G, Sheth K, Payabvash S. Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. Npj Digital Medicine 2024, 7: 26. PMID: 38321131, PMCID: PMC10847454, DOI: 10.1038/s41746-024-01007-w.Peer-Reviewed Original ResearchDeep learning modelsHematoma expansionIntracerebral hemorrhageICH expansionComputed tomographyNon-contrast head CTNon-contrast head computed tomographyHigh risk of HEHead computed tomographyHigh-confidence predictionsRisk of HENon-contrast headReceiver operating characteristic areaModifiable risk factorsMonte Carlo dropoutOperating characteristics areaPotential treatment targetHead CTVisual markersIdentified patientsAutomated deep learning modelDataset of patientsRisk factorsHigh riskPatientsTime-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome
Karam G, Chen M, Zeevi D, Harms B, Torres-Lopez V, Rivier C, Malhotra A, de Havenon A, Falcone G, Sheth K, Payabvash S. Time-Dependent Changes in Hematoma Expansion Rate after Supratentorial Intracerebral Hemorrhage and Its Relationship with Neurological Deterioration and Functional Outcome. Diagnostics 2024, 14: 308. PMID: 38337824, PMCID: PMC10855868, DOI: 10.3390/diagnostics14030308.Peer-Reviewed Original ResearchPredictors of NDSupratentorial intracerebral hemorrhageHematoma expansionIntracerebral hemorrhageNeurological deteriorationPoor outcomeNIH Stroke ScalePost-ICHFunctional outcomesMild symptomsHematoma expansion ratesIntracerebral hemorrhage onsetAssociation of HEModifiable risk factorsGlasgow Coma ScaleBaseline CTHematoma growthConsecutive patientsHead CTSCAN-3Follow-upRate of HEComa ScaleRisk factorsHematomaImpaired mobility and MRI markers of vascular brain injury: Atherosclerosis Risk in Communities and UK Biobank studies
Sharma R, de Havenon A, Rivier C, Payabvash S, Forman R, Krumholz H, Falcone G, Sheth K, Kernan W. Impaired mobility and MRI markers of vascular brain injury: Atherosclerosis Risk in Communities and UK Biobank studies. BMJ Neurology Open 2024, 6: e000501. PMID: 38288313, PMCID: PMC10823923, DOI: 10.1136/bmjno-2023-000501.Peer-Reviewed Original ResearchVascular brain injurySlow walkingAtherosclerosis RiskMobility impairmentsAssociated with mobility impairmentImpaired mobilityUK Biobank (UKBStroke-free cohortMarkers of vascular brain injuryAdjusted multivariate logistic regression analysisGait dataMultivariate logistic regression analysisCommunity-dwellingLogistic regression analysisBrain injuryARICUKBInclusion criteriaStudy cohortWalkingClinical strokeRegression analysisImpaired outcomeMRI markersStudy backgroundPeri-hematomal edema shape features related to 3-month outcome in acute supratentorial intracerebral hemorrhage
Dierksen F, Tran A, Zeevi T, Maier I, Qureshi A, Sanelli P, Werring D, Malhotra A, Falcone G, Sheth K, Payabvash S. Peri-hematomal edema shape features related to 3-month outcome in acute supratentorial intracerebral hemorrhage. European Stroke Journal 2024, 9: 383-390. PMID: 38179883, DOI: 10.1177/23969873231223814.Peer-Reviewed Original ResearchNIH Stroke ScaleGlasgow Coma ScaleAssociation of baselineIntracerebral hemorrhagePerihematomal edemaHematoma volumeAcute supratentorial intracerebral hemorrhageNon-traumatic intracerebral hemorrhageSecondary brain injuryAcute ICH patientsIndependent prognostic factorSupratentorial intracerebral hemorrhageAdmission NIH Stroke ScalePotential treatment targetRankin scoreStroke ScaleIndependent predictorsPatient agePrognostic factorsComa ScaleMultivariable analysisICH patientsPrognostic valueBrain injuryFavorable outcome
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 interventionEarly brain microstructural development among preterm infants requiring caesarean section versus those delivered vaginally
Bobba P, Weber C, Malhotra A, Bahtiyar M, Copel J, Taylor S, Ment L, Payabvash S. Early brain microstructural development among preterm infants requiring caesarean section versus those delivered vaginally. Scientific Reports 2023, 13: 21514. PMID: 38057452, PMCID: PMC10700578, DOI: 10.1038/s41598-023-48963-z.Peer-Reviewed Original ResearchAutism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes
Weber C, Lake E, Haider S, Mozayan A, Bobba P, Mukherjee P, Scheinost D, Constable R, Ment L, Payabvash S. Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes. Frontiers In Neuroscience 2023, 17: 1285396. PMID: 38075286, PMCID: PMC10702224, DOI: 10.3389/fnins.2023.1285396.Peer-Reviewed Original ResearchWhite matterPositive symptom correlationAutism spectrum disorderSymptom severity scoresBetween-group differencesAbnormal connectivity patternsCortical nodesVoxel-wise analysisDiffusion tensor imagingSeverity scoreWM fiber tractsSymptom correlationClinical dataConnectome disruptionConnectome changesEarly changesCortical regionsInfantsED reductionWM disruptionDisorder-specific changesTensor imagingFunctional imagingFiber tractsProbabilistic tractographyTrends of diversity in radiology trainees compared to other primary- and nonprimary-care specialties
Wu X, Khunte M, Tegtmeyer K, Bajaj S, Prajapati P, Payabvash S, Gandhi D, Malhotra A. Trends of diversity in radiology trainees compared to other primary- and nonprimary-care specialties. Clinical Imaging 2023, 106: 110015. PMID: 38065023, DOI: 10.1016/j.clinimag.2023.110015.Peer-Reviewed Original Research