2024
Academic Radiology Physician Financial Compensation in the United States: Trends and Distribution.
Malhotra A, Futela D, Joshi R, Khunte M, Moily N, Wu X, Payabvash S, Wintermark M, Gandhi D, Atzen S. Academic Radiology Physician Financial Compensation in the United States: Trends and Distribution. Radiology 2024, 313: e241057. PMID: 39352280, DOI: 10.1148/radiol.241057.Peer-Reviewed Original ResearchConceptsU.S. medical schoolsMedical schoolsStudy periodFinancial compensationDeidentified dataPhysician compensationSecondary analysisFaculty membersFull-time facultyRace/ethnicityAnalyze trendsCompensation dataCompare groupsCompensation valueFaculty compensationSalary reportsLinear regressionRadiology departmentSalary gapRadiology facultyDistribution and Disparities of Industry Payments to Neuroradiologists
Lee C, Khunte M, Tegtmeyer K, Payabvash S, Chen M, Mukherji S, Gandhi D, Malhotra A. Distribution and Disparities of Industry Payments to Neuroradiologists. American Journal Of Neuroradiology 2024 PMID: 39266256, DOI: 10.3174/ajnr.a8404.Peer-Reviewed Original ResearchDeep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke
Sommer J, Dierksen F, Zeevi T, Tran A, Avery E, Mak A, Malhotra A, Matouk C, Falcone G, Torres-Lopez V, Aneja S, Duncan J, Sansing L, Sheth K, Payabvash S. Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. Frontiers In Artificial Intelligence 2024, 7: 1369702. PMID: 39149161, PMCID: PMC11324606, DOI: 10.3389/frai.2024.1369702.Peer-Reviewed Original ResearchEnd-to-endComputed tomography angiographyLarge vessel occlusionConvolutional neural networkDeep learning pipelineTrain separate modelsLogistic regression modelsResNet-50Deep learningAdmission computed tomography angiographyNeural networkLearning pipelineAdmission CT angiographyPreprocessing stepDiagnosis of large vessel occlusionsLarge vessel occlusion strokeReceiver operating characteristic areaEnsemble modelAutomated modelPre-existing morbidityCT angiographyReperfusion successNeurological examCross-validationOcclusion strokeTeaching Deep Neural Networks to Find Cerebral Aneurysms.
Payabvash S. Teaching Deep Neural Networks to Find Cerebral Aneurysms. Radiology 2024, 312: e241367. PMID: 39162629, PMCID: PMC11366664, DOI: 10.1148/radiol.241367.Peer-Reviewed Original ResearchIntersectionality and Faculty Compensation in Academic Radiology in U.S.
Malhotra A, Futela D, Khunte M, Wu X, Payabvash S, Gandhi D, Jordan J. Intersectionality and Faculty Compensation in Academic Radiology in U.S. Academic Radiology 2024 PMID: 39069435, DOI: 10.1016/j.acra.2024.07.021.Peer-Reviewed Original ResearchImpact of intersectionalityInterventional radiologyWomen assistant professorsWhite menDiagnostic radiologyMedical schoolsIR facultyUS medical schoolsU.S. medical schoolsIntersectional groupsGender pay gapSalary survey dataPhysician compensationMedian compensationPay gapFull-time facultyRace/ethnicitySurvey dataRadiologyAssistant professorAcademic radiologyFinancial compensationRadiology facultyAAMCDisparitiesBrain 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 assessmentIndustry Relationships with Interventional Radiologists: Who are the high payment Physicians?
Lee C, Khunte M, Tegtmeyer K, Futela D, Bajaj S, Payabvash S, Gandhi D, Malhotra A. Industry Relationships with Interventional Radiologists: Who are the high payment Physicians? Current Problems In Diagnostic Radiology 2024 PMID: 39089981, DOI: 10.1067/j.cpradiol.2024.07.020.Peer-Reviewed Original ResearchLeadership positionsHospital leadership positionsSocial media presenceNational Provider Identifier RegistryConsulting feesIndustry relationshipsMedical device companiesFeesPhysician characteristicsWeb-based searchPayment valueMedia presenceInterventional radiologistsPaymentAssociation leadershipIdentifier RegistryLeadershipGuideline authorsPhysiciansSocial mediaIndustryFaculty appointmentsKardashian IndexDevice companiesClinical practice guideline authorsProportion of industry payment value by category in radiology relative to other specialties
Khunte M, Zhong A, Lee C, Futela D, Payabvash S, Gandhi D, Malhotra A. Proportion of industry payment value by category in radiology relative to other specialties. Clinical Imaging 2024, 114: 110237. PMID: 39146825, DOI: 10.1016/j.clinimag.2024.110237.Peer-Reviewed Original ResearchAutomated 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, 21: 1527-1533. 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, PMCID: PMC11286115, 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 riskPatients