2025
Results of a Global Survey on the State of Interventional Radiology 2024
Guan J, Elhakim T, Matsumoto M, McKeon T, Laage-Gaupp F, Iqbal S, Patel P, Pereira P, Tam A, Binkert C, Sofocleous C. Results of a Global Survey on the State of Interventional Radiology 2024. Journal Of Vascular And Interventional Radiology 2025 PMID: 39793699, DOI: 10.1016/j.jvir.2024.12.594.Peer-Reviewed Original ResearchTraining programIR training programInterventional radiologyDiagnostic radiologistsIncreasing patient awarenessAmerican training programsIR servicesSpecialty affiliationHospital settingPatient referralPatient awarenessImprove accessAnonymous surveyInterventional radiologistsMedical studentsMultidisciplinary conferenceIR exposureRadiology trainingEducational characteristicsSocietal effortsSpecialtyEducationSurveyRadiologistsAwareness
2024
Release of complex imaging reports to patients, do radiologists trust AI to help?
Amin K, Davis M, Naderi A, Forman H. Release of complex imaging reports to patients, do radiologists trust AI to help? Current Problems In Diagnostic Radiology 2024, 54: 147-150. PMID: 39676024, DOI: 10.1067/j.cpradiol.2024.12.008.Peer-Reviewed Original ResearchRadiology reportsArtificial intelligenceImprove patient comprehensionAcademic medical centerEight-question surveyManual checkingPatient portalsCentury Cures ActArtificial intelligence systemsArtificial intelligence technologyPatient comprehensionOpinions of radiologistsClinical fellowsIntelligent systemsCures ActMedical CenterImaging ReportingIntelligence technologyRadiology attendingsContact informationPatientsRadiologistsRadiologyMRI after focal therapy for prostate cancer: what radiologists must know?
Jalilianhasanpour R, Arora S, Mansoori B, Raman S, Greenwood B, Sprenkle P, Schade G, Camacho M, Hosseini N, Westphalen A. MRI after focal therapy for prostate cancer: what radiologists must know? Abdominal Radiology 2024, 1-20. PMID: 39542951, DOI: 10.1007/s00261-024-04670-5.Peer-Reviewed Original ResearchRecent Trends in Academic Vs Non-academic Radiologist Compensation and Clinical Productivity
Malhotra A, Futela D, Joshi R, Payabvash S, White B, Seidenwurm D, Gandhi D, Duszak R. Recent Trends in Academic Vs Non-academic Radiologist Compensation and Clinical Productivity. Journal Of The American College Of Radiology 2024 PMID: 39542198, DOI: 10.1016/j.jacr.2024.10.020.Peer-Reviewed Original ResearchIR Physician Compensation at U.S. Medical Schools: Trends and Segments
Malhotra A, Futela D, Khunte M, Wu X, Payabvash S, Gandhi D, Chapiro J, Duszak R. IR Physician Compensation at U.S. Medical Schools: Trends and Segments. Journal Of Vascular And Interventional Radiology 2024, 36: 347-354.e1. PMID: 39442649, DOI: 10.1016/j.jvir.2024.10.016.Peer-Reviewed Original ResearchUltrasound evaluation of portal venous gas and its mimics
Bitar R, Kaur M, Crandall I, McNamara R, Revzin M. Ultrasound evaluation of portal venous gas and its mimics. Abdominal Radiology 2024, 49: 2756-2769. PMID: 38735019, DOI: 10.1007/s00261-024-04328-2.Peer-Reviewed Original ResearchThe disproportionate impact of peer learning on emergency radiology
Czerminski J, Pahade J, Davis M, Mezrich J. The disproportionate impact of peer learning on emergency radiology. Emergency Radiology 2024, 31: 133-139. PMID: 38261134, DOI: 10.1007/s10140-024-02207-3.Peer-Reviewed Original ResearchEmergency radiologistsPotential learning opportunitiesFollow-up reviewEmergency department patientsPost hoc analysisIncreasing case volumePediatric patientsCT examsAttending radiologistsAcademic medical centerCase volumeLearning methodsDepartment patientsPurposeThe useHoc analysisShorter turn-around timeMedical CenterRadiologistsAttending coveragePeer learning methodLearning feedbackHospital systemPatientsAnalysis of varianceUsing an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels
Warman P, Warman A, Warman R, Degnan A, Blickman J, Smith D, McHale P, Coburn Z, McCormick S, Chowdhary V, Dash D, Sangal R, Vadhan J, Bueso T, Windisch T, Neves G. Using an artificial intelligence software improves emergency medicine physician intracranial haemorrhage detection to radiologist levels. Emergency Medicine Journal 2024, 41: 298-303. PMID: 38233106, DOI: 10.1136/emermed-2023-213158.Peer-Reviewed Original ResearchCranial CT scanEmergency physiciansIntracranial haemorrhageBoard-certified emergency physiciansCT scanYears of practice experienceNon-contrast cranial CT scansED physiciansClinical careImaging ReportingEP cohortArtificial intelligenceReader accuracyNon-contrastPatient outcomesRadiologistsRandom orderPhysiciansPatientsCohort
2023
Analysis of Medical Malpractice Claims Involving Interventional Radiologists: A Comprehensive Analysis From Two National Legal Databases
Khan A, Garg T, Khunte M, Bajaj S, Wu X, Mezrich J, Malhotra A. Analysis of Medical Malpractice Claims Involving Interventional Radiologists: A Comprehensive Analysis From Two National Legal Databases. Journal Of The American College Of Radiology 2023, 21: 656-662. PMID: 37769859, DOI: 10.1016/j.jacr.2023.02.039.Peer-Reviewed Original ResearchPercent of casesInterventional radiologistsVascular proceduresMedical malpractice claimsInformed consentMalpractice claimsMalpractice lawsuitsMedical negligenceDiagnostic arteriographyEmbolization proceduresHealth care institutionsFrequent reasonCare institutionsCase summariesBiopsyMedical malpractice lawsuitsMalpractice casesLegal databaseRadiologistsMedical malpracticePercentNational legal databasesTreatmentConsentConsensus report from the 10th global forum for liver magnetic resonance imaging: multidisciplinary team discussion
Taouli B, Ba-Ssalamah A, Chapiro J, Chhatwal J, Fowler K, Kang T, Knobloch G, Koh D, Kudo M, Lee J, Murakami T, Pinato D, Ringe K, Song B, Tabrizian P, Wang J, Yoon J, Zeng M, Zhou J, Vilgrain V. Consensus report from the 10th global forum for liver magnetic resonance imaging: multidisciplinary team discussion. European Radiology 2023, 33: 9167-9181. PMID: 37439935, PMCID: PMC10667403, DOI: 10.1007/s00330-023-09919-z.Peer-Reviewed Original ResearchConceptsLiver magnetic resonance imagingLiver surgeonsMagnetic resonance imagingHCC managementInterventional radiologistsResonance imagingLate-stage HCCMultidisciplinary team discussionMultidisciplinary tumor boardMultidisciplinary team approachHepatocellular carcinoma managementLiver cancer patientsCancer patientsTumor boardConsensus reportClinical relevanceTeam approachMultidisciplinary expertsOncologistsSurgeonsTeam discussionRadiologistsImagingMultidisciplinary facultyManagementCurrent State of Peer Learning in Radiology: A Survey of ACR Members
Sharpe R, Tarrant M, Brook O, Chatfield M, Chaudhry H, City R, Donnelly L, Goldberg-Stein S, Hernandez D, Hwang G, Kunst M, Lee R, Moriarity A, Pahade J, Patel S, Broder J. Current State of Peer Learning in Radiology: A Survey of ACR Members. Journal Of The American College Of Radiology 2023, 20: 699-711. PMID: 37230234, DOI: 10.1016/j.jacr.2023.03.018.Peer-Reviewed Original ResearchConceptsRoutine clinical practicePractice improvement projectACR membersClinical practicePractice characteristicsPatient careRadiology practiceHealth careImprovement initiativesImprovement projectTotal sampleCareRadiologistsACRCurrent practiceUrban settingsPL activityNet Promoter ScorePopulationImproved cultureIncidenceNonusers
2022
Deep Learning System Boosts Radiologist Detection of Intracranial Hemorrhage
Warman R, Warman A, Warman P, Degnan A, Blickman J, Chowdhary V, Dash D, Sangal R, Vadhan J, Bueso T, Windisch T, Neves G, Degnan A, Blickman J, Vadhan J. Deep Learning System Boosts Radiologist Detection of Intracranial Hemorrhage. Cureus 2022, 14: e30264. PMID: 36381767, PMCID: PMC9653089, DOI: 10.7759/cureus.30264.Peer-Reviewed Original ResearchIntracranial hemorrhage subtypesIntracranial hemorrhageCranial computed tomographyInter-reader agreementDetect intracranial hemorrhageCohort of radiologistsPerformance of radiologistsImprove patient outcomesReduce misdiagnosisRadiologistsPatient outcomesRadiologist's abilityMedical treatmentSubtypesPositive outcomesOutcomesSequelae of Eating Disorders at Imaging
Solomon N, Sailer A, Dixe de Oliveira Santo I, Pillai A, Heng LXX, Jha P, Katz DS, Zulfiqar M, Sugi M, Revzin MV. Sequelae of Eating Disorders at Imaging. RadioGraphics 2022, 42: 1377-1397. PMID: 35930473, DOI: 10.1148/rg.220018.Peer-Reviewed Educational MaterialsConceptsMedical historyPatient's medical historyHigh mortality rateOverview of managementClinical presentationMedical complicationsRelated complicationsImaging findingsPhysical examinationUncommon sequelaMedical attentionOnline supplemental materialPsychiatric disordersMedical treatmentMortality rateOrgan systemsSequelaeDisordersDiagnosisComplicationsPatientsPathophysiologySocial stigmaLaboratory resultsRadiologistsImportance of tumor subtypes in cancer imaging
Khader A, Braschi-Amirfarzan M, McIntosh LJ, Gosangi B, Wortman JR, Wald C, Thomas R. Importance of tumor subtypes in cancer imaging. European Journal Of Radiology Open 2022, 9: 100433. PMID: 35909389, PMCID: PMC9335388, DOI: 10.1016/j.ejro.2022.100433.Peer-Reviewed Educational Materials
2021
Longitudinal imaging history in early identification of intimate partner violence
Park H, Gujrathi R, Gosangi B, Thomas R, Cai T, Chen I, Bay C, Hassan N, Boland G, Kohane I, Seltzer S, Rexrode K, Khurana B. Longitudinal imaging history in early identification of intimate partner violence. European Radiology 2021, 32: 2824-2836. PMID: 34797386, DOI: 10.1007/s00330-021-08362-2.Peer-Reviewed Original ResearchConceptsSelf-reported dateIPV-related injuriesGroup 1Neurological injuryMusculoskeletal injuriesGroup 2Early identificationGroup 2 patientsIntimate partner violencePhysical abuseTypes of abuseNeurologic injuryHigh suspicionCommon injuriesResultsA totalImaging reviewPartner violenceInjuryStudy datesLikelihood of IPVCommon typeRadiologistsPatientsSuspicionIPVClosing the Compliance Loop on Follow-Up Imaging Recommendations: Comparing Radiologists’ and Administrators’ Attitudes
Kadom N, Fredericks N, Moore CL, Seidenwurm D, Shugarman S, Venkatesh A. Closing the Compliance Loop on Follow-Up Imaging Recommendations: Comparing Radiologists’ and Administrators’ Attitudes. Current Problems In Diagnostic Radiology 2021, 51: 486-490. PMID: 34565635, DOI: 10.1067/j.cpradiol.2021.08.003.Peer-Reviewed Original ResearchConceptsActionable incidental findingsTechnical expert panelNon-physician healthcare professionalsPrimary care providersIncidental findingImaging recommendationsAmerican CollegeCare providersOrdering providerMedical professional organizationsModerate riskHealthcare professionalsFollowExpert panelRespondent groupsTransition communicationHealthcare systemRadiologistsRole of the radiologist at HCC multidisciplinary conference and use of the LR-TR algorithm for improving workflow
Shenoy-Bhangle AS, Tsai LL, Masciocchi M, Arora SS, Kielar AZ. Role of the radiologist at HCC multidisciplinary conference and use of the LR-TR algorithm for improving workflow. Abdominal Radiology 2021, 46: 3558-3564. PMID: 33904990, DOI: 10.1007/s00261-021-03094-9.Peer-Reviewed Original ResearchConceptsLiver-directed locoregional therapiesLR-TR algorithmHepatocellular carcinomaLocoregional therapyMultidisciplinary conferenceLiver observationsTreatment of HCCLiver-directed therapiesLiver Imaging ReportingOptimal patient managementPost-treatment imagingRadiologic findingsLiver diseaseOncology patientsTransplant eligibilityInterdisciplinary managementHCC screeningPatient managementMultidisciplinary discussionPatient careImaging ReportingPatientsTherapyRadiologistsDiseaseComputer vision applied to dual-energy computed tomography images for precise calcinosis cutis quantification in patients with systemic sclerosis
Chandrasekaran AC, Fu Z, Kraniski R, Wilson FP, Teaw S, Cheng M, Wang A, Ren S, Omar IM, Hinchcliff ME. Computer vision applied to dual-energy computed tomography images for precise calcinosis cutis quantification in patients with systemic sclerosis. Arthritis Research & Therapy 2021, 23: 6. PMID: 33407814, PMCID: PMC7788847, DOI: 10.1186/s13075-020-02392-9.Peer-Reviewed Original ResearchConceptsSSc patientsCalcinosis cutisCC lesionsSystemic sclerosisBland-Altman plotsConcordance correlation coefficientIndependent radiologistsLin's concordance correlation coefficientConfidence intervalsValid clinical trialsExpert musculoskeletal radiologistsSpearman correlation coefficientClinical trialsMusculoskeletal radiologistsPatientsBurden quantificationLesionsMean differenceGold standardRadiologistsCorrelation coefficientLonger lengthPhalanxSpearman's rhoValidation study
2020
Thoracic aortic dissection classification among radiologists and surgeons and management trends
Grant J, Allen A, Traube L, Levsky J, Haramati L. Thoracic aortic dissection classification among radiologists and surgeons and management trends. Emergency Radiology 2020, 28: 297-301. PMID: 33025220, DOI: 10.1007/s10140-020-01861-7.Peer-Reviewed Original ResearchConceptsIntramural hematomaAortic dissectionDiscrepancy rateMean age 60Stanford type AElectronic health recordsB dissectionMedical managementStanford classificationPatient managementAge 60B classificationDissectionHealth recordsSurgeonsRadiology reportsType ARadiologistsCTHematomaObjectiveToManagementResultsNewlyDiagnostic approach to primary retroperitoneal pathologies: what the radiologist needs to know
Czeyda-Pommersheim F, Menias C, Boustani A, Revzin M. Diagnostic approach to primary retroperitoneal pathologies: what the radiologist needs to know. Abdominal Radiology 2020, 46: 1062-1081. PMID: 32944824, DOI: 10.1007/s00261-020-02752-8.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
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