2024
Increasing patient viewership of complex imaging reports: The paradox of the Cures Act
Amin K, Davis M, Naderi A, Forman H. Increasing patient viewership of complex imaging reports: The paradox of the Cures Act. Clinical Imaging 2024, 119: 110398. PMID: 39756146, DOI: 10.1016/j.clinimag.2024.110398.Peer-Reviewed Original ResearchMeSH KeywordsDiagnostic ImagingElectronic Health RecordsFemaleHumansMaleRadiology Information SystemsRetrospective StudiesUnited StatesConceptsElectronic health recordsCentury Cures ActCures ActImprove patient experienceRadiology reportsReading grade levelPatient experienceHealth recordsHealth informationRecommended levelsRetrospective observational studyObservational studyPatientsViewing probabilityRadiologyOddsHealthYearsIncrease viewershipReportsGrade levelModalitiesProvision
2021
Patient Electronic Access to Final Radiology Reports: What Is the Current Standard of Practice, and Is an Embargo Period Appropriate?
Mezrich JL, Jin G, Lye C, Yousman L, Forman HP. Patient Electronic Access to Final Radiology Reports: What Is the Current Standard of Practice, and Is an Embargo Period Appropriate? Radiology 2021, 300: 204382. PMID: 33944630, DOI: 10.1148/radiol.2021204382.Peer-Reviewed Original ResearchMeSH KeywordsAccess to InformationElectronic Health RecordsForms and Records ControlHealth Records, PersonalHumansPatient PortalsRadiology Information SystemsSurveys and QuestionnairesTime FactorsUnited StatesConceptsRadiology reportsPrimary care physiciansHealth informationPatient-centered careCare physiciansMedical recordsElectronic health informationPatientsPatient accessPortal accessHospital rankingsHealth recordsTelephone surveyCentury Cures ActEarly accessCliniciansReportCures ActStandardized practicesFinal rulePotential benefitsCurrent practiceReviewHospitalPhysicians
2020
Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel
Westphalen AC, McCulloch CE, Anaokar JM, Arora S, Barashi NS, Barentsz JO, Bathala TK, Bittencourt LK, Booker MT, Braxton VG, Carroll PR, Casalino DD, Chang SD, Coakley FV, Dhatt R, Eberhardt SC, Foster BR, Froemming AT, Fütterer JJ, Ganeshan DM, Gertner MR, Mankowski Gettle L, Ghai S, Gupta RT, Hahn ME, Houshyar R, Kim C, Kim CK, Lall C, Margolis DJA, McRae SE, Oto A, Parsons RB, Patel NU, Pinto PA, Polascik TJ, Spilseth B, Starcevich JB, Tammisetti VS, Taneja SS, Turkbey B, Verma S, Ward JF, Warlick CA, Weinberger AR, Yu J, Zagoria RJ, Rosenkrantz AB. Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel. Radiology 2020, 296: 76-84. PMID: 32315265, PMCID: PMC7373346, DOI: 10.1148/radiol.2020190646.Peer-Reviewed Original ResearchConceptsPositive predictive valuePI-RADS scoreProstate cancerPI-RADSGleason scorePredictive valueRetrospective cross-sectional studyHigh-grade prostate cancerObserved positive predictive valueOverall positive predictive valueUntreated prostate cancerProstate MRIInterquartile rangeSignificant prostate cancerProstate Imaging ReportingCross-sectional studyMixed-model logistic regressionProstate cancer diseaseReporting Data SystemMRI lesionsBiopsy resultsActive surveillanceClinical careMRI scansImaging Reporting
2019
BI-RADS, C-RADS, CAD-RADS, LI-RADS, Lung-RADS, NI-RADS, O-RADS, PI-RADS, TI-RADS: Reporting and Data Systems.
An J, Unsdorfer K, Weinreb J. BI-RADS, C-RADS, CAD-RADS, LI-RADS, Lung-RADS, NI-RADS, O-RADS, PI-RADS, TI-RADS: Reporting and Data Systems. RadioGraphics 2019, 39: 1435-1436. PMID: 31498744, PMCID: PMC7251936, DOI: 10.1148/rg.2019190087.Peer-Reviewed Original ResearchCoronary DiseaseFemaleGuidelines as TopicHumansMaleNeoplasmsRadiology Information SystemsSocieties, MedicalTerminology as TopicProviding Expert Pediatric Teleradiology Services Around the Globe: The World Federation of Pediatric Imaging Experience
Otero HJ, Andronikou S, Grassi DC, Silva CT. Providing Expert Pediatric Teleradiology Services Around the Globe: The World Federation of Pediatric Imaging Experience. Journal Of The American College Of Radiology 2019, 17: 53-55. PMID: 31278921, DOI: 10.1016/j.jacr.2019.06.006.Peer-Reviewed Original ResearchPI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway
Padhani AR, Barentsz J, Villeirs G, Rosenkrantz AB, Margolis DJ, Turkbey B, Thoeny HC, Cornud F, Haider M, Macura K, Tempany C, Verma S, Weinreb J. PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway. Radiology 2019, 292: 464-474. PMID: 31184561, PMCID: PMC6677282, DOI: 10.1148/radiol.2019182946.Peer-Reviewed Original ResearchMeSH KeywordsHumansImage-Guided BiopsyMagnetic Resonance Imaging, InterventionalMaleMultiparametric Magnetic Resonance ImagingProstateProstatic NeoplasmsRadiology Information SystemsConceptsBiopsy pathwayProstate cancerLife-threatening prostate cancerBiopsy-naive menNegative biopsy resultsClinical care guidelinesHigh-quality evidenceSignificant prostate cancerRoutine clinical practiceProstate Imaging ReportingGreater clinical utilityNumber of diagnosesProstate cancer detectionClinical suspicionInsignificant cancerCare guidelinesBiopsy resultsProstate biopsyTransrectal USMRI pathwayPositive health impactsNumber of menBiopsy increasesIncorporation of MRIClinical utilityAn update for LI‐RADS: Version 2018. Why so soon after version 2017?
Kielar AZ, Chernyak V, Bashir MR, K. R, Fowler KJ, Santillan C, Sirlin CB, Mitchell DG, Cerny M, Tang A, Elsayes KM, Kamaya A, Kono Y, Arora SS. An update for LI‐RADS: Version 2018. Why so soon after version 2017? Journal Of Magnetic Resonance Imaging 2019, 50: 1990-1991. PMID: 30864185, DOI: 10.1002/jmri.26715.Peer-Reviewed Original ResearchCarcinoma, HepatocellularHumansLiver NeoplasmsMagnetic Resonance ImagingRadiology Information Systems
2018
Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches
Miao S, Xu T, Wu Y, Xie H, Wang J, Jing S, Zhang Y, Zhang X, Yang Y, Zhang X, Shan T, Wang L, Xu H, Wang S, Liu Y. Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches. International Journal Of Medical Informatics 2018, 119: 17-21. PMID: 30342682, DOI: 10.1016/j.ijmedinf.2018.08.009.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBreast NeoplasmsChinaDeep LearningFemaleHumansImage Interpretation, Computer-AssistedMachine LearningRadiology Information SystemsUltrasonography, MammaryConceptsLearning-based methodsBreast ultrasound reportsElectronic health record systemsTraditional machine learning-based methodsDeep learning-based approachDeep learning-based methodsNatural language processing methodsMachine learning-based methodsDeep learning technologyConditional random field algorithmDeep learning approachLanguage processing methodsLearning-based approachUltrasound reportsBreast cancer researchRule-based methodHealth record systemsBreast radiology reportsLearning technologyNLP approachLearning approachField algorithmDetailed clinical informationWide adoptionRecord systemAn Automated System for Categorizing Transthoracic Echocardiography Indications According to the Echocardiography Appropriate Use Criteria.
Eisman A, Weiner R, Chen E, Stey P, Wadhera R, Kithcart A, Sarkar I. An Automated System for Categorizing Transthoracic Echocardiography Indications According to the Echocardiography Appropriate Use Criteria. AMIA Annual Symposium Proceedings 2018, 2017: 670-678. PMID: 29854132, PMCID: PMC5977700.Peer-Reviewed Original ResearchConceptsTransthoracic echocardiography indicationTransthoracic echocardiographyAppropriate Use CriteriaTransthoracic echocardiography useTransthoracic echocardiography reportsEchocardiography indicatorsRule-based methodPatient populationValvular assessmentEchocardiographyDevelopment of systemsPhysician's decisionAutomated classificationAutomated approachTrained physiciansAppropriate useAutomated systemCriteria
2017
Storing Medical Images in the Digital Age: The Need for Universal and Technologically Appropriate Guidelines
Mezrich JL, Siegel E. Storing Medical Images in the Digital Age: The Need for Universal and Technologically Appropriate Guidelines. Journal Of The American College Of Radiology 2017, 14: 752-754. PMID: 28476608, DOI: 10.1016/j.jacr.2017.02.029.Peer-Reviewed Original Research
2016
The Role of Report Comparison, Analysis, and Discrepancy Categorization in Resident Education.
Harari AA, Conti MB, Bokhari SA, Staib LH, Taylor CR. The Role of Report Comparison, Analysis, and Discrepancy Categorization in Resident Education. American Journal Of Roentgenology 2016, 207: 1223-1231. PMID: 27657361, DOI: 10.2214/ajr.16.16245.Peer-Reviewed Original Research
2015
Classification of radiology reports for falls in an HIV study cohort
Bates J, Fodeh SJ, Brandt CA, Womack JA. Classification of radiology reports for falls in an HIV study cohort. Journal Of The American Medical Informatics Association 2015, 23: e113-e117. PMID: 26567329, PMCID: PMC4954638, DOI: 10.1093/jamia/ocv155.Peer-Reviewed Original ResearchConceptsFeature selectionMutual informationSVM classifierUnified Medical Language System (UMLS) conceptsSupport vector machine classifierRadiology reportsFeature selection approachStructured electronic health record dataFeature selection methodVector machine classifierMachine learningNumber of featuresSupervised machineDiscriminative featuresFeature setsMachine classifierVACS-VCClassifier performanceStudy cohortClassifierSelection approachElectronic health record dataCurve scoreVeterans Aging Cohort Study Virtual CohortSelection method
2014
Who Owns the Image? Archiving and Retention Issues in the Digital Age
Mezrich JL, Siegel E. Who Owns the Image? Archiving and Retention Issues in the Digital Age. Journal Of The American College Of Radiology 2014, 11: 384-386. PMID: 24503046, DOI: 10.1016/j.jacr.2013.07.006.Peer-Reviewed Original Research
2011
The Yale cTAKES extensions for document classification: architecture and application
Garla V, Re V, Dorey-Stein Z, Kidwai F, Scotch M, Womack J, Justice A, Brandt C. The Yale cTAKES extensions for document classification: architecture and application. Journal Of The American Medical Informatics Association 2011, 18: 614-620. PMID: 21622934, PMCID: PMC3168305, DOI: 10.1136/amiajnl-2011-000093.Peer-Reviewed Original ResearchMeSH KeywordsConnecticutData MiningDecision Support Systems, ClinicalElectronic Health RecordsHumansLiver FailureNatural Language ProcessingPattern Recognition, AutomatedRadiographyRadiology Information SystemsConceptsDocument classificationFeature extractionProcessing systemKnowledge Extraction SystemDocument classification systemClinical Text AnalysisDocument classifierFeature representationRadiology reportsOpen sourceClinical textText analysisTechnical challengesClassificationExtraction systemClassification systemRepresentationClassifierSemanticsSystemArchitectureRetrievalExtractionSyntaxExtensionA survey of policies and procedures on the communication and documentation of radiologic interpretations
Monico EP, Forman HP, Goodman TR, Schwartz I, Larkin GL. A survey of policies and procedures on the communication and documentation of radiologic interpretations. Journal Of Healthcare Risk Management 2011, 30: 23-27. PMID: 21351193, DOI: 10.1002/jhrm.20057.Peer-Reviewed Original ResearchMeSH KeywordsDiagnostic ErrorsDiagnostic ImagingDocumentationEmergency Service, HospitalHealth PolicyHumansRadiology Department, HospitalRadiology Information Systems
2010
Masters of radiology panel discussion: role of communication in today's radiologic practices.
Forman HP, Javitt MC, Monsees B, Crowe JK, Beauchamp NJ, Larson DB, Kaye A, Kazerooni EA, Norbash A, Messinger N, Hricak H, Thrall JH. Masters of radiology panel discussion: role of communication in today's radiologic practices. American Journal Of Roentgenology 2010, 194: 1014-7. PMID: 20308504, DOI: 10.2214/ajr.09.4060.Peer-Reviewed Original ResearchAttitude of Health PersonnelAutomationCommunicationDocumentationHumansRadiologyRadiology Information Systems
2008
Process modification and emergency department radiology service
DeFlorio R, Coughlin B, Coughlin R, Li H, Santoro J, Akey B, Favreau M. Process modification and emergency department radiology service. Emergency Radiology 2008, 15: 405-412. PMID: 18665405, DOI: 10.1007/s10140-008-0735-0.Peer-Reviewed Original ResearchYale Image Finder (YIF): a new search engine for retrieving biomedical images
Xu S, McCusker J, Krauthammer M. Yale Image Finder (YIF): a new search engine for retrieving biomedical images. Bioinformatics 2008, 24: 1968-1970. PMID: 18614584, PMCID: PMC2732221, DOI: 10.1093/bioinformatics/btn340.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsDatabase Management SystemsDocumentationInformation Storage and RetrievalInternetNatural Language ProcessingRadiology Information SystemsSoftwareUser-Computer InterfaceConceptsImage of interestSearch enginesBiomedical imagesNew search engineSimilar image contentsAccessible search enginesImage querySearch scenariosImage captionsRelevant imagesImage contentRelated imagesHigh-resolution imagesSearch keywordsPaper abstractsUsersResolution imagesImagesEngineFinderSource papersRelated papersQueriesJournal papersThumbnailsSimultaneous sizing and preoperative risk stratification for thoracic endovascular aneurysm repair: Role of gated computed tomography
Schlösser FJ, Mojibian HR, Dardik A, Verhagen HJ, Moll FL, Muhs BE. Simultaneous sizing and preoperative risk stratification for thoracic endovascular aneurysm repair: Role of gated computed tomography. Journal Of Vascular Surgery 2008, 48: 561-570. PMID: 18586438, DOI: 10.1016/j.jvs.2008.04.055.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAorta, ThoracicAortic Aneurysm, ThoracicAortographyBlood Vessel Prosthesis ImplantationCoronary AngiographyElectrocardiographyFeasibility StudiesFemaleHeartHeart DiseasesHumansMaleMiddle AgedPatient SelectionPredictive Value of TestsRadiology Information SystemsRetrospective StudiesRisk AssessmentTomography, X-Ray ComputedConceptsThoracic aortic aneurysmThoracic aortic pathologyCoronary artery diseaseAortic pathologyCoronary arteryArtery diseaseRisk stratificationCardiac structurePreoperative cardiac risk stratificationThoracic endovascular aneurysm repairInterventricular septal wall thicknessThoracic aorta pathologyUnderlying cardiac pathologyCoronary artery anomaliesMitral valve calcificationPrognosis of patientsVentricular ejection fractionCardiac risk stratificationPreoperative risk stratificationInitial imaging modalityThoracic aortic diseaseEndovascular aneurysm repairSeptal wall thicknessSimultaneous assessmentArtery anomalies
2007
The good news: what we can be thankful for.
Forman HP. The good news: what we can be thankful for. American Journal Of Roentgenology 2007, 189: 1273-4. PMID: 18029857, DOI: 10.2214/ajr.07.3299.Peer-Reviewed Original ResearchCost ControlHealth Care CostsInternship and ResidencyProfessional CompetenceRadiologyRadiology Information SystemsUnited States
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply