2024
Diagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis
Sharifi G, Hajibeygi R, Zamani S, Easa A, Bahrami A, Eshraghi R, Moafi M, Ebrahimi M, Fathi M, Mirjafari A, Chan J, Dixe de Oliveira Santo I, Anar M, Rezaei O, Tu L. Diagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis. Emergency Radiology 2024, 32: 97-111. PMID: 39680295, DOI: 10.1007/s10140-024-02300-7.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsHumansNeural Networks, ComputerRadiographic Image Interpretation, Computer-AssistedSensitivity and SpecificitySkull FracturesTomography, X-Ray ComputedConceptsConvolutional neural networkArea under the receiver operating characteristic curveConvolutional neural network modelCT scanSkull fractureComputed tomographyDeep learningProspective clinical trialMeta-analysisReceiver operating characteristic curvePublication biasSkull fracture detectionSystematic reviewNeural network algorithmDetecting skull fracturesImprove diagnosis accuracyDiagnostic hurdlesShortage of radiologistsAutomated diagnostic toolTransfer learningDiagnostic performanceDiagnostic accuracyClinical trialsModel architectureNeural network
2021
Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus
Harper JR, Cherukuri V, O’Reilly T, Yu M, Mbabazi-Kabachelor E, Mulando R, Sheth KN, Webb AG, Warf BC, Kulkarni AV, Monga V, Schiff SJ. Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus. NeuroImage Clinical 2021, 32: 102896. PMID: 34911199, PMCID: PMC8646178, DOI: 10.1016/j.nicl.2021.102896.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsBrainChildDeep LearningHumansHydrocephalusImage Processing, Computer-AssistedRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedConceptsDeep learning enhancementLow-quality imagesDeep learningQuality imagesDeep learning algorithmsEnhanced imageRole of machineLearning enhancementImage qualityLearning algorithmAcceptable image qualityReconstruction errorImage resolutionImagesAlgorithmCT imagesLearningCT counterpartsNoise ratioTreatment planningPlanningNew standardStructural errorsExperienced pediatric neurosurgeonsMachine
2020
Bone Marrow Edema at Dual-Energy CT: A Game Changer in the Emergency Department.
Gosangi B, Mandell JC, Weaver MJ, Uyeda JW, Smith SE, Sodickson AD, Khurana B. Bone Marrow Edema at Dual-Energy CT: A Game Changer in the Emergency Department. RadioGraphics 2020, 40: 859-874. PMID: 32364883, DOI: 10.1148/rg.2020190173.Peer-Reviewed Educational MaterialsBone Marrow DiseasesEdemaEmergency Service, HospitalHumansRadiographic Image Interpretation, Computer-AssistedRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedPredictive value of the QFR in detecting vulnerable plaques in non-flow limiting lesions: a combined analysis of the PROSPECT and IBIS-4 study
Safi H, Bourantas CV, Ramasamy A, Zanchin T, Bär S, Tufaro V, Jin C, Torii R, Karagiannis A, Reiber JHC, Mathur A, Onuma Y, Windecker S, Lansky A, Maehara A, Serruys PW, Stone P, Baumbach A, Stone GW, Räber L. Predictive value of the QFR in detecting vulnerable plaques in non-flow limiting lesions: a combined analysis of the PROSPECT and IBIS-4 study. The International Journal Of Cardiovascular Imaging 2020, 36: 993-1002. PMID: 32152810, DOI: 10.1007/s10554-020-01805-9.Peer-Reviewed Original ResearchMeSH KeywordsAgedCoronary AngiographyCoronary Artery DiseaseCoronary CirculationCoronary VesselsDisease ProgressionFemaleHumansMaleMiddle AgedPlaque, AtheroscleroticPredictive Value of TestsPrognosisRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesRupture, SpontaneousSeverity of Illness IndexTime FactorsUltrasonography, InterventionalConceptsVirtual histology intravascular ultrasoundQuantitative flow ratioMinimum lumen diameterMinimum lumen areaCoronary angiographyPlaque burdenIBIS-4 studyPrognostic informationVulnerable plaquesSmaller minimum lumen areaMajor adverse cardiac eventsVulnerable phenotypeAdverse cardiac eventsGreater plaque burdenPredictors of MACENon-culprit lesionsAdditional prognostic informationSmaller minimum lumen diameterUseful prognostic informationQuantitative coronary angiographyAdditive valueCardiac eventsPlaque characteristicsLesion severityAngiographic dataArtificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease
Oikonomou EK, Siddique M, Antoniades C. Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease. Cardiovascular Research 2020, 116: 2040-2054. PMID: 32090243, PMCID: PMC7585409, DOI: 10.1093/cvr/cvaa021.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsBig DataCardiovascular DiseasesClinical Decision-MakingDiagnosis, Computer-AssistedHumansMachine LearningPhenotypePredictive Value of TestsPrognosisRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsTomography, X-Ray ComputedConceptsCardiac computed tomographyNon-invasive imagingCardiovascular imagingCardiovascular diseaseNon-invasive cardiovascular imagingCardiac CTCardiovascular risk stratificationFirst-line optionImportant clinical implicationsRisk stratificationUnstable patientsClinical careComputed tomographyCurrent evidenceClinical implicationsCardiac imagingRadiomics approachPatientsRadiomics methodTissue biologyCardiovascular diagnosticsDiseaseFuture studiesImagingPhenotyping
2019
Three‐Dimensional Echocardiography for Transcatheter Aortic Valve Replacement Sizing: A Systematic Review and Meta‐Analysis
Rong LQ, Hameed I, Salemi A, Rahouma M, Khan FM, Wijeysundera HC, Angiolillo DJ, Shore‐Lesserson L, Biondi‐Zoccai G, Girardi LN, Fremes SE, Gaudino M. Three‐Dimensional Echocardiography for Transcatheter Aortic Valve Replacement Sizing: A Systematic Review and Meta‐Analysis. Journal Of The American Heart Association 2019, 8: e013463. PMID: 31549579, PMCID: PMC6806040, DOI: 10.1161/jaha.119.013463.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAortic ValveAortic Valve StenosisEchocardiography, Three-DimensionalFemaleHeart Valve ProsthesisHumansMaleMultidetector Computed TomographyObserver VariationPredictive Value of TestsProsthesis DesignRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSeverity of Illness IndexTranscatheter Aortic Valve ReplacementTreatment OutcomeConceptsTranscatheter aortic valve replacementParavalvular aortic regurgitationAortic regurgitationPrimary outcomeAnnular diameterAnnular perimeterTranscatheter aortic valve replacement sizingSystematic reviewSevere symptomatic aortic stenosisVentricular outflow tract areaBackground Transcatheter aortic valve replacementMean annular diameterOutflow tract areaPre-TAVR planningSymptomatic aortic stenosisAortic valve replacementStandard of careRandom-effects modelSystematic literature searchAnnular areaThree-dimensional echocardiographyContrast exposureRenal dysfunctionAortic stenosisSecondary outcomesUse of Virtual Injection Software to Aid in Microcatheter Positioning during Transarterial Chemoembolization
Soliman MM, Stein SI, Doustaly R, Madoff DC. Use of Virtual Injection Software to Aid in Microcatheter Positioning during Transarterial Chemoembolization. Journal Of Vascular And Interventional Radiology 2019, 30: 1646-1648. PMID: 31471197, DOI: 10.1016/j.jvir.2019.07.003.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, HepatocellularCathetersChemoembolization, TherapeuticCone-Beam Computed TomographyEquipment DesignHumansInjectionsLiver NeoplasmsMaleMiddle AgedMiniaturizationRadiographic Image Interpretation, Computer-AssistedSoftwareTherapy, Computer-AssistedTreatment OutcomeTumor BurdenConceptsSoftwareExtrahepatic Clinical Application of Vessel Tracking Software and 3D Roadmapping Tools: Preliminary Experience
Sundararajan SH, McClure TD, Winokur RS, Kishore SA, Madoff DC. Extrahepatic Clinical Application of Vessel Tracking Software and 3D Roadmapping Tools: Preliminary Experience. Journal Of Vascular And Interventional Radiology 2019, 30: 1021-1026. PMID: 31003843, DOI: 10.1016/j.jvir.2018.11.039.Peer-Reviewed Original ResearchMeSH KeywordsAgedAneurysm, FalseCarcinoma, Renal CellComputed Tomography AngiographyEmbolization, TherapeuticFemaleGastrointestinal HemorrhageHumansImaging, Three-DimensionalKidney NeoplasmsMaleMesenteric Artery, SuperiorPancreaticoduodenectomyPostoperative HemorrhagePredictive Value of TestsPreliminary DataProstateProstatic HyperplasiaRadiographic Image Interpretation, Computer-AssistedRadiography, InterventionalRenal ArteryRetrospective StudiesSoftwareTreatment OutcomeDetection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence
Ye W, Gu W, Guo X, Yi P, Meng Y, Han F, Yu L, Chen Y, Zhang G, Wang X. Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence. BioMedical Engineering OnLine 2019, 18: 6. PMID: 30670024, PMCID: PMC6343356, DOI: 10.1186/s12938-019-0627-4.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsDatabases, FactualDeep LearningDiagnosis, Computer-AssistedFalse Positive ReactionsHumansImage Processing, Computer-AssistedLungLung NeoplasmsRadiographic Image Interpretation, Computer-AssistedRadiologyReproducibility of ResultsSensitivity and SpecificitySolitary Pulmonary NoduleTomography, X-Ray ComputedConceptsDeep learningF-scoreLung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) databaseMethod of deep learningArtificial intelligence systemsInput imageNetwork trainingDetect pulmonary nodulesIdentification of lung nodulesIntelligent systemsNodule classificationGround-glass opacity imagesPreprocessing methodsDetect ground-glass opacitiesEvaluation resultsLearningAccuracyAlexNetResNet50PreprocessingImagesThree-dimensional featuresGround-glass opacitiesNetworkFeatures
2018
Navigating the Pulmonary Perfusion Map
Alis J, Latson L, Haramati L, Shmukler A. Navigating the Pulmonary Perfusion Map. Journal Of Computer Assisted Tomography 2018, 42: 840-849. PMID: 30371612, DOI: 10.1097/rct.0000000000000801.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAlgorithmsArtifactsComputed Tomography AngiographyHumansPulmonary EmbolismRadiographic Image Interpretation, Computer-AssistedRadiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedConceptsPulmonary embolismCommon acute cardiovascular diseaseComputed tomography pulmonary angiographyAcute pulmonary embolismTomography pulmonary angiographyAcute cardiovascular diseaseTomography perfusion imagingAcute PEVascular causesPulmonary angiographyPerfusion defectsCardiovascular diseaseCommon causePulmonary perfusionFunctional assessmentHigh-resolution morphological informationPerfusion imagingPerfusion mapsEmbolismUnderstanding of physiologyCauseAngiographyPathophysiologyPerfusionDiseaseAnterior convex lateral orbital wall: distinctive morphology in Apert syndrome
Lu X, Forte AJ, Sawh-Martinez R, Wu R, Cabrejo R, Steinbacher DM, Alperovich M, Alonso N, Persing JA. Anterior convex lateral orbital wall: distinctive morphology in Apert syndrome. British Journal Of Oral And Maxillofacial Surgery 2018, 56: 864-869. PMID: 30337164, DOI: 10.1016/j.bjoms.2018.09.011.Peer-Reviewed Original ResearchAcrocephalosyndactyliaCase-Control StudiesCephalometryChildChild, PreschoolFemaleHumansInfantLongitudinal StudiesMaleOrbitRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedYoung AdultArtificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability
Tajmir S, Lee H, Shailam R, Gale H, Nguyen J, Westra S, Lim R, Yune S, Gee M, Do S. Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability. Skeletal Radiology 2018, 48: 275-283. PMID: 30069585, DOI: 10.1007/s00256-018-3033-2.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAge Determination by SkeletonAlgorithmsArtificial IntelligenceBone Diseases, MetabolicChildChild, PreschoolDeep LearningFemaleHumansMaleRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesConceptsBone age assessmentAutomated artificial intelligenceAI assistanceBone age radiographsConvolutional neural networkDeep learning algorithmsRoot mean square errorMean square errorPediatric radiologistsUtilization of AILearning algorithmsNeural networkArtificial intelligenceIntraclass correlation coefficientImproved performancePooled cohortRadiologist interpretationImaging studiesInter-rater variationAccuracyMetabolic disordersIncreased accuracyRadiologistsAge accuracyMeasures of accuracyReview of targeted therapy in chronic lymphocytic leukemia: what a radiologist needs to know about CT interpretation
Gosangi B, Davids M, Somarouthu B, Alessandrino F, Giardino A, Ramaiya N, Krajewski K. Review of targeted therapy in chronic lymphocytic leukemia: what a radiologist needs to know about CT interpretation. Cancer Imaging 2018, 18: 13. PMID: 29669600, PMCID: PMC5907417, DOI: 10.1186/s40644-018-0146-8.Peer-Reviewed Educational MaterialsMeSH KeywordsAntineoplastic Agents, ImmunologicalHumansLeukemia, Lymphocytic, Chronic, B-CellProtein Kinase InhibitorsRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedConceptsChronic lymphocytic leukemiaLymphocytic leukemiaAssociated adverse eventsCurrent treatment landscapeAdverse eventsTreatment landscapeRadiological featuresPatient populationCT interpretationTargeted treatmentDrug AdministrationMultiple foodsLeukemiaRadiologistsLymphomaTherapyAgentsAdministration
2017
Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network
Wu D, Kim K, Fakhri G, Li Q. Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network. IEEE Transactions On Medical Imaging 2017, 36: 2479-2486. PMID: 28922116, PMCID: PMC5897914, DOI: 10.1109/tmi.2017.2753138.Peer-Reviewed Original ResearchMeSH KeywordsAbdomenAlgorithmsHumansNeural Networks, ComputerRadiation DosageRadiographic Image Interpretation, Computer-AssistedThoraxTomography, X-Ray ComputedConceptsArtificial neural networkIterative reconstruction algorithmNeural networkLow-dose CT reconstructionReconstruction algorithmUnsupervised feature learningReconstructed imagesFeatures of imagesImprove reconstruction qualityNormal-dose imagesDecreasing radiation riskDevelopment of artificial neural networksFeature learningComplex featuresAuto-encoderReconstruction qualityData fidelityMachine learningSuppress noiseSmoothness constraintPhoton fluxPreservation abilityGrand ChallengeNoise reductionPriorsDiagnosis of gastrogastric fistula on computed tomography: a quantitative approach
Gao G, Nezami N, Mathur M, Balcacer P, Israel G, Spektor M. Diagnosis of gastrogastric fistula on computed tomography: a quantitative approach. Abdominal Radiology 2017, 43: 1329-1333. PMID: 28884370, DOI: 10.1007/s00261-017-1304-3.Peer-Reviewed Original ResearchMeSH KeywordsAdultBarium SulfateContrast MediaFemaleGastric BypassGastric FistulaHumansIohexolMalePostoperative ComplicationsRadiographic Image Interpretation, Computer-AssistedSensitivity and SpecificityTomography, X-Ray ComputedQuantitative angiography methods for bifurcation lesions: a consensus statement update from the European Bifurcation Club.
Collet C, Onuma Y, Cavalcante R, Grundeken M, Généreux P, Popma J, Costa R, Stankovic G, Tu S, Reiber JHC, Aben JP, Lassen JF, Louvard Y, Lansky A, Serruys PW. Quantitative angiography methods for bifurcation lesions: a consensus statement update from the European Bifurcation Club. EuroIntervention 2017, 13: 115-123. PMID: 28067200, DOI: 10.4244/eij-d-16-00932.Peer-Reviewed Original ResearchMeSH KeywordsConsensusCoronary AngiographyCoronary Artery DiseaseCoronary StenosisHumansRadiographic Image Interpretation, Computer-AssistedSeverity of Illness IndexSoftware
2016
Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography The International Multicenter FAVOR Pilot Study
Tu S, Westra J, Yang J, von Birgelen C, Ferrara A, Pellicano M, Nef H, Tebaldi M, Murasato Y, Lansky A, Barbato E, van der Heijden LC, Reiber JH, Holm NR, Wijns W, Group F. Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography The International Multicenter FAVOR Pilot Study. JACC Cardiovascular Interventions 2016, 9: 2024-2035. PMID: 27712739, DOI: 10.1016/j.jcin.2016.07.013.Peer-Reviewed Original ResearchMeSH KeywordsAdenosineAdministration, IntravenousAgedArea Under CurveBlood Flow VelocityCardiac CatheterizationChinaComputer SimulationCoronary AngiographyCoronary StenosisCoronary VesselsEuropeFeasibility StudiesFemaleFractional Flow Reserve, MyocardialHumansHyperemiaJapanMaleMiddle AgedModels, CardiovascularMyocardial Perfusion ImagingPilot ProjectsPredictive Value of TestsPrognosisProspective StudiesRadiographic Image Interpretation, Computer-AssistedRegional Blood FlowReproducibility of ResultsROC CurveSeverity of Illness IndexTime FactorsUnited StatesVasodilator AgentsWorkflowConceptsQuantitative flow ratioHyperemic flow velocityReceiver-operating characteristic curveCoronary angiographyDiagnostic accuracyAngiographic percent diameter stenosisDiagnostic coronary angiographyProspective multicenter studyIndependent core laboratoryAdenosine-induced hyperemiaPercent diameter stenosisQuantitative coronary angiographyIntermediate coronary lesionsCharacteristic curveFractional flow reservePositive likelihood ratioOverall diagnostic accuracyNegative likelihood ratioDrug-induced hyperemiaLikelihood ratioCoronary lesionsMulticenter studyDiameter stenosisMaximal hyperemiaFlow reserve
2015
Advances in three-dimensional coronary imaging and computational fluid dynamics
Poon E, Hayat U, Thondapu V, Ooi A, Haq M, Moore S, Foin N, Tu S, Chin C, Monty J, Marusic I, Barlis P. Advances in three-dimensional coronary imaging and computational fluid dynamics. Coronary Artery Disease 2015, 26: e43-e54. PMID: 26247271, DOI: 10.1097/mca.0000000000000219.Peer-Reviewed Original ResearchMeSH KeywordsCardiac CatheterizationCoronary AngiographyCoronary Artery DiseaseCoronary VesselsDiagnostic ImagingFractional Flow Reserve, MyocardialHumansImaging, Three-DimensionalModels, CardiovascularPercutaneous Coronary InterventionPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedTomography, Optical CoherenceTreatment OutcomeConceptsPercutaneous coronary interventionFractional flow reserveCoronary artery diseaseInvasive fractional flow reserveCoronary lesionsArtery diseaseFlow reserveVirtual fractional flow reserveOptical coherence tomographyWidespread clinical useCoronary interventionHaemodynamic significanceInvasive angiogramHigh success rateGold standard techniqueClinicians' understandingCoronary imagingPressure wireCoherence tomographyClinical useInvasive measurementsLesionsSuccess rateAngiographyOngoing studies
2014
Dose reduction in pediatric abdominal CT: use of iterative reconstruction techniques across different CT platforms
Khawaja R, Singh S, Otrakji A, Padole A, Lim R, Nimkin K, Westra S, Kalra M, Gee M. Dose reduction in pediatric abdominal CT: use of iterative reconstruction techniques across different CT platforms. Pediatric Radiology 2014, 45: 1046-1055. PMID: 25427434, DOI: 10.1007/s00247-014-3235-2.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAlgorithmsArtifactsChildChild, PreschoolFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalInfantMaleRadiation DosageRadiographic Image Interpretation, Computer-AssistedRadiography, AbdominalReproducibility of ResultsTomography, X-Ray ComputedConceptsIterative reconstruction techniqueSinogram-affirmed iterative reconstructionAdaptive statistical iterative reconstructionModel-based iterative reconstructionPediatric abdominal CTDose reductionIterative reconstructionAbdominal CTAdaptive iterative dose reductionMagnitude of dose reductionIncreased image noiseStatistical iterative reconstructionAIDR 3DReconstruction techniqueCT examinationsCT scanImage noiseReconstruction algorithmClinical settingDosing potentialClinical applicationImage qualityRadiology communityReconstruction principleImage interpretationLegal Ramifications of Computer-Aided Detection in Mammography
Mezrich JL, Siegel EL. Legal Ramifications of Computer-Aided Detection in Mammography. Journal Of The American College Of Radiology 2014, 12: 572-574. PMID: 25547380, DOI: 10.1016/j.jacr.2014.10.025.Peer-Reviewed Original ResearchBreast NeoplasmsDiagnostic ErrorsEarly DiagnosisFemaleHumansLiability, LegalMalpracticeMammographyMass ScreeningRadiographic Image Interpretation, Computer-AssistedUnited States
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