2025
Using natural language processing to identify emergency department patients with incidental lung nodules requiring follow‐up
Moore C, Socrates V, Hesami M, Denkewicz R, Cavallo J, Venkatesh A, Taylor R. Using natural language processing to identify emergency department patients with incidental lung nodules requiring follow‐up. Academic Emergency Medicine 2025, 32: 274-283. PMID: 39821298, DOI: 10.1111/acem.15080.Peer-Reviewed Original ResearchNatural language processingIncidental lung nodulesFollow-upChest CTsCT reportsF1 scoreLung nodulesEmergency departmentLanguage processingFollow-up of incidental findingsIncidental findingNatural language processing developersAbsence of malignancyMetrics of precisionNatural language processing pipelineNatural language processing metricsChest CT reportsRecommended follow-upEmergency department patientsFollow-up rateLanguage modelLung cancerReduce errorsMalignancyDepartment patients
2024
Next-generation digital chest tomosynthesis
Gange C, Ku J, Gosangi B, Liu J, Maolinbay M. Next-generation digital chest tomosynthesis. Journal Of Clinical Imaging Science 2024, 14: 22. PMID: 38975057, PMCID: PMC11225395, DOI: 10.25259/jcis_4_2024.Peer-Reviewed Original ResearchRadiation doseLow dose chest CTLung phantomLung nodulesEffective radiation dosePlane resolutionLow radiation doseLow dose CTPhantomSimulated pulmonary nodulesChest CTChest radiologistsHealthy volunteersPulmonary nodulesDose CTAnatomical locationNodule detectionImaging characteristicsTomosynthesisNodulesLungDoseDetect lung nodulesDevicesPotential utility
2023
Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies
Zyla J, Marczyk M, Prazuch W, Sitkiewicz M, Durawa A, Jelitto M, Dziadziuszko K, Jelonek K, Kurczyk A, Szurowska E, Rzyman W, Widłak P, Polanska J. Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies. Biomolecules 2023, 14: 44. PMID: 38254644, PMCID: PMC10813699, DOI: 10.3390/biom14010044.Peer-Reviewed Original ResearchSerum metabolomicsComputed tomography lung cancer screeningLow-dose computed tomography (LDCT) lung cancer screeningLung cancer screening studyTomography lung cancer screeningLung cancer screeningCancer screening studyLung cancer diagnosisCollected cohortCancer screeningLung cancerSerum metabolomeBenign lesionsPulmonary nodulesMetabolomic evaluationAuxiliary biomarkerLogistic regressionDiagnosisCancer diagnosisLung nodulesMalignant nodulesScreening studyPatientsRadiomicsMolecular featuresChest Wall Anomaly Presenting as Pulmonary Nodule
Ely S, Van Udelsman B, Bader A, Woodard G. Chest Wall Anomaly Presenting as Pulmonary Nodule. Annals Of Thoracic Surgery Short Reports 2023, 2: 88-90. PMID: 39790260, PMCID: PMC11708574, DOI: 10.1016/j.atssr.2023.11.021.Peer-Reviewed Original ResearchBrief Report: Increasing Prevalence of Ground-Glass Nodules and Semisolid Lung Lesions on Outpatient Chest Computed Tomography Scans
Woodard G, Udelsman B, Prince S, Blasberg J, Dhanasopon A, Gange C, Traube L, Mase V, Boffa D, Detterbeck F, Bader A. Brief Report: Increasing Prevalence of Ground-Glass Nodules and Semisolid Lung Lesions on Outpatient Chest Computed Tomography Scans. JTO Clinical And Research Reports 2023, 4: 100583. PMID: 38074773, PMCID: PMC10709040, DOI: 10.1016/j.jtocrr.2023.100583.Peer-Reviewed Original ResearchGround-glass nodulesChest CT scanCT scanLung lesionsHealth systemLarge academic health systemAcademic health systemCross-sectional imagingRadiographic findingsPhysician consultationChest CTDatabase reviewTomography scanRadiographic lesionsAge groupsLesionsStudy periodLung nodulesOutpatient CTRadiology reportsAdult chestCTScansChestNodules
2022
Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology
Joel MZ, Umrao S, Chang E, Choi R, Yang DX, Duncan JS, Omuro A, Herbst R, Krumholz HM, Aneja S. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. JCO Clinical Cancer Informatics 2022, 6: e2100170. PMID: 35271304, PMCID: PMC8932490, DOI: 10.1200/cci.21.00170.Peer-Reviewed Original ResearchStandardizing the Reporting of Incidental, Non-Lung Cancer (Category S) Findings Identified on Lung Cancer Screening Low-Dose CT Imaging
Tanoue LT, Sather P, Cortopassi I, Dicks D, Curtis A, Michaud G, Bader A, Gange C, Detterbeck F, Killam J. Standardizing the Reporting of Incidental, Non-Lung Cancer (Category S) Findings Identified on Lung Cancer Screening Low-Dose CT Imaging. CHEST Journal 2022, 161: 1697-1706. PMID: 35032477, DOI: 10.1016/j.chest.2021.12.662.Peer-Reviewed Educational MaterialsConceptsLung cancer screeningCancer screeningIncidental findingAmerican CollegeLung cancer screening studyLung CT Screening ReportingRelevant specialty societiesLung nodulesCancer screening studyLow-dose CT scansPreventive health maintenanceStandardization of reportingLung cancerS findingsCancer findingsPatient distressLDCT scansCT scanPositive findingsHealth maintenanceCT imagingStandardized reportingSpecialty societiesScreening studyPotential harm
2021
Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia: clinical characteristics and progression to carcinoid tumour
Sun TY, Hwang G, Pancirer D, Hornbacker K, Codima A, Lui NS, Raj R, Kunz P, Padda SK. Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia: clinical characteristics and progression to carcinoid tumour. European Respiratory Journal 2021, 59: 2101058. PMID: 34795035, PMCID: PMC8792466, DOI: 10.1183/13993003.01058-2021.Peer-Reviewed Original ResearchConceptsDiffuse idiopathic pulmonary neuroendocrine cell hyperplasiaIdiopathic pulmonary neuroendocrine cell hyperplasiaPulmonary neuroendocrine cell hyperplasiaElderly white womenNeuroendocrine cell hyperplasiaBasement membraneSuch hyperplasiaClinical characteristicsCarcinoid tumorsCell hyperplasiaIdentifiable causeLung diseasePreinvasive lesionsRare diseaseTumorsWhite womenNeuroendocrine cellsLung nodulesHyperplasiaTumourletsDiseaseNodulesNeoplasmsLesionsYearsGeneration of parametric Ki images for FDG PET using two 5‐min scans
Wu J, Liu H, Ye Q, Gallezot J, Naganawa M, Miao T, Lu Y, Chen M, Esserman DA, Kyriakides TC, Carson RE, Liu C. Generation of parametric Ki images for FDG PET using two 5‐min scans. Medical Physics 2021, 48: 5219-5231. PMID: 34287939, DOI: 10.1002/mp.15113.Peer-Reviewed Original ResearchConceptsPopulation-based input functionDynamic FDG-PET scansFDG-PET scansFDG-PETSUV changesPET scansClinical practiceSolid lung nodulesClinical usefulnessLate scansBone marrowRegion of interestLung nodulesInput functionScansPatlak analysisKi imagesMin/T-testCorrelation coefficientTumorsSubjectsNodulesDynamic imagingPET
2020
Management of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic CHEST Expert Panel Report
Mazzone PJ, Gould MK, Arenberg DA, Chen AC, Choi HK, Detterbeck FC, Farjah F, Fong KM, Iaccarino JM, Janes SM, Kanne JP, Kazerooni EA, MacMahon H, Naidich DP, Powell CA, Raoof S, Rivera MP, Tanner NT, Tanoue LK, Tremblay A, Vachani A, White CS, Wiener RS, Silvestri GA. Management of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic CHEST Expert Panel Report. CHEST Journal 2020, 158: 406-415. PMID: 32335067, PMCID: PMC7177089, DOI: 10.1016/j.chest.2020.04.020.Peer-Reviewed Original ResearchConceptsLung cancer screeningStage I non-small cell lung cancerNon-small cell lung cancerCell lung cancerCancer screeningLung nodule evaluationConsensus statementLung nodulesLung cancerClinical stage I non-small cell lung cancerNodule evaluationAnnual lung cancer screeningHigh-risk lung nodulesLung cancer screening programsCHEST Expert Panel ReportCurrent guideline recommendationsCancer screening programsPatient-related factorsCommon clinical scenariosCoronavirus disease 2019Balance of benefitsIndividual patient careCOVID-19 pandemicExpert Panel ReportPotential exposureManagement of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic CHEST Expert Panel Report
Mazzone PJ, Gould MK, Arenberg DA, Chen AC, Choi HK, Detterbeck FC, Farjah F, Fong KM, Iaccarino JM, Janes SM, Kanne JP, Kazerooni EA, MacMahon H, Naidich DP, Powell CA, Raoof S, Rivera MP, Tanner NT, Tanoue LK, Tremblay A, Vachani A, White CS, Wiener RS, Silvestri GA. Management of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic CHEST Expert Panel Report. Journal Of The American College Of Radiology 2020, 17: 845-854. PMID: 32485147, PMCID: PMC7177099, DOI: 10.1016/j.jacr.2020.04.024.Peer-Reviewed Original ResearchConceptsLung cancer screeningCell lung cancerCancer screeningLung nodule evaluationConsensus statementLung nodulesLung cancerStage INodule evaluationAnnual lung cancer screeningHigh-risk lung nodulesLung cancer screening programsClinical stage ICHEST Expert Panel ReportCurrent guideline recommendationsCancer screening programsPatient-related factorsCommon clinical scenariosCoronavirus disease 2019Balance of benefitsIndividual patient careCOVID-19 pandemicExpert Panel ReportPotential exposureGuideline recommendationsManagement of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic: CHEST Expert Panel Report
Mazzone PJ, Gould MK, Arenberg DA, Chen AC, Choi HK, Detterbeck FC, Farjah F, Fong KM, Iaccarino JM, Janes SM, Kanne JP, Kazerooni EA, MacMahon H, Naidich DP, Powell CA, Raoof S, Rivera MP, Tanner NT, Tanoue LK, Tremblay A, Vachani A, White CS, Wiener RS, Silvestri GA. Management of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic: CHEST Expert Panel Report. Radiology Imaging Cancer 2020, 2: e204013. PMID: 33778716, PMCID: PMC7233408, DOI: 10.1148/rycan.2020204013.Peer-Reviewed Original ResearchConceptsLung cancer screeningStage I non-small cell lung cancerNon-small cell lung cancerCell lung cancerCancer screeningLung nodule evaluationConsensus statementLung nodulesLung cancerClinical stage I non-small cell lung cancerNodule evaluationAnnual lung cancer screeningHigh-risk lung nodulesLung cancer screening programsCurrent guideline recommendationsCancer screening programsPatient-related factorsCommon clinical scenariosCoronavirus disease 2019Balance of benefitsIndividual patient careCOVID-19 pandemicPotential exposureGuideline recommendationsSurveillance imagingPerformance of the Vancouver Risk Calculator Compared with Lung-RADS in an Urban, Diverse Clinical Lung Cancer Screening Cohort
Kessler A, Peng R, Mardakhaev E, Haramati L, White C. Performance of the Vancouver Risk Calculator Compared with Lung-RADS in an Urban, Diverse Clinical Lung Cancer Screening Cohort. Radiology Imaging Cancer 2020, 2: e190021. PMID: 33778703, PMCID: PMC7983652, DOI: 10.1148/rycan.2020190021.Peer-Reviewed Original ResearchConceptsLung CT Screening ReportingLung-RADSFalse-negative findingsRadiology's Lung CT Screening ReportingLung cancer screening cohortAccountability Act-compliant retrospective studyLung cancer screening programsLung-RADS scoreInstitutional review board approvalCancer screening programsLung nodulesLung cancer screeningRisk of cancerReview board approvalDiverse clinical settingsMean followScreening cohortRetrospective studyRisk calculatorCancer screeningLung cancerScreening programStudy populationLung cancer detectionAmerican College
2018
Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected dose
Ye Q, Wu J, Lu Y, Naganawa M, Gallezot JD, Ma T, Liu Y, Tanoue L, Detterbeck F, Blasberg J, Chen MK, Casey M, Carson RE, Liu C. Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected dose. Physics In Medicine And Biology 2018, 63: 175015. PMID: 30095083, PMCID: PMC6158045, DOI: 10.1088/1361-6560/aad97f.Peer-Reviewed Original ResearchConceptsPopulation-based input functionStandardized uptake valueImage-derived input functionLung nodulesClinical trialsTime-activity curvesLow-dose computed tomography (LDCT) screeningLung cancer mortality ratesIndeterminate lung nodulesComputed Tomography ScreeningF-FDG PETCancer mortality ratesStatic PET acquisitionVirtual clinical trialsScan durationTomography screeningFDG injectionPET scansMortality rateUptake valueAccurate diagnosisMalignant lung nodulesROC analysisPatient dataMalignant nodules
2017
MET amplification (amp) as a resistance mechanism to osimertinib.
Piotrowska Z, Thress K, Mooradian M, Heist R, Azzoli C, Temel J, Rizzo C, Nagy R, Lanman R, Gettinger S, Evans T, Hata A, Shaw A, Sequist L. MET amplification (amp) as a resistance mechanism to osimertinib. Journal Of Clinical Oncology 2017, 35: 9020-9020. DOI: 10.1200/jco.2017.35.15_suppl.9020.Peer-Reviewed Original Research
2016
Computer-Aided Nodule Assessment and Risk Yield Risk Management of Adenocarcinoma: The Future of Imaging?
Foley F, Rajagopalan S, Raghunath SM, Boland JM, Karwoski RA, Maldonado F, Bartholmai BJ, Peikert T. Computer-Aided Nodule Assessment and Risk Yield Risk Management of Adenocarcinoma: The Future of Imaging? Seminars In Thoracic And Cardiovascular Surgery 2016, 28: 120-126. PMID: 27568149, PMCID: PMC5003324, DOI: 10.1053/j.semtcvs.2015.12.015.Peer-Reviewed Original ResearchConceptsSoftware applicationsNodule assessmentCase stepsPostsurgical patient outcomesComputer-Aided Nodule AssessmentIdentification of nodulesIndividualized patient managementAdjunctive therapyRisk stratificationAggressive tumorsFuture of ImagingPatient outcomesIndividualized managementPatient managementLung adenocarcinomaSuch methodsRelevant diagnostic toolRadiological surveillanceLung nodulesClinical useNoninvasive toolResearch effortsIntrarater variabilityAdenocarcinomaSemiquantitative measure
2015
SVM Based Lung Cancer Diagnosis Using Multiple Image Features in PET/CT
Guo N, Yen R, Fakhri G, Li Q. SVM Based Lung Cancer Diagnosis Using Multiple Image Features in PET/CT. 2015, 1-4. DOI: 10.1109/nssmic.2015.7582234.Peer-Reviewed Original ResearchIntra-tumor heterogeneityLung cancer diagnosisF-FLTCT textureStage malignancyLung cancerStaging of lung cancerCT texture featuresAdvanced stage malignanciesEarly stage malignancyImprove tumor stagingCancer diagnosisImage featuresPET/CT scansPET/CT imagingTumor stageTumor heterogeneityCancer stageDiagnostic accuracyPatient groupClinical valuePET/CTGold standardLung nodulesPET imaging
2014
Cost Effectiveness of Biopsy Prior to Stereotactic Body Radiation Therapy (SBRT) for Screening-Detected FDG-Avid Lung Nodules
Rutter C, Lester-Coll N, Yu J, Decker R. Cost Effectiveness of Biopsy Prior to Stereotactic Body Radiation Therapy (SBRT) for Screening-Detected FDG-Avid Lung Nodules. International Journal Of Radiation Oncology • Biology • Physics 2014, 90: s137. DOI: 10.1016/j.ijrobp.2014.05.593.Peer-Reviewed Original Research
2010
CT characteristics of lung nodules present at diagnosis of extrapulmonary malignancy in children.
Silva CT, Amaral JG, Moineddin R, Doda W, Babyn PS. CT characteristics of lung nodules present at diagnosis of extrapulmonary malignancy in children. American Journal Of Roentgenology 2010, 194: 772-8. PMID: 20173158, DOI: 10.2214/ajr.09.2490.Peer-Reviewed Original ResearchConceptsExtrapulmonary malignanciesCT characteristicsLung nodulesBilateral lung nodulesOncology servicesChest CTPathology resultsCommon findingRetrospective analysisMalignant lesionsBenign lesionsMalignancyBiopsyPeripheral distributionCT attenuationSolid attenuationCTChildrenNodulesLesionsDiagnosisNodule featuresSubgroupsCT imagesVariety of patterns
2009
Computer-aided detection for the identification of pulmonary nodules in pediatric oncology patients: initial experience
Helm EJ, Silva CT, Roberts HC, Manson D, Seed MT, Amaral JG, Babyn PS. Computer-aided detection for the identification of pulmonary nodules in pediatric oncology patients: initial experience. Pediatric Radiology 2009, 39: 685-693. PMID: 19418048, DOI: 10.1007/s00247-009-1259-9.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAlgorithmsArtificial IntelligenceChildChild, PreschoolFemaleHumansLung NeoplasmsMaleObserver VariationPattern Recognition, AutomatedPilot ProjectsRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSensitivity and SpecificitySolitary Pulmonary NoduleTomography, X-Ray ComputedConceptsPediatric oncology patientsPulmonary nodulesSensitivity of CADOncology patientsPediatric patientsPrimary tumorIRB approvalPediatric radiologistsMethodsCT scansInitial experiencePatientsLung nodulesNodule sizeNodulesAvailable CAD systemPerformance of CADRadiologistsComputer-aided detectionInitial findingsLow numberRadiologists' sensitivityObjectiveToTumorsSensitivity
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