2024
6645 Paraganglioma or Benign Ectopic Thyroid Tissue?
Dower J, MacLeod R, Cardoso B, Matouk C, Mehra S, Riccio G, Williams L, Majumdar S. 6645 Paraganglioma or Benign Ectopic Thyroid Tissue? Journal Of The Endocrine Society 2024, 8: bvae163.2032. PMCID: PMC11454000, DOI: 10.1210/jendso/bvae163.2032.Peer-Reviewed Original ResearchEctopic thyroid tissueBenign thyroid tissueThyroid tissueHealthy 32-year-old womanLateral ectopic thyroid tissueLow likelihood of malignancyRight carotid spaceRight thyroid lobeInternal carotid artery branchesLikelihood of malignancyCarotid artery branchesPermanent tissue sectionsDOTATATE PET/CTCervical adenopathyJaw painNeck dissectionBiochemical workupTumor embolizationMimics malignancyNeck CTNeck MRIPlasma metanephrinesT2 lesionsChest CTThyroid FNANext-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 utilityUnderstanding the Added Value of High-Resolution CT Beyond Chest X-Ray in Determining Extent of Physiologic Impairment
Benn B, Lippitt W, Cortopassi I, Balasubramani G, Barbosa E, Drake W, Herzog E, Gibson K, Chen E, Koth L, Fuhrman C, Lynch D, Kaminski N, Wisniewski S, Carlson N, Maier L. Understanding the Added Value of High-Resolution CT Beyond Chest X-Ray in Determining Extent of Physiologic Impairment. CHEST Journal 2024, 166: 1093-1107. PMID: 38830401, PMCID: PMC11560486, DOI: 10.1016/j.chest.2024.04.031.Peer-Reviewed Original ResearchScadding stageCT featuresLung functionChest radiologistsCT scanAlpha-1 anti-trypsin deficiencyChest computed tomographyChest CT scanChest X-rayIncreasing clinical useCompare demographic featuresAssociated with FEV1Visual scoring systemSarcoidosis stagePulmonary sarcoidosisChest CTCT findingsAssociated with lung functionCT assessmentComputed tomographySarcoidosisClinical useRadiological measurementsCT measurementsScoring systemLung outcomes and related risk factors in patients after SARS-CoV-2 infection: a hospitalised single-centre cohort from Johannesburg, South Africa
Glover N, Ivanova O, Sathar F, Riess F, Shambhu R, Mekota A, Zurba L, Menezes C, van Blydenstein S, Kalla I, Hoelscher M, Saathoff E, Charalambous S, Rachow A. Lung outcomes and related risk factors in patients after SARS-CoV-2 infection: a hospitalised single-centre cohort from Johannesburg, South Africa. EClinicalMedicine 2024, 71: 102588. PMID: 38623400, PMCID: PMC11016864, DOI: 10.1016/j.eclinm.2024.102588.Peer-Reviewed Original ResearchSt George's Respiratory QuestionnaireBody mass indexWorld Health OrganizationRisk factorsChest CTAssessed body mass indexSARS-CoV-2 infectionCOVID-19 severityTB diseaseGeorge's Respiratory QuestionnaireMedian 6MWT distanceChris Hani Baragwanath Academic HospitalSt George's Respiratory Questionnaire total scoreQuality of lifeGt;35 kg/m<sup>2</sup>High-resolution chest CTObservational cohort studySingle-centre cohortPost-SARS-CoV-2 infectionRespiratory QuestionnairePost-COVID-19 sequelaePost-dischargeSARS-CoV-2Significant risk factorsHospitalised adultsDeep learning-based epicardial adipose tissue measurement, maximizing prognostic information from attenuation correction imaging
Shanbhag A, Miller R, Killekar A, Lemley M, Bednarski B, Van Kriekinge S, Kavanagh P, Feher A, Miller E, Bateman T, Liang J, Builoff V, Berman D, Dey D, Slomka P. Deep learning-based epicardial adipose tissue measurement, maximizing prognostic information from attenuation correction imaging. Progress In Biomedical Optics And Imaging 2024, 12930: 129300b-129300b-6. DOI: 10.1117/12.3007914.Peer-Reviewed Original ResearchEpicardial adipose tissueUngated CTMyocardial infarctionEAT volumeRisk stratificationComputed tomographyEAT volume measurementEpicardial adipose tissue measurementsEpicardial adipose tissue volumeAssociated with risk of cardiovascular eventsRisk of cardiovascular eventsMedian follow-upIncreased risk of deathGated computed tomographyImprove risk stratificationAdipose tissue measurementsAssociated with riskRisk of deathAttenuation correction imagesGated CTChest CTNo significant differencePrognostic informationCardiovascular eventsFollow-upEvaluation of automated airway morphological quantification for assessing fibrosing lung disease
Pakzad A, Cheung W, Van Moorsel C, Quan K, Mogulkoc N, Bartholmai B, Van Es H, Ezircan A, Van Beek F, Veltkamp M, Karwoski R, Peikert T, Clay R, Foley F, Braun C, Savas R, Sudre C, Doel T, Alexander D, Wijeratne P, Hawkes D, Hu Y, Hurst J, Jacob J. Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. Computer Methods In Biomechanics And Biomedical Engineering Imaging & Visualization 2024, 12: 2325361. DOI: 10.1080/21681163.2024.2325361.Peer-Reviewed Original ResearchIdiopathic pulmonary fibrosisIdiopathic pulmonary fibrosis patientsDisease extentAbnormal airway dilatationCompared to healthy controlsFibrosing lung diseaseAirway segmentsVolumetric computed tomographyChest CTTraction bronchiectasisAirway dilationAirway measurementsLower lobePulmonary fibrosisAirway abnormalitiesLung diseaseHealthy controlsAirwayCT imagesImaging biomarkersClinical interpretationAirway branchingAutomated quantificationPatientsHealthy participantsSimilarities and differences of interstitial lung disease associated with pathogenic variants in SFTPC and ABCA3 in adults
Diesler R, Legendre M, Si‐Mohamed S, Brillet P, Wemeau L, Manali E, Gagnadoux F, Hirschi S, Lorillon G, Reynaud‐Gaubert M, Bironneau V, Blanchard E, Bourdin A, Dominique S, Justet A, Macey J, Marchand‐Adam S, Morisse‐Pradier H, Nunes H, Papiris S, Traclet J, Traore I, Crestani B, Amselem S, Nathan N, Borie R, Cottin V, network T. Similarities and differences of interstitial lung disease associated with pathogenic variants in SFTPC and ABCA3 in adults. Respirology 2024, 29: 312-323. PMID: 38345107, DOI: 10.1111/resp.14667.Peer-Reviewed Original ResearchConceptsInterstitial lung diseaseChest computed tomographyGround-glass opacitiesInterstitial pneumoniaFibrosing ILDsMulticentre retrospective studyConsecutive adult patientsNonspecific interstitial pneumoniaMedian FVCChest CTMedian timeRadiological patternsClinical characteristicsLung transplantationRare conditionRetrospective studyAdult patientsHistological patternComputed tomographyFollow-upPathogenic variantsLung diseaseSFTPCABCA3Patients
2023
Brief 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
3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients
Di Napoli A, Tagliente E, Pasquini L, Cipriano E, Pietrantonio F, Ortis P, Curti S, Boellis A, Stefanini T, Bernardini A, Angeletti C, Ranieri S, Franchi P, Voicu I, Capotondi C, Napolitano A. 3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients. Journal Of Imaging Informatics In Medicine 2022, 36: 603-616. PMID: 36450922, PMCID: PMC9713092, DOI: 10.1007/s10278-022-00734-4.Peer-Reviewed Original ResearchConceptsIntensive care unit admittanceIntensive care unit admissionIntensive care unitCOVID-19 patientsDeep learning modelsChest CTLaboratory dataPatient mortalityCT imagesRetrospective multicentre studyReal-time reverse transcriptase polymerase chain reactionHospital admissionReverse transcriptase polymerase chain reactionTranscriptase polymerase chain reactionDeep learningPredictive of mortalityChest CT imagesClinical featuresValidation cohortMulticentre studyPolymerase chain reactionDense neural networkTest cohortLung damageInternal validityUsing Routine Chest Computed Tomography to Diagnose Pulmonary Embolism
Chan J, Ho B, Ye K, Haramati L, Jain V. Using Routine Chest Computed Tomography to Diagnose Pulmonary Embolism. Journal Of Computer Assisted Tomography 2022, 46: 888-893. PMID: 36399535, DOI: 10.1097/rct.0000000000001372.Peer-Reviewed Original ResearchConceptsPulmonary embolismPulmonary artery enhancementContrast-enhanced chest CT scansHU thresholdContrast-enhanced chest CTAbsence of PEUnsuspected pulmonary embolismContrast-enhanced chestHounsfield unitsChest CT scanLogistic regression analysisPeripheral enhancementPulmonary vasculatureChest CTFemale sexRoutine chestContrast amountCT scanPulmonary enhancementTotal casesOlder ageEmbolismRegression analysisChestDescriptive statisticsThe role of lung cancer risk and comorbidity in lung cancer screening use
Richman IB, Long JB, Poghosyan H, Sather P, Gross CP. The role of lung cancer risk and comorbidity in lung cancer screening use. Preventive Medicine Reports 2022, 30: 102006. PMID: 36203942, PMCID: PMC9530957, DOI: 10.1016/j.pmedr.2022.102006.Peer-Reviewed Original ResearchLung cancer screeningLung cancer riskDiagnostic chest CTCancer riskLow comorbidityCancer screeningChest CTGreater lung cancer riskHigher lung cancer riskLow-dose computed tomographyCancer screening useLung cancer mortalityDose computed tomographyElectronic health recordsLCS useCohort studyPatient characteristicsEligible adultsCancer mortalityScreening useComorbiditiesComputed tomographyDiagnostic CTDiagnostic imagingPatientsDiseases of the pulmonary arteries: imaging appearances and pearls
Cortopassi IO, Gosangi B, Asch D, Bader AS, Gange CP, Rubinowitz AN. Diseases of the pulmonary arteries: imaging appearances and pearls. Clinical Imaging 2022, 91: 111-125. PMID: 36067656, DOI: 10.1016/j.clinimag.2022.08.018.Peer-Reviewed Educational MaterialsConceptsContrast-enhanced chest CTChest X-rayPulmonary arteryEnlarged pulmonary arteryPulmonary vascular pathologyPulmonary artery anatomyEveryday clinical practiceAsymptomatic patientsImaging findingsPulmonary vasculatureArtery anatomyChest CTUrgent treatmentMediastinal structuresVascular pathologyArteryClinical practicePhysiologic dataEntire thoraxVessel wallPatientsDetailed evaluationPathologyWide spectrumQuantification of flowChronic lung lesions in COVID-19 survivors: predictive clinical model
Carvalho C, Chate R, Sawamura M, Garcia M, Lamas C, Cardenas D, Lima D, Scudeller P, Salge J, Nomura C, Gutierrez M, Araújo A, Segurado A, Montal A, Miethke-Morais A, Levin A, Perondi B, Guedes B, Carmo C, Lázari C, Antonio C, Tanaka C, Leite C, Gomes C, Utiyama E, Burdmann E, Bonfá E, Kallas E, Sabino E, Miguel E, Pinna F, Kawano F, Busatto G, Cerri G, Fonseca G, Souza H, Marcilio I, Rios I, Hallak J, Krieger J, Ferreira J, Marchini J, Oliveira L, Harima L, Batisttella L, Yu L, Castro L, Rocha M, Magri M, Mancini M, de Jesus M, Corrêa M, Francisco M, Rossi M, Silva M, Imamura M, Oliveira M, Gouveia N, Forlenza O, Lotufo P, Bento R, Nitrini R, Damiano R, Chammas R, Francisco R, Fusco S, Barros-Filho T, Mauad T, Guimarães T, Avelino-Silva T, Filho W. Chronic lung lesions in COVID-19 survivors: predictive clinical model. BMJ Open 2022, 12: e059110. PMID: 35697456, PMCID: PMC9195157, DOI: 10.1136/bmjopen-2021-059110.Peer-Reviewed Original ResearchConceptsChest X-rayPredictive clinical modelCOVID-19 survivorsLung lesionsClinical modelLung lesion detectionMMRC scaleChest CTMedical Research Council dyspnoea scaleSARS-CoV-2-infected patientsSARS-CoV-2 infectionCOVID-19 sequelaeSignificant pulmonary abnormalitiesProspective cohort studyGround-glass opacitiesCOVID-19 infectionChronic lung lesionsLesion detectionDyspnoea scalePulmonary involvementTraction bronchiectasisCohort studyCXR findingsHospital dischargePulmonary functionPrecise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT
Park K, Seon H, Yun J, Yoo S, Lee C, Kang S, Kim J, Cho S, Song H, Bom H, Min J, Kwon S. Precise characterization of a solitary pulmonary nodule using tumor shadow disappearance rate-corrected F-18 FDG PET and enhanced CT. Medicine 2022, 101: e28764. PMID: 35119036, PMCID: PMC8812657, DOI: 10.1097/md.0000000000028764.Peer-Reviewed Original ResearchConceptsTumor shadow disappearance rateSolitary pulmonary nodulesF-18 fluorodeoxyglucoseCharacterization of SPNsEnhanced CTPulmonary nodulesTumor areaHigh value of SUVmaxF-18 FDG PETPositron emission tomography/computed tomographyF-18 fluorodeoxyglucose uptakeImaging parametersValue of SUVmaxEmission tomography/computed tomographyStandardized uptake valueTissue densityPost-enhanced CTEnhanced CT imagesPreenhancement CTTomography/computed tomographyChest CTLung windowMediastinal windowUptake valueFDG-PET
2021
Executive Summary Screening for Lung Cancer: Chest Guideline and Expert Panel Report
Mazzone PJ, Silvestri GA, Souter LH, Caverly TJ, Kanne JP, Katki HA, Wiener RS, Detterbeck FC. Executive Summary Screening for Lung Cancer: Chest Guideline and Expert Panel Report. CHEST Journal 2021, 160: 1959-1980. PMID: 34270965, PMCID: PMC8727851, DOI: 10.1016/j.chest.2021.07.003.Peer-Reviewed Original ResearchConceptsNational Lung Screening TrialLow-dose chest CTLung cancerCT screeningChest CTClinical questionsLow-dose CT screeningEvidence baseLow-dose chest CT screeningAdditional clinical questionsScreen-detected findingsScreening-eligible individualsGrading of RecommendationsChest CT screeningStandard of careImportant clinical questionsSystematic literature reviewExpert Panel ReportLow-dose CTCHEST GuidelineCessation interventionsCochrane LibraryGuideline publicationLiterature reviewConsensus statementScreening for Lung Cancer CHEST Guideline and Expert Panel Report
Mazzone PJ, Silvestri GA, Souter LH, Caverly TJ, Kanne JP, Katki HA, Wiener RS, Detterbeck FC. Screening for Lung Cancer CHEST Guideline and Expert Panel Report. CHEST Journal 2021, 160: e427-e494. PMID: 34270968, PMCID: PMC8727886, DOI: 10.1016/j.chest.2021.06.063.Peer-Reviewed Original ResearchConceptsNational Lung Screening TrialLow-dose chest CTLung cancerCT screeningChest CTClinical questionsLow-dose CT screeningEvidence baseLow-dose chest CT screeningAdditional clinical questionsScreen-detected findingsScreening-eligible individualsGrading of RecommendationsChest CT screeningStandard of careImportant clinical questionsSystematic literature reviewExpert Panel ReportLow-dose CTCHEST GuidelineCessation interventionsCochrane LibraryGuideline publicationLiterature reviewConsensus statement
2020
Choice of imaging modality for pre-treatment staging of head and neck cancer impacts TNM staging
Mur T, Sambhu KM, Mahajan A, Payabvash S, Fernandez J, Edwards HA. Choice of imaging modality for pre-treatment staging of head and neck cancer impacts TNM staging. American Journal Of Otolaryngology 2020, 41: 102662. PMID: 32858370, DOI: 10.1016/j.amjoto.2020.102662.Peer-Reviewed Original ResearchConceptsPET/CTLow-dose nonenhanced CTDistant metastasisChest CTNeck cancerNonenhanced CTF-fluorodeoxyglucose positron emission tomographyF-FDG PET/CTDiagnostic chest CTDistant metastatic diseaseInitiation of therapyRetrospective cohort studyPre-treatment stagingTertiary care settingSignificant differencesPositron emission tomographyMetastatic diseaseCohort studyOncologic treatmentTNM stagingInaccurate stagingNeck radiologistsCare settingsSingle patientPatientsDiagnostic Value of CT of Chest, Abdomen, and Pelvis in Patients With Solitary and Multiple Brain Lesions.
Rothman RK, Weinreb J, Zucconi W, Malhotra A. Diagnostic Value of CT of Chest, Abdomen, and Pelvis in Patients With Solitary and Multiple Brain Lesions. American Journal Of Roentgenology 2020, 214: 636-640. PMID: 31939701, DOI: 10.2214/ajr.19.22051.Peer-Reviewed Original ResearchConceptsPrimary neoplasmsBrain lesionsChest CTIntracranial lesionsCT CAPAncillary signsBrain neoplasmsNew intracranial lesionsPrimary brain neoplasmsMultiple brain lesionsMalignant brain neoplasmsLarge academic hospitalPresence of enhancementBrain metastasesLung primaryMetastatic workupSuch patientsPrimary cancerLesion characteristicsAcademic hospitalBenign entityCT scanPatientsMalignant casesNeoplasms
2018
Ventricular Myocardial Fat: An Unexpected Biomarker for Long-term Survival?
Bader AS, Levsky JM, Zalta BA, Shmukler A, Gohari A, Jain VR, Chernyak V, Lovihayeem M, Bellin EY, Haramati LB. Ventricular Myocardial Fat: An Unexpected Biomarker for Long-term Survival? European Radiology 2018, 29: 241-250. PMID: 29948081, DOI: 10.1007/s00330-018-5546-4.Peer-Reviewed Original ResearchConceptsMyocardial fatMI groupCharlson scoreCause mortalityPrior MIRisk stratificationChest CTBetter survivalChronic myocardial infarction patientsTraditional risk prediction modelsCox proportional hazards analysisNon-contrast chest CTMethodsA retrospective cohortCardiovascular risk factorsAge-matched patientsProportional hazards analysisTraditional cardiovascular riskNet reclassification improvementMyocardial infarction patientsUrban academic centerNon-contrast CTMeaningful prognostic valueLong-term survivalRisk prediction modelAdjusted hazardMultifactorial Analysis of Mortality in Screening Detected Lung Cancer
Digumarthy SR, De Man R, Canellas R, Otrakji A, Wang G, Kalra MK. Multifactorial Analysis of Mortality in Screening Detected Lung Cancer. Journal Of Oncology 2018, 2018: 1296246. PMID: 29861726, PMCID: PMC5976935, DOI: 10.1155/2018/1296246.Peer-Reviewed Original ResearchCoronary artery calcificationNational Lung Screening TrialLow-dose CTBody mass indexLung cancerFat attenuationMuscle massLow-dose chest CTLung cancer mortalitySeverity of emphysemaLung cancer stageNLST trialNonsurvivor groupArtery calcificationSmoking historyMass indexCancer mortalityChest CTCancer stageSurvivor groupScreening TrialSurvival timeEmphysemaPatientsCancer
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