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
Positron Emission Tomography in Thymic Tumors: Analysis Using a Prospective Research Database
Korst RJ, Fernando S, Catlin AC, Rutledge JR, Girard N, Huang J, Detterbeck F, Database C. Positron Emission Tomography in Thymic Tumors: Analysis Using a Prospective Research Database. The Annals Of Thoracic Surgery 2017, 104: 1815-1820. PMID: 29033016, PMCID: PMC5785101, DOI: 10.1016/j.athoracsur.2017.06.053.Peer-Reviewed Original ResearchConceptsPositron emission tomographyInternational Thymic Malignancy Interest GroupHistologic typeThymic malignanciesPretreatment workupPathologic stageEmission tomographyProspective databaseThymic tumorsTumor stageMaximum standardized uptake valueProspective research databaseHistologic tumor typeThymic epithelial tumorsStandardized uptake valueCharacteristic curveAnalysis of receiverClinicopathologic featuresRare tumorEpithelial tumorsLarge cohortResearch DatabaseUptake valueTumor typesPatientsValidating the Thoracic Revised Cardiac Risk Index Following Lung Resection
Thomas DC, Blasberg JD, Arnold BN, Rosen JE, Salazar MC, Detterbeck FC, Boffa DJ, Kim AW. Validating the Thoracic Revised Cardiac Risk Index Following Lung Resection. The Annals Of Thoracic Surgery 2017, 104: 389-394. PMID: 28499655, DOI: 10.1016/j.athoracsur.2017.02.006.Peer-Reviewed Original ResearchConceptsAdditional cardiac evaluationIschemic heart diseaseLarger multi-institutional datasetsCardiac complicationsLung resectionRenal comorbiditiesCardiac evaluationCerebrovascular diseaseHeart diseaseRisk factorsMulti-institutional datasetSurgeons National Surgical Quality Improvement Program datasetNational Surgical Quality Improvement Program datasetCardiac complication ratesMajor cardiac complicationsPreoperative risk factorsUnderwent pneumonectomyCardiac indexComplication ratePrimary outcomeRisk classesMalignant diseaseOpen procedureAmerican CollegeHigh risk
2016
A model for predicting prolonged length of stay in patients undergoing anatomical lung resection: a National Surgical Quality Improvement Program (NSQIP) database study
DeLuzio MR, Keshava HB, Wang Z, Boffa DJ, Detterbeck FC, Kim AW. A model for predicting prolonged length of stay in patients undergoing anatomical lung resection: a National Surgical Quality Improvement Program (NSQIP) database study. Interdisciplinary CardioVascular And Thoracic Surgery 2016, 23: 208-215. PMID: 27073262, DOI: 10.1093/icvts/ivw090.Peer-Reviewed Original ResearchConceptsAnatomical lung resectionProlonged lengthLung resectionRisk factorsRisk stratificationNational Surgical Quality Improvement Program database studyAnatomical pulmonary resectionBetter risk stratificationOverall patient outcomesHigh-risk populationLength of stayExternal validation groupLogistic regression analysisPostoperative complicationsPostoperative variablesPulmonary resectionNSQIP databaseComparison of receiverPatient outcomesDatabase studyResectionPatientsStayValidation groupScoring system
2013
A New Method to Predict Postoperative Lung Function: Quantitative Breath Sound Measurements
Detterbeck F, Gat M, Miller D, Force S, Chin C, Fernando H, Sonett J, Morice R. A New Method to Predict Postoperative Lung Function: Quantitative Breath Sound Measurements. The Annals Of Thoracic Surgery 2013, 95: 968-975. PMID: 23369350, DOI: 10.1016/j.athoracsur.2012.07.045.Peer-Reviewed Original ResearchConceptsPostoperative lung functionVibration response imagingLung functionLung resectionPPO valuesPostoperative pulmonary function testsPulmonary function testsRate of complicationsSingle-center studyCategorization of patientsPerfusion measurementsActual postoperative valuesRadiation-free methodRadiation-free alternativeLung malignancyLung scintigraphyFunction testsPostoperative valuesPatient assessmentRegional perfusionElevated riskPatientsLungPerfusion methodPerfusion