2020
A National Study of Surgically Managed Atypical Pulmonary Carcinoid Tumors
Walters SL, Canavan ME, Salazar MC, Resio BJ, Blasberg JD, Mase V, Boffa DJ. A National Study of Surgically Managed Atypical Pulmonary Carcinoid Tumors. The Annals Of Thoracic Surgery 2020, 112: 921-927. PMID: 33159862, DOI: 10.1016/j.athoracsur.2020.09.029.Peer-Reviewed Original ResearchConceptsAtypical pulmonary carcinoid tumorsPulmonary carcinoid tumorsCarcinoid tumorsCarcinoid patientsAtypical carcinoidStage IMultivariable Cox proportional hazards regressionNon-small cell lung cancerCox proportional hazards regressionAtypical carcinoid patientsTypical pulmonary carcinoidNational Cancer DatabasePredictors of survivalOptimal surgical managementAtypical carcinoid tumorCell lung cancerProportional hazards regressionKaplan-Meier survivalLong-term survivalNodal upstagingSurgical resectionMultivariable analysisSurgical managementHazards regressionLarge tumors
2019
Quantitative FDG PET/CT may help risk-stratify early-stage non-small cell lung cancer patients at risk for recurrence following anatomic resection
Harmon S, Seder CW, Chen S, Traynor A, Jeraj R, Blasberg JD. Quantitative FDG PET/CT may help risk-stratify early-stage non-small cell lung cancer patients at risk for recurrence following anatomic resection. Journal Of Thoracic Disease 2019, 11: 1106-1116. PMID: 31179052, PMCID: PMC6531752, DOI: 10.21037/jtd.2019.04.46.Peer-Reviewed Original ResearchDisease-free survivalSquamous cell carcinomaNon-small cell lung cancer patientsStandardized uptake valueCell lung cancer patientsEarly-stage NSCLCLung cancer patientsDisease recurrenceAnatomic resectionOverall survivalCancer patientsF-fluorodeoxyglucose positron emission tomography/computerized tomographyEarly stage non-small cell lung cancer patientsStage I/II NSCLC patientsPositron emission tomography/computerized tomographyCox proportional hazards regressionFDG PET/CTTomography/computerized tomographyQuantitative FDG-PET/CTPathologic node statusYears of resectionPreoperative risk factorsHigh-risk patientsSignificant univariate predictorsPrimary tumor volume