2018
Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks
Kann BH, Aneja S, Loganadane GV, Kelly JR, Smith SM, Decker RH, Yu JB, Park HS, Yarbrough WG, Malhotra A, Burtness BA, Husain ZA. Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks. Scientific Reports 2018, 8: 14036. PMID: 30232350, PMCID: PMC6145900, DOI: 10.1038/s41598-018-32441-y.Peer-Reviewed Original ResearchConceptsExtranodal extensionNodal metastasisPatient managementNeck cancer patient managementBlinded test setClinical decision-making toolCancer patient managementNeck cancer managementPostoperative pathologyPretreatment identificationCancer managementMetastasisRadiographic identificationCharacteristic curveCliniciansConvolutional neural networkHuman cliniciansNeural networkHeadDeep learning convolutional neural networkLymphDeep learning neural network
2016
The Association Between Evaluation at Academic Centers and the Likelihood of Expectant Management in Low-risk Prostate Cancer
Lester-Coll NH, Park HS, Rutter CE, Corso CD, Mancini BR, Yeboa DN, Kim SP, Gross CP, Yu JB. The Association Between Evaluation at Academic Centers and the Likelihood of Expectant Management in Low-risk Prostate Cancer. Urology 2016, 96: 128-135. PMID: 27392652, DOI: 10.1016/j.urology.2016.06.042.Peer-Reviewed Original ResearchMeSH KeywordsAcademic Medical CentersAgedClinical Decision-MakingHumansMaleMiddle AgedProstatic NeoplasmsRetrospective StudiesRisk AssessmentWatchful WaitingConceptsLow-risk prostate cancerCancer center typeExpectant managementProstate cancerAcademic centersDefinitive treatmentNational Cancer Data BaseHierarchical mixed-effects logistic regression modelsMixed effects logistic regression modelsEffects logistic regression modelsLogistic regression modelsCommunity centersSurvival benefitActive surveillanceCenter typeRetrospective analysisLarge cohortTreatment selectionPertinent covariatesCancerInterfacility variationMenFacility typeFurther investigationRegression models