2022
Survival analysis of localized prostate cancer with deep learning
Dai X, Park JH, Yoo S, D’Imperio N, McMahon BH, Rentsch CT, Tate JP, Justice AC. Survival analysis of localized prostate cancer with deep learning. Scientific Reports 2022, 12: 17821. PMID: 36280773, PMCID: PMC9592586, DOI: 10.1038/s41598-022-22118-y.Peer-Reviewed Original ResearchConceptsProstate cancer mortalityComposite outcomeCancer mortalityRisk predictionTime-dependent c-statisticsProstate-specific antigen (PSA) testLarge integrated healthcare systemLocalized prostate cancerElectronic health record dataClinical decision-making processProstate cancer patientsIntegrated healthcare systemProstate Cancer Risk PredictionHealth record dataLarge-scale electronic health record dataRisk prediction modelCancer risk predictionAntigen testC-statisticCancer patientsProstate cancerClinical decision systemSurvival analysisVeterans AffairsDeep learning
2020
Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans.
Danciu I, Erwin S, Agasthya G, Janet T, McMahon B, Tourassi G, Justice A. Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans. Journal Of Clinical Oncology 2020, 38: e17554-e17554. DOI: 10.1200/jco.2020.38.15_suppl.e17554.Peer-Reviewed Original ResearchDisease progressionClinical data warehouseLast PSAPSA valuesEarly-stage prostate cancerSEER summary stageTime of diagnosisAppropriate treatment planProstate cancer patientsStage prostate cancerHealth record dataProstate cancer diagnosisEvidence-based approachClinical decision supportCancer RegistryRadium-223Cancer patientsGleason scoreSummary stageLaboratory valuesProstate cancerTreatment planOutcome predictionDiagnosisPSA