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 predictionDiagnosisPSAPredicting prostate cancer death among 98,994 veterans: Differences by race/ethnicity.
Janet T, Danciu I, Justice A, Leapman M, McMahon B, Wadia R. Predicting prostate cancer death among 98,994 veterans: Differences by race/ethnicity. Journal Of Clinical Oncology 2020, 38: e17609-e17609. DOI: 10.1200/jco.2020.38.15_suppl.e17609.Peer-Reviewed Original ResearchProstate cancer deathNon-Hispanic blacksNon-Hispanic whitesVeterans Affairs Healthcare SystemRace/ethnicityHazard ratioGleason scoreCancer deathProstate cancerU.S. Veterans Affairs healthcare systemProstate cancer disease progressionDistant metastatic diseaseProstate cancer mortalityCancer disease progressionLocalized diseasePSA levelsMedian ageMetastatic diseaseLymph nodesPrognostic indexCancer mortalityTumor stageDisease progressionCox modelAge strata