Featured Publications
Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology
Zeevi T, Leapman M, Sprenkle P, Venkataraman R, Staib L, Onofrey J. Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology. IEEE Transactions On Biomedical Engineering 2024, 71: 1084-1091. PMID: 37874731, PMCID: PMC10901528, DOI: 10.1109/tbme.2023.3326799.Peer-Reviewed Original ResearchMagnetic resonance imagingIndividual patientsBiopsy locationProstate biopsy dataBiopsy histopathologyHistopathology scoresPathology scoresBiopsy dataMRI biomarkersTreatment planPatientsResonance imagingProstate regionBiomarkersTherapy treatment plansPathologyRepresentative sampleScoresImaging analysisPrevious studiesHistopathologyProstateCancerClinicians
2023
Machine learning to predict future PSA in patients with prostate cancer managed with active surveillance.
Ayed A, Saillard C, Onofrey J, Moon I, Chang S, Feldman A, Nayan M. Machine learning to predict future PSA in patients with prostate cancer managed with active surveillance. Journal Of Clinical Oncology 2023, 41: e17098-e17098. DOI: 10.1200/jco.2023.41.16_suppl.e17098.Peer-Reviewed Original ResearchActive surveillanceAS patientsProstate cancerPSA valuesClinical featuresDiagnosis of PCaTertiary academic centerElectronic health record dataHealth record dataMean PSAPCa patientsProstate volumePSA measurementsSerial assessmentPSA assessmentPatientsAcademic centersPSARecord dataComplete dataCancerFurther validationDiagnosisSubsequent assessmentRegression models