2025
Comparative Performance of Machine Learning Models in Reducing Unnecessary Targeted Prostate Biopsies
Chen F, Esmaili R, Khajir G, Zeevi T, Gross M, Leapman M, Sprenkle P, Justice A, Arora S, Weinreb J, Spektor M, Huber S, Humphrey P, Levi A, Staib L, Venkataraman R, Martin D, Onofrey J. Comparative Performance of Machine Learning Models in Reducing Unnecessary Targeted Prostate Biopsies. European Urology Oncology 2025 PMID: 39924390, DOI: 10.1016/j.euo.2025.01.005.Peer-Reviewed Original ResearchProstate cancerPrediction of clinically significant prostate cancerClinical dataProstate-specific antigen levelClinically significant prostate cancerProstate magnetic resonance imagingSeverity of prostate cancerCombination of clinical featuresPrediction of csPCaSignificant prostate cancerProstate Imaging-ReportingCore needle biopsyRetrospective analysis of dataDecision curve analysisReducing unnecessary biopsiesProstate cancer diagnosisReceiver operating characteristic curveArea under the receiver operating characteristic curveFalse-negative rateMagnetic resonance imagingPersonalized risk assessmentAntigen levelsNeedle biopsyPatient ageUnnecessary biopsies
2024
Association Between the Decipher Genomic Classifier and Prostate Cancer Outcome in the Real-world Setting
Leapman M, Ho J, Liu Y, Filson C, Zhao X, Hakansson A, Proudfoot J, Davicioni E, Martin D, An Y, Seibert T, Lin D, Spratt D, Cooperberg M, Sprenkle P, Ross A. Association Between the Decipher Genomic Classifier and Prostate Cancer Outcome in the Real-world Setting. European Urology Oncology 2024 PMID: 39098389, DOI: 10.1016/j.euo.2024.07.010.Peer-Reviewed Original ResearchDecipher genomic classifierRisk of metastasisBiochemical recurrenceRadical prostatectomyGenomic classifierDecipher testProstate cancerProstate Risk Assessment Postsurgical ScoreRisk of biochemical recurrencePatient's prostate cancerRisk of cancer recurrencePathological risk factorsProstate cancer outcomesCox proportional hazards regressionRetrospective cohort studyElectronic health record dataReal-world settingsProportional hazards regressionHealth record dataReal-world practice settingsProstate biopsyRP specimensOncological outcomesPrognostic significanceMedian ageDevelopment of a Longitudinal Prostate Cancer Transcriptomic and Clinical Data Linkage
Leapman M, Ho J, Liu Y, Filson C, Zhao X, Hakansson A, Proudfoot J, Davicioni E, Martin D, An Y, Seibert T, Lin D, Spratt D, Cooperberg M, Ross A, Sprenkle P. Development of a Longitudinal Prostate Cancer Transcriptomic and Clinical Data Linkage. JAMA Network Open 2024, 7: e2417274. PMID: 38874922, PMCID: PMC11179136, DOI: 10.1001/jamanetworkopen.2024.17274.Peer-Reviewed Original ResearchConceptsElectronic health recordsCancer diagnosisClinical data linkageMedicine Clinical TermsPatterns of careProstate cancer diagnosisRadical prostatectomyCancer risk stratificationData linkageHealth recordsClinical dataMain OutcomesCancer outcomesClinical juncturesClinical careCommon Procedural Terminology codesAdministrative dataDiagnosis codesLongitudinal clinical dataCohort studyPharmacy recordsGenomic classifierProcedural Terminology codesDevelopment of prostate cancer metastasisLinkage data
2023
PD38-08 AVOIDING UNNECESSARY TARGETED PROSTATE BIOPSIES USING MACHINE LEARNING
Esmaili R, Khajir G, Leapman M, Sprenkle P, Martin D, Onofrey J. PD38-08 AVOIDING UNNECESSARY TARGETED PROSTATE BIOPSIES USING MACHINE LEARNING. Journal Of Urology 2023, 209: e996. DOI: 10.1097/ju.0000000000003336.08.Peer-Reviewed Original Research
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