2021
An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy
Perincheri S, Levi AW, Celli R, Gershkovich P, Rimm D, Morrow JS, Rothrock B, Raciti P, Klimstra D, Sinard J. An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy. Modern Pathology 2021, 34: 1588-1595. PMID: 33782551, PMCID: PMC8295034, DOI: 10.1038/s41379-021-00794-x.Peer-Reviewed Original ResearchConceptsMemorial Sloan-Kettering Cancer CenterCore biopsyPredictive valueDiagnostic accuracyProstate core needle biopsiesCore needle biopsySurgical pathology practiceNegative predictive valueProstate core biopsiesPositive predictive valueProstate cancer detectionStrong diagnostic accuracyPoor quality scansCancer detectionCancer CenterProstate biopsyLeading causeNeedle biopsyTransrectal approachProstate cancerProstatic adenocarcinomaProstate carcinomaBiopsyPathology practiceProstate
2019
“Interchangeability” of PD-L1 immunohistochemistry assays: a meta-analysis of diagnostic accuracy
Torlakovic E, Lim HJ, Adam J, Barnes P, Bigras G, Chan AWH, Cheung CC, Chung JH, Couture C, Fiset PO, Fujimoto D, Han G, Hirsch FR, Ilie M, Ionescu D, Li C, Munari E, Okuda K, Ratcliffe MJ, Rimm DL, Ross C, Røge R, Scheel AH, Soo RA, Swanson PE, Tretiakova M, To KF, Vainer GW, Wang H, Xu Z, Zielinski D, Tsao MS. “Interchangeability” of PD-L1 immunohistochemistry assays: a meta-analysis of diagnostic accuracy. Modern Pathology 2019, 33: 4-17. PMID: 31383961, PMCID: PMC6927905, DOI: 10.1038/s41379-019-0327-4.Peer-Reviewed Original ResearchConceptsPD-L1 assaysPD-L1Drug AdministrationDiagnostic accuracyDifferent PD-L1 assaysPD-L1 assessmentPD-L1 immunohistochemistryMain outcome measuresQUADAS-2 criteriaRandom-effects modelDiagnostic accuracy studiesOutcome measuresMEDLINE databaseSystematic reviewPubMed platformSystematic searchAdministrationSearch termsSTARD 2015Accuracy studiesPrimary objectiveAssaysData abstractionDifferent clonesFood