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
Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade
Lu S, Stein JE, Rimm DL, Wang DW, Bell JM, Johnson DB, Sosman JA, Schalper KA, Anders RA, Wang H, Hoyt C, Pardoll DM, Danilova L, Taube JM. Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade. JAMA Oncology 2019, 5: 1195-1204. PMID: 31318407, PMCID: PMC6646995, DOI: 10.1001/jamaoncol.2019.1549.Peer-Reviewed Original ResearchAnti-PD-1/PD-L1 therapyPD-L1 immunohistochemistryTumor mutational burdenPD-L1 therapyGene expression profilingMutational burdenAnti-PD-1/PD-L1 treatmentPD-1/PD-L1 checkpoint blockadeAnti-PD-1/PD-L1Tumor typesPD-L1 checkpoint blockadeDifferent solid tumor typesPD-L1 treatmentPretreatment tumor tissueImmunotherapy of cancerDrug Administration approvalSearch of PubMedMeta-Analyses (PRISMA) guidelinesSolid tumor typesNegative predictive valuePreferred Reporting ItemsAnnual meeting abstractsNegative likelihood ratioRelative diagnostic performanceCheckpoint blockade