2020
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies
Raciti P, Sue J, Ceballos R, Godrich R, Kunz J, Kapur S, Reuter V, Grady L, Kanan C, Klimstra D, Fuchs T. Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies. Modern Pathology 2020, 33: 2058-2066. PMID: 32393768, PMCID: PMC9235852, DOI: 10.1038/s41379-020-0551-y.Peer-Reviewed Original ResearchConceptsWhole slide imagesProstate needle core biopsiesArtificial intelligence systemsNeedle core biopsyIntelligent systemsCore biopsyProstate cancerState-of-the-artDetection of prostate cancerMachine learning algorithmsCore needle biopsyHigh test accuracyLow grade tumorsWell-differentiated cancersStained with hematoxylin and eosinAverage sensitivityLearning algorithmsHematoxylin and eosinGenitourinary pathologistsGrade tumorsNeedle biopsyDetection systemPathological diagnosisStatistically significant changesAncillary studies
2005
Characterization of Micrometastatic Disease in Melanoma Sentinel Lymph Nodes by Enhanced Pathology
Spanknebel K, Coit D, Bieligk S, Gonen M, Rosai J, Klimstra D. Characterization of Micrometastatic Disease in Melanoma Sentinel Lymph Nodes by Enhanced Pathology. The American Journal Of Surgical Pathology 2005, 29: 305-317. PMID: 15725798, DOI: 10.1097/01.pas.0000152134.36030.b7.Peer-Reviewed Original ResearchConceptsEnhanced pathologic analysisPositive sentinel lymph nodeSentinel lymph nodeRoutine pathological analysisHematoxylin and eosinHMB-45S-100 proteinPathological analysisS-100SLN positivityMetastatic melanomaMelanoma patientsLymph nodesStudy of sentinel lymph nodesSentinel lymph node biopsy procedureAnalysis of sentinel lymph nodesClinical significanceMelanoma sentinel lymph nodesMethod of pathological analysisNegative sentinel lymph nodesSentinel lymph node tissuesSentinel lymph node statusHematoxylin and eosin slidesMetastatic melanoma depositsDisease-specific survival
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