Emerging Immunohistochemical Biomarkers for Myeloid Neoplasms.
Verma A, Xu ML. Emerging Immunohistochemical Biomarkers for Myeloid Neoplasms. Archives Of Pathology & Laboratory Medicine 2022, 147: 403-412. PMID: 35533352, DOI: 10.5858/arpa.2021-0558-ra.Peer-Reviewed Original ResearchConceptsMyeloid neoplasmsImmunohistochemical biomarkersImmunohistochemical markersManagement of patientsNovel immunohistochemical markerPosttreatment biopsiesImmunohistochemical toolsDisease progressionCorrect diagnosisClinical scenariosNeoplasmsPatient careLiterature searchRelevant biomarkersBiomarkersImmunohistochemistryMolecular biomarkersScientific literature searchMarkersArchival samplesOriginal articlesMolecular eraCurrent eraPatientsBiopsyHistopathologic and Machine Deep Learning Criteria to Predict Lymphoma Transformation in Bone Marrow Biopsies.
Irshaid L, Bleiberg J, Weinberger E, Garritano J, Shallis RM, Patsenker J, Lindenbaum O, Kluger Y, Katz SG, Xu ML. Histopathologic and Machine Deep Learning Criteria to Predict Lymphoma Transformation in Bone Marrow Biopsies. Archives Of Pathology & Laboratory Medicine 2021, 146: 182-193. PMID: 34086849, DOI: 10.5858/arpa.2020-0510-oa.Peer-Reviewed Original ResearchConceptsLarge cell transformationChronic lymphocytic leukemiaBone marrow biopsyMarrow biopsyFollicular lymphomaIndolent B-cell lymphomaLarge lymphoma cellsClinical disease progressionDiagnosis of FLFinal outcome dataB-cell lymphomaLarge tumor cellsEase of procedureAggressive chemotherapyLow morbidityLymph nodesWorse prognosisWhole slide scansHistologic findingsPatient's probabilityDisease progressionLymphocytic leukemiaLymphoma transformationClinical questionsOutcome data