Featured Publications
Histopathologic 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
2019
ALCL by any other name: the many facets of anaplastic large cell lymphoma
Irshaid L, Xu ML. ALCL by any other name: the many facets of anaplastic large cell lymphoma. Pathology 2019, 52: 100-110. PMID: 31706671, DOI: 10.1016/j.pathol.2019.09.007.Peer-Reviewed Original ResearchConceptsAnaplastic large cell lymphomaAnaplastic lymphoma kinaseALK gene translocationALK(-) ALCLLarge cell lymphomaALK gene rearrangementVariable prognosisFavorable prognosisCell lymphomaGene rearrangementsNon-Hodgkin T-cell lymphomaExtent of diseaseLarge lymphoma cellsT-cell lymphomaGene translocationSpecific gene rearrangementsPatient demographicsIntermediate prognosisDismal prognosisImmunohistochemical phenotypeClinical behaviorFavorable outcomeDifferential diagnosisImplant placementSkin lesions