2021
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 dataClinical and Molecular Approach to Adult-Onset, Neoplastic Monocytosis
Shallis RM, Siddon AJ, Zeidan AM. Clinical and Molecular Approach to Adult-Onset, Neoplastic Monocytosis. Current Hematologic Malignancy Reports 2021, 16: 276-285. PMID: 33890194, DOI: 10.1007/s11899-021-00632-6.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsPersistent monocytosisAppropriate diagnosisMyelomonocytic leukemiaPCM1-JAK2 fusionChronic myelomonocytic leukemiaAcute myeloid leukemiaAcute myelomonocytic leukemiaNegative predictive valuePurpose of ReviewInMyelodysplastic syndromeReactive monocytosisFGFR1 rearrangementAdult onsetMyeloid leukemiaMonocytosisBCR-ABL1Predictive valueASXL1 mutationsMyeloproliferative neoplasmsDiagnostic approachCytometric analysisMarrow tissuesLeukemiaDiagnosisMonocytic differentiation
2020
Disseminated, yet dissembled: Rare infections behind the veil of classical hairy cell leukemia
Shallis RM, Patel TH, Podoltsev NA, Xu ML, Azar MM, Gore SD. Disseminated, yet dissembled: Rare infections behind the veil of classical hairy cell leukemia. Leukemia Research 2020, 90: 106315. PMID: 32036123, DOI: 10.1016/j.leukres.2020.106315.Peer-Reviewed Case Reports and Technical Notes