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Abstract

Citation: Clin Oncol. 2021;6(1):1791.DOI: 10.25107/2474-1663-v6-id1791

Lymphoma Diagnosis: Lessons Learned from the Comparison of Histology and Cytology Associated with Flow Cytometry

Guillaume Aussedat, Juliette Fontaine, Luc-Marie Gerland, Alexandra Traverse-Glehen and Lucile Baseggio

Department of Clinical Hematology, Lyon-Sud Hospital Group/Hospices Civils de Lyon, France
Department of Anatomy-Pathology, Lyon-Sud Hospital Group/Hospices Civils de Lyon, France
Specialized Hematology Laboratory, Lyon-Sud Hospital Group/Hospices Civils de Lyon, France

*Correspondance to: Lucile Baseggio 

 PDF  Full Text Case Series | Open Access

Abstract:

For lymphoma diagnosis, the Flow Cytometry (FCM) and cytology associated with FCM (C-FCM) performed on Fine Needle Aspiration (FNA) or cell suspension/imprints from fresh tissue display a good concordance (from 85% to 90%) with the diagnosis made using histological data. Herein is reported a retrospective series of discordant cases, five of them are discussed in details, and some recommendations are proposed for the interpretation of C-FCM data. Firstly, this review highlights the importance of analyzing simultaneously the cytological and FCM data. In particular, the cytological data are crucial to interpret FCM data and/or to complete Ab panels when the strategy of the laboratory is to systematically perform a first screening, which does not always allow detecting lymphoma cells. Secondly, this report underlines that cytology and FCM analysis should be followed by a confrontation/discussion with a pathologist. Finally, C-FCM appears to be a rapid and particularly important technique to guide the choice of the following diagnosis tools (IHC and genetic).

Keywords:

Cytology; Flow cytometry; Lymphoma; Histology

Cite the Article:

Aussedat G, Fontaine J, Gerland L-M, Traverse-Glehen A, Baseggio L. Lymphoma Diagnosis: Lessons Learned from the  Comparison of Histology and Cytology Associated with Flow Cytometry. Clin Oncol. 2021;6:1791..

Journal Basic Info

  • Impact Factor: 3.231**
  • H-Index: 11 
  • ISSN: 2474-1663
  • DOI: 10.25107/2474-1663
  • PubMed NLM ID: 101705590

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