Fine Needle Aspiration Cytology in the Investigation on Non-Hodgkin's Lymphoma

Overview

Journal J Clin Pathol

Specialty Pathology

Date 1998 Jul 11

PMID 9659258

Citations 13

Authors

M D Jeffers

J Milton

R Herriot

M McKean

Affiliations

Soon will be listed here.

Abstract

Aims: To assess the value of flow cytometry (FCM) in the diagnosis and classification of reactive lymphoid hyperplasia and malignant lymphoma by fine needle aspiration (FNA) cytology.

Methods: Forty six fine needle aspirates of lymphoproliferative disorders were examined by FCM as well as routine cytological assessment. An immunoglobulin light chain ratio (LCR) was calculated for clonality analysis. Additional immunophenotyping was performed in 15 cases.

Results: All 25 cases of reactive lymphoid hyperplasia were polyclonal by FCM (LCR < 2/1); 17 of 20 cases of B cell non-Hodgkin's lymphoma were monoclonal (LCR > 3/1). Analysis of cells based on size facilitated detection of small populations of clonal neoplastic cells. Analysis of CD5, CD10, and CD23 expression by FCM facilitated subclassification of mantle cell lymphoma, small lymphocytic lymphoma, and some lymphomas of follicle centre cell origin. One case of T cell non-Hodgkin's lymphoma was correctly classified by FCM.

Conclusions: FNA cytology is a reliable method for investigation of lymphoproliferative disorders. Although excision biopsy and histopathological examination remain the gold standard for primary diagnosis and classification of non-Hodgkin's lymphoma, FNA cytology with clonality analysis and immunophenotyping by FCM is useful for distinguishing reactive from neoplastic lymphoid populations, and can facilitate lymphoma classification.

Citing Articles

Analysis of Under-Diagnosed Malignancy during Fine Needle Aspiration Cytology of Lymphadenopathies.

Lee J, Ha H, Kim D, Koh J, Kim E Int J Mol Sci. 2023; 24(15).

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Diffuse Large B-Cell Lymphoma of Thyroid: A Case Report and Review of Literature.

Khanal P, Lageju N, Adhikari B Indian J Otolaryngol Head Neck Surg. 2022; 74(Suppl 2):2287-2290.

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Deep convolutional neural network Inception-v3 model for differential diagnosing of lymph node in cytological images: a pilot study.

Guan Q, Wan X, Lu H, Ping B, Li D, Wang L Ann Transl Med. 2019; 7(14):307.

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Flow immunophenotyping of benign lymph nodes sampled by FNA: Representative with diagnostic pitfalls.

Scott G, Lau H, Kurzer J, Kong C, Gratzinger D Cancer Cytopathol. 2018; 126(9):797-808.

PMID: 30194715 PMC: 6221160. DOI: 10.1002/cncy.22038.

Value of fine needle aspiration cell blocks in the diagnosis and classification of lymphoma.

Zhang S, Yu X, Zheng Y, Yang Y, Xie J, Zhou X Int J Clin Exp Pathol. 2015; 7(11):7717-25.

PMID: 25550808 PMC: 4270562.

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