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Updated: Apr 4, 2026
Flow Cytometric Characterization of Murine B Cell Development
Published on: January 22, 2021
Improved detection of diffuse large B-cell lymphoma by flow cytometric immunophenotyping-Effect of tissue
Bethany D Vallangeon1, Christy Tyer1, Beverly Williams1
1Department of Pathology, Duke University Medical Center, Durham, North Carolina, 27710.
Insights
Manual tissue processing significantly improves flow cytometric immunophenotyping (FCI) for diagnosing diffuse large B-cell lymphoma (DLBCL). This method is especially effective for extra-nodal samples, enhancing diagnostic accuracy.
Area of Science:
- Hematology
- Oncology
- Immunology
Background:
- Flow cytometric immunophenotyping (FCI) is a standard diagnostic tool for B-cell lymphomas.
- Mechanical tissue disaggregation methods can hinder FCI accuracy in diffuse large B-cell lymphoma (DLBCL) diagnosis.
- The efficiency of FCI is dependent on sample preparation techniques.
Purpose of the Study:
- To compare the diagnostic yield of manual versus mechanical tissue disaggregation for FCI in DLBCL.
- To evaluate the impact of sample preparation on identifying clonal B-cell populations in DLBCL.
Main Methods:
- Compared FCI results from DLBCL tissue samples prepared using manual, mechanical, and combined disaggregation methods.
- Reviewed histological and immunohistochemical findings for correlation.
- Analyzed diagnostic yield based on tissue type (nodal vs. extra-nodal).
Main Results:
- Manual disaggregation yielded a higher detection rate of clonal B-cell populations (88.9%) compared to mechanical methods (62.7%).
- Manual processing was particularly effective for extra-nodal DLBCL samples (93.8% detection).
- Mechanical disaggregation showed lower sensitivity, especially for extra-nodal samples (56.8% detection).
Conclusions:
- Manual tissue disaggregation significantly enhances the diagnostic accuracy of FCI for DLBCL.
- This improved diagnostic yield is most pronounced in extra-nodal tissue samples.
- Optimizing sample preparation is crucial for reliable FCI in lymphoma diagnosis.
Background:
Flow cytometric immunophenotyping (FCI) is recognized as a rapid, sensitive, and accurate method for diagnosis of B-cell lymphomas. We observed that FCI failed to identify the clonal B-cell population in several cases of large B-cell lymphoma (DLBCL) when tissue samples were prepared by a commercially available mechanical tissue disaggregation method. We tested a manual tissue disaggregation method and compared it with the mechanical method.
Methods:
FCI findings from 51 cases of DLBCL processed with the mechanical tissue disaggregation method, 27 cases processed using the manual method, and 15 cases processed using a combination of both methods were compared. The histological and immunohistochemical findings in each case were reviewed.
Results:
FCI detected a clonal B-cell population in 88.9% of cases processed by the manual tissue disaggregation method, 66.7% of cases processed by a combination of the manual and mechanical disaggregation methods, and in 62.7% of cases processed solely by the mechanical tissue disaggregation method (P < 0.01 Fisher exact). Manual processing yielded positive FCI results in 81.8% of the nodal tissue samples and 93.8% of the extra-nodal tissue samples, whereas mechanical disaggregation was particularly inefficient in preserving large lymphoma cells from extra-nodal tissue: 71.4% of the nodal and 56.8% of the extra-nodal tissue samples processed by the mechanical method showed clonal B-cells by flow cytometry (P < 0.006, Fisher exact).
Conclusions:
The diagnostic yield of FCI in DLBCL can be significantly improved by utilizing a manual disaggregation method, particularly in extra-nodal tissue samples. © 2015 International Clinical Cytometry Society.
