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Updated: Jul 6, 2026
Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
Published on: November 3, 2018
[Application of flow cytometric immunophenotypic analysis in the diagnosis of malignant lymphoma]
Li-Qun Ren1, Li-Yan Xue, Rui Bi
1Department of Pathology, Cancer Hospital/Institute, CAMS & PUMC, Beijing 100021, China.
Insights
Flow cytometric immunophenotyping (FCI) aids lymphoma diagnosis, showing high concordance with morphology. This method is crucial for differentiating malignant lymphoma types.
Area of Science:
- Hematology
- Immunology
- Oncology
Context:
- Accurate diagnosis of lymphoma is critical for effective treatment.
- Morphological diagnosis alone can be challenging for certain lymphoma subtypes.
- Flow cytometric immunophenotyping (FCI) offers a rapid and sensitive method for cellular analysis.
Purpose:
- To evaluate the diagnostic and differential diagnostic value of FCI in lymphoma.
- To elucidate the immunophenotypic characteristics of malignant lymphomas.
- To compare FCI results with histopathological diagnoses.
Summary:
- Seventy-four lymph node samples were analyzed using multi-parameter FCI and compared to histopathology.
- FCI showed an overall concordance of 82.4% with the final morphological diagnosis.
- High concordance rates were observed for B-cell non-Hodgkin's lymphoma (93.5%) and T-cell non-Hodgkin's lymphoma (100%).
Impact:
- FCI provides valuable data for lymphoma diagnosis and differential diagnosis.
- It serves as an essential complementary tool to morphological assessment.
- This technique enhances diagnostic accuracy, potentially improving patient management.
Objective:
To explore the value of flow cytometric immunophenotyping (FCI) in the diagnosis and differentiated diagnosis of lymphoma and explain the immunophenotypic features and differences of malignant lymphoma.
Methods:
Seventy four fresh samples of suspicious lymphoma were collected from Nov. 2004 to Aug. 2006. Each sample was individually evaluated by FCI. The results were analyzed and compared with the histopathological diagnosis.
Results:
Among the 74 cases, the FCI data consisted with the final morphological diagnosis in 61 cases (82.4%). For the diagnosis of B and T non-Hodgkin's lymphoma (NHL), thymoma, carcinoma and benign lesions of lymph node, the concordance between FCI data and morphological diagnosis were 93.5%, 100%, 100%, 100% and 81.3%, respectively.
Conclusion:
Multi-parameter FCI analysis can provide important information and help for diagnosis of lymphoma. It is an assistant but necessary approach for the diagnosis and differential diagnosis of lymphoma.
