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Published on: March 26, 2018
Correlation of morphologic and cytochemical diagnosis with flowcytometric analysis in acute leukemia
Sushma Belurkar1, Himabindu Mantravadi, Chethan Manohar
1Department of Pathology, Kasturba Medical College, Manipal, India. sushbelur@gmail.com
Insights
Flow cytometry (FCA) confirms acute leukemia diagnoses with 86% concordance to morphology and cytochemistry. FCA is crucial for subtyping acute leukemias, influencing treatment and prognosis.
Area of Science:
- Hematology
- Oncology
- Immunology
Background:
- Acute leukemia classification has evolved significantly.
- Immunophenotyping is increasingly vital for acute leukemia treatment and prognosis.
- Flow cytometry (FCA) assesses leukemic cell antigens for diagnosis and outcome prediction.
Purpose of the Study:
- Compare morphologic and cytochemical diagnoses with flowcytometric diagnoses in acute leukemia.
- Evaluate the utility of FCA compared to traditional morphology.
Main Methods:
- Analyzed 50 cases of acute leukemia.
- Utilized flow cytometry (FCA) to assess leukemic cell antigens.
- Compared FCA results with morphologic and cytochemical findings.
Main Results:
- Achieved an 86% concordance rate between morphologic/cytochemical and FCA diagnoses.
- Complete concordance in 58%, partial in 22%, and non-concordance in 4% of cases.
- FCA aided subclassification in 16% of cases where morphology/cytochemistry were insufficient, identifying specific B-cell (CD19, CD20), T-cell (CD3), and myeloid (CD13, CD33) markers.
Conclusions:
- FCA confirms morphologic diagnoses and assigns lineage, especially in acute lymphoid leukemia.
- Immunophenotyping via FCA is critical for accurate acute leukemia classification.
- Accurate classification significantly impacts treatment strategies and patient prognosis.
Introduction:
The classification of acute leukemias has revolutionized over the years. Immunophenotyping of acute leukemia has gained popularity because of its influence on treatment and prognosis of the disease. The various antigens expressed by the leukemic cells can be assessed by flowcytometry (FCA) and can be used in rendering specific treatment and predicting the outcome of the different types of acute leukemia.
Aims:
The main aim of this study was to compare the morphologic and cytochemical diagnoses with flowcytometric diagnoses in acute leukemia and to analyze the usefulness of FCA over morphology.
Results:
In this study we analyzed 50 cases of acute leukemia and found concordance rate as high as 86% between morphologic/cytochemical diagnosis and flowcytometric diagnosis. Of these, complete concordance was seen in 58% of the cases and partial concordance was seen in 22% of the cases. Non-concordance was seen in only 4% of our cases. In remaining 16% of our cases FCA helped in sub classifying the acute leukemia where morphology and cytochemistry had failed to do so. CD19 and 20 were found to be consistent B-cell markers and CD3 was a very specific marker for T-cell leukemia. CD13 and 33 were important myeloid markers and were aided by other secondary panel of markers like CD14, CD117 and CD41.
Conclusion:
FCA not only helps in confirming morphologic diagnosis in acute leukemia but also helps in assigning specific lineage to the blasts, particularly in acute lymphoid leukemia. Immunophenotyping is of utmost importance in classifying acute leukemia as it greatly influences the treatment and the prognosis.
