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Related Experiment Videos

Automatic differential blood counting in plasma cell leukemia.

M Petrini1, M Corini, F Caracciolo

  • 1Servizio di Ematologia, Università, Pisa, Italy.

Haematologica
|May 1, 1990
PubMed
Summary

Primary plasma cell leukemia and multiple myeloma cases show a distinct "cloud" of circulating plasma cells on automated blood counts. This finding aids in differentiating these plasma cell disorders from lymphoid leukemias.

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Area of Science:

  • Hematology
  • Oncology
  • Clinical Pathology

Background:

  • Primary plasma cell leukemia (PPCL) and multiple myeloma (MM) are plasma cell neoplasms characterized by abnormal plasma cell proliferation.
  • Distinguishing these conditions from lymphoid leukemias is crucial for accurate diagnosis and treatment.

Observation:

  • Automated hematology analyzers, specifically the Technicon H-1, were used to analyze blood samples.
  • A significant finding was the presence of a prominent 'cloud' in the large unstained cell region on the analyzer's display.
  • This 'cloud' represents a high concentration of circulating plasma cells.

Findings:

  • The observed 'cloud' in the large unstained cell area is characteristic of PPCL and MM with significant plasma cell circulation.
  • A massive invasion of the basophil area, often seen in certain lymphoid leukemias, was notably absent in these cases.

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  • These distinct patterns aid in differentiating plasma cell neoplasms from lymphoid malignancies.

    • Implications:

    • The Technicon H-1's ability to visualize this 'cloud' offers a valuable diagnostic clue for identifying plasma cell leukemia and multiple myeloma.
    • This automated analysis can assist in the differential diagnosis, potentially reducing the need for more invasive procedures.
    • Understanding these hematologic findings contributes to improved diagnostic strategies for plasma cell disorders.