Automated bone marrow analysis using the CD4000 automated haematology analyser

Area of Science:

• Hematology
• Clinical Pathology
• Cellular Analysis

Background:

• Microscopic bone marrow analysis is labor-intensive and time-consuming.
• Existing automated analyzers struggle with erythroblast identification, limiting automation.
• Automated methods are needed to improve efficiency and accuracy in bone marrow cell classification.

Purpose of the Study:

• To evaluate the automated analysis of bone marrow aspirates using the CELL-DYN 4000 (CD4000) hematology analyzer.
• To compare automated erythroblast counts with microscopic differential counts.
• To assess the utility of normal and resistant red blood cell (RBC) modes for bone marrow analysis.

Main Methods:

• Automated analysis of 98 bone marrow aspirates using the CD4000 in normal and resistant RBC modes.
• Microscopic differential counts of May-Grünwald-Giesa-stained bone marrow films as a reference method.
• Statistical correlation analysis between automated and microscopic results for cell populations and M/E ratio.

Main Results:

• Significant correlations (P < 0.01) were found between CD4000 and microscopic methods for total nucleated cells, lymphocytes, neutrophils, erythroblasts, and M/E ratio.
• The CD4000 normal mode showed biases towards lower percentages for erythroblasts, lymphocytes, and M/E ratio compared to microscopy.
• The CD4000 resistant RBC mode yielded results that closely approximated microscopic findings for these parameters.

Conclusions:

• The CD4000 hematology analyzer can automate bone marrow analysis, including erythroblast counts.
• The resistant RBC mode of the CD4000 is superior to the normal mode for bone marrow analysis.
• The resistant RBC mode provides a more accurate approximation of the M/E ratio, making it more useful for clinical applications.