A method for the quantification of cellular composition in lymphoma biopsies

Area of Science:

• Hematopathology
• Oncology
• Cell Biology

Background:

• Accurate classification of lymphoma cells is crucial for diagnosing and managing non-Hodgkin lymphomas.
• Conventional histological methods may face challenges with cellular profile variations due to sectioning planes.

Purpose of the Study:

• To develop and validate a quantifiable method for classifying and quantifying lymphoma cells in non-Hodgkin lymphomas.
• To assess the reproducibility and reliability of the proposed cell classification system.

Main Methods:

• Defined distinct lymphoma cell types (small, medium, large lymphoid cells) based on morphology.
• Utilized differential counts on haematoxylin and eosin stained paraffin-embedded sections.
• Evaluated intra-observer agreement for cell type classification and overall size categories.

Main Results:

• Intra-observer agreement for specific cell types ranged from 43-85%, while agreement for size categories (small, medium, large) was high (85-92%).
• Tangential cutting minimally impacted differential counts, with 92% consistency across different sectional planes of the same cells.
• Quantification revealed minor intra-lymphoma variations but significant inter-lymphoma variations in cellular composition.

Conclusions:

• The developed method offers high reproducibility in lymphoma cell type classification.
• The quantifiable approach demonstrates suitability for histological evaluation of non-Hodgkin lymphomas.
• This method enhances diagnostic accuracy by accounting for cellular morphology and composition.