Image morphometry of acute leukemias. Comparison between lymphoid and myeloid subtypes

Logasundaram Rajesh1, Sanjib Kumar Pattari, Gurjeewan Garewal

  • 1Department of Pathology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Insights

Image morphometry shows potential in distinguishing acute lymphoblastic leukemia (ALL-L2) from acute myeloid leukemia (AML-M1 and AML-M2) subtypes. Specific nuclear features like average optical density and pixel grey value variance were significant between ALL-L2 and AML-M2 blasts.

Area of Science:

  • Hematology
  • Medical Imaging
  • Computational Pathology

Background:

  • Distinguishing between acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) subtypes is critical for effective treatment.
  • Morphological classification of leukemia blasts can be challenging, necessitating advanced diagnostic tools.

Purpose of the Study:

  • To evaluate the utility of image morphometry in differentiating ALL-L2 blasts from AML-M1 and AML-M2 blasts.
  • To identify specific morphometric parameters that can aid in leukemia subtyping.

Main Methods:

  • Analysis of May-Grünwald-Giemsa stained bone marrow smears from 10 cases each of ALL-L2, AML-M1, and AML-M2.
  • Quantitative analysis of at least 100 blast cells per case using an image cytometer.
  • Measurement of nuclear features including area, roundness, optical density, and grey value variance.

Main Results:

  • Considerable overlap in most morphometric variables was observed between the three leukemia subtypes.
  • Nuclear 'roundness' showed statistical significance between AML-M1 and ALL-L2, but lacked sufficient power for reliable differentiation.
  • 'Average optical density' and 'pixel grey value variance' demonstrated statistical significance with full power for differentiating ALL-L2 from AML-M2 blasts.

Conclusions:

  • Image morphometry, particularly specific nuclear features, shows promise as an adjunct tool for differentiating lymphoid and myeloid leukemia subtypes.
  • Further research with larger sample sizes may refine the role of image morphometry in leukemia diagnostics.
Abstract

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