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Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
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Bone marrow cellularity MRI calculation and correlation with bone marrow biopsy.

George R Matcuk1, Imran Siddiqi2, Steven Cen1

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Magnetic resonance imaging (MRI) accurately calculates bone marrow cellularity, correlating with biopsy results. This non-invasive method reveals variations in cellularity across vertebral levels and with patient age.

Keywords:
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Area of Science:

  • Radiology
  • Oncology
  • Pathology

Background:

  • Bone marrow cellularity assessment is crucial for lymphoma staging.
  • Bone marrow biopsy is the current standard but is invasive.
  • Non-invasive imaging methods are needed for reliable cellularity evaluation.

Purpose of the Study:

  • To determine if bone marrow cellularity can be accurately calculated using MRI.
  • To correlate MRI-derived cellularity with bone marrow biopsy findings.
  • To investigate variations in cellularity based on vertebral level and patient age.

Main Methods:

  • Twenty-seven lymphoma patients underwent staging bone marrow biopsies and lumbar MRI.
  • Bone marrow cellularity was calculated from T1 signal intensity measurements.
  • The formula used was: 100 - {[(marrow - CSF)/(subcutaneous fat - CSF)] X 100}.

Main Results:

  • Histologic cellularities significantly correlated with iliac bone MRI cellularity (r=0.59, P=.001).
  • Bone marrow cellularity increased from T11 to S1 vertebral levels.
  • Cellularity demonstrated a decrease with increasing age, following the equation: 67.6 - (age X 0.36).

Conclusions:

  • MRI-derived bone marrow cellularity shows a statistically significant correlation with biopsy results.
  • Significant differences in cellularity were observed between different vertebral levels.
  • Bone marrow cellularity changes with patient age, as indicated by MRI measurements.