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Bone marrow transplant is a potential cure for several diseases, including cancer and specific genetic disorders. Notably, this procedure is applicable for patients suffering from aplastic anemia, certain types of leukemia, severe combined immunodeficiency disease (SCID), Hodgkin's disease, non-Hodgkin's lymphoma, multiple myeloma, thalassemia, sickle-cell disease, and certain cancers.
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A Human Bone Marrow 3D Model to Investigate the Dynamics and Interactions Between Resident Cells in Physiological or Tumoral Contexts
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A Human Bone Marrow 3D Model to Investigate the Dynamics and Interactions Between Resident Cells in Physiological or Tumoral Contexts

Published on: December 16, 2022

Bone marrow.

Darra T Murphy1, Michael R Moynagh, Stephen J Eustace

  • 1Department of Radiology, Mater Misericordiae University Hospital, Eccles Street, Dublin 7, Ireland. darramurphy@me.com

Magnetic Resonance Imaging Clinics of North America
|November 30, 2010
PubMed
Summary
This summary is machine-generated.

This article details bone marrow composition and age-related changes, highlighting common variations that may mimic disease for accurate diagnosis.

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Last Updated: Jun 6, 2026

A Human Bone Marrow 3D Model to Investigate the Dynamics and Interactions Between Resident Cells in Physiological or Tumoral Contexts
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Published on: December 16, 2022

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Area of Science:

  • Hematology
  • Gerontology
  • Pathology

Background:

  • Bone marrow cellularity and composition change significantly with age.
  • Understanding age-related bone marrow alterations is crucial for accurate interpretation.

Purpose of the Study:

  • To describe normal bone marrow composition.
  • To outline age-related bone marrow changes.
  • To identify common pitfalls and variants that can mimic pathology.

Main Methods:

  • Review of bone marrow morphology across different age groups.
  • Analysis of age-related changes in hematopoietic and stromal components.
  • Compilation of imaging and biopsy findings.

Main Results:

  • Bone marrow cellularity decreases with age, with a relative increase in fat.
  • Specific cellular populations and stromal elements exhibit predictable age-related shifts.
  • Certain benign variants can be mistaken for neoplastic or inflammatory conditions.

Conclusions:

  • Age-related bone marrow changes are well-defined and generally predictable.
  • Familiarity with these changes aids in differentiating normal aging from disease.
  • Recognizing pitfalls prevents misdiagnosis in geriatric patients.