Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-vvkck Total loading time: 0 Render date: 2024-04-26T17:43:55.805Z Has data issue: false hasContentIssue false

2 - The normal bone marrow and an approach to bone marrow evaluation of neoplastic and proliferative processes

Published online by Cambridge University Press:  07 August 2009

Attilio Orazi
Affiliation:
Indiana University
Dennis P. O'Malley
Affiliation:
Indiana University
Daniel A. Arber
Affiliation:
Stanford University, California
Get access

Summary

Introduction

It is often easiest to evaluate a bone marrow specimen by comparing it to what would be expected in the normal bone marrow (Brown & Gatter, 1993; Bain, 1996). The initial evaluation on low magnification includes the assessment of sample adequacy and marrow cellularity. The latter is usually based on the biopsy. Estimates of cellularity on aspirate material have been described (Fong, 1979) but may be unreliable in variably cellular marrows (Gruppo et al., 1997). The normal cellularity varies with age (Table 2.1), and evaluation of cellularity must always be made in the context of the patient's age (Hartsock et al., 1965) (Fig. 2.1). The marrow is approximately 100% cellular during the first three months of life, 80% cellular in children through age 10 years; it then slowly declines in cellularity until age 30 years, when it remains about 50% cellular. The usually accepted range of cellularity in normal adults is 40–70% (Hartsock et al., 1965; Gulati et al., 1988; Bain, 1996; Friebert et al., 1998; Naeim, 1998). The marrow cellularity declines again in elderly patients to about 30% at 70 years. Because of the variation in cellularity by age, the report should clearly indicate whether the stated cellularity in a given specimen is normocellular, hypocellular, or hypercellular.

Estimates of cellularity may be inappropriately lowered by several factors. Subcortical bone marrow is normally hypocellular, and the first three subcortical trabecular spaces are usually ignored in the cellularity estimate (Fig. 2.2).

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Arber, D. A. & Jenkins, K. A. (1996). Paraffin section immunophenotyping of acute leukemias in bone marrow specimens. American Journal of Clinical Pathology, 106, 462–8.CrossRefGoogle ScholarPubMed
Bain, B. J. (1996). The normal bone marrow. In Bone Marrow Pathology, 2nd edn., ed. Bain, B. J., Clark, D. M., & Lampert, I. A.. Oxford: Blackwell, pp. 1–50.Google Scholar
Borowitz, M. J., Guenther, K. L., Shults, K. E., & Stelzer, G. T. (1993). Immunophenotyping of acute leukemia by flow cytometric analysis: use of CD45 and right-angle light scatter to gate on leukemic blasts in three-color analysis. American Journal of Clinical Pathology, 100, 534–40.CrossRefGoogle ScholarPubMed
Borowitz, M. J., Bray, R., Gascoyne, R.et al. (1997). US–Canadian consensus recommendations on the immunophenotypic analysis of hematologic neoplasia by flow cytometry: data analysis and interpretation. Cytometry, 30, 236–44.3.0.CO;2-F>CrossRefGoogle Scholar
Braylan, R. C., Atwaiter, S. K., Diamond, L.et al. (1997). US–Canadian consensus recommendations on the immunophenotypic analysis of hematologic neoplasia by flow cytometry: data reporting. Cytometry, 30, 245–8.3.0.CO;2-G>CrossRefGoogle Scholar
Brown, D. C. & Gatter, K. C. (1993). The bone marrow trephine biopsy: a review of normal histology. Histopathology, 22, 411–22.CrossRefGoogle ScholarPubMed
Cattoretti, G., Schiro, R., Orazi, A., Soligo, D., & Colombo, M. P. (1993). Bone marrow stroma in humans: anti-nerve growth factors receptor antibodies selectively stain reticular cells in vivo and in vitro. Blood, 81, 1726–38.Google Scholar
Chuang, S. S. & Li, C. Y. (1997). Useful panel of antibodies for the classification of acute leukemia by immunohistochemical methods in bone marrow trephine biopsy specimens. American Journal of Clinical Pathology, 107, 410–18.CrossRefGoogle ScholarPubMed
Davis, B. H., Foucar, K., Szczarkowski, W.et al. (1997). US–Canadian consensus recommendations on the immunophenotypic analysis of hematologic neoplasia by flow cytometry: medical indications. Cytometry, 30, 249–63.3.0.CO;2-C>CrossRefGoogle Scholar
DiMartino, J. F. & Cleary, M. L. (1999). MLL rearrangements in hematological malignancies: lessons from clinical and biological studies. British Journal of Haematology, 106, 614–24.CrossRefGoogle ScholarPubMed
Downing, J. R. (1999). The AML1-ETO chimaeric transcription factor in acute myeloid leukaemia: biology and clinical significance. British Journal of Haematology, 106, 296–308.CrossRefGoogle ScholarPubMed
Fong, T. P., Okafor, L. A., Schmitz, T. H., Thomas, W., & Westerman, M. P. (1979). An evaluation of cellularity in various types of bone marrow specimens. American Journal of Clinical Pathology, 72, 812–16.CrossRefGoogle ScholarPubMed
Foucar, K. (2001). Bone Marrow Pathology, 2nd edn. Chicago, IL: ASCP Press.Google Scholar
Friebert, S. E., Shepardson, L. B., Shurin, S. B., Rosenthal, G. E., & Rosenthal, N. S. (1998). Pediatric bone marrow cellularity: are we expecting too much?Journal of Pediatric Hematology/Oncology, 20, 439–43.CrossRefGoogle ScholarPubMed
Frisch, B. & Bartl, R. (1999). Biopsy Interpretation of Bone and Bone Marrow: Histology and Immunohistology in Paraffin and Plastic. London: Arnold.Google Scholar
Gale, E., Torrance, J., & Bothwell, T. (1963). The quantitative estimation of total iron stores in human bone marrow. Journal of Clinical Investigation, 42, 1076–82.CrossRefGoogle ScholarPubMed
Gruppo, R. A., Lampkin, B. C., & Granger, S. (1997). Bone marrow cellularity determination: comparison of the biopsy, aspirate, and buffy coat. Blood, 49, 29–31.Google Scholar
Gulati, G. L., Ashton, J. K., & Hyun, B. H. (1988). Structure and function of the bone marrow and hematopoiesis. Hematology/Oncology Clinics of North America, 2, 495–511.CrossRefGoogle ScholarPubMed
Hartsock, R. J., Smith, E. B., & Petty, C. S. (1965). Normal variations with aging of the amount of hematopoietic tissue in bone marrow from the anterior iliac crest: a study made from 177 cases of sudden death necropsy. American Journal of Clinical Pathology, 43, 326–31.CrossRefGoogle ScholarPubMed
Jennings, C. D. & Foon, K. A. (1997). Recent advances in flow cytometry: application to the diagnosis of hematologic malignancy. Blood, 90, 2863–92.Google Scholar
Kurec, A. S., Cruz, V. E., Barrett, D., Mason, D. Y., & Davey, F. R. (1990). Immunophenotyping of acute leukemias using paraffin-embedded tissue sections. American Journal of Clinical Pathology, 93, 502–9.CrossRefGoogle ScholarPubMed
Longacre, T. A., Foucar, K., Crago, S.et al. (1989). Hematogones: a multiparameter analysis of bone marrow precursor cells. Blood, 73, 544–52.Google ScholarPubMed
Manaloor, E. J., Neiman, R. S., Heilman, D. K.et al. (2000). IHC of routinely processed bone marrow biopsies can be used to subtype AML: comparison with flow cytometry. American Journal of Clinical Pathology, 113, 814–22.CrossRefGoogle Scholar
Manoharan, A., Horsley, R., & Pitney, W. R. (1979). The reticulin content of bone marrow in acute leukemia in adults. British Journal of Haematology, 43, 185–90.CrossRefGoogle ScholarPubMed
Mhawech, P., Buffone, G. J., Khan, S. P., & Gresik, M. V. (2001). Cytochemical staining and flow cytometry methods applied to the diagnosis of acute leukemia in the pediatric population: an assessment of relative usefulness. Journal of Pediatric Hematology/Oncology, 23, 89–92.CrossRefGoogle Scholar
Naeim, F. (1998). Pathology of Bone Marrow. Baltimore, MD: Williams & Wilkins.Google Scholar
Orazi, A., Cotton, J., Cattoretti, G.et al. (1994). Terminal deoxnucleotidyl transferase staining in acute leukemia and normal bone marrow in routinely processed paraffin sections. American Journal of Clinical Pathology, 102, 640–5.CrossRefGoogle Scholar
Rothe, G. & Schmitz, G. (1996). Consensus protocol for the flow cytometric immunotyping of hematopoietic malignancies. Leukemia, 10, 877–95.Google Scholar
Sawyers, C. L. (1997). Molecular genetics of acute leukemia. Lancet, 349, 196–200.CrossRefGoogle Scholar
Scott, C. S., Ottolander, G. J., Swirsky, D.et al. (1993). Recommended procedures for the classification of acute leukaemia. Leukemia and Lymphoma, 11, 37–49.CrossRefGoogle Scholar
Stelzer, G. T., Marti, G., Hurley, A., McCoy, P. Jr., Lovett, E. J., & Schwartz, A. (1997). US–Canadian consensus recommendations on the immunophenotypic analysis of hematologic neoplasia by flow cytometry: standardization and validation of laboratory procedures. Cytometry, 30, 214–30.3.0.CO;2-H>CrossRefGoogle Scholar
Stewart, C. C., Behm, F. G., Carey, J. L.et al. (1997). US–Canadian consensus recommendations on the immunophenotypic analysis of hematologic neoplasia by flow cytometry: selection of antibody combinations. Cytometry, 30, 231–5.3.0.CO;2-K>CrossRefGoogle Scholar
Strauchen, J. A. (1996). Diagnostic Histopathology of the Bone Marrow. New York, NY: Oxford University Press.Google Scholar
Strout, M. P. & Caligiuri, M. A. (1997). Developments in cytogenetics and oncogenes in acute leukemia. Current Opinion in Oncology, 9, 8–17.CrossRefGoogle ScholarPubMed
Sundberg, R. D. & Broman, H. (1955). The application of the Prussian blue stain to previously stained films of blood and bone marrow. Blood, 10, 160–6.Google ScholarPubMed
Teitelbaum, S. L. & Bullough, P. G. (1979). The pathophysiology of bone and joint disease. American Journal of Pathology, 96, 282–354.Google ScholarPubMed
Yam, L. T., Li, C. Y., & Lam, K. W. (1971). Tartrate-resistant acid phosphatase isoenzyme in the reticulum cells of leukemic reticuloendotheliosis. New England Journal of Medicine, 284, 357–60.CrossRefGoogle ScholarPubMed
Yin, J. A. & Tobal, K. (1999). Detection of minimal residual disease in acute myeloid leukaemia: methodologies, clinical and biological significance. British Journal of Haematology, 106, 578–90.CrossRefGoogle ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×