Bone marrow cellularity MRI calculation and correlation with bone marrow biopsy

Published:December 02, 2015DOI:



      To calculate bone marrow cellularity from MRI and correlate with bone marrow biopsy.


      Twenty-seven lymphoma patients with staging bone marrow biopsies and lumbar MRI were reviewed. Cellularity was calculated from T1 signal intensity measurements=100 – {[(marrow – CSF)/(subcutaneous fat – CSF)] X 100}.


      The histologic cellularities demonstrated significant correlation with iliac bone MRI cellularity (r=0.59, P=.001). Cellularities increased from T11 to S1. Cellularity decreased with age=67.6 – (age X 0.36).


      Marrow cellularity from MRI shows statistically significant correlation with biopsy and significant differences between vertebral levels and changes with age.


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        • Al-Adhadh AN
        • Cavill I
        Assessment of cellularity in bone marrow fragments.
        J Clin Pathol. 1983; 36: 176-179
        • Kerndrup G
        • Pallesen G
        • Melsen F
        • Mosekilde L
        Histomorphometrical determination of bone marrow cellularity in iliac crest biopsies.
        Scand J Haematol. 1980; 24: 110-114
        • Humphries JE
        Dry tap bone marrow aspiration: clinical significance.
        Am J Hematol. 1990; 35: 247-250
        • Hartsock RJ
        • Smith EB
        • Petty CS
        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 examined by necropsy.
        Am J Clin Pathol. 1965; 43: 326-331
        • Ogawa T
        • Kitagawa M
        • Hirokawa K
        Age-related changes of human bone marrow: a histometric estimation of proliferative cells, apoptotic cells, T cells, B cells and macrophages.
        Mech Ageing Dev. 2000; 117: 57-68
        • Friebert SE
        • Shepardson LB
        • Shurin SB
        • Rosenthal GE
        • Rosenthal NS
        Pediatric bone marrow cellularity: are we expecting too much?.
        J Pediatr Hematol Oncol. 1998; 20: 439-443
        • Ishizaka H
        • Horikoshi H
        • Inoue T
        • Fukusato T
        • Matsumoto M
        Bone marrow cellularity: quantification by chemical-shift misregistration in magnetic resonance imaging and comparison with histomorphometrical techniques.
        Australas Radiol. 1995; 39: 411-414
        • Ishizaka H
        • Tomiyoshi K
        • Matsumoto M
        MR quantification of bone marrow cellularity: use of chemical-shift misregistration artifact.
        AJR Am J Roentgenol. 1993; 160: 572-574
        • De Bisschop E
        • Luypaert R
        • Louis O
        • Osteaux M
        Fat fraction of lumbar bone marrow using in vivo proton nuclear magnetic resonance spectroscopy.
        Bone. 1993; 14: 133-136
        • Ballon D
        • Jakubowski A
        • Gabrilove J
        • Graham MC
        • Zakowski M
        • Sheridan C
        • et al.
        In vivo measurements of bone marrow cellularity using volume-localized proton NMR spectroscopy.
        Magn Reson Med. 1991; 19: 85-95
        • Shen W
        • Gong X
        • Weiss J
        • Jin Y
        Comparison among T1-weighted magnetic resonance imaging, modified dixon method, and magnetic resonance spectroscopy in measuring bone marrow fat.
        J Obes. 2013; 2013: 298675
        • Pichardo JC
        • Milner RJ
        • Bolch WE
        MRI measurement of bone marrow cellularity for radiation dosimetry.
        J Nucl Med. 2011; 52: 1482-1489
        • Maas M
        • van Kuijk C
        • Stoker J
        • Hollak CE
        • Akkerman EM
        • Aerts JF
        • et al.
        Quantification of bone involvement in Gaucher disease: MR imaging bone marrow burden score as an alternative to Dixon quantitative chemical shift MR imaging--initial experience.
        Radiology. 2003; 229: 554-561
        • Bolch WE
        • Patton PW
        • Rajon DA
        • Shah AP
        • Jokisch DW
        • Inglis BA
        Considerations of marrow cellularity in 3-dimensional dosimetric models of the trabecular skeleton.
        J Nucl Med. 2002; 43: 97-108
        • Maas M
        • Akkerman EM
        • Venema HW
        • Stoker J
        • Den Heeten GJ
        Dixon quantitative chemical shift MRI for bone marrow evaluation in the lumbar spine: a reproducibility study in healthy volunteers.
        J Comput Assist Tomogr. 2001; 25: 691-697
        • Nonomura Y
        • Yasumoto M
        • Yoshimura R
        • Haraguchi K
        • Ito S
        • Akashi T
        • et al.
        Relationship between bone marrow cellularity and apparent diffusion coefficient.
        J Magn Reson Imaging. 2001; 13: 757-760
        • Suh KT
        • Ahn JM
        • Lee JS
        • Bae JY
        • Lee IS
        • Kim HJ
        • et al.
        MRI of the proximal femur predicts marrow cellularity and the number of mesenchymal stem cells.
        J Magn Reson Imaging. 2012; 35: 218-222
        • Cheong HK
        • Choi DS
        • Park KU
        • Kim JR
        • Ha KI
        • Yun HJ
        • et al.
        Quantitative assessment of bone marrow cellularity by magnetic resonance imaging in workers with long-term exposure to solvents.
        Ind Health. 2004; 42: 179-188
        • Rozman M
        • Mercader JM
        • Aguilar JL
        • Montserrat E
        • Rozman C
        Estimation of bone marrow cellularity by means of vertebral magnetic resonance.
        Haematologica. 1997; 82: 166-170