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Published in: Pediatric Radiology 1/2021

01-01-2021 | Magnetic Resonance Imaging | Original Article

Quantitative magnetic resonance imaging for determining bone marrow fat fraction at 1.5 T and 3.0 T: a technique to noninvasively assess cellularity and potential malignancy of the bone marrow

Authors: Jonathan D. Samet, Jie Deng, Kristian Schafernak, Nicoleta C. Arva, Xiaoqi Lin, Joseph Peevey, Laura M. Fayad

Published in: Pediatric Radiology | Issue 1/2021

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Abstract

Background

Pediatric bone marrow assessment by MRI is challenging and primarily experiential and qualitative, with a paucity of clinically useful quantitative imaging techniques.

Objective

MRI fat fraction (MRI-FF) is a technique used to quantify the degree of fat in other organ systems. The purpose of this study was to assess whether MRI-FF accurately measures bone marrow composition.

Materials and methods

This two-part study included a validation phase, followed by an application phase. For the validation phase, the MRI-FF of piglet bones (6 long bones, 8 axial bones) was performed at 1.5 tesla (T) and 3.0 T, and correlated to the histological fat fraction (H-FF). We used Bland–Altman plots to compare MRI-FF at 1.5 tesla T and 3.0 T. For the application phase, five children with malignant marrow disease were recruited along with seven age- and gender-matched control subjects. The MRI-FF in the children was correlated to the H-FF. Boxplots were used to compare the MRI-FF of patients and control subjects.

Results

For the validation animal study, the MRI-FF of piglet bones at both 1.5 T and 3.0 T demonstrated moderate positive correlation to H-FF (r=0.41 and 0.42, respectively). MRI-FF at 1.5 T and 3.0 T were in good agreement, on average 7.7% apart. For the application phase, we included 5 children (4 with leukemia, 1 rhabdomyosarcoma) with median age 7 years, range (3–10 years). All children had MRI-FF and H-FF below 10%. The MRI-FF in patients (3.8±1.2) was significantly lower than that of control subjects (46.1±12.3%) (P<0.01).

Conclusion

MRI-FF is a valid technique to assess bone marrow fat fraction at both 1.5 T and 3.0 T. The MRI-FF in children with malignant marrow processes is significantly lower than in control subjects with normal marrow.
Literature
1.
go back to reference Chan BY, Gill KG, Rebsamen SL, Nguyen JC (2016) MR imaging of pediatric bone marrow. Radiographics 36:1911–1930CrossRef Chan BY, Gill KG, Rebsamen SL, Nguyen JC (2016) MR imaging of pediatric bone marrow. Radiographics 36:1911–1930CrossRef
2.
go back to reference Shiga NT, Del Grande F, Lardo O, Fayad LM (2013) Imaging of primary bone tumors: determination of tumor extent by non-contrast sequences. Pediatr Radiol 43:1017–1023CrossRef Shiga NT, Del Grande F, Lardo O, Fayad LM (2013) Imaging of primary bone tumors: determination of tumor extent by non-contrast sequences. Pediatr Radiol 43:1017–1023CrossRef
3.
go back to reference Bracken J, Nandurkar D, Radhakrishnan K, Ditchfield M (2013) Normal paediatric bone marrow: magnetic resonance imaging appearances from birth to 5 years. J Med Imaging Radiat Oncol 57:283–291CrossRef Bracken J, Nandurkar D, Radhakrishnan K, Ditchfield M (2013) Normal paediatric bone marrow: magnetic resonance imaging appearances from birth to 5 years. J Med Imaging Radiat Oncol 57:283–291CrossRef
4.
go back to reference Burdiles A, Babyn PS (2009) Pediatric bone marrow MR imaging. Magn Reson Imaging Clin N Am 17:391–409CrossRef Burdiles A, Babyn PS (2009) Pediatric bone marrow MR imaging. Magn Reson Imaging Clin N Am 17:391–409CrossRef
5.
go back to reference Matcuk GR Jr, Siddiqi I, Cen S et al (2016) Bone marrow cellularity MRI calculation and correlation with bone marrow biopsy. Clin Imaging 40:392–397CrossRef Matcuk GR Jr, Siddiqi I, Cen S et al (2016) Bone marrow cellularity MRI calculation and correlation with bone marrow biopsy. Clin Imaging 40:392–397CrossRef
6.
go back to reference Karampinos DC, Ruschke S, Dieckmeyer M et al (2018) Quantitative MRI and spectroscopy of bone marrow. J Magn Reson Imaging 47:332–353CrossRef Karampinos DC, Ruschke S, Dieckmeyer M et al (2018) Quantitative MRI and spectroscopy of bone marrow. J Magn Reson Imaging 47:332–353CrossRef
7.
go back to reference Kumar NM, Ahlawat S, Fayad LM (2018) Chemical shift imaging with in-phase and opposed-phase sequences at 3 T: what is the optimal threshold, measurement method, and diagnostic accuracy for characterizing marrow signal abnormalities? Skelet Radiol 47:1661–1671CrossRef Kumar NM, Ahlawat S, Fayad LM (2018) Chemical shift imaging with in-phase and opposed-phase sequences at 3 T: what is the optimal threshold, measurement method, and diagnostic accuracy for characterizing marrow signal abnormalities? Skelet Radiol 47:1661–1671CrossRef
8.
go back to reference Deng J, Fishbein MH, Rigsby CK et al (2014) Quantitative MRI for hepatic fat fraction and T2* measurement in pediatric patients with non-alcoholic fatty liver disease. Pediatr Radiol 44:1379–1387CrossRef Deng J, Fishbein MH, Rigsby CK et al (2014) Quantitative MRI for hepatic fat fraction and T2* measurement in pediatric patients with non-alcoholic fatty liver disease. Pediatr Radiol 44:1379–1387CrossRef
9.
go back to reference Bydder M, Yokoo T, Hamilton G et al (2008) Relaxation effects in the quantification of fat using gradient echo imaging. Magn Reson Imaging 26:347–359CrossRef Bydder M, Yokoo T, Hamilton G et al (2008) Relaxation effects in the quantification of fat using gradient echo imaging. Magn Reson Imaging 26:347–359CrossRef
10.
go back to reference Yokoo T, Bydder M, Hamilton G et al (2009) Nonalcoholic fatty liver disease: diagnostic and fat-grading accuracy of low-flip-angle multiecho gradient-recalled-echo MR imaging at 1.5 T. Radiology 251:67–76CrossRef Yokoo T, Bydder M, Hamilton G et al (2009) Nonalcoholic fatty liver disease: diagnostic and fat-grading accuracy of low-flip-angle multiecho gradient-recalled-echo MR imaging at 1.5 T. Radiology 251:67–76CrossRef
11.
go back to reference Friebert SE, Shepardson LB, Shurin SB et al (1998) Pediatric bone marrow cellularity: are we expecting too much? J Pediatr Hematol Oncol 20:439–443CrossRef Friebert SE, Shepardson LB, Shurin SB et al (1998) Pediatric bone marrow cellularity: are we expecting too much? J Pediatr Hematol Oncol 20:439–443CrossRef
12.
go back to reference Thiele J, Kvasnicka HM, Facchetti F et al (2005) European consensus on grading bone marrow fibrosis and assessment of cellularity. Haematologica 90:1128–1132PubMed Thiele J, Kvasnicka HM, Facchetti F et al (2005) European consensus on grading bone marrow fibrosis and assessment of cellularity. Haematologica 90:1128–1132PubMed
13.
go back to reference Yoo HJ, Hong SH, Kim DH et al (2017) Measurement of fat content in vertebral marrow using a modified Dixon sequence to differentiate benign from malignant processes. J Magn Reson Imaging 45:1534–1544CrossRef Yoo HJ, Hong SH, Kim DH et al (2017) Measurement of fat content in vertebral marrow using a modified Dixon sequence to differentiate benign from malignant processes. J Magn Reson Imaging 45:1534–1544CrossRef
14.
go back to reference Kuhn JP, Hernando D, Meffert PJ et al (2013) Proton-density fat fraction and simultaneous R2* estimation as an MRI tool for assessment of osteoporosis. Eur Radiol 23:3432–3439CrossRef Kuhn JP, Hernando D, Meffert PJ et al (2013) Proton-density fat fraction and simultaneous R2* estimation as an MRI tool for assessment of osteoporosis. Eur Radiol 23:3432–3439CrossRef
15.
go back to reference Zhang C, Slade JM, Miller F, Modlesky CM (2020) Quantifying bone marrow fat using standard T1-weighted magnetic resonance images in children with typical development and in children with cerebral palsy. Sci Rep 10:1–8CrossRef Zhang C, Slade JM, Miller F, Modlesky CM (2020) Quantifying bone marrow fat using standard T1-weighted magnetic resonance images in children with typical development and in children with cerebral palsy. Sci Rep 10:1–8CrossRef
16.
go back to reference Gee CS, Nguyen JT, Marquez CJ et al (2015) Validation of bone marrow fat quantification in the presence of trabecular bone using MRI. J Magn Reson Imaging 42:539–544CrossRef Gee CS, Nguyen JT, Marquez CJ et al (2015) Validation of bone marrow fat quantification in the presence of trabecular bone using MRI. J Magn Reson Imaging 42:539–544CrossRef
17.
go back to reference Pichardo JC, Milner RJ, Bolch WE (2011) MRI measurement of bone marrow cellularity for radiation dosimetry. J Nucl Med 52:1482–1489CrossRef Pichardo JC, Milner RJ, Bolch WE (2011) MRI measurement of bone marrow cellularity for radiation dosimetry. J Nucl Med 52:1482–1489CrossRef
18.
go back to reference Percival ME, Lai C, Estey E, Hourigan CS (2017) Bone marrow evaluation for diagnosis and monitoring of acute myeloid leukemia. Blood Rev 31:185–192CrossRef Percival ME, Lai C, Estey E, Hourigan CS (2017) Bone marrow evaluation for diagnosis and monitoring of acute myeloid leukemia. Blood Rev 31:185–192CrossRef
Metadata
Title
Quantitative magnetic resonance imaging for determining bone marrow fat fraction at 1.5 T and 3.0 T: a technique to noninvasively assess cellularity and potential malignancy of the bone marrow
Authors
Jonathan D. Samet
Jie Deng
Kristian Schafernak
Nicoleta C. Arva
Xiaoqi Lin
Joseph Peevey
Laura M. Fayad
Publication date
01-01-2021
Publisher
Springer Berlin Heidelberg
Published in
Pediatric Radiology / Issue 1/2021
Print ISSN: 0301-0449
Electronic ISSN: 1432-1998
DOI
https://doi.org/10.1007/s00247-020-04809-8

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