Literature DB >> 34341744

Vertebral bone marrow T2* mapping using chemical shift encoding-based water-fat separation in the quantitative analysis of lumbar osteoporosis and osteoporotic fractures.

Yannik Leonhardt1, Florian T Gassert1, Georg Feuerriegel1, Felix G Gassert1, Sophia Kronthaler1, Christof Boehm1, Alexander Kufner1, Stefan Ruschke1, Thomas Baum2, Benedikt J Schwaiger2, Marcus R Makowski1, Dimitrios C Karampinos1, Alexandra S Gersing1,3.   

Abstract

BACKGROUND: Chemical shift encoding-based water-fat separation techniques have been used for fat quantification [proton density fat fraction (PDFF)], but they also enable the assessment of bone marrow T2*, which has previously been reported to be a potential biomarker for osteoporosis and may give insight into the cause of vertebral fractures (i.e., osteoporotic vs. traumatic) and the microstructure of the bone when applied to vertebral bone marrow.
METHODS: The 32 patients (78.1% with low-energy osteopenic/osteoporotic fractures, mean age 72.3±9.8 years, 76% women; 21.9% with high-energy traumatic fractures, 47.3±12.8 years, no women) were frequency-matched for age and sex to subjects without vertebral fractures (n=20). All study patients underwent 3T-MRI of the lumbar spine including sagittally acquired spoiled gradient echo sequences for chemical shift encoding-based water-fat separation, from which T2* values were obtained. Volumetric trabecular bone mineral density (BMD) and trabecular bone parameters describing the three-dimensional structural integrity of trabecular bone were derived from quantitative CT. Associations between T2* measurements, fracture status and trabecular bone parameters were assessed using multivariable linear regression models.
RESULTS: Mean T2* values of non fractured vertebrae in all patients showed a significant correlation with BMD (r=-0.65, P<0.001), trabecular number (TbN) (r=-0.56, P<0.001) and trabecular spacing (TbSp) (r=0.61, P<0.001); patients with low-energy osteoporotic vertebral fractures showed significantly higher mean T2* values than those with traumatic fractures (13.6±4.3 vs. 8.4±2.2 ms, P=0.01) as well as a significantly lower TbN (0.69±0.08 vs. 0.93±0.03 mm-1, P<0.01) and a significantly larger trabecular spacing (1.06±0.16 vs. 0.56±0.08 mm, P<0.01). Mean T2* values of osteoporotic patients with and without vertebral fracture showed no significant difference (13.5±3.4 vs. 15.6±3.5 ms, P=0.40). When comparing the mean T2* of the fractured vertebrae, no significant difference could be detected between low-energy osteoporotic fractures and high-energy traumatic fractures (12.6±5.4 vs. 8.1±2.4 ms, P=0.10).
CONCLUSIONS: T2* mapping of vertebral bone marrow using using chemical shift encoding-based water-fat separation allows for assessing osteoporosis as well as the trabecular microstructure and enables a radiation-free differentiation between patients with low-energy osteoporotic and high-energy traumatic vertebral fractures, suggesting its potential as a biomarker for bone fragility. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Osteoporosis; T2* mapping; bone density; chemical shift encoding-based water-fat separation; magnetic resonance imaging (MRI); spine

Year:  2021        PMID: 34341744      PMCID: PMC8245952          DOI: 10.21037/qims-20-1373

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  32 in total

1.  Quantitative evaluation of T2* relaxation times for the differentiation of acute benign and malignant vertebral body fractures.

Authors:  Frederic Carsten Schmeel; Julian Alexander Luetkens; Andreas Feißt; Simon Jonas Enkirch; Christoph Hans-Jürgen Endler; Peter Johannes Wagenhäuser; Leonard Christopher Schmeel; Frank Träber; Hans Heinz Schild; Guido Matthias Kukuk
Journal:  Eur J Radiol       Date:  2018-09-18       Impact factor: 3.528

2.  Generalized parameter estimation in multi-echo gradient-echo-based chemical species separation.

Authors:  Maximilian N Diefenbach; Chunlei Liu; Dimitrios C Karampinos
Journal:  Quant Imaging Med Surg       Date:  2020-03

3.  T₁-corrected fat quantification using chemical shift-based water/fat separation: application to skeletal muscle.

Authors:  Dimitrios C Karampinos; Huanzhou Yu; Ann Shimakawa; Thomas M Link; Sharmila Majumdar
Journal:  Magn Reson Med       Date:  2011-03-30       Impact factor: 4.668

Review 4.  Epidemiology of spinal osteoporosis.

Authors:  L J Melton
Journal:  Spine (Phila Pa 1976)       Date:  1997-12-15       Impact factor: 3.468

5.  Composition of adipose tissue and marrow fat in humans by 1H NMR at 7 Tesla.

Authors:  Jimin Ren; Ivan Dimitrov; A Dean Sherry; Craig R Malloy
Journal:  J Lipid Res       Date:  2008-05-28       Impact factor: 5.922

6.  Proton-density fat fraction and simultaneous R2* estimation as an MRI tool for assessment of osteoporosis.

Authors:  Jens-Peter Kühn; Diego Hernando; Peter J Meffert; Scott Reeder; Norbert Hosten; Rene Laqua; Antje Steveling; Stephan Ender; Henry Schröder; Dirk-Thomas Pillich
Journal:  Eur Radiol       Date:  2013-06-29       Impact factor: 5.315

Review 7.  Management of severe osteoporosis.

Authors:  Paul D Miller
Journal:  Expert Opin Pharmacother       Date:  2015-12-23       Impact factor: 3.889

8.  The osteoporosis treatment gap.

Authors:  John A Kanis; Axel Svedbom; Nicholas Harvey; Eugene V McCloskey
Journal:  J Bone Miner Res       Date:  2014-09       Impact factor: 6.741

9.  The epidemiology of low- and high-energy distal radius fracture in middle-aged and elderly men and women in Southern Norway.

Authors:  Andreas P Diamantopoulos; Gudrun Rohde; Irene Johnsrud; Inger M Skoie; Marc Hochberg; Glenn Haugeberg
Journal:  PLoS One       Date:  2012-08-24       Impact factor: 3.240

10.  Improved prediction of incident vertebral fractures using opportunistic QCT compared to DXA.

Authors:  Maximilian T Löffler; Alina Jacob; Alexander Valentinitsch; Anna Rienmüller; Claus Zimmer; Yu-Mi Ryang; Thomas Baum; Jan S Kirschke
Journal:  Eur Radiol       Date:  2019-02-21       Impact factor: 5.315

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