Literature DB >> 32584496

MRI-Based Quantitative Osteoporosis Imaging at the Spine and Femur.

Nico Sollmann1,2, Maximilian T Löffler1, Sophia Kronthaler3, Christof Böhm3, Michael Dieckmeyer1, Stefan Ruschke3, Jan S Kirschke1,2, Julio Carballido-Gamio4, Dimitrios C Karampinos3, Roland Krug5, Thomas Baum1.   

Abstract

Osteoporosis is a systemic skeletal disease with a high prevalence worldwide, characterized by low bone mass and microarchitectural deterioration, predisposing an individual to fragility fractures. Dual-energy X-ray absorptiometry (DXA) has been the clinical reference standard for diagnosing osteoporosis and for assessing fracture risk for decades. However, other imaging modalities are of increasing importance to investigate the etiology, treatment, and fracture risk. The purpose of this work is to review the available literature on quantitative magnetic resonance imaging (MRI) methods and related findings in osteoporosis at the spine and proximal femur as the clinically most important fracture sites. Trabecular bone microstructure analysis at the proximal femur based on high-resolution MRI allows for a better prediction of osteoporotic fracture risk than DXA-based bone mineral density (BMD) alone. In the 1990s, T2 * mapping was shown to correlate with the density and orientation of the trabecular bone. Recently, quantitative susceptibility mapping (QSM), which overcomes some of the limitations of T2 * mapping, has been applied for trabecular bone quantifications at the spine, whereas ultrashort echo time (UTE) imaging provides valuable surrogate markers of cortical bone quantity and quality. Magnetic resonance spectroscopy (MRS) and chemical shift encoding-based water-fat MRI (CSE-MRI) enable the quantitative assessment of the nonmineralized bone compartment through extraction of the bone marrow fat fraction (BMFF). Furthermore, CSE-MRI allows for the differentiation of osteoporotic vs. pathologic fractures, which is of high clinical relevance. Lastly, advanced postprocessing and image analysis tools, particularly considering statistical parametric mapping and region-specific BMFF distributions, have high potential to further improve MRI-based fracture risk assessments at the spine and hip. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY STAGE: 2.
© 2020 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  chemical shift encoding-based water-fat separation; femur; magnetic resonance spectroscopy; osteoporosis; spine

Mesh:

Year:  2020        PMID: 32584496     DOI: 10.1002/jmri.27260

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  11 in total

1.  Editorial on Special Issue "Spine Imaging: Novel Image Acquisition Techniques and Analysis Tools".

Authors:  Nico Sollmann; Thomas Baum
Journal:  Diagnostics (Basel)       Date:  2022-06-01

2.  Paraspinal Muscle in Chronic Low Back Pain: Comparison Between Standard Parameters and Chemical Shift Encoding-Based Water-Fat MRI.

Authors:  Nico Sollmann; Noah B Bonnheim; Gabby B Joseph; Ravi Chachad; Jiamin Zhou; Zehra Akkaya; Amir M Pirmoazen; Jeannie F Bailey; Xiaojie Guo; Ann A Lazar; Thomas M Link; Aaron J Fields; Roland Krug
Journal:  J Magn Reson Imaging       Date:  2022-03-14       Impact factor: 5.119

3.  Reproducibility and postacquisition correction methods for quantitative magnetic resonance imaging of the anterior cruciate ligament (ACL).

Authors:  Sean W Flannery; Edward G Walsh; Ryan M Sanborn; Cynthia A Chrostek; Meggin Q Costa; Shankar G Kaushal; Martha M Murray; Braden C Fleming; Ata M Kiapour
Journal:  J Orthop Res       Date:  2022-03-10       Impact factor: 3.102

4.  Fractal lacunarity of trabecular bone in vertebral MRI to predict osteoporotic fracture risk in over-fifties women. The LOTO study.

Authors:  Annamaria Zaia; Roberto Rossi; Roberta Galeazzi; Manuela Sallei; Pierluigi Maponi; Pietro Scendoni
Journal:  BMC Musculoskelet Disord       Date:  2021-01-23       Impact factor: 2.362

5.  Diagnostic Accuracy of Quantitative Imaging Biomarkers in the Differentiation of Benign and Malignant Vertebral Lesions : Combination of Diffusion-Weighted and Proton Density Fat Fraction Spine MRI.

Authors:  Frederic Carsten Schmeel; Simon Jonas Enkirch; Julian Alexander Luetkens; Anton Faron; Nils Lehnen; Alois Martin Sprinkart; Leonard Christopher Schmeel; Alexander Radbruch; Ulrike Attenberger; Guido Matthias Kukuk; Petra Mürtz
Journal:  Clin Neuroradiol       Date:  2021-03-31       Impact factor: 3.649

6.  Can magnetic resonance imaging accurately and reliably measure humeral cortical thickness?

Authors:  Peter N Chalmers; Garrett V Christensen; Hiroaki Ishikawa; Heath B Henninger; Eugene G Kholmovski; Megan Mills; Robert Z Tashjian
Journal:  JSES Int       Date:  2021-12-11

7.  Finite Element Analysis of Osteoporotic and Osteoblastic Vertebrae and Its Association With the Proton Density Fat Fraction From Chemical Shift Encoding-Based Water-Fat MRI - A Preliminary Study.

Authors:  Tobias Greve; Nithin Manohar Rayudu; Michael Dieckmeyer; Christof Boehm; Stefan Ruschke; Egon Burian; Christopher Kloth; Jan S Kirschke; Dimitrios C Karampinos; Thomas Baum; Karupppasamy Subburaj; Nico Sollmann
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-11       Impact factor: 6.055

8.  Texture Analysis Using CT and Chemical Shift Encoding-Based Water-Fat MRI Can Improve Differentiation Between Patients With and Without Osteoporotic Vertebral Fractures.

Authors:  Nico Sollmann; Edoardo A Becherucci; Christof Boehm; Malek El Husseini; Stefan Ruschke; Egon Burian; Jan S Kirschke; Thomas M Link; Karupppasamy Subburaj; Dimitrios C Karampinos; Roland Krug; Thomas Baum; Michael Dieckmeyer
Journal:  Front Endocrinol (Lausanne)       Date:  2022-01-04       Impact factor: 5.555

9.  Proton Density Fat Fraction Spine MRI for Differentiation of Erosive Vertebral Endplate Degeneration and Infectious Spondylitis.

Authors:  Frederic Carsten Schmeel; Asadeh Lakghomi; Nils Christian Lehnen; Robert Haase; Mohammed Banat; Johannes Wach; Nikolaus Handke; Hartmut Vatter; Alexander Radbruch; Ulrike Attenberger; Julian Alexander Luetkens
Journal:  Diagnostics (Basel)       Date:  2021-12-30

10.  Multi-scanner and multi-modal lumbar vertebral body and intervertebral disc segmentation database.

Authors:  Yasmina Al Khalil; Edoardo A Becherucci; Jan S Kirschke; Dimitrios C Karampinos; Marcel Breeuwer; Thomas Baum; Nico Sollmann
Journal:  Sci Data       Date:  2022-03-23       Impact factor: 6.444

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