Literature DB >> 24083607

High-resolution bone imaging for osteoporosis diagnostics and therapy monitoring using clinical MDCT and MRI.

T Baum1, D C Karampinos, H Liebl, E J Rummeny, S Waldt, J S Bauer.   

Abstract

Osteoporosis is classified as a public health problem due to its increased risk for fragility fractures. Osteoporotic fractures, in particular spine and hip fractures, are associated with a high morbidity and mortality, and generate immense financial cost. The World Health Organisation (WHO) based the diagnosis of osteoporosis on the measurement of bone mineral density (BMD) using dual-energy X-ray absorptiometry (DXA). However, BMD values of subjects with versus without osteoporotic fractures overlap. Furthermore, it was reported that the anti-fracture effects of drugs could be only partially explained by their effects on BMD. Bone strength reflects the integration of BMD and bone quality. The later can be partly determined by measurements of bone microstructure. Therefore, substantial research efforts have been undertaken to assess bone microstructure by using high-resolution imaging techniques, including high-resolution peripheral quantitative computed tomography (hr-pQCT), high-resolution multi-detector computed tomography (MDCT), and high-resolution magnetic resonance imaging (MRI). Clinical MDCT and MRI systems are broadly available and allow an adequate depiction of the bone microstructure at the clinically most important fracture sites, i.e. radius, spine and hip. Bone microstructure parameters and finite element models can be computed in high-resolution MDCT and MR images. These measurements improved the prediction of bone strength beyond the DXA-derived BMD and revealed pharmacotherapy effects, which are partly not captured by BMD. Therefore, high-resolution bone imaging using clinical MDCT and MRI may be beneficial for osteoporosis diagnostics and allow a highly sensitive monitoring of drug treatment, which plays an important role in the prevention of fragility fractures.

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Year:  2013        PMID: 24083607     DOI: 10.2174/09298673113206660279

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  12 in total

1.  Use of MR-based trabecular bone microstructure analysis at the distal radius for osteoporosis diagnostics: a study in post-menopausal women with breast cancer and treated with aromatase inhibitor.

Authors:  Thomas Baum; Dimitrios C Karampinos; Vanadin Seifert-Klauss; Tsvetelina D Pencheva; Pia M Jungmann; Ernst J Rummeny; Dirk Müller; Jan S Bauer
Journal:  Clin Cases Miner Bone Metab       Date:  2016-05-11

2.  In-vivo assessment of femoral bone strength using Finite Element Analysis (FEA) based on routine MDCT imaging: a preliminary study on patients with vertebral fractures.

Authors:  Hans Liebl; Eduardo Grande Garcia; Fabian Holzner; Peter B Noel; Rainer Burgkart; Ernst J Rummeny; Thomas Baum; Jan S Bauer
Journal:  PLoS One       Date:  2015-02-27       Impact factor: 3.240

3.  Osteoporosis imaging: effects of bone preservation on MDCT-based trabecular bone microstructure parameters and finite element models.

Authors:  Thomas Baum; Eduardo Grande Garcia; Rainer Burgkart; Olga Gordijenko; Hans Liebl; Pia M Jungmann; Michael Gruber; Tina Zahel; Ernst J Rummeny; Simone Waldt; Jan S Bauer
Journal:  BMC Med Imaging       Date:  2015-06-26       Impact factor: 1.930

4.  Association of MRS-Based Vertebral Bone Marrow Fat Fraction with Bone Strength in a Human In Vitro Model.

Authors:  Dimitrios C Karampinos; Stefan Ruschke; Olga Gordijenko; Eduardo Grande Garcia; Hendrik Kooijman; Rainer Burgkart; Ernst J Rummeny; Jan S Bauer; Thomas Baum
Journal:  J Osteoporos       Date:  2015-04-19

Review 5.  MR-Based Assessment of Bone Marrow Fat in Osteoporosis, Diabetes, and Obesity.

Authors:  Christian Cordes; Thomas Baum; Michael Dieckmeyer; Stefan Ruschke; Maximilian N Diefenbach; Hans Hauner; Jan S Kirschke; Dimitrios C Karampinos
Journal:  Front Endocrinol (Lausanne)       Date:  2016-06-27       Impact factor: 5.555

Review 6.  Quantitative MRI and spectroscopy of bone marrow.

Authors:  Dimitrios C Karampinos; Stefan Ruschke; Michael Dieckmeyer; Maximilian Diefenbach; Daniela Franz; Alexandra S Gersing; Roland Krug; Thomas Baum
Journal:  J Magn Reson Imaging       Date:  2017-06-01       Impact factor: 4.813

7.  Quantification of Volumetric Bone Mineral Density of Proximal Femurs Using a Two-Compartment Model and Computed Tomography Images.

Authors:  Yan-Lin Liu; Jui-Ting Hsu; Tian-Yu Shih; Dmytro Luzhbin; Chun-Yuan Tu; Jay Wu
Journal:  Biomed Res Int       Date:  2018-02-27       Impact factor: 3.411

8.  Is multidetector CT-based bone mineral density and quantitative bone microstructure assessment at the spine still feasible using ultra-low tube current and sparse sampling?

Authors:  Kai Mei; Felix K Kopp; Rolf Bippus; Thomas Köhler; Benedikt J Schwaiger; Alexandra S Gersing; Andreas Fehringer; Andreas Sauter; Daniela Münzel; Franz Pfeiffer; Ernst J Rummeny; Jan S Kirschke; Peter B Noël; Thomas Baum
Journal:  Eur Radiol       Date:  2017-06-21       Impact factor: 5.315

9.  Effect of Low-Dose MDCT and Iterative Reconstruction on Trabecular Bone Microstructure Assessment.

Authors:  Felix K Kopp; Konstantin Holzapfel; Thomas Baum; Radin A Nasirudin; Kai Mei; Eduardo G Garcia; Rainer Burgkart; Ernst J Rummeny; Jan S Kirschke; Peter B Noël
Journal:  PLoS One       Date:  2016-07-22       Impact factor: 3.240

10.  Effects of virtual tube current reduction and sparse sampling on MDCT-based femoral BMD measurements.

Authors:  N Sollmann; K Mei; B J Schwaiger; A S Gersing; F K Kopp; R Bippus; C Maegerlein; C Zimmer; E J Rummeny; J S Kirschke; P B Noël; T Baum
Journal:  Osteoporos Int       Date:  2018-08-24       Impact factor: 4.507

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