Literature DB >> 25095743

Imaging of the muscle-bone relationship.

Alex Ireland1, José Luis Ferretti, Jörn Rittweger.   

Abstract

Muscle can be assessed by imaging techniques according to its size (as thickness, area, volume, or alternatively, as a mass) and architecture (fiber length and pennation angle), with values used as an anthropometric measure or a surrogate for force production. Similarly, the size of the bone (as area or volume) can be imaged using MRI or pQCT, although typically bone mineral mass is reported. Bone imaging measures of mineral density, size, and geometry can also be combined to calculate bone's structural strength-measures being highly predictive of bone's failure load ex vivo. Imaging of muscle-bone relationships can, hence, be accomplished through a number of approaches by adoption and comparison of these different muscle and bone parameters, dependent on the research question under investigation. These approaches have revealed evidence of direct, mechanical muscle-bone interactions independent of allometric associations. They have led to important information on bone mechanoadaptation and the influence of muscular action on bone, in addition to influences of age, gender, exercise, and disuse on muscle-bone relationships. Such analyses have also produced promising diagnostic tools for clinical use, such as identification of primary, disuse-induced, and secondary osteoporosis and estimation of bone safety factors. Standardization of muscle-bone imaging methods is required to permit more reliable comparisons between studies and differing imaging modes, and in particular to aid adoption of these methods into widespread clinical practice.

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Mesh:

Year:  2014        PMID: 25095743     DOI: 10.1007/s11914-014-0216-1

Source DB:  PubMed          Journal:  Curr Osteoporos Rep        ISSN: 1544-1873            Impact factor:   5.096


  70 in total

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Authors:  O Valdimarsson; J O Kristinsson; S O Stefansson; S Valdimarsson; G Sigurdsson
Journal:  J Intern Med       Date:  1999-05       Impact factor: 8.989

2.  Muscle volume is a major determinant of joint torque in humans.

Authors:  T Fukunaga; M Miyatani; M Tachi; M Kouzaki; Y Kawakami; H Kanehisa
Journal:  Acta Physiol Scand       Date:  2001-08

3.  Diffusive sensitivity to muscle architecture: a magnetic resonance diffusion tensor imaging study of the human calf.

Authors:  Craig J Galbán; Stefan Maderwald; Kai Uffmann; Armin de Greiff; Mark E Ladd
Journal:  Eur J Appl Physiol       Date:  2004-12       Impact factor: 3.078

4.  Bone mineral content and mechanical strength. An ex vivo study on human femora at autopsy.

Authors:  A Alho; T Husby; A Høiseth
Journal:  Clin Orthop Relat Res       Date:  1988-02       Impact factor: 4.176

5.  Upper limb muscle-bone asymmetries and bone adaptation in elite youth tennis players.

Authors:  Alex Ireland; Thomas Maden-Wilkinson; Jamie McPhee; Karl Cooke; Marco Narici; Hans Degens; Jörn Rittweger
Journal:  Med Sci Sports Exerc       Date:  2013-09       Impact factor: 5.411

6.  Age- and gender-related changes in body composition in Japanese subjects.

Authors:  T Tsunenari; M Tsutsumi; K Ohno; Y Yamamoto; M Kawakatsu; K Shimogaki; H Negishi; T Sugimoto; M Fukase; T Fujita
Journal:  J Bone Miner Res       Date:  1993-04       Impact factor: 6.741

7.  Contractile properties of single muscle fibers in myotonic dystrophy.

Authors:  L S Krivickas; T Ansved; D Suh; W R Frontera
Journal:  Muscle Nerve       Date:  2000-04       Impact factor: 3.217

8.  Mechanical validation of a tomographic (pQCT) index for noninvasive estimation of rat femur bending strength.

Authors:  J L Ferretti; R F Capozza; J R Zanchetta
Journal:  Bone       Date:  1996-02       Impact factor: 4.398

9.  A DXA study of muscle-bone relationships in the whole body and limbs of 2512 normal men and pre- and post-menopausal women.

Authors:  R F Capozza; G R Cointry; P Cure-Ramírez; J L Ferretti; C Cure-Cure
Journal:  Bone       Date:  2004-07       Impact factor: 4.398

10.  Body composition and bone mass in post-menopausal women.

Authors:  J E Compston; M Bhambhani; M A Laskey; S Murphy; K T Khaw
Journal:  Clin Endocrinol (Oxf)       Date:  1992-11       Impact factor: 3.478

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Authors:  Otto Helve; Heli Viljakainen; Elisa Holmlund-Suila; Jenni Rosendahl; Helena Hauta-Alus; Maria Enlund-Cerullo; Saara Valkama; Kati Heinonen; Katri Räikkönen; Timo Hytinantti; Outi Mäkitie; Sture Andersson
Journal:  BMC Pediatr       Date:  2017-03-29       Impact factor: 2.125

2.  The effect of a high-impact jumping intervention on bone mass, bone stiffness and fitness parameters in adolescent athletes.

Authors:  Dimitris Vlachopoulos; Alan R Barker; Esther Ubago-Guisado; Craig A Williams; Luis Gracia-Marco
Journal:  Arch Osteoporos       Date:  2018-11-17       Impact factor: 2.617

  2 in total

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