Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible
- Autores
- Rittweger, Jorn; Ferretti, Jose Luis
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The ontogenetic adaptation of bones to their habitual loads offers a rationale for imaging muscle–bone relationships. Provided that bones adapt to strains that are chiefly determined by muscle contractions, information from muscle and bone scans allows comparing measures of bone stiffness and strength with surrogate measures for muscular force generation. Prediction of the mechanical behavior of bone is nowadays well possible by peripheral quantitative computed tomography (pQCT). However, prediction of muscle forces is not currently feasible. pQCT offers the opportunity to outline gross muscle cross-sectional area (CSA) as a surrogate measure of the force-generating capacity of muscle groups. Ultrasound and magnetic resonance (MR) imaging allow identification of single muscles. In addition, ultrasound also offers the possibility to assess muscle architecture and thus to assess physiological CSA as a more likely predictor of muscle forces than anatomical CSA. Although there is currently no single technique in use to simultaneously assess muscle volume, CSA, and architecture at the level of single muscles, this could in future be possible by MR diffusion imaging. Current attempts to quantify muscle “quality” are not directly related to the force-generating capacity and thus only of indirect help. Hence, one should hope that better imaging assessments of muscle will be possible in future. However, despite these current limitations, muscle–bone strength indicators have been defined that can already be used today in order to differentiate primary and secondary bone disorders thus underlining the validity of the “muscle–bone” approach.
Fil: Rittweger, Jorn. German Aerospace Agency; Alemania
Fil: Ferretti, Jose Luis. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
Mechano-Adaptation
Mechanostat
Bone Disorders
Muscle Disorders - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/30849
Ver los metadatos del registro completo
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Imaging Mechanical Muscle–Bone Relationships: How to See the InvisibleRittweger, JornFerretti, Jose LuisMechano-AdaptationMechanostatBone DisordersMuscle Disordershttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3The ontogenetic adaptation of bones to their habitual loads offers a rationale for imaging muscle–bone relationships. Provided that bones adapt to strains that are chiefly determined by muscle contractions, information from muscle and bone scans allows comparing measures of bone stiffness and strength with surrogate measures for muscular force generation. Prediction of the mechanical behavior of bone is nowadays well possible by peripheral quantitative computed tomography (pQCT). However, prediction of muscle forces is not currently feasible. pQCT offers the opportunity to outline gross muscle cross-sectional area (CSA) as a surrogate measure of the force-generating capacity of muscle groups. Ultrasound and magnetic resonance (MR) imaging allow identification of single muscles. In addition, ultrasound also offers the possibility to assess muscle architecture and thus to assess physiological CSA as a more likely predictor of muscle forces than anatomical CSA. Although there is currently no single technique in use to simultaneously assess muscle volume, CSA, and architecture at the level of single muscles, this could in future be possible by MR diffusion imaging. Current attempts to quantify muscle “quality” are not directly related to the force-generating capacity and thus only of indirect help. Hence, one should hope that better imaging assessments of muscle will be possible in future. However, despite these current limitations, muscle–bone strength indicators have been defined that can already be used today in order to differentiate primary and secondary bone disorders thus underlining the validity of the “muscle–bone” approach.Fil: Rittweger, Jorn. German Aerospace Agency; AlemaniaFil: Ferretti, Jose Luis. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaSpringer2014-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/mswordapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/30849Rittweger, Jorn; Ferretti, Jose Luis; Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible; Springer; Journal of Musculoskeletal and Neuronal Interactions; 12; 2; 6-2014; 66-761108-7161CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s12018-014-9166-5info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:54:29Zoai:ri.conicet.gov.ar:11336/30849instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:54:29.713CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible |
title |
Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible |
spellingShingle |
Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible Rittweger, Jorn Mechano-Adaptation Mechanostat Bone Disorders Muscle Disorders |
title_short |
Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible |
title_full |
Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible |
title_fullStr |
Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible |
title_full_unstemmed |
Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible |
title_sort |
Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible |
dc.creator.none.fl_str_mv |
Rittweger, Jorn Ferretti, Jose Luis |
author |
Rittweger, Jorn |
author_facet |
Rittweger, Jorn Ferretti, Jose Luis |
author_role |
author |
author2 |
Ferretti, Jose Luis |
author2_role |
author |
dc.subject.none.fl_str_mv |
Mechano-Adaptation Mechanostat Bone Disorders Muscle Disorders |
topic |
Mechano-Adaptation Mechanostat Bone Disorders Muscle Disorders |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
The ontogenetic adaptation of bones to their habitual loads offers a rationale for imaging muscle–bone relationships. Provided that bones adapt to strains that are chiefly determined by muscle contractions, information from muscle and bone scans allows comparing measures of bone stiffness and strength with surrogate measures for muscular force generation. Prediction of the mechanical behavior of bone is nowadays well possible by peripheral quantitative computed tomography (pQCT). However, prediction of muscle forces is not currently feasible. pQCT offers the opportunity to outline gross muscle cross-sectional area (CSA) as a surrogate measure of the force-generating capacity of muscle groups. Ultrasound and magnetic resonance (MR) imaging allow identification of single muscles. In addition, ultrasound also offers the possibility to assess muscle architecture and thus to assess physiological CSA as a more likely predictor of muscle forces than anatomical CSA. Although there is currently no single technique in use to simultaneously assess muscle volume, CSA, and architecture at the level of single muscles, this could in future be possible by MR diffusion imaging. Current attempts to quantify muscle “quality” are not directly related to the force-generating capacity and thus only of indirect help. Hence, one should hope that better imaging assessments of muscle will be possible in future. However, despite these current limitations, muscle–bone strength indicators have been defined that can already be used today in order to differentiate primary and secondary bone disorders thus underlining the validity of the “muscle–bone” approach. Fil: Rittweger, Jorn. German Aerospace Agency; Alemania Fil: Ferretti, Jose Luis. Universidad Nacional de Rosario. Facultad de Ciencias Médicas. Centro de Estudios de Metabolismo Fosfocálcico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
The ontogenetic adaptation of bones to their habitual loads offers a rationale for imaging muscle–bone relationships. Provided that bones adapt to strains that are chiefly determined by muscle contractions, information from muscle and bone scans allows comparing measures of bone stiffness and strength with surrogate measures for muscular force generation. Prediction of the mechanical behavior of bone is nowadays well possible by peripheral quantitative computed tomography (pQCT). However, prediction of muscle forces is not currently feasible. pQCT offers the opportunity to outline gross muscle cross-sectional area (CSA) as a surrogate measure of the force-generating capacity of muscle groups. Ultrasound and magnetic resonance (MR) imaging allow identification of single muscles. In addition, ultrasound also offers the possibility to assess muscle architecture and thus to assess physiological CSA as a more likely predictor of muscle forces than anatomical CSA. Although there is currently no single technique in use to simultaneously assess muscle volume, CSA, and architecture at the level of single muscles, this could in future be possible by MR diffusion imaging. Current attempts to quantify muscle “quality” are not directly related to the force-generating capacity and thus only of indirect help. Hence, one should hope that better imaging assessments of muscle will be possible in future. However, despite these current limitations, muscle–bone strength indicators have been defined that can already be used today in order to differentiate primary and secondary bone disorders thus underlining the validity of the “muscle–bone” approach. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-06 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/30849 Rittweger, Jorn; Ferretti, Jose Luis; Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible; Springer; Journal of Musculoskeletal and Neuronal Interactions; 12; 2; 6-2014; 66-76 1108-7161 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/30849 |
identifier_str_mv |
Rittweger, Jorn; Ferretti, Jose Luis; Imaging Mechanical Muscle–Bone Relationships: How to See the Invisible; Springer; Journal of Musculoskeletal and Neuronal Interactions; 12; 2; 6-2014; 66-76 1108-7161 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s12018-014-9166-5 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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application/pdf application/msword application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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