Established paths and new avenues: a review of the main radiological techniques for investigating sarcopenia.

Sarcopenia absorptiometry computed tomography (CT) magnetic resonance (MR) radiology

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
Aug 2020
Historique:
entrez: 4 8 2020
pubmed: 4 8 2020
medline: 4 8 2020
Statut: ppublish

Résumé

Sarcopenia is a clinical condition mainly affecting the elderly that can be associated in a long run with severe consequences like malnutrition and frailty. Considering the progressive ageing of the world population and the socio-economic impact of this disease, much effort is devoted and has to be further focused on an early and accurate diagnostic assessment of muscle loss. Currently, several radiological techniques can be applied for evaluating sarcopenia. If dual-energy X-ray absorptiometry (DXA) is still considered the main tool and it is even recommended as reference by the most current guidelines of the European working group on sarcopenia in older people (EWGSOP), the role of ultrasound (US), computed tomography (CT), peripheral quantitative CT (pQCT), and magnetic resonance imaging (MRI) should not be overlooked. Indeed, such techniques can provide robust qualitative and quantitative information. In particular, regarding MRI, the use of sequences like diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), magnetic resonance spectroscopy (MRS) and mapping that could provide further insights into the physiopathological features of sarcopenia, should be fostered. In an era pointing to the quantification and automatic evaluation of diseases, we call for future research extending the application of organ tailored protocols, taking advantage of the most recent technical developments.

Identifiants

pubmed: 32742955
doi: 10.21037/qims.2019.12.15
pii: qims-10-08-1602
pmc: PMC7378089
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1602-1613

Informations de copyright

2020 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims.2019.12.15). GG served as the unpaid Guest Editor of the special issue and serves as an unpaid editorial board member of Quantitative Imaging in Medicine and Surgery. The authors have no other conflicts of interest to declare.

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Auteurs

Chiara Giraudo (C)

Radiology Institute, Department of Medicine-DIMED, University of Padova, Padova, Italy.

Annachiara Cavaliere (A)

Radiology Institute, Department of Medicine-DIMED, University of Padova, Padova, Italy.

Amalia Lupi (A)

Radiology Institute, Department of Medicine-DIMED, University of Padova, Padova, Italy.

Giuseppe Guglielmi (G)

Department of Radiology, Scientific Institute "Casa Sollievo della Sofferenza" Hospital, University of Foggia, Foggia, Italy.

Emilio Quaia (E)

Radiology Institute, Department of Medicine-DIMED, University of Padova, Padova, Italy.

Classifications MeSH