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Sonoelastography: musculoskeletal applications.
Klauser, Andrea S; Miyamoto, Hideaki; Bellmann-Weiler, Rosa; Feuchtner, Gudrun M; Wick, Marius C; Jaschke, Werner R.
Afiliação
  • Klauser AS; From the Department of Diagnostic Radiology (A.S.K., G.M.F., M.C.W., W.R.J.) and Department of Internal Medicine I, Division of Clinical Immunology and Infectious Diseases (R.B.W.), Medical University Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria; and Department of Orthopaedic Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan (H.M.).
Radiology ; 272(3): 622-33, 2014 Sep.
Article em En | MEDLINE | ID: mdl-25153273
ABSTRACT
All participants for image samplings provided written informed consent. Conventional B-mode ultrasonography (US) has been widely utilized for musculoskeletal problems as a first-line approach because of the advantages of real-time access and the relatively low cost. The biomechanical properties of soft tissues reflect to some degree the pathophysiology of the musculoskeletal disorder. Sonoelastography is an in situ method that can be used to assess the mechanical properties of soft tissue qualitatively and quantitatively through US imaging techniques. Sonoelastography has demonstrated feasibility in the diagnosis of cancers of the breast and liver, and in some preliminary work, in several musculoskeletal disorders. The main types of sonoelastography are compression elastography, shear-wave elastography, and transient elastography. In this article, the current knowledge of sonoelastographic techniques and their use in musculoskeletal imaging will be reviewed.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Interpretação de Imagem Assistida por Computador / Aumento da Imagem / Doenças Musculoesqueléticas / Técnicas de Imagem por Elasticidade Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Interpretação de Imagem Assistida por Computador / Aumento da Imagem / Doenças Musculoesqueléticas / Técnicas de Imagem por Elasticidade Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article