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Visual screening of muscle ultrasound images in children.
Brandsma, Rick; Verbeek, Renate J; Maurits, Natasha M; van der Hoeven, Johannes H; Brouwer, Oebele F; den Dunnen, Wilfred F A; Burger, Huibert; Sival, Deborah A.
Afiliação
  • Brandsma R; Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Verbeek RJ; Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Maurits NM; Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • van der Hoeven JH; Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Brouwer OF; Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • den Dunnen WF; Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Burger H; Department of General Practice, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
  • Sival DA; Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. Electronic address: D.A.Sival@umcg.nl.
Ultrasound Med Biol ; 40(10): 2345-51, 2014 Oct.
Article em En | MEDLINE | ID: mdl-25023119
ABSTRACT
In children, non-invasive muscle ultrasound (MU) imaging has become increasingly important for the detection of neuromuscular pathology, by either quantitative or visual assessment. MU quantification requires time, expertise and equipment. If application of visual MU screening provides reliable results, ubiquitous application could be advocated. Previously, we found that visual MU screening can reliably detect segmental neuromuscular alterations within a patient. Analogously, we reasoned that visual MU screening could discern pathologic MU images from healthy controls. We therefore investigated visual screening results by 20 clinical observers (involving 100 MU images, with [n = 53] and without [n = 47] neuromuscular pathology). MU screening revealed adequate sensitivity, specificity and negative predictive value (85%, 75% and 82%, respectively). MU-experienced observers revealed higher specificity than MU-inexperienced observers (86% vs. 69%, p = 0.005). We conclude that clinical observers can identify neuromuscular pathology by visual screening. To enhance specificity, a secondary view by an expert appears advisory.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Neuromusculares Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies / Screening_studies Limite: Child / Female / Humans / Male Idioma: En Revista: Ultrasound Med Biol Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Neuromusculares Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies / Screening_studies Limite: Child / Female / Humans / Male Idioma: En Revista: Ultrasound Med Biol Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Holanda