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Improving Heckmatt muscle ultrasound grading scale through Rasch analysis.
Wijntjes, Juerd; Saris, Christiaan; Doorduin, Jonne; van Alfen, Nens; van Engelen, Baziel; Mul, Karlien.
Afiliación
  • Wijntjes J; Department of Neurology, Clinical Neuromuscular Imaging Group, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, the Netherlands. Electronic address: juerd.wijntjes@radboudumc.nl.
  • Saris C; Department of Neurology, Clinical Neuromuscular Imaging Group, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, the Netherlands.
  • Doorduin J; Department of Neurology, Clinical Neuromuscular Imaging Group, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, the Netherlands.
  • van Alfen N; Department of Neurology, Clinical Neuromuscular Imaging Group, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, the Netherlands.
  • van Engelen B; Department of Neurology, Clinical Neuromuscular Imaging Group, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, the Netherlands.
  • Mul K; Department of Neurology, Clinical Neuromuscular Imaging Group, Donders Institute for Brain, Cognition and Behaviour, Radboud university medical center, Nijmegen, the Netherlands.
Neuromuscul Disord ; 42: 14-21, 2024 Sep.
Article en En | MEDLINE | ID: mdl-39059056
ABSTRACT
The 4-point Heckmatt grading scale can easily be used to analyze muscle ultrasound images. The scale is used in an expanding set of muscles and neuromuscular disorders. This prompted the need for evaluation of the measurement properties of the scale in its current form. In this retrospective observational study we included muscle ultrasound images from patients who were undergoing an ultrasound exam for either clinical or research purposes. The primary outcome of this study was to investigate and improve the measurement properties of the Heckmatt scale using Rasch analysis. We investigated whether observers consistently used the 4 response categories. Data was available of 30.967 muscle ultrasound images from 1783 patients and 43 different individual muscles. In 8 of the 43 muscles, observers had difficulty to discriminate between the response categories, especially in bulbar muscles. After rescoring to a 3-point scale, the response categories were consistently used in all 43 muscles. In conclusion, a 3-point Heckmatt grading scale leads to improved accurate scoring compared to the original 4-point Heckmatt grading scale. Using the 3-point Heckmatt grading scale will not only simplify the use of the scale but also enhance its application in clinical practice and research purposes.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ultrasonografía / Músculo Esquelético / Enfermedades Neuromusculares Límite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neuromuscul Disord Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ultrasonografía / Músculo Esquelético / Enfermedades Neuromusculares Límite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neuromuscul Disord Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido