Journalartikel

Jahr der Veröffentlichung: 2014

Seiten: 2441-2445

Zeitschrift: Clinical Neurophysiology

Bandnummer: 125

Heftnummer: 12

ISSN: 1388-2457

eISSN: 1872-8952

DOI Link: https://doi.org/10.1016/j.clinph.2014.04.009

Verlag: Elsevier

Abstract: 

Objective: The aim of the study was to confirm the diagnostic performance of dynamic myosonography with regard to its reliability to correctly identify fasciculations and to distinguish them from artefacts. Furthermore, interrater agreement regarding the identification of different muscle movements was investigated.

Methods: A total of 11 observers analysed 25 muscle ultrasound videos acquired using a standardized protocol. The video files illustrated fasciculations and artefacts (voluntary probe movements, voluntary contractions or swallowing and pulsating vessels) in different muscle groups.

Results: Fasciculations could be distinguished from artefacts with a sensitivity of 90.9% and specificity of 98.5%. Interrater agreement regarding the presence or absence of fasciculations showed an overall median of 100% (interquartile range, IQR: 96-100%). In every investigated muscle group, the median of the interpreter agreement was found to be 100% (correct ratings of all observers: submental muscles: 43 of 44; biceps muscles: 22 of 22; forearm flexors: 31 of 33; rectus abdominis muscles: 33 of 33; quadriceps muscles: 19 of 22; tibialis anterior muscles: 51 of 55; undefinable muscles: 65 of 66).

Conclusion: Dynamic myosonography is an extremely reliable tool with excellent interrater agreement to correctly identify fasciculations and to distinguish them from artefacts.

Significance: Myosonography should be further incorporated in clinical routine diagnostic work-up. (C) 2014 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Harvard-Zitierstil: Kraemer, H., Vlazak, A., Doering, K., Tanislav, C., Allendoerfer, J. and Kaps, M. (2014) Excellent interrater agreement for the differentiation of fasciculations and artefacts - A dynamic myosonography study, Clinical Neurophysiology, 125(12), pp. 2441-2445. https://doi.org/10.1016/j.clinph.2014.04.009

APA-Zitierstil: Kraemer, H., Vlazak, A., Doering, K., Tanislav, C., Allendoerfer, J., & Kaps, M. (2014). Excellent interrater agreement for the differentiation of fasciculations and artefacts - A dynamic myosonography study. Clinical Neurophysiology. 125(12), 2441-2445. https://doi.org/10.1016/j.clinph.2014.04.009