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Sensitivity and specificity of single and combined clouds analyses compared with quantitative motor unit potential analysis.
Li, Chuqiao; Jiang, Anqi; Ding, Qingyun; Hu, Youfang; Wang, Yao; Tian, Ge; Wang, Honghao; Pan, Suyue; Cui, Liying; Peng, Yu.
Afiliación
  • Li C; Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Jiang A; Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Ding Q; Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Beijing, China.
  • Hu Y; Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Beijing, China.
  • Wang Y; Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Tian G; Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Wang H; Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Pan S; Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Cui L; Department of Neurology, Peking Union Medical College Hospital, Peking Union Medical College, Beijing, China.
  • Peng Y; Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Muscle Nerve ; 63(2): 225-230, 2021 02.
Article en En | MEDLINE | ID: mdl-33099787
ABSTRACT

INTRODUCTION:

Turns-amplitude, number of small segments (NSS)-activity, and envelope-activity clouds are three methods of electromyography (EMG) interference pattern analysis. Our objective was to evaluate the sensitivity and specificity of each individual cloud analysis and combined clouds analysis to compare with that of quantitative motor unit potential (QMUP) analysis.

METHODS:

A total of 379 muscles from 100 patients were analyzed by both QMUP and clouds analyses. Calculation of sensitivity and specificity was based on the clinical diagnosis as the "gold standard."

RESULTS:

For discrimination of abnormal vs normal and neuropathic vs non-neuropathic, combined clouds analysis had greater sensitivity than QMUP analysis and any single cloud analysis, but there were no differences in specificity. For discrimination of myopathic vs non-myopathic, combined clouds analysis and single cloud analysis had greater sensitivity than QMUP analysis, but there were no differences in specificity.

DISCUSSION:

Combined clouds analysis was superior to QMUP and each single cloud analysis for distinguishing normal, myopathic, and neuropathic muscles.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de la Neurona Motora / Enfermedades del Sistema Nervioso Periférico / Músculo Esquelético / Electromiografía / Enfermedades Musculares Tipo de estudio: Diagnostic_studies Límite: Aged80 Idioma: En Revista: Muscle Nerve Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedad de la Neurona Motora / Enfermedades del Sistema Nervioso Periférico / Músculo Esquelético / Electromiografía / Enfermedades Musculares Tipo de estudio: Diagnostic_studies Límite: Aged80 Idioma: En Revista: Muscle Nerve Año: 2021 Tipo del documento: Article País de afiliación: China