Muscle & nerve · 2020
Sensitivity and specificity of single and combined clouds analyses compared with quantitative motor unit potential analysis.
Сравнительное исследованиеСтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Li Chuqiao, Jiang Anqi, Ding Qingyun, Hu Youfang, Wang Yao, Tian Ge, Wang Honghao, Pan Suyue, Cui Liying, Peng Yu
Аннотация
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.
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.
Предметные рубрики MeSH
AdolescentAdultAgedAged, 80 and overAmyotrophic Lateral SclerosisDermatomyositisDiagnosis, DifferentialElectrodiagnosisElectromyographyFemaleHumansMaleMiddle AgedMononeuropathiesMotor Neuron DiseaseMuscle, SkeletalMuscular Atrophy, SpinalMuscular DiseasesMuscular DystrophiesMyositisPeripheral Nervous System DiseasesPolyneuropathiesRadiculopathyRecruitment, NeurophysiologicalSensitivity and SpecificitySignal Processing, Computer-AssistedSpinal Muscular Atrophies of ChildhoodYoung Adult