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Identification of cervical radiculo-myelopathy using Distribution of F-Latency (DFL), a new nerve conduction parameter

机译:利用新的神经传导参数F潜伏期(DFL)分布识别颈神经根性脊髓病

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Distribution of F-latency (DFL) is a new nerve conduction parameter conceived and developed at Dhaka University which appears to have the ability to detect cervical radiculo-myelopathy early. The present work was taken up to evaluate its performance against diagnosis made using MRI on 24 median nerves of 12 patients reporting cervical radiculo-myelopathy at the Singapore General Hospital. Predictive analyses were carried out using contingency tables to evaluate the classification ability of DFL as against MRI as the standard. For the first analysis only double peaks or distinct broad peaks of DFL were assumed to indicate pathology. However, the sensitivity and accuracy could be improved significantly through redefining a broad peak as the pattern where the frequency of occurrence of a bin adjacent to the peak was greater than one third of the peak value, which was shown by a second analysis. A third analysis was also performed where a case of sensori-motor neuropathy, not identified as radiculo-myelopathy by MRI, was also included as an abnormality. This gave 88% accuracy (correct prediction) and 90% sensitivity. The rather low specificity value, at 67%, was due to the fact that the number of negative cases in the study group was small (5 out of 24). DFL has the potential of identifying cervical radiculo-myelopathy besides certain other peripheral neuropathy and may be used as a first line diagnostic or screening technique. Bangladesh Journal of Medical Physics Vol.7 No.1 2014 34-45
机译:F-潜伏期(DFL)的分布是达卡大学构思和开发的一种新的神经传导参数,似乎具有早期发现宫颈神经根脊髓病的能力。目前的工作是针对新加坡综合医院对12例报告颈神经根型脊髓病的患者的24条正中神经进行MRI诊断,以评估其性能。使用列联表进行预测分析,以评估DFL对MRI的分类能力(以MRI为标准)。对于第一个分析,仅假设DFL的双峰或明显的宽峰表示病理。但是,通过将宽峰重新定义为与峰相邻的仓的发生频率大于峰值的三分之一的模式,可以显着提高灵敏度和准确性。还进行了第三次分析,其中一例感觉运动神经病(通过MRI未确定为神经根脊髓病)也被视为异常。这给出了88%的准确度(正确的预测)和90%的灵敏度。特异性值较低,为67%,这是由于研究组阴性病例的数量很少(24个病例中有5个)。除某些其他周围神经病变外,DFL还具有识别子宫颈神经根脊髓病的潜力,可以用作一线诊断或筛查技术。孟加拉国医学物理学杂志2014年第7卷第1期34-45

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