基于代谢组学腰椎间盘退变的计算机辅助诊断

Computer aided diagnosis of lumbar disc degeneration based on metabolomics

背景:腰椎间盘退变诊断对预防腰椎疾病意义重大,但目前对其诊断主要依赖于影像医师的主观评价,易因个人经验不足产生误判。目的:建立自动识别腰椎间盘退变等级的计算机辅助诊断方法,为影像医师提供参考。方法:采用Spearman相关分析验证腰椎间盘的MRI代谢指标与腰椎间盘退变的Pfirrmann等级相关性,并建立可用于腰椎间盘退变智能诊断的Softmax回归、神经网络和支持向量机等多种分类器。结果与结论:相关性分析结果表明,椎间盘相邻上下位椎体脂肪分数FF值和T2^(*)值等3种生化代谢指标都与腰椎间盘退变显著相关,softmax回归、神经网络和支持向量机3种诊断模型的分类准确率分别为0.477,0.515和0.523,kappa系数分别为0.311,0.300和0.330。实际分析结果表明,采用MRI代谢指标建立腰椎间盘退变智能辅助诊断是可行的,为腰椎间盘退变诊断提供了一种可期的途径。

BACKGROUND:The diagnosis of lumbar disc degeneration is of great significance for the prevention of lumbar disease,and the diagnosis of lumbar disc degeneration mainly relies on the subjective evaluation of the imaging physician,which is likely to misjudge because of insufficient experience.OBJECTIVE:To propose a computer-aided diagnosis technique for classification on the lumbar disc degeneration,and to provide reference for imaging doctors.METHODS:Spearman correlation analysis is used to verify the correlation between magnetic resonance imaging metabolic indices of lumbar intervertebral disc and the Pfirrmann grades of lumbar disc degeneration.Several classifiers for the intelligent diagnosis of lumbar disc degeneration are developed by means of machine learning strategies such as the Softmax regression,the neural network and the support vector machine.RESULTS AND CONCLUSSION:The result of correlation analysis showed that three metabolic indices such as fat fraction(FF)of adjacent upper and lower vertebral bodies of degenerative disc,T2^(*)values were significantly correlated with lumbar disc degeneration.The classification accuracy of the softmax regression,the neural network and the support vector machine respectively was 0.477,0.515 and 0.523,and kappa’s coefficient of these three diagnostic models was 0.311,0.300 and 0.330,respectively.The actual analysis indicates that it is feasible to establish a computer-aided intelligent diagnosis of lumbar disc degeneration by using the MRI metabolic indices,showing a promising approach for the diagnosis of lumbar disc degeneration.