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为了探讨微量元素对肺癌的诊断价值,对46例肺癌患者和50例健康人血液中锌(Zn)、铁(Fe)、钙(Ca)、镁(Mg)、镉(Cd)、铜(Cu)、铅(Pb)7种微量元素含量进行测定并计算铜/锌比值。利用统计学方法 ROC曲线来分析7种微量元素及铜/锌比值对于肺癌诊断的灵敏性和特异性以及对肺癌的诊断价值,期望找到微量元素肺癌标志物,为今后肺癌诊断提供新的方法和途径。通过ROC曲线分析,能够看出镁元素的ROC曲线较其它元素曲线而言,更靠近左上角,离对角线的距离也相对较远。同时利用独立样本T检验方法进行分析,结果显示镁和铅元素存在显著性差异,而且镁的显著性差异更为明显。综上,镁元素的含量可能为肺癌诊断提供线索,但是一种微量元素的含量可能与其它微量元素之间存在相互关系,还需要作深入的研究。
In order to explore the value of trace elements in the diagnosis of lung cancer, the serum levels of Zn, Fe, Ca, Mg, Cd and Cu in 46 lung cancer patients and 50 healthy people were measured. ), Lead (Pb) seven kinds of trace elements were measured and calculated copper / zinc ratio. Using statistical method ROC curve to analyze the sensitivity and specificity of seven trace elements and copper / zinc ratio in the diagnosis of lung cancer and the diagnostic value of lung cancer, we hope to find the trace element lung cancer markers and provide a new method for lung cancer diagnosis in the future way. By ROC curve analysis, it can be seen that the ROC curve of magnesium element is closer to the upper left corner than the other element curves, and the distance from the diagonal line is comparatively far. At the same time, the method of independent sample T test was used to analyze the results. The results showed that there was a significant difference between magnesium and lead, and the significant difference of magnesium was more obvious. In summary, the content of magnesium may provide clues for the diagnosis of lung cancer, but the content of one trace element may be interrelated with other trace elements, but also needs further study.