摘要
目的分析人工神经网络技术(ANN)与循环肿瘤细胞(CTC)、三叶因子3(TFF3)、载脂蛋白C1(APOC1)联合应用于肺癌诊疗中的效果。方法将收治的92例肺癌患者、80例肺良性病变患者以及52例健康体检合格的同龄健康志愿者分别纳为肺癌组、肺良性病变组及健康对照组。抽取被研究者外周静脉血,检测其血清CTC、TFF3以及APOC1水平,利用SPSS对数据进行归一化处理,在Matlab7.0上建立ANN诊断模型,并对相应的测试集进行预测诊断,绘制ROC,分析ANN模型在鉴别肺癌中的价值。结果肺癌组、肺良性病变组以及健康对照组患者外周血CTC阳性率、TFF3以及APOC1水平比较,差异具有统计学意义(P<0.05)。基于外周血CTC、TFF3及APOC1构建的AVV模型对健康对照组、肺良性病变组以及肺癌组的识别正确率分别为91.30%、85.00%及84.62%。结论基于外周血CTC、FTT3以及APOC1联合检测建立的ANN预测模型,能有效鉴别健康者、肺良性病变及肺癌患者,可用于临床肺癌辅助诊断,提高肺癌筛查效果。
Objective To analyze the effect of artificial neural network(ANN)technology combined with circulating tumor cells(CTC),trefoil factor 3(TFF3)and apolipoprotein C1(APOC1)in the diagnosis and treatment of lung cancer.Methods Ninety-two patients with lung cancer,80 patients with benign lung lesions and 52 healthy individuals were enrolled as lung cancer group,benign lung lesion group and healthy control group respectively.Serum CTC,TFF3 and APOC1 levels in peripheral blood were measured.Data process was performed using SPSS software.ANN diagnostic model was established on Matlab7.0,and the predictive diagnostics on the corresponding test set was also performed.Thereafter,receiver operating characteristic(ROC)curve was used to evaluate the value of ANN model in identifying lung cancer.Results The peripheral blood positive rate of CTC and the levels of TFF3 and APOC1 yielded statistical difference among three groups(P<0.05).The accuracy rates of the AVV model based on peripheral blood CTC,TFF3 and APOC1 were 91.30%,85.00%and 84.62%for healthy controls,benign lung lesions and lung cancer groups respectively.Conclusion ANN prediction model based on peripheral blood CTC,FTT3 and APOC1 can effectively identify healthy individuals,benign lung lesions and lung cancer,and can be used for auxiliary diagnosis of lung cancer and improve the screening efficacy of lung cancer.
作者
高阳辉
刘传文
李慧敏
刘琳
白宗达
GAO Yanghui;LIU Chuanwen;LI Huimin(Puyang Oilfield General Hospital,Puyang,457001)
出处
《实用癌症杂志》
2022年第12期1997-2000,共4页
The Practical Journal of Cancer
关键词
人工神经网络
循环肿瘤细胞
三叶因子3
载脂蛋白C1
肺癌诊疗
Artificial neural network
Circulating tumor cells
Trefoil factor 3
Apolipoprotein C1
Diagnosis and treatment of lung cancer
