摘要
目的 :研究肝癌术后复发的影响因素。方法 :采用 BP人工神经网络分析方法对肝癌术后复发的可能影响因素进行筛选。 结果 :选出了有统计学意义的肝癌预后影响因素。其中单因素分析选出 18项影响因素 ;多因素分析选出 9项 :术前是否接受碘油栓塞 (TAE)治疗、B超示门脉癌栓、切缘与肿瘤的距离、肿瘤生长方式、TNM分期、术后 AFP水平、术后远处器官转移、术后行 TAE治疗和术后免疫中药治疗。结论 :该 9项影响因素可作为判断肝癌术后复发的重要指标。人工神经网络方法用于肝癌预后影响因素的分析效果理想 ,可为临床判断肝癌预后提供科学客观的数量化依据。
Objective: To explore the affecting factors of liver cancer recurrence after hepatectomy. Methods: The BP artificial neural network was used to analyze the factors affecting liver cancer recurrence after hepatectomy. Results: To select the affecting factors with statistical significance in liver cancer prognosis. The 18 factors were selected by univariate analysis. The 9 factors were selected by multivariate analysis. Conclusion: The 9 factors selected can be important indexes to evaluate the recurrence of liver cancer patients after hepatectomy. The artificial neural network is a better method. This study can provide scientific and objective data for evaluating prognosis of liver cancer. [
出处
《第二军医大学学报》
CAS
CSCD
北大核心
2000年第11期1077-1079,共3页
Academic Journal of Second Military Medical University
基金
国家自然科学基金资助项目 ( 3 9770 83 5 )
关键词
人工神经网络
肝肿瘤
预后
手术后复发
neural network, artificial
liver neoplasms
prognosis
affecting factors
