【摘要】 射频消融过程非常复杂,它的疗效影响因素多且关系复杂。在冷极射频消融仪治疗肿瘤过程中,射频输出功率和循环水泵转速起着重要作用。为扩大消融范围,达到一次性灭活肿瘤细胞,在治疗前,需选择适当的治疗参数。将BP神经网络模型引入射频消融中,建立冷极射频消融凝固灶预测的模型,并对效果进行检验。结果表明:检验样本中消融凝固灶与实际值的线性相关系数为0.988。针对消融横径,其相对误差的平均值为0.01。该模型对射频消融参数设置起到一定的支持作用,具有一定的实际参考价值。更多还原

【Abstract】 The process of radiofrequency ablation is very complicated,there are many factors to influence the effect and the relation is complex.The power output by RF and circulating pump speed plays an important role in the process of treatment by cooled-tip RFA.To expand the scope of ablation,the appropriate parameters should be selected to achieve one-time inactivated tumor cells before treatment.The BP neural network is introduced in the radiofrequency ablation.A model of coagulation zone prediction induced by cooled-tip radiofrequency ablation is built.The results show that the test sample correlation coefficient of linear ablation lesion and actual value is 0.988.For ablation diameter,the average value of the relative error is 0.01.The model plays a supporting role on parameter setting of radiofrequency ablation,which has some practical value.更多还原