基于数据挖掘获取肺癌放射治疗计划靶区外放边界

目的 基于数据挖掘获取对肺癌进行放射治疗时，针对不同体质量指数(BMI)及治疗等中心点患者的个体化计划靶区外放边界(MPTV)。方法 回顾性413例接受放射治疗的肺癌患者，分析锥形束CT(CBCT)图像引导放射治疗(IGRT)肺癌疗次间的摆位误差，并进行数据挖掘，计算群体系统误差、随机误差，获取不同BMI及不同治疗等中心点肺癌患者的个体化MPTV。结果 不同BMI患者IGRT不同疗次间x轴方向上的摆位误差差异有统计学意义(P<0.05);不同治疗等中心点患者IGRT不同疗次间x、z轴上的摆位误差差异有统计学意义(P均<0.05)。基于数据挖掘成功获取不同BMI及治疗等中心点肺癌患者放射治疗的个体化MPTV和具体参考值。结论 基于数据挖掘可成功获取放射治疗中对于不同BMI及治疗等中心点肺癌患者的个体化MPTV。

Obtaining margins of planning target volume in radiotherapy of lung cancer through data mining

Objective To obtain the individualized margins of planning target volume (MPTV) in radiotherapy of lung cancer in patients categorized by different body mass index (BMI) and treatment isocenters based on data mining. Methods Totally 413 lung cancer patients who completed image-guided radiation therapy (IGRT) through cone beam CT (CBCT) were enrolled. The inter-fractional setup errors were explored, and data mining was performed to calculate the group systematic errors and random errors, and to obtain individualized MPTV of patients with different BMI and different treatment isocenters. Results IGRT inter-fractional setup errors of different BMI patients were significantly different in the x axis (P<0.05), while IGRT inter-fractional setup errors of different treatment isocenters were significantly different in the x and z axis (both P<0.05). Individualized MPTV of IGRT for lung cancer patients with different BMI and treatment isocenters were obtained based on data mining, with specific reference values. Conclusion Individualized MPTV of IGRT in radiotherapy of lung cancer in patients with different BMI and treatment isocenters could be successfully obtained based on data mining.