PB算法与XVMC算法在肺癌和宫颈癌中的剂量学对比

发布时间：2018-07-03 00:16

本文选题：容积弧形调强 + 笔形束算法　；参考：《实用医学杂志》2015年09期

【摘要】：目的:比较MONACO计划系统中PB算法与XVMC算法分别在肺癌和宫颈癌中的剂量学差异。方法:随机选取17例肺癌病例和8例宫颈癌病例,在MONACO计划系统上分别采用XVMC算法和PB算法设计计划,分析两种算法在肺癌和宫颈癌中靶区和危及器官的剂量学差异。结果:PB算法与XVMC算法在肺癌和宫颈癌中的靶区剂量学参数差异均有统计学意义(P0.001);在肺癌中,脊髓的Dmax、心脏的D33以及食管的Dmax,双侧肺组织的V5差异有统计学意义(P0.05);在宫颈癌中,小肠、膀胱以及直肠的平均剂量Dmean,小肠的V30、V40以及膀胱、直肠的V20、V30、V40差异均有统计学意义(P0.05)。结论:PB算法在胸部肿瘤(肺癌)的VMAT计划中,无论靶区还是危及器官,其剂量计算精确度与XVMC算法相比差异均有统计学意义;在腹部肿瘤(宫颈癌)中,两种算法的靶区剂量学差异范围较小,危及器官的差异主要体现在小肠、膀胱和直肠的受照射体积(V20、V30、V40)。
[Abstract]:Objective: To compare the dosimetry difference between the PB algorithm and the XVMC algorithm in the MONACO system in lung cancer and cervical cancer. Methods: 17 cases of lung cancer and 8 cases of cervical cancer were selected randomly. The XVMC algorithm and PB algorithm design plan were adopted on the MONACO planning system respectively, and the target and endanger organs of the two algorithms in lung cancer and cervical cancer were analyzed. Dosimetry differences. Results: the difference in dosimetry parameters between PB and XVMC in lung and cervical cancer was statistically significant (P0.001). In lung cancer, the Dmax of the spinal cord, the D33 of the heart, and the Dmax of the esophagus were statistically significant (P0.05) in the bilateral lung tissues (P0.05), and the average dose of Dmea in the small intestine, bladder and rectum in cervical cancer was Dmea N, the V30, V40, and bladder, and the V20, V30, and V40 of the rectum were statistically significant (P0.05). Conclusion: in the VMAT plan of the chest tumor (lung cancer), the accuracy of the dose calculation of the PB algorithm is compared with the XVMC algorithm in both the target area and the organ. In the abdominal tumor (cervical cancer), the two target area agents are used in the abdominal tumor (cervical cancer). The difference between the two groups is small, and the difference of organ endangering organs is mainly reflected in the irradiation volume of the small intestine, bladder and rectum (V20, V30, V40).
【作者单位】：四川大学物理学院;四川省肿瘤医院和研究所放疗中心;
【分类号】：R730.55

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