[1]刘致滨,石锦平,张利文,等.光子优化算法在宫颈癌术后调强计划中的剂量学分析[J].中国医学物理学杂志,2019,36(7):765-769.[doi:DOI:10.3969/j.issn.1005-202X.2019.07.005]
　LIU Zhibin,SHI Jinping,ZHANG Liwen,et al.Dosimetric analysis of photon optimization algorithm in postoperative intensity-modulatedradiotherapy for cervical cancer[J].Chinese Journal of Medical Physics,2019,36(7):765-769.[doi:DOI:10.3969/j.issn.1005-202X.2019.07.005]
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光子优化算法在宫颈癌术后调强计划中的剂量学分析()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
36卷
期数:
2019年第7期
页码:
765-769
栏目:
医学放射物理
出版日期:
2019-07-25

文章信息/Info

Title:
Dosimetric analysis of photon optimization algorithm in postoperative intensity-modulated radiotherapy for cervical cancer
文章编号:
1005-202X（2019）07-0765-05
作者:
刘致滨; 石锦平; 张利文; 谢秋英; 滕建建; 李盈辉
佛山市第一人民医院（中山大学附属佛山医院）肿瘤中心放疗科，广东佛山528000
Author(s):
LIU Zhibin;  SHI Jinping;  ZHANG Liwen;  XIE Qiuying;  TENG Jianjian;  LI Yinghui
Department of Radiation Oncology, Cancer Center, the First People’s Hospital of Foshan (Affiliated Foshan Hospital of Sun Yat-sen University), Foshan 528000, China
关键词:
宫颈癌; 调强放疗; 光子优化算法; 剂量体积优化算法; 剂量学分析
Keywords:
Keywords: cervical cancer;  intensity-modulated radiotherapy;  photon optimization algorithm;  dose volume optimization algorithm;  dosimetric analysis
分类号:
R730.55；R737.33
DOI:
DOI:10.3969/j.issn.1005-202X.2019.07.005
文献标志码:
A
摘要:
目的：探讨宫颈癌术后调强放射治疗（IMRT）计划中采用光子优化（PO）算法与常规的剂量体积优化（DVO）算法的 剂量学差异。方法：选取20例接受宫颈癌术后IMRT的患者。勾画靶区和危及器官后，分别设计基于PO算法和DVO算 法的两种IMRT计划，比较两种计划的剂量学特性、剂量验证通过率和治疗计划的效率。结果：两种计划中计划靶区 （PTV）的D98%、靶区覆盖率和均匀性指数无明显差异，但是PO计划在PTV的D2%、Dmean均低于DVO计划（P=0.019, 0.016）， 同时PTV的适形度指数优于DVO计划（P=0.005）。在危及器官保护上，PO计划的膀胱V30和左股骨头V20低于DVO计划 （P=0.000, 0009），但是小肠V15、直肠V30和左右侧股骨头V30高于DVO计划（P=0.000, 0.001, 0.000, 0.000）。PO计划在正 常组织V30的受量上低于DVO计划（P=0.005），但在V5和V10的受量上高于DVO计划（P=0.000, 0.000）。两种计划的剂量 验证通过率均能满足治疗的要求，其中PO计划通过率为（98.06±0.81）%，优于DVO计划通过率（96.05±1.09）%。PO计划 相比DVO计划，机器跳数平均减少10.7%，治疗时间平均减少10.5%，优化耗时平均缩短35.4%。结论：PO计划和DVO计 划都能满足临床要求。PO算法应用于宫颈癌术后IMRT在靶区剂量分布上略有优势，能够提高靶区适形度，减少机器跳 数，缩短计划设计时间和治疗时间，同时剂量投照更准确。
Abstract:
Abstract: Objective To explore the dosimetric differences between photon optimization (PO) algorithm and conventional dose volume optimization (DVO) algorithm in postoperative intensity-modulated radiotherapy (IMRT) for cervical cancer. Methods Twenty patients who received postoperative IMRT for cervical cancer were enrolled in this study. After target areas and organsat- risk were delineated, two kinds of IMRT plans, namely PO plan and DVO plan, were designed based on PO algorithm and DVO algorithm, separately. The dosimetric characteristics, passing rate and treatment efficiency of the two kinds of treatment plans were evaluated. Results No significant difference was found in the D98%, target coverage and homogeneity index of planning target volume (PTV). However, compared with those in DVO plan, the D2% and Dmean of PTV were lower in PO plan (P=0.019, 0.016), and the conformity index (CI) of PTV was better in PO plan (P=0.005). The V30 of bladder and V20 of left femoral head in PO plan were lower than those in DVO plan (P=0.000, 0009), while the V15 of small intestine, V30 of rectum and V30 of left and right femoral heads in PO plan were higher than those in PO plan (P=0.000, 0.001, 0.000, 0.000). Compared with DVO plan, PO plan had a lower dose exposure in the V30 of normal tissues (P=0.005) and higher dose exposures in the V5 and V10 of normal tissue (P=0.000, 0.000). The passing rates of two kinds of plans met treatment requirements, and the passing rate of PO plan were (98.06±0.81)%, higher than (96.05±1.09)% of DVO plan. Compared with those of DVO plan, the monitor units in PO plan was decreased by an average of 10.7%; the treatment time was reduced by an average of 10.5%; and the optimization time was shortened by an average of 35.4%. Conclusion Both PO plan and DVO plan can satisfy clinical requirements. The application of PO algorithm in IMRT plan for cervical cancer which has advantages in the target dose distribution can improve the target conformity, reduce monitor units, shorten planning time and treatment time, and achieve a more accurate dose exposure. Keywords: cervical cancer; intensity-modulated radiotherapy; photon optimization algorithm; dose volume optimization algorithm;

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备注/Memo

备注/Memo:
【收稿日期】2019-01-23 【基金项目】国家科技部课题（2017YFC0113205） 【作者简介】刘致滨，硕士，研究方向：放疗物理，E-mail: lzbin2008@sina.com 【通信作者】石锦平，主任技师，研究方向：放疗计划设计与质量控制，E-mail: rath55@126.com
更新日期/Last Update: 2019-07-24