[1]丘敏敏,邓永锦,钟嘉健,等.胸部食管癌共面调强放射治疗肺受量预测模型研究[J].中国医学物理学杂志,2020,37(10):1248-1254.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.007]
　QIU Minmin,DENG Yongjin,ZHONG Jiajian,et al.Lung dose prediction model in coplanar intensity-modulated radiotherapy for thoracic esophageal carcinoma[J].Chinese Journal of Medical Physics,2020,37(10):1248-1254.[doi:DOI:10.3969/j.issn.1005-202X.2020.10.007]
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胸部食管癌共面调强放射治疗肺受量预测模型研究()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第10期
页码:
1248-1254
栏目:
医学放射物理
出版日期:
2020-10-29

文章信息/Info

Title:
Lung dose prediction model in coplanar intensity-modulated radiotherapy for thoracic esophageal carcinoma
文章编号:
1005-202X（2020）10-1248-07
作者:
丘敏敏; 邓永锦; 钟嘉健; 肖振华; 包勇
中山大学附属第一医院放射治疗科， 广东 广州 510080
Author(s):
QIU Minmin;  DENG Yongjin;  ZHONG Jiajian;  XIAO Zhenhua;  BAO Yong
Department of Radiation Oncology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
关键词:
食管癌; 共面调强放疗; 肺受量; 预测模型
Keywords:
Keywords: esophageal carcinoma coplanar intensity-modulated radiotherapy lung dose prediction model
分类号:
R735.1；R811.1
DOI:
DOI:10.3969/j.issn.1005-202X.2020.10.007
文献标志码:
A
摘要:
目的：结合胸部食管癌靶区与肺体积和空间解剖位置关系，建立胸部食管癌共面调强放射治疗肺受量预测模型。方法：选取28例胸部食管癌病例，选择其靶区（PGTV，PCTV）处方剂量、靶区体积、肺体积，以及靶区和肺的空间位置关系为输入量，肺受量评价指标（V5，V10，V20，V30及Dmean）作为预测输出量，经主成分分析处理后进行多元非线性回归分析，求出回归方程建立预测模型。结果：肺受量的预测值跟实际值较为接近。其中V5相对误差在-4.37%~2.08%，绝对误差小于2.3%；V10相对误差在-6.53%~1.09%，绝对误差小于2.3%；V20相对误差在-8.99%~7.17%，绝对误差小于1.6%；V30相对误差在-15.93%~11.75%，但绝对误差小于0.9%；Dmean相对误差在-2.73%~2.68%，绝对误差小于31.7 cGy。结论：该模型对胸部食管癌放射治疗中肺受量预测的准确度较高，可作为食管癌放疗计划参数指导及计划评估工具。
Abstract:
Abstract: Objective To construct a lung dose prediction model in coplanar intensity-modulated radiotherapy for thoracic esophageal carcinoma by comprehensively considering planning target volume and lung volume, and the spatial and anatomical?elationships?etween target areas and lungs. Methods The prescription doses of target areas (PGTV, PCTV), target volume, lung volume, and the spatial and position relationships between target areas and lungs in 28 patients with thoracic esophageal carcinoma were selected as the input, while lung dosimetric indexes (V5, V10, V20, V30 and Dmean) were selected as the predicted output. After principal component analysis, multiple nonlinear regression analysis was carried out for obtaining the regression equation to establish the prediction model. Results The predicted values of lung doses were close to the actual values. The relative errors of V5, V10, V20, V30 and Dmean were from -4.37% to 2.08%, -6.53% to 1.09%, -8.99% to 7.17%, -15.93% to 11.75%, and -2.73% to 2.68%, respectively, and the corresponding absolute errors were less than 2.3%, 2.3%, 1.6%, 0.9% and 31.7 cGy, respectively. Conclusion The prediction model which has a high accuracy in lung dose prediction in coplanar intensity-modulated radiotherapy for thoracic esophageal carcinoma can be used as a guidance and planning evaluation tool for esophageal carcinoma radiotherapy planning.

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备注/Memo

备注/Memo:
【收稿日期】2020-03-18 【作者简介】丘敏敏，技师，研究方向：从事CT模拟机、直线加速器等操作及研究，E-mail: qiumm@mail.sysu.edu.cn 【通信作者】包勇，硕士，副主任医师，研究方向：肿瘤放化综合治疗，E-mail: baoyong@mail.sysu.edu.cn
更新日期/Last Update: 2020-10-29