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头颈肿瘤调强放疗结构命名标准化的方法与实现
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  • 英文篇名:Method and implementation of structure nomenclature standardization in intensity-modulated radiotherapy of head and neck tumors
  • 作者:游依琪 ; 郑万佳 ; 郑智满 ; 黄慎 ; 陆世培 ; 张俊 ; 李存啸 ; 陶亚岚 ; 林承光 ; 杨鑫 ; 黄晓延 ; 夏云飞
  • 英文作者:YOU Yiqi;ZHENG Wanjia;ZHENG Zhiman;HUANG Shen;LU Shipei;ZHANG Jun;LI Cunxiao;TAO Yalan;LIN Chengguang;YANG Xin;HUANG Xiaoyan;XIA Yunfei;Sun Yat-sen University Cancer Center,State Key Laboratory of Oncology in South China,Collaborative Innovation Center for Cancer Medicine,Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy;Xinhua College of Sun Yat-sen University;
  • 关键词:头颈肿瘤 ; 调强放射治疗 ; 结构命名 ; 标准化
  • 英文关键词:head and neck tumors;;intensity-modulated radiotherapy;;structure nomenclatures;;standardization
  • 中文刊名:YXWZ
  • 英文刊名:Chinese Journal of Medical Physics
  • 机构:中山大学肿瘤防治中心/华南肿瘤学国家重点实验室/肿瘤医学协同创新中心/广东省鼻咽癌诊治研究重点实验室;中山大学新华学院;
  • 出版日期:2019-02-25
  • 出版单位:中国医学物理学杂志
  • 年:2019
  • 期:v.36;No.187
  • 基金:广东省自然科学基金(2017A030310217);; 大学生创新创业训练计划项目(201813902075,201813902071,201713902050);; 医学信息分析及肿瘤诊疗湖北省重点实验室开放课题(PJS140011504);; 广州市珠江科技新星专项资助(201710010162)
  • 语种:中文;
  • 页:YXWZ201902005
  • 页数:6
  • CN:02
  • ISSN:44-1351/R
  • 分类号:28-33
摘要
目的:实现头颈肿瘤放射治疗结构命名的标准化。方法:收集139例患者的调强放射治疗计划,采用MATLAB软件对结构文件进行编程解析,以靶区、危及器官和其他辅助结构3类为关键词,进行结构的归类统计。按照AAPM TG-263提供的标准化的放射肿瘤结构命名报告,制定结构标准化规则,编程实现结构命名标准化的自动转换。结果:139例患者的DICOM Structure文件中,共有7 044个结构,其中靶区2 217个(大体肿瘤靶区510个、临床靶区431个、计划靶区1 276个)、危及器官4 069个、辅助结构758个,平均每位患者有(50.68±15.43)个结构。通过自编程软件找出差异并成功标准化转换,并生成新的结构文件。结论:标准化命名可以避免由命名的不一致或不适当而导致的混淆,防范剂量统计分析时的错误,进而提高医疗质量与安全。
        Objective To standardize naming conventions in intensity-modulated radiotherapy(IMRT) of head and neck tumors.Methods The radiotherapy plans of 139 patients with head and neck tumors were randomly selected in the study, and the structure files were parsed and analyzed by self-programmed MATLAB software. All the structures were classified by the keywords which included target areas, organs-at-risk, derivative and planning structure. According to the protocol on the standardization of nomenclature for radiotherapy in AAPM TG 263(The American Association of Physicists in Medicine Task Group 263), the standardization rules for structure naming were established, and the automatic naming convention was implemented by the selfprogrammed software. Results In the DICOM Structure files of 139 patients, there were 7 044 structures in total, including 2 217 target structures(510 GTV, 431 CTV and 1 276 PTV), 4 069 organs-at-risk and 758 derivative and planning structures. The average number of structures for each patient was 50.68±15.43. The differences of structure nomenclatures were detected and successfully standardized through the self-programmed software. Conclusion The standardization of structure nomenclatures in radiotherapy of head and neck tumors prevents the confusion from inconsistency and inadequacy of nomenclatures, and avoids the errors in dosimetric calculations, thereby improving the quality and safety of radiotherapy.
引文
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