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首页> 外文期刊>Journal of medical imaging and radiation oncology >Retrospective analysis of breast radiotherapy treatment plans: Curating the 'non-curated'
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Retrospective analysis of breast radiotherapy treatment plans: Curating the 'non-curated'

机译：乳房放射治疗计划的回顾性分析：策划“非策划”

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Introduction: This paper provides a demonstration of how non-curated data can be retrospectively cleaned, so that existing repositories of radiotherapy treatment planning data can be used to complete bulk retrospective analyses of dosimetric trends and other plan characteristics.Methods: A non curated archive of 1137 radiotherapy treatment plans accumulated over a 12-month period, from five radiotherapy centres operated by one institution, was used to investigate and demonstrate a process of clinical data cleansing, by: identifying and translating inconsistent structure names; correcting inconsistent lung contouring; excluding plans for treatments other than breast tangents and plans without identifiable PTV, lung and heart structures; and identifying but not excluding plans that deviated from the local planning protocol. PTV, heart and lung dose-volume metrics were evaluated, in addition to a sample of personnel and linac load indicators. Results: Data cleansing reduced the number of treatment plans in the sample by 35.7%. Inconsistent structure names were successfully identified and translated (e.g. 35 different names for lung). Automatically separating whole lung structures into left and right lung structures allowed the effect of contralateral and ipsilateral lung dose to be evaluated, while introducing some small uncertainties, compared to manual contouring. PTV doses were indicative of prescription doses. Breast treatment work was unevenly distributed between oncologists and between metropolitan and regional centres. Conclusion: This paper exemplifies the data cleansing and data analysis steps that may be completed using existing treatment planning data, to provide individual radiation oncology departments with access to information on their own patient populations. Clearly, the well-planned and systematic recording of new, high quality data is the preferred solution, but the retrospective curation of non-curated data may be a useful interim solution, for radiation oncology departments where the systems for recording of new data have yet to be designed and agreed.
机译：介绍：本文提供了如何回顾性清除无策策的数据的演示，以便放射治疗计划数据的现有存储库可用于完成批量回顾性趋势和其他计划特征。方法：非策划存档1137放射治疗计划在一个12个月内累积，由一个机构运营的五个放射疗法中心，用于调查和展示临床数据清洁过程，通过：识别和翻译不一致的结构名称;纠正不一致的肺轮廓;除了没有可识别的PTV，肺和心脏结构的乳房切线和计划以外的治疗计划;并识别但不排除偏离当地规划协议的计划。除了人员和LINAC负荷指示器的样品外，还评估PTV，心脏和肺剂量度量。结果：数据清洁将样品中的治疗计划数减少35.7％。成功识别并翻译了不一致的结构名称（例如，肺部35个不同的名称）。与手动轮廓相比，自动将整个肺部结构分离成左右肺部结构，允许评估对侧和同侧肺剂量的影响，同时引入一些小的不确定性。 PTV剂量指示处方剂量。肿瘤治疗工作不均于肿瘤医学家和大都市和区域中心之间分布。结论：本文举例说明了可以使用现有治疗规划数据完成的数据清理和数据分析步骤，为单独的辐射肿瘤学部门提供有关自己患者人群的信息。显然，新的高质量数据的良好规划和系统的记录是首选解决方案，但非策划数据的回顾性策策可以是有用的临时解决方案，用于辐射肿瘤学部门，其中用于记录新数据的系统设计和达成一致。

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