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评估整个放射治疗过程时长的准确方法。

Accurate method for evaluating the duration of the entire radiotherapy process.

作者信息

Guo Chenlei, Huang Peng, Li Yexiong, Dai Jianrong

机构信息

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

出版信息

J Appl Clin Med Phys. 2020 Sep;21(9):252-258. doi: 10.1002/acm2.12959. Epub 2020 Jul 25.

DOI:10.1002/acm2.12959
PMID:32710490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7497908/
Abstract

BACKGROUND AND PURPOSE

Along with the increasing demand for high-quality radiotherapy and the growing number of high-precision radiotherapy devices, precise radiotherapy workflow management and accurate time evaluation of the entire radiotherapy process are crucial to providing appropriate, timely treatment for cancer patients. This study therefore aimed to establish an accurate, reliable method for evaluating the duration of the radiotherapy process, from beginning to end, based on real-time measurement data. These data are vital for improving the quality and efficiency of radiotherapy delivery.

MATERIALS AND METHODS

Altogether, 17 620 cancer patients' radiotherapy experiences were measured in real time in our radiation oncology department. The process was divided into five sequential core modules, with the start and stop times of each module automatically recorded using MOSAIQ software, an automated radiotherapy management system. The duration for each module and the total duration of the entire process were then automatically calculated and qualitatively analyzed.

RESULTS

The analysis showed significant treatment-time differences depending on the tumor site, which provided a practical reference for improvement of previous treatment modules and appointments management. In all, >60% of the cancer patients' total treatment time could be shortened.

CONCLUSIONS

We established a reliable method for evaluating the overall duration of radiotherapy protocols. The results pointed out a clear pathway by which we could improve future radiotherapy workflow management and appointment systems.

摘要

背景与目的

随着对高质量放射治疗需求的增加以及高精度放射治疗设备数量的增多,精确的放射治疗工作流程管理和对整个放射治疗过程的准确时间评估对于为癌症患者提供恰当、及时的治疗至关重要。因此,本研究旨在基于实时测量数据建立一种从始至终评估放射治疗过程时长的准确、可靠方法。这些数据对于提高放射治疗的质量和效率至关重要。

材料与方法

我们放疗科对17620例癌症患者的放射治疗过程进行了实时测量。该过程被分为五个连续的核心模块,使用自动化放射治疗管理系统MOSAIQ软件自动记录每个模块的开始和结束时间。然后自动计算每个模块的时长以及整个过程的总时长,并进行定性分析。

结果

分析显示,根据肿瘤部位不同,治疗时间存在显著差异,这为改进先前的治疗模块和预约管理提供了实际参考。总体而言,超过60%的癌症患者的总治疗时间可以缩短。

结论

我们建立了一种可靠的方法来评估放射治疗方案的总体时长。研究结果指出了一条明确的途径,通过它我们可以改进未来的放射治疗工作流程管理和预约系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0e4/7497908/3554c72bfdfd/ACM2-21-252-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0e4/7497908/68287c74cf85/ACM2-21-252-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0e4/7497908/15c21da543a8/ACM2-21-252-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0e4/7497908/3554c72bfdfd/ACM2-21-252-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0e4/7497908/68287c74cf85/ACM2-21-252-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0e4/7497908/15c21da543a8/ACM2-21-252-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0e4/7497908/3554c72bfdfd/ACM2-21-252-g003.jpg

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本文引用的文献

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The Role of Radiotherapy in the Treatment of Small-Cell Lung Cancer.放射疗法在小细胞肺癌治疗中的作用
Curr Treat Options Oncol. 2015 Dec;16(12):56. doi: 10.1007/s11864-015-0372-2.
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Evaluation of the time required for overhead tasks performed by physicians, medical physicists, and technicians in radiation oncology institutions: the DEGRO-QUIRO study.放射肿瘤学机构中医师、医学物理师和技术人员进行头顶上方任务所需时间的评估:DEGRO-QUIRO研究
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Evaluation of time, attendance of medical staff and resources for radiotherapy in pediatric and adolescent patients. The DEGRO-QUIRO trial.
时间至关重要:当前放射治疗实践与效率策略综述
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Single patient learning for adaptive radiotherapy dose prediction.基于单病例学习的自适应放疗剂量预测。
Med Phys. 2023 Dec;50(12):7324-7337. doi: 10.1002/mp.16799. Epub 2023 Oct 20.
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A national survey on the medical physics workload of external beam radiotherapy in Japan†.日本外照射放射治疗医学物理学工作量的全国性调查†。
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Machine learning-based radiotherapy time prediction and treatment scheduling management.基于机器学习的放疗时间预测和治疗计划管理。
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Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study.使用时间裕度方案定制治疗计划窗口:一项单机构研究。
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Retrospective Analysis of Treatment Workflow in Frame-Based and Frameless Gamma Knife Radiosurgery.基于框架和无框架伽玛刀放射外科治疗工作流程的回顾性分析
Cureus. 2022 Aug 30;14(8):e28606. doi: 10.7759/cureus.28606. eCollection 2022 Aug.
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Protection of quality and innovation in radiation oncology: the prospective multicenter trial QUIRO of DEGRO: evaluation of time, attendance of medical staff, and resources during radiotherapy with tomotherapy.保护放射肿瘤学的质量和创新:德国肿瘤放射治疗学会前瞻性多中心试验 QUIRO:螺旋断层放疗中时间、医务人员出勤和资源的评估。
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