首页> 外文期刊>Medical dosimetry: official journal of the American Association of Medical Dosimetrists >Optimization of autogenerated chest-wall radiation treatment plans developed for postmastectomy breast cancer patients in underserved clinics
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Optimization of autogenerated chest-wall radiation treatment plans developed for postmastectomy breast cancer patients in underserved clinics

机译:在不服务于诊所的后切除乳腺癌患者开发的自霉菌胸壁辐射处理计划的优化

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Over the past decade, several strides have been made to improve the management of breast cancer in developing countries; however, there are still obstacles present. In the area of radiation therapy, these hurdles include limited access to radiotherapy treatment and scarcity of oncology specialists. In an effort to reduce inequities in cancer care while improving patient outcomes, our research is focused on developing automated postmastectomy radiation therapy (PMRT) plans for breast cancer patients in these underserved communities that can be further improved upon through treatment planning system (TPS) specific optimization guidelines. The automated planning tool utilized algorithms integrated with Varian's Eclipse TPS. The tool created PMRT plans that used monoisocentric tangents and supraclavicular (SCV) fields with a mix of high and low energy photon beams along with field-in-field (FIF) segments. The completed autogenerated PMRT plans were imported into Phillip's Pinnacle 9.10 and Varian's Eclipse 13.6 TPSs to be further improved through manual optimization; the time required to complete this step was measured and assessed. A senior dosimetrist, physicist, and physician evaluated the optimized plans for clinical acceptability. Guidelines were developed for the planning systems that can be implemented by personnel with either limited experience in radiation treatment planning or those with limited time to produce treatment plans. The autogenerated plans in conjunction with our guidelines have shown to significantly reduce the time required to produce a clinically acceptable PMRT plan from approximately 120 +/- 60 minutes to just 13 +/- 11 (Pinnacle) and 12 +/- 7 (Eclipse) minutes, reducing the total uninterrupted treatment planning time by an average of 108 +/- 51 minutes. The results from this research indicate that the autogenerated PMRT plans along with the optimization guidelines are a viable option to provide quality and clinically acceptable PMRT plans that are more efficient and consistent for postmastectomy breast cancer patients in severely underserved communities. (C) 2020 Published by Elsevier Inc. on behalf of American Association of Medical Dosimetrists.
机译:在过去十年中,已经进行了几步,以改善发展中国家乳腺癌的管理;但是,仍存在障碍。在放射治疗领域,这些障碍包括有限的放疗治疗和肿瘤学专家的稀缺性。为了减少癌症治疗的不平等,同时改善患者结果,我们的研究专注于在这些服务不足社区中开发自动化后切除疗法(PMRT)乳腺癌患者的计划,这可以通过治疗计划系统(TPS)特定于治疗系统(TPS)优化指南。自动规划工具利用与Varian Eclipse TPS集成的算法。该工具创建了使用具有高和低能量光子梁的单透射度切线和SUPRAVICULAL(SCV)场的PMRT计划,以及用于现场(FIF)段。完成的自动化的PMRT计划进口到Phillip的Pinnacle 9.10和Varian的Eclipse 13.6 TPS,通过手动优化进一步改善;测量并评估完成该步骤所需的时间。高级剂量司专家,物理学家和医生评估了临床可接受性的优化计划。为规划系统制定了指南,该计划系统可以由有限的辐射治疗规划经验或有限时间制作治疗计划的人员实施。与我们的准则一起进行自动化计划已显示,从大约120 +/-60分钟到仅为13 +/- 11(Pinnacle)和12 +/- 7(Eclipse),显着减少生产临床可接受的PMRT计划所需的时间分钟,将总不间断的治疗规划时间减少平均108 +/- 51分钟。该研究的结果表明,自动化的PMRT计划以及优化指南是提供质量和临床可接受的PMRT计划的可行选择,这些PMRT计划在严重的营养不良社区中的后切除乳腺癌患者更有效和一致。 (c)2020年由elsevier Inc.发布代表美国医学剂量分子协会。

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