Suppr超能文献

通过使用人工基准计划,将腮腺不均匀性纳入头颈部治疗优化中。

Incorporating parotid gland inhomogeneity into head-and-neck treatment optimization through the use of artificial base plans.

机构信息

Department of Medical Physics, BC Cancer Agency, Vancouver, BC, Canada.

Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.

出版信息

J Appl Clin Med Phys. 2021 Mar;22(3):141-149. doi: 10.1002/acm2.13192. Epub 2021 Feb 9.

Abstract

Despite a great improvement in target volume dose conformality made possible in recent years by modulated therapies, xerostomia remains a common and severe side effect for head-and-neck radiotherapy patients. It is known that parotid glands exhibit a spatially varying dose response; however, the relative importance of subregions throughout the entire gland has yet to be incorporated into treatment plan optimization, with the current standard being to minimize the mean dose to whole parotid glands. The relative importance of regions within contralateral parotid glands has been recently quantified, creating an opportunity for the development of a method for including this data in plan optimization. We present a universal and straightforward approach for imposing varying sub-parotid gland dose constraints during inverse treatment planning by using patient-specific artificial base plans to penalize dose deposited in sensitive regions. In this work, the proposed method of optimization is demonstrated to reduce dose to regions of high relative importance throughout contralateral parotids and improve predictions for stimulated saliva output at 1-year post-radiotherapy. This method may also be applied to impose varying dose constraints to other organs-at-risk for which regional importance data exists.

摘要

尽管近年来调强治疗技术使靶区剂量适形度有了很大的提高,但口干仍是头颈部放疗患者常见且严重的副作用。众所周知,腮腺的剂量反应存在空间变异性;然而,整个腺体的亚区的相对重要性尚未纳入治疗计划优化中,目前的标准是尽量减少整个腮腺的平均剂量。最近已经对对侧腮腺内各区域的相对重要性进行了量化,为在计划优化中纳入这些数据提供了机会。我们提出了一种通用且简单的方法,通过使用患者特异性的人工基础计划,在逆向治疗计划中对敏感区域的剂量进行惩罚,从而对亚腮腺剂量施加不同的约束。在这项工作中,所提出的优化方法被证明可以降低对侧腮腺中高相对重要性区域的剂量,并改善对放疗后 1 年唾液分泌刺激的预测。该方法也可应用于对存在区域重要性数据的其他危及器官施加不同的剂量约束。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8676/7984464/7d43b08d4540/ACM2-22-141-g002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验