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Advanced treatment planning strategies to enhance quality and efficiency of radiotherapy.

作者信息

Cozzi Luca, Heijmen Ben J M, Muren Ludvig P

机构信息

Radiotherapy and Radiosurgery, Humanitas Clinical and Research Center, Rozzano (Milan), Italy.

Department of Biomedical Sciences, Humanitas University, Pieve Emanuele (Milan), Italy.

出版信息

Phys Imaging Radiat Oncol. 2019 Sep 13;11:69-70. doi: 10.1016/j.phro.2019.09.002. eCollection 2019 Jul.

DOI:10.1016/j.phro.2019.09.002
PMID:33458281
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7807646/
Abstract
摘要

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本文引用的文献

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Comparison of dose metrics between automated and manual radiotherapy planning for advanced stage non-small cell lung cancer with volumetric modulated arc therapy.容积调强弧形放疗用于晚期非小细胞肺癌时自动与手动放疗计划的剂量指标比较
Phys Imaging Radiat Oncol. 2019 Mar 18;9:92-96. doi: 10.1016/j.phro.2019.03.003. eCollection 2019 Jan.
2
Real-time interactive planning for radiotherapy of head and neck cancer with volumetric modulated arc therapy.头颈部癌容积调强弧形放疗的实时交互式计划
Phys Imaging Radiat Oncol. 2019 Apr 4;9:83-88. doi: 10.1016/j.phro.2019.03.002. eCollection 2019 Jan.
3
Development of a multicentre automated model to reduce planning variability in radiotherapy of prostate cancer.开发一种多中心自动化模型以减少前列腺癌放射治疗中的计划变异性。
Phys Imaging Radiat Oncol. 2019 Aug 8;11:34-40. doi: 10.1016/j.phro.2019.07.005. eCollection 2019 Jul.
4
Utilisation of Pareto navigation techniques to calibrate a fully automated radiotherapy treatment planning solution.利用帕累托导航技术校准全自动放射治疗计划解决方案。
Phys Imaging Radiat Oncol. 2019 May 16;10:41-48. doi: 10.1016/j.phro.2019.04.005. eCollection 2019 Apr.
5
Adapting automated treatment planning configurations across international centres for prostate radiotherapy.在国际前列腺放射治疗中心之间调整自动治疗计划配置。
Phys Imaging Radiat Oncol. 2019 Apr 24;10:7-13. doi: 10.1016/j.phro.2019.04.007. eCollection 2019 Apr.
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Incorporating dosimetric features into the prediction of 3D VMAT dose distributions using deep convolutional neural network.利用深度卷积神经网络将剂量学特征纳入 3DVMAT 剂量分布预测中。
Phys Med Biol. 2019 Jun 20;64(12):125017. doi: 10.1088/1361-6560/ab2146.
7
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Semin Radiat Oncol. 2019 Jul;29(3):209-218. doi: 10.1016/j.semradonc.2019.02.003.
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3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture.基于层次化密集连接 U-Net 深度学习架构对头颈部癌症患者的 3D 放疗剂量预测。
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Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique.基于深度学习技术预测的三维剂量分布的自动治疗计划。
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