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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.

作者信息

Creemers Iris H P, Kusters Johannes M A M, van Kollenburg Peter G M, Bouwmans Liza C W, Schinagl Dominic A X, Bussink Johan

机构信息

Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, the Netherlands.

出版信息

Phys Imaging Radiat Oncol. 2019 Mar 18;9:92-96. doi: 10.1016/j.phro.2019.03.003. eCollection 2019 Jan.

DOI:10.1016/j.phro.2019.03.003
PMID:33458432
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7807870/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b2e/7807870/ab54b6ea4c6b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b2e/7807870/ab54b6ea4c6b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b2e/7807870/ab54b6ea4c6b/gr1.jpg

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Independent knowledge-based treatment planning QA to audit Pinnacle autoplanning.独立基于知识的治疗计划 QA 以审核 Pinnacle 自动计划。
Radiother Oncol. 2019 Apr;133:198-204. doi: 10.1016/j.radonc.2018.10.035. Epub 2018 Nov 15.
3
A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning.
肺立体定向体部放射治疗的自动治疗计划与器官剂量预测评估
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Algorithm for an automatic treatment planning system using a single-arc VMAT for prostate cancer.基于单弧容积旋转调强技术的前列腺癌自动治疗计划算法。
J Appl Clin Med Phys. 2021 Dec;22(12):27-36. doi: 10.1002/acm2.13442. Epub 2021 Oct 8.
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