Multiple-CT optimization: An adaptive optimization method to account for anatomical changes in intensity-modulated proton therapy for head and neck cancers
机构：[1]Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China华中科技大学同济医学院附属协和医院[2]Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA[3]Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, China四川省肿瘤医院[4]Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA[5]Global Oncology One, Houston, USA[6]Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China[7]Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Baltimore, USA
Purpose: We aimed to determine whether multiple-CT (MCT) optimization of intensity-modulated proton therapy (IMPT) could improve plan robustness to anatomical changes and therefore reduce the additional need for adaptive planning. Methods and materials: Ten patients with head and neck cancer who underwent IMPT were included in this retrospective study. Each patient had primary planning CT (PCT), a first adaptive planning CT (ACT1), and a second adaptive planning CT (ACT2). Selective robust IMPT plans were generated using each CT data set (PCT, ACT1, and ACT2). Moreover, a MCT optimized plan was generated using the PCT and ACT1 data sets together. Dose distributions optimized using each of the four plans (PCT, ACT1, ACT2, and MCT plans) were re-calculated on ACT2 data. The doses to the target and to organs at risk were compared between optimization strategies. Results: MCT plans for all patients met all target dose and organs-at-risk criteria for all three CT data sets. Target dose and organs-at-risk dose for PCT and ACT1 plans re-calculated on ACT2 data set were compromised, indicating the need for adaptive planning on ACT2 if PCT or ACT1 plans were used. The D-98% of CTV1 and CTV3 of MCT plan re-calculated on ACT2 were both above the coverage criteria. The CTV2 coverage of the MCT plan re-calculated on ACT2 was worse than ACT2 plan. The MCT plan re-calculated on ACT2 data set had lower chiasm, esophagus, and larynx doses than did PCT, ACT1, or ACT2 plans recalculated on ACT2 data set. Conclusions: MCT optimization can improve plan robustness toward anatomical change and may reduce the number of plan adaptation for head and neck cancers. (C) 2019 Elsevier B.V. All rights reserved.
基金：
National Institutes of Health through Cancer Center Support GrantUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [P30CA016672]
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2020]版：
大类|2 区医学
小类|2 区肿瘤学2 区核医学
最新[2023]版：
大类|1 区医学
小类|2 区肿瘤学2 区核医学
JCR分区：
出版当年[2020]版：
Q1ONCOLOGYQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版：
Q1ONCOLOGYQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者机构：[1]Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China[2]Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA
通讯作者：
通讯机构：[2]Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, USA[7]Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Baltimore, USA[*1]Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Baltimore, MD 21287, USA
推荐引用方式(GB/T 7714)：
Yang Zhiyong,Zhang Xiaodong,Wang Xianliang,et al.Multiple-CT optimization: An adaptive optimization method to account for anatomical changes in intensity-modulated proton therapy for head and neck cancers[J].RADIOTHERAPY AND ONCOLOGY.2020,142:124-132.doi:10.1016/j.radonc.2019.09.010.
APA：
Yang, Zhiyong,Zhang, Xiaodong,Wang, Xianliang,Zhu, Ronald,Gunn, Brandon...&Li, Heng.(2020).Multiple-CT optimization: An adaptive optimization method to account for anatomical changes in intensity-modulated proton therapy for head and neck cancers.RADIOTHERAPY AND ONCOLOGY,142,
MLA：
Yang, Zhiyong,et al."Multiple-CT optimization: An adaptive optimization method to account for anatomical changes in intensity-modulated proton therapy for head and neck cancers".RADIOTHERAPY AND ONCOLOGY 142.(2020):124-132
医学