Li Junyu,Wu Hao,Yang Jingxian,Li Tingting,Yu Songmao,Lu Zihong,Wang Meijiao,Li Chenguang,Li Weibo,Zhang Yibao.Evaluation of cost-effective ratio (imaging quality vs. radiation dose) of Varian cone beam CT based on figure of merit (FOM)[J].Chinese Journal of Radiological Medicine and Protection,2020,40(8):595-599
Evaluation of cost-effective ratio (imaging quality vs. radiation dose) of Varian cone beam CT based on figure of merit (FOM)
Received:December 11, 2019  
DOI:10.3760/cma.j.issn.0254-5098.2020.08.004
KeyWords:Image guided radiotherapy  kV cone beam CT  Radiation dose  Image quality
FundProject:首都卫生发展科研专项(首发2018-4-1027);教育部科技发展中心产学研创新基金-"智融兴教"基金(2018A01019);国家自然科学基金(11505012,11905150,81672969);国家重点研发计划资助项目(2019YFF01014405);四川省科技计划资助项目(2018HH0099);北京市自然科学基金(7172048,1202009)
Author NameAffiliationE-mail
Li Junyu Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital&Institute, Beijing 100142, China  
Wu Hao Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital&Institute, Beijing 100142, China  
Yang Jingxian Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital&Institute, Beijing 100142, China  
Li Tingting The Fifth Medical Center of PLA General Hospital, Beijing 100039, China  
Yu Songmao Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital&Institute, Beijing 100142, China  
Lu Zihong Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital&Institute, Beijing 100142, China  
Wang Meijiao Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital&Institute, Beijing 100142, China  
Li Chenguang Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital&Institute, Beijing 100142, China  
Li Weibo Institute of Radiation Medicine, Helmholtz Zentrum Mü
nchen-German Research Center for Environmental Health(GmbH), Neuherberg 185764, Germany 
 
Zhang Yibao Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital&Institute, Beijing 100142, China ybzhang66@163.com 
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Abstract::
      Objective To analyze and compare the radiation dose and image quality of kilo-voltage cone beam CT systems on different Varian accelerator platforms, providing data to support clinical decisions on selecting optimal protocols for image-guided radiotherapy based on cost-effective ratio (image quality/radiation dose). Methods The radiation dose and image quality of various CBCT systems and scanning protocols on Varian Edge, Truebeam and ix (new and old) LINACs were obtained using a CT dose index (CTDI) phantom combined with a CT ionization chamber and a Catphan604 phantom, respectively. Figure of merit (FOM) was used to evaluate the cost-effective ratio of the image guidance schemes. Results Considerable inter-system varieties of FOMs were observed, varying from 0.65 (Image Gently-full trajectory) to 48.46 (Image Gently-half trajectory). The inter-protocol varieties were also large, where the mean±SD was 22.14±13.47. Conclusions Considering the explicit inter-system and inter-protocol varieties, it is clinically favorable to evaluate the image guidance schemes based on machine-specific measurement. For instance, parameters and equipment with low CTDIw can be beneficial for dose-sensitive patients. High CNR regimen favors patients with high image quality requirements. For ordinary patients, cost-effective ratio in terms of FOM can be very helpful to guide the decision-making of clinical image-guided radiotherapy.
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