| 覃仕瑞,王宏,郇福奎,等.磁共振引导加速器Unity出束时间的估算方法[J].中华放射医学与防护杂志,2026,46(6):587-591.Qin Shirui,Wang Hong,Huan Fukui,et al.Methods for estimating the beam-on time of the Unity MR-Linac[J].Chin J Radiol Med Prot,2026,46(6):587-591 |
| 磁共振引导加速器Unity出束时间的估算方法 |
| Methods for estimating the beam-on time of the Unity MR-Linac |
| 投稿时间：2025-09-25 |
| DOI：10.3760/cma.j.cn112271-20250925-00343 |
| 中文关键词: 磁共振引导加速器|出束时间|预估 |
| 英文关键词:Magnetic resonance-guided linear accelerator|Beam-on time|Estimation |
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| 中文摘要: |
| 目的 通过两种不同的方法研究自适应计划中各种因素对磁共振引导加速器Unity出束时间的影响,估算Unity临床流程中出束时间,为Unity的临床使用提供参考。方法 分别用Stepwise逐步回归法拟合和分部计算的方式建立预估公式。拟合部分,回顾性统计2023年7月至2024年9月在中国医学科学院肿瘤医院放疗科使用Unity治疗的174例患者共1 112分次治疗的出束时间(T)和对应分次的计划参数,包括射野数(B),总子野数(S),计划总跳数(MU),机架旋转范围(ΔGA)和分次剂量(FD)等,使用斯皮尔曼相关性分析各影响因素与T的相关性,并使用线性回归分析拟合出与T强相关的参数及T的数学公式。分部计算方法,即T为射线投照时间,机架旋转时间和子野形成时间三部分的加和。两种方法均用上述时间段的另外23例患者,共145次治疗的数据验证公式的准确度。结果 通过拟合,T公式为T=0.140MU+3.781S,R2=0.998,验证符合度偏差x±s为0.86%±4.00%。分部计算的时间计算公式为:T=0.143MU-0.073B2+1.067B+3.582S+11.153,验证符合度偏差为2.97%±4.56%。结论 对于Unity MR-Linac放射治疗,影响出束时间的主要因素为S和MU。在满足临床剂量要求的前提下,减少S和MU能显著减少出束时间,增加B以提高计划质量的同时并不会过多增加出束时间;两种方法所得公式在验证出束时间上无显著性差异。 |
| 英文摘要: |
| Objective To investigate the impacts of various factors in adaptive radiotherapy plans on the beam-on time of Unity—a magnetic resonance-guided linear accelerator (MR-Linac)—using [BFQ]two different method and to estimate the beam-on time in clinical radiotherapy. These efforts are aimed at providing a reference for clinical utilization of the Unity MR-Linac. Methods Formulas for estimating the beam-on time were developed using two method: fitting through stepwise regression and component-based calculation. To develop the fitted formula, a retrospective analysis was conducted on the clinical data from 174 patients treated using the Unity MR-Linac at the department of radiation oncology, Cancer Hospital, Chinese Academy of Medical Sciences, from July 2023 to September 2024. These clinical data comprised the beam-on time (T) of the total 1 112 fractions, as well as the radiotherapy plan parameters corresponding to various fractions, including the number of irradiation fields (B), the total number of irradiation subfields (S), the total number of monitor units (MUs) of plans, the gantry angle range (ΔGA), and the fractional dose (FD). The correlations between various influencing factors and T were analyzed using Spearman's rank correlation. Then, the mathematical formula of T and parameters strongly correlated with T were fitted through linear regression. For the component-based calculation method, T was the sum of three parts: radiation exposure time, gantry rotation time, and the formation time of subfields. The accuracy of both established formulas was validated using data from 145 radiotherapy fractions of another 23 patients treated during the aforementioned period. Results The fitted formula was T=0.140MU+3.781S, with a coefficient of determination (R2) of 0.998. The conformity deviation, expressed as (x±s), was determined at 0.86%±4.00%. In contrast, the formula derived through component-based calculation was T=0.143MU-0.073B2+1.067B+3.582S+11.153, with a onformity deviation of 2.97% ±4.56%. Conclusions Primary factors influencing the beam-on time of the Unity MR-Linac include S and MU in adaptive radiotherapy plans. In the case where clinical dose requirements are satisfied, reducing S and MU can significantly shorten the beam-on time. In contrast, increasing B can improve the quality of adaptive radiotherapy plans without excessively prolonging the beam-on time. The formulas derived using the two method exhibit minimal statistically significant differences when used to verify the beam-on time. |
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