金晓丽,王雪娜,郭睿,等.螺旋断层治疗系统计划复杂度评分与剂量验证通过率的相关性研究[J].中华放射医学与防护杂志,2024,44(12):1020-1026.Jin Xiaoli,Wang Xuena,Guo Rui,et al.Correlation between plan complexity scores and dose verification pass rates in helical tomotherapy system[J].Chin J Radiol Med Prot,2024,44(12):1020-1026
螺旋断层治疗系统计划复杂度评分与剂量验证通过率的相关性研究
Correlation between plan complexity scores and dose verification pass rates in helical tomotherapy system
投稿时间:2023-12-05  
DOI:10.3760/cma.j.cn112271-20231205-00197
中文关键词:  螺旋断层治疗系统  计划复杂性  主成分分析  计划复杂度评分
英文关键词:Helical tomotherapy  Plan complexity  Pricipal component analysis  Plan complexity score
基金项目:山西省科学技术厅青年科学研究项目(202203021212108)
作者单位
金晓丽 山西白求恩医院 山西医学科学院 同济山西医院 山西医科大学第三医院, 太原 030032 
王雪娜 山西白求恩医院 山西医学科学院 同济山西医院 山西医科大学第三医院, 太原 030032 
郭睿 山西白求恩医院 山西医学科学院 同济山西医院 山西医科大学第三医院, 太原 030032 
侯旭 山西白求恩医院 山西医学科学院 同济山西医院 山西医科大学第三医院, 太原 030032 
兰越 山西白求恩医院 山西医学科学院 同济山西医院 山西医科大学第三医院, 太原 030032 
赵晓杰 山西白求恩医院 山西医学科学院 同济山西医院 山西医科大学第三医院, 太原 030032 
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中文摘要:
      目的 计算标准化计划复杂度评分(nPCS),评估其与剂量验证通过率的相关性,并利用nPCS比较不同部位治疗计划的复杂性。方法 回顾性分析2020年1月至2022年11月接受螺旋断层放射治疗的288例患者,提取治疗计划的13个复杂性参数。采用主成分分析法提取主成分,并筛选与3%/2 mm(全局)标准γ通过率显著相关的主成分,进而计算nPCS。通过多重线性回归评估nPCS与不同标准γ通过率的相关性,并比较不同部位治疗计划的复杂性。结果 4个主成分PC1、PC2、PC3、PC4分别解释总方差的33.5%、24.4%、11.4%、9.2%,累计解释总方差的78.48%。主成分PC1、PC2和PC3与3%/2 mm(全局)标准的γ通过率线性相关(β=0.34, 0.31, 0.62,P<0.05);nPCS与3%/2 mm(全局)、1%/1 mm(全局)标准的γ通过率线性相关(β=5.36,32.51,P<0.001)。头颈部和腹盆部计划的nPCS分布相似,差异无统计学意义(P>0.05)。结论 基于主成分分析的nPCS能有效评估治疗计划的可执行性,并比较不同治疗计划的复杂性。
英文摘要:
      Objective To calculate the normalized plan complexity scores (nPCSs), assess their correlations with dose verification pass rates, and utilize nPCSs to compare the complexity of treatment plans for various anatomical parts. Methods A retrospective analysis was conducted for 288 patients who underwent helical tomotherapy from January 2020 to November 2022, with 13 complexity parameters being extracted from the treatment plans. Principal components were extracted using principal component analysis (PCA), and those significantly correlated with the gamma pass rate based on the 3%/2 mm (global) criterion were selected to calculate the nPCSs. The correlations between nPCSs and gamma pass rates based on different criteria were assessed using multiple linear regression, and the complexity of treatment plans for different anatomical parts was compared. Results The four principal components, PC1, PC2, PC3, PC4, accounted for 33.5%, 24.4%, 11.4%, and 9.2% of the total variance, respectively, and 78.48% in total. PC1, PC2, and PC3 were linearly correlated with the gamma pass rate based on the 3%/2 mm (global) criterion (β= 0.34, 0.31, 0.62; P < 0.05). The nPCSs were linearly correlated with the gamma pass rates based on both the 3%/2 mm (global) and 1%/1 mm (global) criteria (β= 5.36, 32.51, P < 0.001). The head and neck plans and abdominal-pelvic plans exhibited similar nPCS distributions, with no statistically significant difference (P > 0.05). Conclusions The nPCSs based on PCA can effectively evaluate the feasibility of treatment plans and compare the complexity of different treatment plans.
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