Correlation between plan complexity scores and dose verification pass rates in helical tomotherapy system
10.3760/cma.j.cn112271-20231205-00197
- VernacularTitle: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
- Author:
Xiaoli JIN
1
;
Xuena WANG
1
;
Rui GUO
1
;
Xu HOU
1
;
Yue LAN
1
;
Xiaojie ZHAO
1
Author Information
1. 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
- Publication Type:Journal Article
- Keywords:
Helical tomotherapy;
Plan complexity;
Pricipal component analysis;
Plan complexity score
- From:
Chinese Journal of Radiological Medicine and Protection
2024;44(12):1020-1026
- CountryChina
- Language:Chinese
-
Abstract:
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.
