Establishment of a Fast Quality Assurance Method for Three-dimensional Afterloading Treatment Plan
JI Tian-long
ZHAO Jing
SHEN Hao
LI Guang
1.Department of Radiotherapy, the First Affiliated Hospital of China Medical University, Shenyang 100001, China2.Department of Radiotherapy, the First Affiliated Hospital of China Medical University, Shenyang 100001, China3.Department of Radiotherapy, the First Affiliated Hospital of China Medical University, Shenyang 100001, China4.Department of Radiotherapy, the First Affiliated Hospital of China Medical University, Shenyang 100001, China
摘要：Objective: To study the correlation between tumor size, radiation source intensity, prescription dose, and source dwell time in afterloading treatment plan, and to establish a rapid quality control method for afterloading treatment plan. Methods: A total of 181 patients with gynecological tumor were enrolled in our hospital. A total of 84 patients were installed with three tubes of Fletcher' applicator, 58 patients with single uterine tube and 39 patients with vaginal applicator. Each patient was scanned with CT before treatment, and the target area and organs were delineated by doctors. The treatment plan was optimized by IPSA. The planned source intensity, prescription dose, source residence time and tumor volume of each case were recorded and the CI, RV, and k value were calculated, The CI distribution characteristics and the relationship with RV value were analyzed. In addition, 46 cases of gynecological tumor patients' afterloading plan used this method for quality control verification. Results: The CI of the three kinds of applicators was normal distribution. The average Ci of Fletcher applicator was 0.720 ± 0.067, k=1394, r=0.894, the average CI of Fletcher applicator was 0.697± 0.076, k=1428, r=0.940, the average CI of vaginal applicator was 0.742 ± 0.067, k=1362, r=0.909. Conclusion: Using this method, we could quickly evaluate the target volume, radiation source intensity, prescription dose and treatment time, to determine the cause of deviation according to the feedback results, ensuring that the afterloading treatment plan can be implemented efficiently quickly, and accurately in accordance with the clinical requirements.
机标关键词：
分类号：TP391.4(计算技术、计算机技术)
论文发表日期：2019-09-30
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 105-112 )
英文信息