Clinical application of multi-criteria optimization in radiotherapy for cervical cancer
10.13491/j.issn.1004-714X.2022.02.016
- VernacularTitle:多目标优化在宫颈癌放疗中的临床应用分析
- Author:
Dongdong WANG
1
;
Pei LIU
2
;
Kuo LI
2
;
Zhen LI
3
;
Jianguo ZHU
3
Author Information
1. Rushan People's Hospital, Rushan 264500 China;School of Preventive Medicine Sciences (Institute of Radiation Medicine), Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan 250062 China.
2. Department of Radiation Oncology Physics, Shandong Cancer Hospital and Insitute, Shandong First Medical University(Shandong Academy of Medical Sciences), Jinan 250117 China.
3. School of Preventive Medicine Sciences (Institute of Radiation Medicine), Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan 250062 China.
- Publication Type:OriginalArticles
- Keywords:
Multi-criteria optimization (MCO);
Cervical cancer;
Halcyon;
Efficiency
- From:
Chinese Journal of Radiological Health
2022;31(2):219-223
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the clinical application of multi-criteria optimization (MCO) in radiotherapy for cervical cancer. Methods A retrospective analysis was performed on the clinical data of 15 patients who received radiotherapy for cervical cancer in Shandong Cancer Hospital and Institute. A fixed field intensity-modulated radiotherapy plan was re-optimized using 9 fields on the Halcyon platform, with the goal of achieving a target coverage of > 95% and the lowest dose to organs at risk. The plan was refined until it reached the goal (Plan I) and was calculated using MCO to reach the goal (Plan MI), and the quality assurance verification was performed. The Wilcoxon rank-sum test was used to compare design time, target coverage, radiation dose to organs at risk, and number of monitor units between the plans. Results Both plans met the clinical requirements. There were no significant differences in target dose indices between Plan I and Plan MI (P > 0.05). Plan MI reduced the maximum dose to the small intestine by 0.51 Gy (P < 0.05). There was no significant difference in dose coverage between the bladder and the rectum (P > 0.05). Compared with Plan I, Plan MI saved 34.04 min in design time (P < 0.05). Conclusion MCO can improve the optimization and adjustment, significantly shorten the design time, and improve the efficiency of the plan.
