Successive multi-fractionated autoplanning for nasopharyngeal carcinoma based on the first fractionated objective function(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2018年第12期
- Page:
- 1386-1391
- Research Field:
- 医学放射物理
- Publishing date:
Info
- Title:
- Successive multi-fractionated autoplanning for nasopharyngeal carcinoma based on the first fractionated objective function
- Author(s):
- CHENG Pinjing1; WENG Xing1; DAI Yitao2; BAI Penggang2; LI Qixin2; CHEN Jihong2; CAO Ye3
- 1. School of Nuclear Science and Technology, University of South China, Hengyang 421001, China; 2. Department of Radiation Oncology, Fujian Cancer Hospital, Fuzhou 350014, China; 3. Xiamen Humanity Hospital, Xiamen 361000, China
- Keywords:
- ; Keywords: nasopharyngeal carcinoma; intensity-modulated radiotherapy; autoplanning; objective function
- PACS:
- R739.62
- DOI:
- DOI:10.3969/j.issn.1005-202X.2018.12.004
- Abstract:
- Abstract: Objective To evaluate the feasibility and efficiency of multi-fractionated autoplanning on nasopharyngeal carcinoma (NPC) with Perl-based scripts in Pinnacle treatment planning system. Methods A total of 14 NPC patients were selected, and 4 sets of simulated CT images (CT1, CT2, CT3 and CT4) for each patient were derived during the treatment. Each radiotherapy plan on its first set of simulated CT images (CT1) was manually created according to the prescribed dose to target areas and dose constraints to organs-at-risk on Pinnacle treatment planning system (version 9.2m), while the setting of objective functions on the manual plan were read with Perl into scripts of Pinnacle planning system and applied for autoplanning on the 3 successive sets of CT images (CT2, CT3 and CT4) of the same patient. Manual plans based on CT2 were executed by 2 radiation physicists with experiences less than 1 year and more than 5 years, and the plans were grouped into Ma and Mb. The paired t test was used to evaluate the time for manual planning and autoplanning. In addition, the feasibility of manual planning and autoplanning were evaluated by an experienced radiation oncologist with experience over 10 years. Results For the automated plans based on CT2, CT3, CT4 and manual plans from Ma and Mb, the planning times were (3.358±0.490), (2.837±0.340), (2.754±0.270), (43.169±8.980), (39.088±13.210) min, respectively, and the percentage of the number of clinically available plans were 78.6%, 78.6%, 71.4%,78.6%,78.6%, respectively. The autoplanning significantly reduced planning time compared to manual planning (P<0.05). Conclusions The automated plans based on successive sets of CT images for NPC can be achieved using the auto-programming based on the first set of CT images with Perl-based scripts. The application of autoplanning not only saves planners plenty of time but also guarantees the quality of planning, providing an easier and quicker approach for multi-fractionated radiotherapy planning for NPC.
Last Update: 2018-12-24