| Huang Peng,Fu Guishan,Miao Junjie,Hu Zhihui,Dai Jianrong.Design and implementation of data archiving system for radiotherapy treatment plans[J].Chinese Journal of Radiological Medicine and Protection,2020,40(6):461-465 |
| Design and implementation of data archiving system for radiotherapy treatment plans |
| Received:October 27, 2019 |
| DOI：10.3760/cma.j.issn.0254-5098.2020.06.008 |
| KeyWords:Radiotherapy treatment plan Plan archiving Automatic archiving check Data security |
| FundProject:国家重大研发计划（2016YFC0904600） |
| Author Name | Affiliation | E-mail | | Huang Peng | National Cancer Center, National Clinical Research Centerfor Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China | | | Fu Guishan | National Cancer Center, National Clinical Research Centerfor Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China | | | Miao Junjie | National Cancer Center, National Clinical Research Centerfor Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China | | | Hu Zhihui | National Cancer Center, National Clinical Research Centerfor Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China | | | Dai Jianrong | National Cancer Center, National Clinical Research Centerfor Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China | dai_jianrong@cicams.ac.cn |
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| Abstract:: |
| Objective To design and implement a plan data archiving system (PDAS) for radiotherapy treatment, in order to improve the efficiency of plan archiving and avoid plan data loss. Methods The original plan file in the treatment planning system (TPS) was read and parsed, and the record and verification (R&V) system database was accessed to obtain the patient's treatment record. PDAS processed all parameters involved in the plan archiving and saved the structured data into a local database. PDAS included two major modules, the plan archiving module and the plan loss detection module. The former could be divided into four parts, data sorting, data compression, archiving check and plan recovery. For different modules, we designed corresponding logic rules and wrote programs to realize the system. Compared with the plan data of manual archiving, the clinical application effect of PDAS was evaluated. Results Each module of PDAS was developed and implemented. During 31 months of clinical application,the system was stable, and 17 614 plans were archived. Compared with manual archiving, PDAS improved the archiving efficiency significantly and reduced the plan loss rate from 0.004 or so to 0. Conclusions PDAS can improve the efficiency of plan archiving and ensure the security and integrity of plan data. |
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