| Wang Qingying,Liu Jiacheng,Wang Hanlin,Yao Kaining,You Jing,Li Xiaofan,Wang Ruoxi,Ma Chaoqiong,Wu Hao.A feasibility study of the application of structural similarity index to the assessment of radiotherapy plan quality[J].Chinese Journal of Radiological Medicine and Protection,2021,41(11):824-829 |
| A feasibility study of the application of structural similarity index to the assessment of radiotherapy plan quality |
| Received:April 01, 2021 |
| DOI：10.3760/cma.j.issn.0254-5098.2021.11.005 |
| KeyWords:Radiotherapy plan assessment Structural similarity Dose distribution |
| FundProject:国家重大研发计划（2019YFF01014405）；国家自然科学基金（12005007）；北京市医管局培育计划（PX2019042）；北京市自然科学基金（1202009） |
| Author Name | Affiliation | E-mail | | Wang Qingying | Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China | | | Liu Jiacheng | Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China | | | Wang Hanlin | Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Yao Kaining | Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | You Jing | Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Li Xiaofan | Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Wang Ruoxi | Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Ma Chaoqiong | Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department of Radiotherapy, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Wu Hao | Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China | hao.wu@bjcancer.org |
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| Abstract:: |
| Objective To assess the three-dimensional dose distribution in radiotherapy plans using the structural similarity index(SSIM), compare the performance of SSIM with commonly used quality assessment indices, and develop a SSIM-based quality assessment method of multiple prescribed doses. Methods The SSIM was introduced to providea quality score of various voxels by comparing actual and ideal three-dimensional dose data and combining the spatial location information of the voxels. Then the average value in a region of interest (ROI) was calculated as the quality score of the region. Fifty-three cases of cervical cancer were selected to analyze the correlation of the SSIM with the uniformity index (HI), conformity index (CI) of the dose distribution in various ROIs and to explore the capability of the SSIM to reflect the uniformity and conformity of dose distribution.Two types of quality defects were individually introduced into two of 53 radiotherapy plans. Then the two plans were compared with normal plans to characterize the response of the SSIM. Results There was no correlation between HI and SSIM in positive lymph nodes(PGTVnd) due to the decrease in the HI sensitivity, while there was a significant negative correlation between them in regions where PGTVnd was removed from the planning target volume(PTV, R=-0.86, P<0.01). Meanwhile, there was a significant positive correlation between CI and SSIM in PGTVnd (R=0.83, P<0.01). Therefore, the SSIM can be used to identify the artificial design defects in plans by determining abnormal dose gradients. Conclusions Apart from reducing the defects of previous assessment parameters, the SSIM has the capability to assess the quality of radiotherapy plans by combining the uniformity and conformity of dose distribution and can provide accurate feedback on the spatial locations of quality defects. |
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