| Li Chunying,Lu Zhengda,He Mu,et al.Development and clinical application of 3D visualization-guided patient positioning system for radiotherapy[J].Chinese Journal of Radiological Medicine and Protection,2021,41(7):492-498 |
| Development and clinical application of 3D visualization-guided patient positioning system for radiotherapy |
| Received:April 07, 2021 |
| DOI：10.3760/cma.j.issn.0254-5098.2021.07.003 |
| KeyWords:Radiotherapy 3D visualization Augmented reality Patient positioning |
| FundProject:江苏省卫健委面上项目（M2020006） |
| Author Name | Affiliation | E-mail | | Li Chunying | Department of Radiotherapy, Changzhou No. 2 People's Hospital (the Affiliated Hospital of Nanjing Medical University), Center for Medical Physics of Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | | | Lu Zhengda | School of Biomedical Engineering and Information, Nanjing Medical University, 210000, China | | | He Mu | Department of Radiotherapy, Changzhou No. 2 People's Hospital (the Affiliated Hospital of Nanjing Medical University), Center for Medical Physics of Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | | | Bi Hui | Department of Radiotherapy, Changzhou No. 2 People's Hospital (the Affiliated Hospital of Nanjing Medical University), Center for Medical Physics of Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | | | Sun Jiawei | Department of Radiotherapy, Changzhou No. 2 People's Hospital (the Affiliated Hospital of Nanjing Medical University), Center for Medical Physics of Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | | | Gao Liugang | Department of Radiotherapy, Changzhou No. 2 People's Hospital (the Affiliated Hospital of Nanjing Medical University), Center for Medical Physics of Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | | | Xie Kai | Department of Radiotherapy, Changzhou No. 2 People's Hospital (the Affiliated Hospital of Nanjing Medical University), Center for Medical Physics of Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | | | Lin Tao | Department of Radiotherapy, Changzhou No. 2 People's Hospital (the Affiliated Hospital of Nanjing Medical University), Center for Medical Physics of Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | | | Sui Jianfeng | Department of Radiotherapy, Changzhou No. 2 People's Hospital (the Affiliated Hospital of Nanjing Medical University), Center for Medical Physics of Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | | | Ni Xinye | Department of Radiotherapy, Changzhou No. 2 People's Hospital (the Affiliated Hospital of Nanjing Medical University), Center for Medical Physics of Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | nxy@njmu.edu.cn |
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| Abstract:: |
| Objective To develop a 3D visualization technology-assisted patient positioning system for radiotherapy and compare it with traditional patient positioning method for breast and pelvic radiotherapy. Methods A total of 40 patients receiving radiotherapy in Changzhou No.2 People's Hospital from June 2020 to April 2021 were selected for this study, including 20 patients with breast cancer and 20 patients with pelvic cancer.3D visualization reconstruction was carried out using the CT data of the patients for positioning. Then the 3D visualization models were integrated with the real treatment environment and were then shifted to the isocentral positions of accelerators through interactive operations. Based on this, the patients were actually positioned. Every week, all of the patients were firstly treated with traditional positioning, followed by 3D visualization-guided positioning. As a result, 240 times of positioning data of all patients were collected in three weeks. They were compared with the data of cone-beam CT(CBCT)-guided positioning, which served as the gold standard. Results The absolute positioning errors of 3D visualization-guided positioning along x, y and z axes were (1.92±1.23), (2.04±1.16), and (1.77±1.37)mm, respectively for patients with breast cancer and were (2.07±1.08), (1.33±0.88), and (1.99±1.25)mm, respectively for patients with pelvic cancer. Compared with traditional positioning method, the accuracy of 3D visualization-guided positioning along x、y, and z axes was increased by 38.83%, 52.40% and 33%, respectively for patients with breast cancer and was improved by 36.84%, 54.04% and 52.58% for patients with pelvic cancer, with all differences being statistically significant along y and z axes (t=2.956-5.734, P< 0.05). Meanwhile, the error distribution of the two positioning method was statistically significant along in y axis for patients with breast cancer(χ2=7.481, P<0.05) and was statistically significant along each axis for patients with pelvic cancer(χ2=5.900, 6.415, 7.200, P<0.05). Conclusions The positioning method guided by 3D visualization technology can effectively improve the positioning accuracy of patients with breast cancer and patients with pelvic cancer and is of value in potential clinical application. |
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