Development and clinical application of 3D visualization-guided patient positioning system for radiotherapy
10.3760/cma.j.issn.0254-5098.2021.07.003
- VernacularTitle:三维可视化引导放疗摆位系统的研发及临床应用
- Author:
Chunying LI
1
;
Zhengda LU
;
Mu HE
;
Hui BI
;
Jiawei SUN
;
Liugang GAO
;
Kai XIE
;
Tao LIN
;
Jianfeng SUI
;
Xinye NI
Author Information
1. 南京医科大学附属常州第二人民医院放疗科 南京医科大学医学物理中心实验室常州市医学物理重点实验室 213003
- Keywords:
Radiotherapy;
3D visualization;
Augmented reality;
Patient positioning
- From:
Chinese Journal of Radiological Medicine and Protection
2021;41(7):492-498
- CountryChina
- Language:Chinese
-
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.
