摘要目的:开发一种三维可视化技术辅助放疗患者摆位，并对比分析其在乳腺和盆腔放疗中与传统摆位方法的差异。方法:选取2020年6月至2021年4月常州第二人民医院40例放疗患者作为研究对象，其中乳腺、盆腔患者各20例。利用患者定位CT数据进行三维可视化重建，并将三维可视化模型与真实治疗环境融合，通过交互操作使得三维可视化模型位于加速器等中心点，并以此为依据进行实际患者的摆位。每例患者每周先进行传统摆位、再进行三维可视化引导放疗摆位，分3周采集，所有患者共240次摆位数据，以锥形束CT(CBCT)引导的摆位作为金标准进行比较。结果:乳腺患者和盆腔患者三维可视化引导摆位 x、 y、 z轴摆位误差绝对值后分别为(1.92±1.23)、(2.04±1.16)、(1.77±1.37)mm和(2.07±1.08)、(1.33±0.88)、(1.99±1.25)mm，各轴精度较传统摆位分别提高了38.83%、52.40%、33%和36.84%、54.04%、52.58%， y、 z轴上的差异具有统计学意义( t＝2.956 ～5.734， P<0.05)。同时，对于乳腺患者，两种摆位方法 y方向误差分布具有统计学意义( χ2＝7.481， P<0.05)，对于盆腔患者，两种摆位方法在各轴的误差分布差异均有统计学意义( χ2＝5.900、6.415、7.200， P<0.05)。 结论:三维可视化技术引导放疗摆位方法有效提高了乳腺和盆腔患者的摆位精度，具有潜在的临床应用价值。

abstractsObjective: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.