School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
J Med Imaging Radiat Sci. 2020 Jun;51(2):207-213. doi: 10.1016/j.jmir.2020.02.005. Epub 2020 Mar 25.
The use of simulation to enhance the quality of preclinical teaching and learning in radiation therapy is increasing. This article discusses the use of the Virtual Environment for Radiotherapy Training (VERT) in supporting teaching on image-guided radiation therapy (IGRT) and image matching concepts. The authors review the capabilities of VERT and discuss how it is currently applied in undergraduate radiation therapy teaching. The integration of IGRT theory with hands-on image matching practice using VERT simulation in educational environments has many potential benefits. These include the potential to strengthen the students' knowledge and skills in online-image acquisition and review of planar two-dimensional images and cone beam computed tomography images. It is anticipated that learner engagement will improve as well as refine analytical skills and confident practice in critical assessment of IGRT images. The authors encourage the utilization of technology that provides students with hands-on skills so they are better prepared for clinical environments.
使用模拟来提高放射治疗临床前教学质量的做法正在增加。本文讨论了使用虚拟放射治疗培训环境（VERT）来支持图像引导放射治疗（IGRT）和图像匹配概念的教学。作者回顾了 VERT 的功能，并讨论了它目前在本科放射治疗教学中的应用。在教育环境中，将 IGRT 理论与使用 VERT 模拟进行的实际图像匹配练习相结合，具有许多潜在的好处。其中包括增强学生在在线图像采集和二维图像及锥形束计算机断层摄影图像的平面图像审阅方面的知识和技能的潜力。预计学习者的参与度将会提高，同时也会提高分析技能，并增强对 IGRT 图像进行批判性评估的信心。作者鼓励使用为学生提供实践技能的技术，使他们为临床环境做好更好的准备。
