Jaffray David A
MD Anderson Cancer Center, University of Texas, Houston, Texas, USA.
Med Phys. 2023 Jun;50 Suppl 1:54-57. doi: 10.1002/mp.16238. Epub 2023 Apr 17.
The development of cone-beam CT guided radiotherapy has transformed radiation oncology in the 20 years since it was first released commercially. The technological pace of change has spurred a massive transformation in our daily clinical practice, forced us to evolve our approach to multi- and inter-disciplinary collaboration, and enabled new treatment paradigms. Further progress in integrating quantitative CT in these robotic platforms promises to do even more by "burying the complexity" of radiotherapy and leveraging the expanding digital fabric that uses machine learning approaches to bring semi-automated expertise to bear on the issues of expertise and quality. This is the only way we will be able to respond to the massive global shortfall in high-quality radiotherapy services across the globe.
自锥形束CT引导放疗首次商业化发布以来的20年里，其发展改变了放射肿瘤学。技术变革的速度促使我们的日常临床实践发生了巨大转变，迫使我们改进多学科和跨学科协作的方法，并催生了新的治疗模式。在这些机器人平台中整合定量CT的进一步进展有望通过“消除放疗的复杂性”以及利用不断扩展的数字架构（该架构使用机器学习方法将半自动专业知识应用于专业技能和质量问题）来取得更大成效。这是我们能够应对全球高质量放疗服务巨大短缺问题的唯一途径。
