The Future of MR-Guided Radiation Therapy

IF 2.6 3区 医学 Q3 ONCOLOGY
Matthias Guckenberger , Nicolaus Andratschke , Caroline Chung , Dave Fuller , Stephanie Tanadini-Lang , David A. Jaffray
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引用次数: 0

Abstract

Magnetic resonance image guided radiation therapy (MRIgRT) is a relatively new technology that has already shown outcomes benefits but that has not yet reached its clinical potential. The improved soft-tissue contrast provided with MR, coupled with the immediacy of image acquisition with respect to the treatment, enables expansion of on-table adaptive protocols, currently at a cost of increased treatment complexity, use of human resources, and longer treatment slot times, which translate to decreased throughput. Many approaches are being investigated to meet these challenges, including the development of artificial intelligence (AI) algorithms to accelerate and automate much of the workflow and improved technology that parallelizes workflow tasks, as well as improvements in image acquisition speed and quality. This article summarizes limitations of current available integrated MRIgRT systems and gives an outlook about scientific developments to further expand the use of MRIgRT.

磁共振引导放射治疗的未来
磁共振图像引导放射治疗(MRIgRT)是一项相对较新的技术,已显示出治疗效果,但尚未发挥其临床潜力。磁共振成像提供了更好的软组织对比度,加上图像采集与治疗的即时性,使台上适应性方案得以扩展,但目前的代价是治疗复杂性增加、人力资源使用和治疗间隔时间延长,从而导致治疗量减少。目前正在研究许多方法来应对这些挑战,包括开发人工智能(AI)算法来加速和自动化大部分工作流程,改进并行化工作流程任务的技术,以及提高图像采集速度和质量。本文总结了目前可用的集成 MRIgRT 系统的局限性,并展望了进一步扩大 MRIgRT 应用的科学发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
0.00%
发文量
48
审稿时长
>12 weeks
期刊介绍: Each issue of Seminars in Radiation Oncology is compiled by a guest editor to address a specific topic in the specialty, presenting definitive information on areas of rapid change and development. A significant number of articles report new scientific information. Topics covered include tumor biology, diagnosis, medical and surgical management of the patient, and new technologies.
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