From the Department of Radiation Oncology, Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032 (E.L., M.D.G., Y.F.W., C.C., C.E., M.S., M.P., L.A.K., D.P.H.); and Herbert Irving Comprehensive Cancer Center, New York, NY (C.C., L.A.K., D.P.H.).
Radiol Imaging Cancer. 2023 Jul;5(4):e230011. doi: 10.1148/rycan.230011.
Adaptive radiation therapy is a feedback process by which imaging information acquired over the course of treatment, such as changes in patient anatomy, can be used to reoptimize the treatment plan, with the end goal of improving target coverage and reducing treatment toxicity. This review describes different types of adaptive radiation therapy and their clinical implementation with a focus on CT-guided online adaptive radiation therapy. Depending on local anatomic changes and clinical context, different anatomic sites and/or disease stages and presentations benefit from different adaptation strategies. Online adaptive radiation therapy, where images acquired in-room before each fraction are used to adjust the treatment plan while the patient remains on the treatment table, has emerged to address unpredictable anatomic changes between treatment fractions. Online treatment adaptation places unique pressures on the radiation therapy workflow, requiring high-quality daily imaging and rapid recontouring, replanning, plan review, and quality assurance. Generating a new plan with every fraction is resource intensive and time sensitive, emphasizing the need for workflow efficiency and clinical resource allocation. Cone-beam CT is widely used for image-guided radiation therapy, so implementing cone-beam CT-guided online adaptive radiation therapy can be easily integrated into the radiation therapy workflow and potentially allow for rapid imaging and replanning. The major challenge of this approach is the reduced image quality due to poor resolution, scatter, and artifacts. Adaptive Radiation Therapy, Cone-Beam CT, Organs at Risk, Oncology © RSNA, 2023.
自适应放疗是一个反馈过程,通过该过程可以利用治疗过程中获取的成像信息(例如患者解剖结构的变化)来重新优化治疗计划,最终目标是提高靶区覆盖率并降低治疗毒性。本文介绍了不同类型的自适应放疗及其临床应用,重点介绍 CT 引导下在线自适应放疗。根据局部解剖变化和临床情况,不同的解剖部位和/或疾病阶段和表现受益于不同的适应策略。在线自适应放疗是指在每个分次治疗前在治疗室内采集的图像用于调整治疗计划,而患者仍留在治疗台上。在线自适应放疗可解决治疗分次之间不可预测的解剖变化问题。在线治疗适应对放射治疗工作流程提出了独特的压力,需要高质量的日常成像和快速的重新勾画、重新计划、计划审查和质量保证。每分次生成一个新计划需要大量资源并且时间紧迫,这强调了工作流程效率和临床资源分配的必要性。锥形束 CT 广泛用于图像引导放疗,因此实施锥形束 CT 引导下的在线自适应放疗可以很容易地集成到放射治疗工作流程中,并可能允许快速成像和重新计划。这种方法的主要挑战是由于分辨率低、散射和伪影导致的图像质量下降。 自适应放疗、锥形束 CT、危及器官、肿瘤学 © RSNA,2023 年。