在线自适应放射治疗的目的是使患者的治疗计划适应他们当前的解剖结构,以在每日治疗前考虑部位间的变化。由于此过程需要在患者固定在治疗床上的同时完成,它需要时间高效的自适应计划方法来快速生成高质量的每日治疗计划。常规的规划方法往往涉及过多的人为干预,不能满足在线自适应放射治疗的时间要求,大大延长了规划阶段。本文回顾了当前商业在线自适应放射治疗系统采用的计划策略,在线自适应规划研究,以及人工智能在在线自适应规划中的潜在应用。
Online adaptive radiation therapy aims at adapting a patient\'s treatment plan to their current anatomy to account for inter-fraction variations before daily treatment delivery. As this process needs to be accomplished while the patient is immobilized on the treatment couch, it requires time-efficient adaptive planning methods to generate a quality daily treatment plan rapidly. The conventional planning methods do not meet the time requirement of online adaptive radiation therapy because they often involve excessive human intervention, significantly prolonging the planning phase. This article reviews the planning strategies employed by current commercial online adaptive radiation therapy systems, research on online adaptive planning, and artificial intelligence\'s potential application to online adaptive planning.