Online adaptive planning methods for intensity-modulated radiotherapy

被引：11
|
作者：
Qiu, Zihang [1 ,2 ,3 ]
Olberg, Sven [2 ,3 ]
den Hertog, Dick [1 ]
Ajdari, Ali [2 ,3 ]
Bortfeld, Thomas [2 ,3 ]
Pursley, Jennifer [2 ,3 ]
机构：
[1] Univ Amsterdam, Dept Business Analyt, Amsterdam, Netherlands
[2] Massachusetts Gen Hosp, Dept Radiat Oncol, Boston, MA 02114 USA
[3] Harvard Med Sch, Boston, MA 02115 USA
来源：
PHYSICS IN MEDICINE AND BIOLOGY | 2023年 / 68卷 / 10期
关键词：
online adaptive treatment planning; online adaptive radiation therapy; IMRT; IMPT; DIRECT APERTURE DEFORMATION; IMAGE-GUIDED RADIOTHERAPY; BEAM COMPUTED-TOMOGRAPHY; 4D LOCALIZATION SYSTEM; REAL-TIME TRACKING; RADIATION-THERAPY; PROSTATE-CANCER; PROTON THERAPY; MULTILEAF-COLLIMATOR; ROBUST OPTIMIZATION;
D O I：
10.1088/1361-6560/accdb2
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页数：24
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