Current status of research on motion trajectory prediction of lung tumor during radiotherapy

VernacularTitle:放射治疗中肺部肿瘤运动轨迹预测研究现状
Author: Yutao ZHANG ¹ ; Xinye NI
Author Information

1. 南京医科大学附属常州第二人民医院放疗科　江苏省医学物理工程研究中心　南京医科大学医学物理中心实验室　常州市医学物理重点实验室，常州　213003
Keywords: Respiratory motion; Lung tumor; Prediction; Motion trajectory of tumors; Precision radiotherapy
From: Chinese Journal of Radiological Medicine and Protection 2024;44(11):979-984
CountryChina
Language:Chinese
Abstract: During radiotherapy of lung tumors, patients′respiration will lead to tumor displacement, making it difficult to accurately expose target volumes to radiation. This will cause damage to the physiological structures of surrounding healthy tissues and reduce the efficacy. Therefore, it is critical to accurately predict the motion trajectories of lung tumors and adjust the positions of electron beams in a real-time manner. Currently, primary methods to predict the motion trajectories of lung tumors include marker-based and marker-free predictions. This review explores the advances in research on both prediction methods and analyzes their basic principles, application scenarios, current challenges, and future trends. It is expected to provide comparatively comprehensive insights for researchers and clinicians in related fields to facilitate the improvement and optimization of radiotherapy for lung tumors.