| 张宇涛,倪昕晔.放射治疗中肺部肿瘤运动轨迹预测研究现状[J].中华放射医学与防护杂志,2024,44(11):979-984.Zhang Yutao,Ni Xinye.Current status of research on motion trajectory prediction of lung tumor during radiotherapy[J].Chin J Radiol Med Prot,2024,44(11):979-984 |
| 放射治疗中肺部肿瘤运动轨迹预测研究现状 |
| Current status of research on motion trajectory prediction of lung tumor during radiotherapy |
| 投稿时间：2024-02-17 |
| DOI：10.3760/cma.j.cn112271-20240217-00057 |
| 中文关键词: 呼吸运动 肺部肿瘤 预测 肿瘤运动轨迹 精准放疗 |
| 英文关键词:Respiratory motion Lung tumor Prediction Motion trajectory of tumors Precision radiotherapy |
| 基金项目:国家自然科学基金面上项目(62371243);江苏省重点研发计划社会发展项目(BE2022720);江苏省自然基金面上项目(BK20231190);江苏省医学重点学科建设单位(JSDW202237);江苏省卫健委面上项目(M2020006);常州市社会发展项目(CE20235063) |
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| 中文摘要: |
| 在放射治疗过程中,由于患者的呼吸作用,肺部肿瘤会发生位移,导致放射线难以精准照射靶区。这不仅会对周围健康组织的生理结构造成损伤,还会降低治疗的效果。因此,精确预测肿瘤的运动轨迹并实时调整治疗束的位置显得尤为重要。目前,预测肺部肿瘤运动轨迹的方法主要分为两大类:基于标记物的预测和无需标记物的预测。本综述将讨论这两种预测方法的研究进展,分析其基本原理、应用场景、当前面临的挑战以及未来的发展趋势。期望能够为相关领域的研究人员和临床医生提供一个较为全面的视角,以推动肺部肿瘤放射治疗的改进和优化。 |
| 英文摘要: |
| 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. |
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