| Zhang Yutao,Ni Xinye.Current status of research on motion trajectory prediction of lung tumor during radiotherapy[J].Chinese Journal of Radiological Medicine and Protection,2024,44(11):979-984 |
| Current status of research on motion trajectory prediction of lung tumor during radiotherapy |
| Received:February 17, 2024 |
| DOI：10.3760/cma.j.cn112271-20240217-00057 |
| KeyWords:Respiratory motion Lung tumor Prediction Motion trajectory of tumors Precision radiotherapy |
| FundProject: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) |
| Author Name | Affiliation | E-mail | | Zhang Yutao | Department of Radiotherapy, Affiliated Changzhou Second People's Hospital, Nanjing Medical University, Jiangsu Province Engineering Research Center of Medical Physics, Medical Physics Research Center, Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | | | Ni Xinye | Department of Radiotherapy, Affiliated Changzhou Second People's Hospital, Nanjing Medical University, Jiangsu Province Engineering Research Center of Medical Physics, Medical Physics Research Center, Nanjing Medical University, Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China | nxy@njmu.edu.cn |
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| 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. |
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