刘志强,田源,门阔,戴建荣.基于4D-CT高通气功能肺组织避让的胸部肿瘤放疗计划可行性研究[J].中华放射医学与防护杂志,2024,44(2):105-110
基于4D-CT高通气功能肺组织避让的胸部肿瘤放疗计划可行性研究
Feasibility of treatment planning for 4D-CT high ventilation functional lung avoided radiotherapy in thoracic cancer
投稿时间:2023-02-17  
DOI:10.3760/cma.j.cn112271-20230217-00040
中文关键词:  4D-CT肺通气功能  肺功能避让  放疗计划  深度学习
英文关键词:4D-CT lung ventilation function  Lung function avoided  Radiotherapy treatment planning  Deep learning
基金项目:国家自然科学基金(11905295,81502649);中国医学科学院医学与健康科技创新工程项目(2022-I2MC&T-B-075);中国癌症基金会"北京希望马拉松"专项基金(LC2021B01)
作者单位E-mail
刘志强 国家癌症中心 国家肿瘤临床医学研究中心 中国医学科学院北京协和医学院肿瘤医院放疗科, 北京 100021  
田源 国家癌症中心 国家肿瘤临床医学研究中心 中国医学科学院北京协和医学院肿瘤医院放疗科, 北京 100021 tianyuan1981@hotmail.com 
门阔 国家癌症中心 国家肿瘤临床医学研究中心 中国医学科学院北京协和医学院肿瘤医院放疗科, 北京 100021  
戴建荣 国家癌症中心 国家肿瘤临床医学研究中心 中国医学科学院北京协和医学院肿瘤医院放疗科, 北京 100021  
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中文摘要:
      目的 建立基于4D-CT肺通气功能图像的胸部肿瘤高通气功能肺避让(HVFLA)的放疗计划设计流程,确定HVFLA的放疗计划策略,为胸部肿瘤患者开展HVFLA放疗临床试验提供支持。方法 基于前期已经建立的4D-CT肺通气功能图像深度学习模型,搭建计算平台将其融入放疗计划流程,进一步回顾性入组10例行4D-CT模拟定位的胸部肿瘤患者,根据建立的模型获取每位患者的4D-CT肺通气功能图像,根据肺通气量相对值高低自动将肺通气功能区域三等分为高、中和低通气功能肺,并导入Pinnacle3治疗计划系统。对于每位患者,根据靶区处方剂量和危及器官的剂量限值要求,采用容积旋转调强技术,分别设计临床计划和HVFLA计划,要求每个计划均满足临床要求,其中,HVFLA计划增加限制高功能肺的优化条件。通过比较靶区、危及器官(双肺、心脏和脊髓)和高功能肺的剂量学参数评价计划,剂量学参数包括靶区的D2D98和平均剂量,双肺和高功能肺的V5V10V20V30和平均剂量,心脏的V30V40和平均剂量,脊髓的D1 cm3等。采用配对t检验的方法对两组计划统计分析。结果 临床计划和HVFLA计划的靶区和危及器官均满足临床要求,HVFLA计划高功能肺的平均剂量、V5V10V20V30平均分别减少1.2 Gy、5.9%、4.2%、2.6%和2.3%,均具有统计学意义(t=-8.07、4.02、-6.02、-7.06、-6.77,P<0.05)。双肺、心脏和脊髓的剂量学参数差异均无统计学意义(P>0.05)。结论 建立了基于4D-CT肺通气功能图像的高功能肺避让的放疗计划设计流程,HVFLA计划可以显著降低高功能肺的受照剂量,双肺、心脏和脊髓受照剂量无显著变化。HVFLA放疗计划策略可行,可以为胸部肿瘤患者开展HVFLA放疗提供支持。
英文摘要:
      Objective To establish a radiotherapy treatment planning process of high ventilation functional lung avoided (HVFLA) for thoracic tumors based on 4D-CT lung ventilation functional images and determine the treatment planning strategy of HVFLA radiotherapy, and so as to provide support for the clinical trials of HVFLA radiotherapy in thoracic cancer patients. Methods A deep learning-based 4D-CT lung ventilation functional imaging model was established and integrated into the radiotherapy treatment planning process. Furthermore, ten thoracic cancer patients with 4D-CT simulation positioning were retrospectively enrolled in this study. The established model was used to obtain the 4D-CT lung ventilation functional imaging for each patient. According to the relative value of lung ventilation, the lung ventilation areas are equally segmented into high, medium and low lung ventilation and then imported them into Pinnacle3 treatment planning system. According to the prescription dose of target and dose constraints of organ at risks (OARs), the clinical and HVFLA treatment plans were designed for each patient using volumetric modulated radiotherapy technique, and each plan should meet the clinical requirements and adding dose constraints of high ventilation functional lung for HVFLA plan. The dosimetric indexes of the target, OARs (lungs, heart and cord) and high functional lung (HFL) were used to evaluated the plan quality. The dosimetric indexes included D2, D98 and mean dose of target, V5, V10, V20, V30 and mean dose of lungs and HFL, V30, V40 and mean dose of heart, and D1 cm3 of cord. Paired samples t-test was used for statistical analysis of the two groups of plans. Results The target and OARs of the clinical plan and HVFLA plan meet the clinical requirements. The HVFLA plan resulted in a statistically significant reduction in the mean dose, V5, V10, V20, and V30 of the high functional lung by 1.2 Gy, 5.9%, 4.2%, 2.6%, and 2.3%, respectively (t=-8.07, 4.02, -6.02, -7.06, -6.77,P<0.05). There was no statistical difference in the dosimetric indexes of lungs, heart and cord. Conclusions We established the treatment planning process of HVFLA radiotherapy based on 4D-CT lung ventilation functional images. The HVFLA plan can effectively reduce the dose of HFL, while the doses of lungs, heart and cord had no significant difference compared with the clinical plan. The strategy of HVFLA radiotherapy planning is feasible to provide support for the implementation of HVFLA radiotherapy in thoracic cancer patients.
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