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Bio-Design and Manufacturing  2025 Vol.8 No.6 P.994-1008

http://doi.org/10.1631/bdm.2500077


In vivo 3D dose distribution verification for lung cancer: from rigid-body model to porcine lung


Author(s):  Yutao Zhang (???), Kai Xie (??), Lintao Song (???), Jiewei Lai (???), Haiping Zheng (???), Qianjia Huang (???), Hao Wang (??), Tao Lin (??), Liugang Gao (???), Jiawei Sun (???), Jianrong Dai (???) & Xinye Ni (???)

Affiliation(s):  1 Department of Radiotherapy, The Second Peoples Hospital of Changzhou, The Third Affiliated Hospital of Nanjing Medical University, Changzhou 213003, China 2 Jiangsu Province Engineering Research Center of Medical Physics, Changzhou 213003, China 3 Center for Medical Physics, Nanjing Medical University, Changzhou 213003, China 4 Changzhou Key Laboratory of Medical Physics, Changzhou 213003, China 5 School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China 6 Department of Research and Development, Guangzhou Raydose Medical Technology Co., Ltd., Guangzhou 510760, China 7 School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou 213159, China 8 Department of Radiation Oncology, Cancer Hospital Chinese Academy of Medical Sciences, Beijing 100020, China

Corresponding email(s):   nxy@njmu.edu.cn

Key Words:  Biological lung 3D printing Motion simulation device Radiotherapy Lung cancer Dose distribution verification


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Yutao Zhang (???), Kai Xie (??), Lintao Song (???), Jiewei Lai (???), Haiping Zheng (???), Qianjia Huang (???), Hao Wang (??), Tao Lin (??), Liugang Gao (???), Jiawei Sun (???), Jianrong Dai (???) & Xinye Ni (???) . In vivo 3D dose distribution verification for lung cancer: from rigid-body model to porcine lung[J]. Journal of Zhejiang University Science D, 2025, 8(6): 994-1008.

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%A Kai Xie (??)
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A1 - Haiping Zheng (???)
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Abstract: 
This study introduces a novel concept, biological in vivo three-dimensional (3D) dose distribution verification, aimed at inves tigating how respiratory motion affects the efficacy of lung cancer radiotherapy, representing an evolution from the current standard of rigid-body dose distribution verification. A 3D ex vivo biological lung motion simulation device (3D-BioLungEx) was designed to replicate human respiration. A radiotherapy plan of the patient was copied to the porcine lung, which was driven by 3D-BioLungEx to simulate various respiratory patterns that occur during treatment. To ensure anatomical consis tency with the patients lung structure, during transmission, skin, skeleton, and organs were adjusted according to CT images of the porcine lung. The patients radiotherapy plan was then adapted to the porcine lung using the Monaco treatment plan ning system (TPS). Next, an iterative optimization and scatter inversion-based dose distribution retro-analysis algorithm (IOSI-BLDose) was developed to calculate the dose distribution during treatment. Gamma passing rates were used to quantify discrepancies between this dose distribution and that of the radiotherapy plan. When respiratory conditions were replicated, the passing rate reached up to 93.61%, while irregular breathing dropped it to 70%90%, primarily due to amplitude changes. However, cycle variations had minimal impact. Compared to conventional rigid-body dose distribution verification, our method provides real-time biological feedback and more effectively captures motion-induced deviations. Accordingly, our biological in vivo 3D dose distribution verification has potential for improving treatment precision and enabling adaptive ra diotherapy in clinical practice.

肺癌体内三维剂量分布验证:从刚体模型到猪肺模型

作者:张宇涛1,2,3,4,谢凯1,2,3,4,宋林涛1,2,3,4,赖杰伟5,郑海平6,黄仟甲7,王浩7,林涛1,2,3,4,高留刚1,2,3,4,孙佳伟1,2,3,4,戴建荣8,倪昕晔1,2,3,4 机构:1南京医科大学第三附属医院(常州市第二人民医院)放疗科,中国常州市,213003;2江苏省医学物理工程研究中心,中国常州市,213003;3南京医科大学医学物理中心实验室,中国常州市,213003;4常州市医学物理重点实验室,中国常州市,213003;5南京医科大学生物医学工程与信息学院,中国南京市,211166;6广州瑞多思医疗科技有限公司研发部,中国广州市,510760;7常州大学计算机与人工智能学院,中国常州市,213159;8中国医学科学院肿瘤医院放射肿瘤科,中国北京市,100020 目的:传统的放疗剂量分布验证基于刚体模型,存在局限性。本研究旨在提出一个生物在体三维剂量分布验证的新概念,研究呼吸运动对肺癌放疗剂量投递准确性的影响,并为提升放疗精度和推动个体化自适应放疗提供技术支撑。 创新点:提出了生物在体三维剂量分布验证这一新概念,突破了传统的刚体验证局限。研发了三维生物肺运动模拟装置 (3D-BioLungEx),能精确复刻肺癌患者的呼吸运动特征。基于新鲜活体猪肺和3D打印的胸腔构建了仿生验证模型。开发了专门针对猪肺的迭代优化散射反演剂量分布算法(IOSI-BLDose),可实时计算三维剂量分布。 方法:1. 研发3D-BioLungEx装置,复刻肺癌患者的呼吸模式(包括正常呼吸、潮氏呼吸、打哈欠及咳嗽等异常模式)。2. 基于患者CT图像,3D打印制备胸腔,承载新鲜猪肺,并通过生物图像配准将放疗计划移植到猪肺。3. 利用3D-BioLungEx驱动猪肺模拟放疗过程中的各种呼吸模式。4. 采用IOSI-BLDose算法实时计算猪肺内的三维剂量分布,并使用gamma通过率量化其与计划剂量分布的差异。 结论:当复刻模拟定位呼吸状态时,gamma通过率可达93.61%。异常呼吸模式导致gamma通过率降至低于90%。研究表明呼吸振幅是影响剂量投递精度的主要因素,呼吸频率变化影响较小。本研究提出的生物在体三维剂量分布验证能提供实时生物学反馈,更敏感地检测运动引起的剂量偏差,具有重要的临床应用潜力。
关键词:生物肺;3D打印;运动仿真设备;放疗;肺癌;三维剂量分布验证;呼吸运动

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