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On-line Access: 2025-11-14
Received: 2025-02-24
Revision Accepted: 2025-07-07
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In vivo 3D dose distribution verification for lung cancer: from rigid-body model to porcine lung
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Yutao Zhang (张宇涛), Kai Xie (谢凯), Lintao Song (宋林涛), Jiewei Lai (赖杰伟), Haiping Zheng (郑海平), Qianjia Huang (黄仟甲), Hao Wang (王浩), Tao Lin (林涛), Liugang Gao (高留刚), Jiawei Sun (孙佳伟), Jianrong Dai (戴建荣) & Xinye Ni (倪昕晔) . 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.
@article{title="In vivo 3D dose distribution verification for lung cancer: from rigid-body model to porcine lung",
author="Yutao Zhang (张宇涛), Kai Xie (谢凯), Lintao Song (宋林涛), Jiewei Lai (赖杰伟), Haiping Zheng (郑海平), Qianjia Huang (黄仟甲), Hao Wang (王浩), Tao Lin (林涛), Liugang Gao (高留刚), Jiawei Sun (孙佳伟), Jianrong Dai (戴建荣) & Xinye Ni (倪昕晔) ",
journal="Journal of Zhejiang University Science D",
volume="8",
number="6",
pages="994-1008",
year="2025",
publisher="Zhejiang University Press & Springer",
doi="10.1631/bdm.2500077"
}
%0 Journal Article
%T In vivo 3D dose distribution verification for lung cancer: from rigid-body model to porcine lung
%A Yutao Zhang (张宇涛)
%A Kai Xie (谢凯)
%A Lintao Song (宋林涛)
%A Jiewei Lai (赖杰伟)
%A Haiping Zheng (郑海平)
%A Qianjia Huang (黄仟甲)
%A Hao Wang (王浩)
%A Tao Lin (林涛)
%A Liugang Gao (高留刚)
%A Jiawei Sun (孙佳伟)
%A Jianrong Dai (戴建荣) & Xinye Ni (倪昕晔)
%J Journal of Zhejiang University SCIENCE D
%V 8
%N 6
%P 994-1008
%@ 1869-1951
%D 2025
%I Zhejiang University Press & Springer
%DOI 10.1631/bdm.2500077
TY - JOUR
T1 - In vivo 3D dose distribution verification for lung cancer: from rigid-body model to porcine lung
A1 - Yutao Zhang (张宇涛)
A1 - Kai Xie (谢凯)
A1 - Lintao Song (宋林涛)
A1 - Jiewei Lai (赖杰伟)
A1 - Haiping Zheng (郑海平)
A1 - Qianjia Huang (黄仟甲)
A1 - Hao Wang (王浩)
A1 - Tao Lin (林涛)
A1 - Liugang Gao (高留刚)
A1 - Jiawei Sun (孙佳伟)
A1 - Jianrong Dai (戴建荣) & Xinye Ni (倪昕晔)
J0 - Journal of Zhejiang University Science D
VL - 8
IS - 6
SP - 994
EP - 1008
%@ 1869-1951
Y1 - 2025
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/bdm.2500077
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 patient’s lung structure, during transmission, skin, skeleton, and organs were adjusted according to CT images
of the porcine lung. The patient’s 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.
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