A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model

doi:10.1007/s11548-022-02676-2

	A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model
	Wang, Tengfei 1,2; He, Tiancheng 3; Zhang, Zhenglin 2; Chen, Qi 1; Zhang, Liwei 1; Xia, Guoren 1; Yang, Lizhuang 1,2; Wang, Hongzhi 1,2; Wong, Stephen T. C.3; Li, Hai 1,2
刊名	INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
	2022-05-31
关键词	Image-guided intervention system Patient-specific respiratory motion model Image registration Surgical path planning
ISSN号	1861-6410
DOI	10.1007/s11548-022-02676-2
通讯作者	Wong, Stephen T. C.(stwong@houstonmethodist.org) ; Li, Hai(hli@cmpt.ac.cn)
英文摘要	Purpose Due to respiratory motion, precise tracking of lung nodule movement is a persistent challenge for guiding percutaneous lung biopsy during image-guided intervention. We developed an automated image-guided system incorporating effective and robust tracking algorithms to address this challenge. Accurate lung motion prediction and personalized image-guided intervention are the key technological contributions of this work. Methods A patient-specific respiratory motion model is developed to predict pulmonary movements of individual patients. It is based on the relation between the artificial 4D CT and corresponding positions tracked by position sensors attached on the chest using an electromagnetic (EM) tracking system. The 4D CT image of the thorax during breathing is calculated through deformable registration of two 3D CT scans acquired at inspiratory and expiratory breath-hold. The robustness and accuracy of the image-guided intervention system were assessed on a static thorax phantom under different clinical parametric combinations. Results Real 4D CT images of ten patients were used to evaluate the accuracy of the respiratory motion model. The mean error of the model in different breathing phases was 1.59 +/- 0.66 mm. Using a static thorax phantom, we achieved an average targeting accuracy of 3.18 +/- 1.2 mm across 50 independent tests with different intervention parameters. The positive results demonstrate the robustness and accuracy of our system for personalized lung cancer intervention. Conclusions The proposed system integrates a patient-specific respiratory motion compensation model to reduce the effect of respiratory motion during percutaneous lung biopsy and help interventional radiologists target the lesion efficiently. Our preclinical studies indicate that the image-guided system has the ability to accurately predict and track lung nodules of individual patients and has the potential for use in the diagnosis and treatment of early stage lung cancer.
资助项目	National Key R&D Program of China[2017YFB1300204] ; Hefei Foreign Cooperation Project[ZR201801020002] ; Natural Science Fund of Anhui Province[2008085MC69] ; Collaborative Innovation Program of Hefei Science Center[2020HSC-CIP001] ; CAS Anhui Province Key Laboratory of Medical Physics and Technology[LMPT201904] ; Director's Fund of Hefei Cancer Hospital of CAS[YZJJ2019C14] ; Director's Fund of Hefei Cancer Hospital of CAS[YZJJ2019A04] ; Texas CPRIT[RP110428] ; John S Dunn Research Foundation
WOS关键词	ELECTROMAGNETIC TRACKING DEVICE ; DEFORMABLE REGISTRATION ; COMPUTED-TOMOGRAPHY ; BIOPSY ; ACCURACY ; QUANTIFICATION ; FRAMEWORK
WOS研究方向	Engineering ; Radiology, Nuclear Medicine & Medical Imaging ; Surgery
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000803842200002
资助机构	National Key R&D Program of China ; Hefei Foreign Cooperation Project ; Natural Science Fund of Anhui Province ; Collaborative Innovation Program of Hefei Science Center ; CAS Anhui Province Key Laboratory of Medical Physics and Technology ; Director's Fund of Hefei Cancer Hospital of CAS ; Texas CPRIT ; John S Dunn Research Foundation
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/131073]
专题	中国科学院合肥物质科学研究院
通讯作者	Wong, Stephen T. C.; Li, Hai
作者单位	1.Chinese Acad Sci, Hefei Canc Hosp, Hefei 230031, Peoples R China 2.Chinese Acad Sci, Inst Hlth & Med Technol, Hefei Inst Phys Sci, Anhui Prov Key Lab Med Phys & Technol, Hefei 230031, Peoples R China 3.Houston Methodist Hosp, Houston Methodist Canc Ctr, Syst Med & Bioengn, Houston, TX 77030 USA
推荐引用方式 GB/T 7714	Wang, Tengfei,He, Tiancheng,Zhang, Zhenglin,et al. A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model[J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY,2022.
APA	Wang, Tengfei.,He, Tiancheng.,Zhang, Zhenglin.,Chen, Qi.,Zhang, Liwei.,...&Li, Hai.(2022).A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model.INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY.
MLA	Wang, Tengfei,et al."A personalized image-guided intervention system for peripheral lung cancer on patient-specific respiratory motion model".INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2022).