| Development and application of the near-infrared and white-light thoracoscope system for minimally invasive lung cancer surgery | |
Mao, Yamin1,2,3 ; Wang, Kun1,2; He, Kunshan1,2,3; Ye, Jinzuo1,2,3; Yang, Fan4; Zhou, Jian4; Li, Hao4; Chen, Xiuyuan4; Wang, Jun; Chi, Chongwei1,2; Tian, Jie1,2
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| Source Publication | JOURNAL OF BIOMEDICAL OPTICS
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| 2017-06-01 | |
| Volume | 22Issue:6 |
| Subtype | Article |
| Abstract | In minimally invasive surgery, the white-light thoracoscope as a standard imaging tool is facing challenges of the low contrast between important anatomical or pathological regions and surrounding tissues. Recently, the near-infrared (NIR) fluorescence imaging shows superior advantages over the conventional white-light observation, which inspires researchers to develop imaging systems to improve overall outcomes of endoscopic imaging. We developed an NIR and white-light dual-channel thoracoscope system, which achieved high-fluorescent signal acquisition efficiency and the simultaneously optimal visualization of the NIR and color dual-channel signals. The system was designed to have fast and accurate image registration and high signal-to-background ratio by optimizing both software algorithms and optical hardware components for better performance in the NIR spectrum band. The system evaluation demonstrated that the minimally detectable concentration of indocyanine green (ICG) was 0.01 mu M, and the spatial resolution was 35 mu m. The in vivo feasibility of our system was verified by the preclinical experiments using six porcine models with the intravenous injection of ICG. Furthermore, the system was successfully applied for guiding the minimally invasive segmentectomy in three lung cancer patients, which revealed that our system held great promise for the clinical translation in lung cancer surgeries. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) |
| Keyword | Fluorescence Image-guided Surgery Minimally Invasive Surgery Thoracoscope Indocyanine Green Lung Cancer Surgery Thoracic Duct Pulmonary Segments |
| WOS Headings | Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences |
| DOI | 10.1117/1.JBO.22.6.066002 |
| WOS Keyword | INDOCYANINE GREEN ; FLUORESCENCE ENDOSCOPY ; GUIDED SURGERY ; REAL-TIME ; SEGMENTECTOMY ; IDENTIFICATION ; DUCT ; DISSECTION ; RESECTION ; SURVIVAL |
| Indexed By | SCI |
| Language | 英语 |
| Funding Organization | National Basic Research Program of China (973 Program)(2015CB755500) ; National Natural Science Foundation of China(81227901 ; Chinese Academy of Sciences(YZ201359 ; Institutional Ethics Committee of Peking University People's Hospital(2015PHB157-01 ; 81527805 ; KGZD-EW-T03) ; NCT02611245) ; 81501594 ; 61671449 ; 61231004 ; 61501462) |
| WOS Research Area | Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging |
| WOS Subject | Biochemical Research Methods ; Optics ; Radiology, Nuclear Medicine & Medical Imaging |
| WOS ID | WOS:000405436800012 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/15257 |
| Collection | 中国科学院分子影像重点实验室 |
| Affiliation | 1.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing, Peoples R China 2.Beijing Key Lab Mol Imaging, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Peking Univ, Peoples Hosp, Dept Thorac Surg, Beijing, Peoples R China |
| Recommended Citation GB/T 7714 | Mao, Yamin,Wang, Kun,He, Kunshan,et al. Development and application of the near-infrared and white-light thoracoscope system for minimally invasive lung cancer surgery[J]. JOURNAL OF BIOMEDICAL OPTICS,2017,22(6). |
| APA | Mao, Yamin.,Wang, Kun.,He, Kunshan.,Ye, Jinzuo.,Yang, Fan.,...&Tian, Jie.(2017).Development and application of the near-infrared and white-light thoracoscope system for minimally invasive lung cancer surgery.JOURNAL OF BIOMEDICAL OPTICS,22(6). |
| MLA | Mao, Yamin,et al."Development and application of the near-infrared and white-light thoracoscope system for minimally invasive lung cancer surgery".JOURNAL OF BIOMEDICAL OPTICS 22.6(2017). |
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| Development and appl（2280KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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