Open Access
5 June 2017 Development and application of the near-infrared and white-light thoracoscope system for minimally invasive lung cancer surgery
Yamin Mao, Kun Wang, Kunshan He, Jinzuo Ye, Fan Yang, Jian Zhou, Hao Li, Xiuyuan Chen, Jun Wang, Chongwei Chi, Jie Tian
Author Affiliations +
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  μM, and the spatial resolution was 35  μm. 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.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2017/$25.00 © 2017 SPIE
Yamin Mao, Kun Wang, Kunshan He, Jinzuo Ye, Fan Yang, Jian Zhou, Hao Li, Xiuyuan Chen, Jun Wang, Chongwei Chi, and Jie Tian "Development and application of the near-infrared and white-light thoracoscope system for minimally invasive lung cancer surgery," Journal of Biomedical Optics 22(6), 066002 (5 June 2017). https://doi.org/10.1117/1.JBO.22.6.066002
Received: 6 October 2016; Accepted: 11 May 2017; Published: 5 June 2017
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CITATIONS
Cited by 14 scholarly publications.
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KEYWORDS
Lung cancer

Surgery

Near infrared

Imaging systems

Endoscopy

Image registration

Indocyanine green

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