CASIA OpenIR  > 中国科学院分子影像重点实验室
First Clinical Investigation of Near-Infrared Window IIa/IIb Fluorescence Imaging for Precise Surgical Resection of Gliomas
Caiguang Cao1,2; Zeping Jin3,4; Xiaojing Shi1,2; Zhe Zhang3,4; Anqi Xiao1,2; Junying Yang1,5; Nan Ji3,4,6; Jie Tian1,2,6,7; Zhenhua Hu1,2
Source PublicationIEEE Transactions on Biomedical Engineering
2022-08
Volume69Pages:2404-2413
SubtypeArticle
Abstract

Objective: The near-infrared window II (NIRII, 1000–1700 nm) imaging, including NIR-IIa (1300–1400 mm) and NIR-IIb (1500-1700 mm), outperforms the nearinfrared window I (NIR-I, 700-900 nm) imaging in biological researches. However, the advantages of NIR-IIa/IIb imaging in human study are ambiguous. This study aims to apply the NIR-IIa/IIb imaging to glioma resection and evaluate their performance by using the developed imaging instrument and intraoperative image fusion method. Methods: A multispectral fluorescence imaging instrument that integrated NIR-I/II/IIa/IIb fluorescence imaging and an intraoperative image fusion method have been developed. Seven patients with grade III/IV glioma have been enrolled. NIRI/II images of the tumor and NIR-I/II/IIa/IIb images of cerebral vessels were acquired with the administration of indocyanine green. Images were fused using the specialized fusion method to synchronously provide the distribution of the vessels and the surgical boundaries. Results: The NIR-IIa/IIb imaging was successfully applied to the clinic. High imaging resolution and contrast have been attained in the NIR-IIa/IIb spectra. Besides, capillaries with an apparent diameter as small as 182 µm were acquired using NIRIIb imaging. Tumor-feeding arteries were precisely blocked and tumors were excised to the maximum extent for all patients. The blood loss volume during surgery was significantly reduced compared with the control group. Conclusion: The multispectral fluorescence imaging showed high performance, which led to a significant reduction in blood loss volume. Significance: The novel multispectral fluorescence imaging technology can assist surgeons in other vascular surgeries in the future.

Indexed BySCI
Sub direction classification医学影像处理与分析
planning direction of the national heavy laboratory实体人工智能系统(软、硬件)
Paper associated data
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/51986
Collection中国科学院分子影像重点实验室
Affiliation1.CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, China
2.School of Artificial Intelligence, University of Chinese Academy of Sciences, China
3.Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, China
4.China National Clinical Research Center for Neurological Diseases, China. Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, China
5.Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, China
6.Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine, Beihang University
7.Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Caiguang Cao,Zeping Jin,Xiaojing Shi,et al. First Clinical Investigation of Near-Infrared Window IIa/IIb Fluorescence Imaging for Precise Surgical Resection of Gliomas[J]. IEEE Transactions on Biomedical Engineering,2022,69:2404-2413.
APA Caiguang Cao.,Zeping Jin.,Xiaojing Shi.,Zhe Zhang.,Anqi Xiao.,...&Zhenhua Hu.(2022).First Clinical Investigation of Near-Infrared Window IIa/IIb Fluorescence Imaging for Precise Surgical Resection of Gliomas.IEEE Transactions on Biomedical Engineering,69,2404-2413.
MLA Caiguang Cao,et al."First Clinical Investigation of Near-Infrared Window IIa/IIb Fluorescence Imaging for Precise Surgical Resection of Gliomas".IEEE Transactions on Biomedical Engineering 69(2022):2404-2413.
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