中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
热门
First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows

文献类型:期刊论文

作者Hu, Zhenhua6,7; Fang, Cheng1; Li, Bo1; Zhang, Zeyu3,6; Cao, Caiguang6,7; Cai, Meishan6,7; Su, Song1; Sun, Xingwang1; Shi, Xiaojing6,7; Li, Cong6,7
刊名NATURE BIOMEDICAL ENGINEERING
出版日期2019-12-23
页码16
ISSN号2157-846X
DOI10.1038/s41551-019-0494-0
通讯作者Gambhir, Sanjiv Sam(sgambhir@stanford.edu) ; Cheng, Zhen(zcheng@stanford.edu) ; Tian, Jie(tian@ieee.org)
英文摘要The second near-infrared wavelength window (NIR-II, 1,000-1,700 nm) enables fluorescence imaging of tissue with enhanced contrast at depths of millimetres and at micrometre-scale resolution. However, the lack of clinically viable NIR-II equipment has hindered the clinical translation of NIR-II imaging. Here, we describe an optical-imaging instrument that integrates a visible multispectral imaging system with the detection of NIR-II and NIR-I (700-900 nm in wavelength) fluorescence (by using the dye indocyanine green) for aiding the fluorescence-guided surgical resection of primary and metastatic liver tumours in 23 patients. We found that, compared with NIR-I imaging, intraoperative NIR-II imaging provided a higher tumour-detection sensitivity (100% versus 90.6%; with 95% confidence intervals of 89.1%-100% and 75.0%-98.0%, respectively), a higher tumour-to-normal-liver-tissue signal ratio (5.33 versus 1.45) and an enhanced tumour-detection rate (56.41% versus 46.15%). We infer that combining the NIR-I/II spectral windows and suitable fluorescence probes might improve image-guided surgery in the clinic. An optical-imaging instrument that integrates a visible multispectral imaging system with the detection of near-infrared fluorescence in the first and second windows aids the fluorescence-guided surgical resection of liver tumours in patients.
WOS关键词INDOCYANINE GREEN ; II FLUORESCENCE ; FLUOROPHORES ; CANCER
资助项目National Key Research and Development Program of China[2017YFA0205200] ; National Key Research and Development Program of China[2016YFC0102600] ; National Natural Science Foundation of China (NSFC)[81930053] ; National Natural Science Foundation of China (NSFC)[61622117] ; National Natural Science Foundation of China (NSFC)[81671759] ; National Natural Science Foundation of China (NSFC)[81227901] ; Chinese Academy of Sciences[GJJSTD20170004] ; Beijing Natural Science Foundation[JQ19027] ; Beijing Nova Program[Z181100006218046] ; Scientific Instrument Developing Project of the Chinese Academy of Sciences[YZ201672] ; innovative research team of high-level local universities in Shanghai ; Zhuhai High-level Health Personnel Team Project[Zhuhai HLHPTP201703]
WOS研究方向Engineering
语种英语
WOS记录号WOS:000507725800001
出版者NATURE PUBLISHING GROUP
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China (NSFC) ; Chinese Academy of Sciences ; Beijing Natural Science Foundation ; Beijing Nova Program ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; innovative research team of high-level local universities in Shanghai ; Zhuhai High-level Health Personnel Team Project
源URL[http://ir.ia.ac.cn/handle/173211/29525]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Gambhir, Sanjiv Sam; Cheng, Zhen; Tian, Jie
作者单位1.Southwest Med Univ, Dept Hepatobiliary Surg Pathol & Nucl Med, Affiliated Hosp, Luzhou, Peoples R China
2.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Med, Beijing, Peoples R China
3.Xidian Univ, Engn Res Ctr Mol & Neuro Imaging, Sch Life Sci & Technol, Minist Educ, Xian, Peoples R China
4.Stanford Univ, Dept Radiol, Canary Ctr Stanford Canc Early Detect, Stanford, CA 94305 USA
5.Stanford Univ, Mol Imaging Program Stanford, Bio X Program, Stanford, CA 94305 USA
6.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging,State Key Lab Managem, Beijing, Peoples R China
7.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Hu, Zhenhua,Fang, Cheng,Li, Bo,et al. First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows[J]. NATURE BIOMEDICAL ENGINEERING,2019:16.
APA Hu, Zhenhua.,Fang, Cheng.,Li, Bo.,Zhang, Zeyu.,Cao, Caiguang.,...&Tian, Jie.(2019).First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows.NATURE BIOMEDICAL ENGINEERING,16.
MLA Hu, Zhenhua,et al."First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows".NATURE BIOMEDICAL ENGINEERING (2019):16.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。