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A preliminary study of dual-band confocal laser endomicroscopy combined with image mosaic in the diagnosis of liver cancer

文献类型：期刊论文

作者Zheng, Sheng1,2,3,4; Zhang, Ying3,5; Chen, Shujie3,5; Zhang, Zeyu1,4; Chen, Fei2,3; Zhang, Zizhen2,3; Hu, Zhenhua1,4; Tian, Jie1,4; Wang, Liangjing2,3
刊名NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE
出版日期2020-10-01
卷号29页码:9
关键词Confocal laser endomicroscopy Primary liver cancer Fluorescein sodium Indocyanine green Tumor margin Image mosaic
ISSN号1549-9634
DOI10.1016/j.nano.2020.102250
通讯作者Hu, Zhenhua(zhenhua.hu@ia.ac.cn) ; Tian, Jie(jie.tian@ia.ac.cn) ; Wang, Liangjing(wangljzju@zju.edu.cn)
英文摘要Accurate identification of tumor tissues and their margins are still challenging for conventional clinical imaging methods during liver cancer surgery. In this study, dual-band confocal laser endomicroscopy (CLE) combined with image mosaic was used to guide liver cancer surgery. In the experiments with mice bearing orthotropic liver tumor, CLE can accurately detect the tumors and identify their margins with two excitation wavelengths of 488 nm and 660 nm by clinically available dyes fluorescein sodium (FS) or indocyanine green (ICG). The mosaic CLE images enlarged the imaging field and detected the liver tumor margins more accurately. Normal liver tissues fluorescence intensity of CLE images was significantly higher than that of tumor tissues in the same tumor-bearing mice (P < 0.0001). Overall, dual-band CLE imaging demonstrates to be a promising method to identify liver tumor tissues and margins, which has the prospect of clinical application and helps to achieve intraoperative radical resection. (C) 2020 Elsevier Inc. All rights reserved.
WOS关键词FLUORESCENCE ; SURGERY ; MANAGEMENT ; BIOPSY
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)[81671759] ; Scientific Instrument Developing Project of the Chinese Academy of Sciences[YZ201672] ; Beijing Natural Science Foundation[JQ19027] ; Beijing Nova Program[Z181100006218046] ; innovative research team of high-level local universities in Shanghai ; Zhuhai High-level Health Personnel Team Project[Zhuhai HLHPTP201703]
WOS研究方向Science & Technology - Other Topics ; Research & Experimental Medicine
语种英语
WOS记录号WOS:000573096200001
出版者ELSEVIER
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China (NSFC) ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; Beijing Natural Science Foundation ; Beijing Nova Program ; 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/173211/42041]  
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Hu, Zhenhua; Tian, Jie; Wang, Liangjing
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Zhejiang Univ, Dept Gastroenterol, Affiliated Hosp 2, Sch Med, Hangzhou 310009, Peoples R China
3.Zhejiang Univ, Inst Gastroenterol, Hangzhou, Peoples R China
4.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing Key Lab Mol Imaging,State Key Lab Managem, Beijing, Peoples R China
5.Zhejiang Univ, Sir Run Shaw Hosp, Dept Gastroenterol, Hangzhou, Peoples R China
推荐引用方式
GB/T 7714		 Zheng, Sheng,Zhang, Ying,Chen, Shujie,et al. A preliminary study of dual-band confocal laser endomicroscopy combined with image mosaic in the diagnosis of liver cancer[J]. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE,2020,29:9.
APA Zheng, Sheng.,Zhang, Ying.,Chen, Shujie.,Zhang, Zeyu.,Chen, Fei.,...&Wang, Liangjing.(2020).A preliminary study of dual-band confocal laser endomicroscopy combined with image mosaic in the diagnosis of liver cancer.NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE,29,9.
MLA Zheng, Sheng,et al."A preliminary study of dual-band confocal laser endomicroscopy combined with image mosaic in the diagnosis of liver cancer".NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 29(2020):9.

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来源：自动化研究所

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