中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Precise visual distinction of brain glioma from normal tissues via targeted photoacoustic and fluorescence navigation

文献类型:期刊论文

作者Jia, Xiaohua; Fan, Kelong; Zhang, Ruofei; Zhang, Dan; Zhang, Jianjun; Gao, Yuan; Zhang, Tao; Li, Wanjun; Li, Junlai; Yan, Xiyun
刊名Nanomedicine : nanotechnology, biology, and medicine
出版日期2020-03
卷号27页码:102204
ISSN号1549-9642
关键词Glioma Molecular imaging Nanoparticles Transferrin receptor 1
产权排序5
文献子类article
英文摘要

The vexing difficulty in distinguishing glioma from normal tissues is a major obstacle to prognosis. In an attempt to solve this problem, we used a joint strategy that combined targeted-cancer stem cells nanoparticles with precise photoacoustic and fluorescence navigation. We showed that traditional magnetic resonance imaging (MRI) did not represent the true morphology of tumors. Targeted nanoparticles specifically accumulated in the tumor area. Glioma was precisely revealed at the cellular level. Tumors could be non-invasively detected through the intact skull by fluorescence molecular imaging (FMI) and photoacoustic tomography (PAT). Moreover, PAT can be used to excise deep gliomas. Histological correlation confirmed that FMI imaging accurately delineated scattered tumor cells. The combination of optical PAT and FMI navigation fulfilled the promise of precise visual imaging in glioma detection and resection. This detection method was deeper and more intuitive than the current intraoperative pathology.

语种英语
源URL[http://ir.psych.ac.cn/handle/311026/31682]  
专题心理研究所_健康与遗传心理学研究室
作者单位1.CAS Engineering Laboratory for Nanozyme, Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China; The University of Chinese Academy of Sciences, Beijing, China.
2.Department of Ultrasound, General Hospital of People's Liberation Army, Beijing, China; Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
3.CAS Engineering Laboratory for Nanozyme, Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
4.Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China; The University of Chinese Academy of Sciences, Beijing, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing, China.
5.CAS Engineering Laboratory for Nanozyme, Key Laboratory of Protein and Peptide Pharmaceuticals, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China; The University of Chinese Academy of Sciences, Beijing, China.
6.Department of Ultrasound, General Hospital of People's Liberation Army, Beijing, China. Electronic address: Li_jl@yeah.net.
7.Department of Pathology, Affiliated 3201 Hospital of Xi'an Jiaotong University, Hanzhong, Shaanxi, PR China.
8.Department of Neurosurgery, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
9.Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
10.Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
推荐引用方式
GB/T 7714
Jia, Xiaohua,Fan, Kelong,Zhang, Ruofei,et al. Precise visual distinction of brain glioma from normal tissues via targeted photoacoustic and fluorescence navigation[J]. Nanomedicine : nanotechnology, biology, and medicine,2020,27:102204.
APA Jia, Xiaohua.,Fan, Kelong.,Zhang, Ruofei.,Zhang, Dan.,Zhang, Jianjun.,...&Yan, Xiyun.(2020).Precise visual distinction of brain glioma from normal tissues via targeted photoacoustic and fluorescence navigation.Nanomedicine : nanotechnology, biology, and medicine,27,102204.
MLA Jia, Xiaohua,et al."Precise visual distinction of brain glioma from normal tissues via targeted photoacoustic and fluorescence navigation".Nanomedicine : nanotechnology, biology, and medicine 27(2020):102204.

入库方式: OAI收割

来源:心理研究所

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