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Identification and characterization of bladder cancer by low-resolution fiber-optic Raman spectroscopy
Chen, Hao1,2; Li X(李昕)3; Broderick, Neil2,4; Liu, Yuewen5; Zhou, Yajun5; Han JD(韩建达)6,7; Xu WL(徐卫良)1,2
作者部门机器人学研究室
关键词Ann Bladder Cancer Low-resolution Pca Raman Spectroscopy
发表期刊JOURNAL OF BIOPHOTONICS
ISSN1864-063X
2018-09-01
卷号11期号:9页码:1-8
收录类别SCI ; EI
EI收录号20183705792095
WOS记录号WOS:000443944500014
产权排序6
摘要

Raman spectroscopy has been proved to be a promising diagnostic technique for various cancers detection. A major drawback for its clinical translation is the intrinsic weakness of Raman effects. Highly sensitive equipment and optimal measurement conditions are generally applied to overcome this drawback. However, these equipment are usually bulky, expensive and may also be easily influenced by surrounding environment. In this preliminary work, a low-resolution fiber-optic Raman sensing system is applied to evaluate the diagnostic potential of Raman spectroscopy to identify different bladder pathologies ex vivo. A total number of 262 spectra taken from 32 bladder specimens are included in this study. These spectra are categorized into 3 groups by histopathological analysis, namely normal bladder tissues, low-grade bladder tumors and high-grade bladder tumors. Principal component analysis fed artificial neural network are used to train a classification model for the spectral data with 10-fold cross-validation and an overall prediction accuracy of 93.1% is obtained. The sensitivities and specificities for normal bladder tissues, low-grade bladder tumors and high-grade bladder tumors are 88.5% and 95.1%, 90.3% and 98%, and 97.5% and 96.4%, respectively. These results demonstrate the potential of using a low-resolution fiber-optic Raman system for in vivo bladder cancer diagnosis.

语种英语
WOS类目Biochemical Research Methods ; Biophysics ; Optics
关键词[WOS]In-vivo ; Prostate-cancer ; Diagnosis ; Metastases ; Tissue ; Tumors
WOS研究方向Biochemistry & Molecular Biology ; Biophysics ; Optics
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/22777
专题机器人学研究室
通讯作者Li X(李昕); Xu WL(徐卫良)
作者单位1.Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand
2.The Dodd-Walls Centre for Photonic and Quantum Technologies, Dunedin, New Zealand
3.Department of Urology, The General Hospital of Shenyang Military, Shenyang, China
4.Department of Physics, The University of Auckland, Auckland, New Zealand
5.Jinzhou Medical University, Jinzhou, China
6.College of Computer and Control Engineering, Nankai University, Nankai, China
7.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Chen, Hao,Li X,Broderick, Neil,et al. Identification and characterization of bladder cancer by low-resolution fiber-optic Raman spectroscopy[J]. JOURNAL OF BIOPHOTONICS,2018,11(9):1-8.
APA Chen, Hao.,Li X.,Broderick, Neil.,Liu, Yuewen.,Zhou, Yajun.,...&Xu WL.(2018).Identification and characterization of bladder cancer by low-resolution fiber-optic Raman spectroscopy.JOURNAL OF BIOPHOTONICS,11(9),1-8.
MLA Chen, Hao,et al."Identification and characterization of bladder cancer by low-resolution fiber-optic Raman spectroscopy".JOURNAL OF BIOPHOTONICS 11.9(2018):1-8.
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