Raman Spectroscopy: A Novel Technology for Gastric Cancer Diagnosis

被引:50
|
作者
Liu, Kunxiang [1 ,2 ,3 ]
Zhao, Qi [1 ,4 ]
Li, Bei [2 ,3 ]
Zhao, Xia [1 ,4 ,5 ]
机构
[1] Sun Yat sen Univ, Canc Ctr, Collaborat Innovat Ctr Canc Med, Dept Oncol,State Key Lab Oncol South China, Guangzhou, Peoples R China
[2] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, State Key Lab Appl Opt, Changchun, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
[4] Sun Yat sen Univ, Canc Ctr, Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China,Canc Microbiome P, Guangzhou, Peoples R China
[5] Army Med Univ, Dept Microbiol, Chongqing, Peoples R China
基金
中国国家自然科学基金;
关键词
Raman spectroscopy; gastric cancer; clinical diagnostics; on-site applications; machine learning; IN-VIVO DIAGNOSIS; VOLATILE ORGANIC-COMPOUNDS; SQUAMOUS-CELL CARCINOMA; OPTICAL DIAGNOSIS; BREATH ANALYSIS; LUNG-CANCER; STOMACH; TISSUES; DISCRIMINATION; DYSPLASIA;
D O I
10.3389/fbioe.2022.856591
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Gastric cancer is usually diagnosed at late stage and has a high mortality rate, whereas early detection of gastric cancer could bring a better prognosis. Conventional gastric cancer diagnostic methods suffer from long diagnostic times, severe trauma, and a high rate of misdiagnosis and rely heavily on doctors' subjective experience. Raman spectroscopy is a label-free molecular vibrational spectroscopy technique that identifies the molecular fingerprint of various samples based on the inelastic scattering of monochromatic light. Because of its advantages of non-destructive, rapid, and accurate detection, Raman spectroscopy has been widely studied for benign and malignant tumor differentiation, tumor subtype classification, and section pathology diagnosis. This paper reviews the applications of Raman spectroscopy for the in vivo and in vitro diagnosis of gastric cancer, methodology related to the spectroscopy data analysis, and presents the limitations of the technique.
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收藏
页数:11
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