Diagnosis of knee osteoarthritis by OCT and surface-enhanced Raman spectroscopy

Author:

An Ran1ORCID,Gu Huaimin1ORCID,Guo Zhouyi23,Zhong Huiqing23,Wei Huajiang23,Wu Guoyong4,He Yonghong5,Xie Shusen6,Yang Hongqin6

Affiliation:

1. School of Semiconductor Science and Technology, South China Normal University, Guangzhou 510631, P. R. China

2. Publications Department, Optica, 2010 Massachusetts Avenue NW, Washington, DC 20036, USA

3. MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P. R. China

4. The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, P. R. China

5. Tsinghua University, Shenzhen 518055, P. R. China

6. Fujian Normal University, Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education of China, Fuzhou 350007, P. R. China

Abstract

In this paper, optical coherence tomography (OCT) and surface-enhanced Raman spectroscopy (SERS) were used to characterize normal knee joint (NKJ) tissue and knee osteoarthritis (KOA) tissue ex vivo. OCT images show that there is a clear hierarchical structure in NKJ tissue, including surface layer, transitional layer, radiation layer and cartilage matrix calcification layer tissue structure, while the hierarchical structure of KOA tissue is not clear and unevenly distributed, and the pathological tissues at different stages also show significant differences. SERS shows that NKJ tissue and mild osteoarthritic knee cartilage (MiKOA) tissue have strong characteristic Raman peaks at 964, 1073 (1086), 1271, 1305, 1442, 1660 and 1763[Formula: see text]cm[Formula: see text]. Compared with the Raman spectrum of NKJ tissue, the Raman characteristic peaks of MiKOA tissue have some shifts, moving from 1073[Formula: see text]cm[Formula: see text] to 1086[Formula: see text]cm[Formula: see text] and from 1542[Formula: see text]cm[Formula: see text] to 1442[Formula: see text]cm[Formula: see text]. There is a characteristic Raman peak of 1271[Formula: see text]cm[Formula: see text] in MiKOA tissue, but not in NKJ tissue. Compared with NKJ tissue, severely degenerated cartilage (SdKOA) tissues show some new SERS peaks at 1008, 1245, 1285, 1311 and 1321[Formula: see text]cm[Formula: see text], which are not seen in SERS spectra of NKJ tissue. Principal component analysis (PCA) was used to analyze the Raman spectra of 1245–1345[Formula: see text]cm[Formula: see text] region. The results show that PCA can distinguish NKJ, MiKOA and SdKOA tissues and the accuracy is about 90%. These results indicate that OCT can clearly distinguish NKJ, MiKOA, moderate osteoarthritic knee cartilage (MoKOA) and SdKOA tissue, while SERS can provide further judgment basis. The results also prove that the contents of protein and polysaccharide in knee tissue are changed during the pathological process of knee tissue, which is the cause of pain caused by poor friction in knee joint during movement.

Funder

Natural Science Foundation of Guangdong Province

Publisher

World Scientific Pub Co Pte Ltd

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Medicine (miscellaneous),Electronic, Optical and Magnetic Materials

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An auxiliary diagnostic technology and clinical efficacy evaluation in knee osteoarthritis based on serum surface-enhanced Raman spectroscopy;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2023-08

2. Characterization of Degraded Cartilage Using Confocal Raman Microscopy;Cartilage Disorders - Recent Findings and Treatment;2023-07-26

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