Optical diagnosis of gastric cancer using near-infrared multichannel Raman spectroscopy with a 1064-nm excitation wavelength

Abstract

The present results indicate that near-infrared multichannel Raman spectroscopy with a 1064-nm excitation wavelength is useful for gastric cancer diagnosis. Establishment of a Raman diagnostic system for gastric cancer may improve the clinical diagnosis of gastric cancer and be beneficial for patients.

Near-Infrared Multichannel Raman Spectroscopy with a 1064 nm Excitation Wavelength for Ex Vivo Diagnosis of Gastric Cancer

“…We have previously reported, using biopsy specimens, the usefulness of Raman spectroscopy (RAS) as a novel diagnostic modality for gastric cancer [8]. The concept of RAS was originally established by Raman, C. V., in 1928 [9,10].…”

“…RAS is especially suitable for in vivo measurements because the power of the excitation light does not affect the tissue and the penetration depth is relatively large [10]. In our previous study, we utilized near-infrared RAS that had an excitation wavelength of 1064 nm [8]. Although the 1064 nm near-infrared multichannel RAS system appeared to have the potential to be a realtime diagnostic tool for gastric cancer in our previous study using biopsy specimens, the study might not have reflected in vivo use of RAS due to a lack of tissue other than the mucosal layer in the biopsy specimens.…”

Integrated system for combined Raman spectroscopy–spectral domain optical coherence tomography

“…RS of tissue has been reported at wavelengths from the ultraviolet 17 to 1064 nm in the infrared. 18 Typically, sources in the near-infrared are preferred because tissue autofluorescence is reduced. However, Raman scattering intensity and detector responsivity also typically decrease with increasing wavelength.…”

Diagnostic model based on Raman spectra of normal, hyperplasia and prostate adenocarcinoma tissuesin vitro

“…Several studies have confirmed the accuracy of the diagnostic technique based on Raman spectroscopy in various biological tissues such as the cervical lesions [1,22], gastric tissues [15,30], colon [20], thyroid [18], larynx [34], skin [2,17], bladder [6,10], among others. In prostate tissues, several studies indicated the diagnostic capability of various optical techniques [5,7,9,33].…”

“…PCA has been employed for spectral classification in a variety of diseases such as atherosclerosis and neoplasias, among others [9,10,[13][14][15]17,20,26,27,34,35]. With PCA, one could separate the relevant spectral information which is dependent on the composition of the material analyzed, i.e., a few variables, from the random, uncorrelated variations.…”