4.7 Article

Evaluation of Fourier transform infrared (FTIR) spectroscopy with multivariate analysis as a novel diagnostic tool for lymph node metastasis in gastric cancer

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2022.122209

Keywords

Gastric cancer; Lymph nodes; Fourier transform infrared spectroscopy; Principal component analysis; Fisher?s discriminant analysis

Categories

Ask authors/readers for more resources

Fourier transform infrared (FTIR) spectroscopy is a vibration spectroscopy that uses infrared radiation to absorb the molecular bonds in its absorbed sample. The study aimed to evaluate FTIR spectroscopy as a diagnostic tool for lymph node metastasis (LNM) of gastric cancer. Spectral analysis was conducted on 160 fresh lymph nodes from patients with gastric cancer using FTIR. The results showed that FTIR spectroscopy has high sensitivity and specificity in diagnosing LNM, making it a potential non-invasive method for clinical practice.
Fourier transform infrared (FTIR) spectroscopy is a vibration spectroscopy that uses infrared radiation to vibrate to absorb the molecular bonds in its absorbed sample. The main purpose of this study was to evaluate FTIR spectroscopy as a novel diagnostic tool for lymph node metastasis (LNM) of gastric cancer. We collected 160 fresh non-metastatic and metastatic lymph nodes (80 each) from 60 patients with gastric cancer for spectral analysis. FTIR spectra of lymph node (LN) samples were obtained in the wavenumber range of 4000 cm-1 to 900 cm-1. We calculated the changes in the ratio of spectral intensity (/ I1460). Principal component analysis (PCA) and Fisher's discriminant analysis (FDA) were used to distinguish malignant from normal LN. Four significant bands at 1080 cm-1, 1640 cm-1, 1740 cm-1 and 3260 cm-1 separated metastatic and non-metastatic LN spectra into two distinct groups by PCA.T-tests showed that, along with the relative intensity ratios (I1080/I1460, I1640/ I1460, I3260/I1460, I1740/I1460), these band ratios were also able to differentiate between malignant and benign LN spectra. Six parameters (P1080 cm- 1, P1300 cm- 1, I1080/I1460, I1640/I1460, I3260/I1460, I1740/I1460) were selected as independent factors to set up discriminant functions. The sensitivity of FTIR spectroscopy in diagnosing LNM was 95 % by discriminant analysis. Our study suggested that FTIR spectroscopy can be a useful tool to examine LNM with high sensitivity and specificity for LNM diagnosis. Therefore it can be used in clinical practice as a non-invasive method.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available