Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics
Lung cancer is the leading cause of cancer-related death in the world. Early diagnosis has great significance for the survival of patients with lung cancer. In this paper, attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy combined with chemometrics was used to study the...
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Frontiers Media S.A.
2021-09-01
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Series: | Frontiers in Oncology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.753791/full |
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author | Xien Yang Quanhong Ou Kai Qian Jianru Yang Zhixun Bai Weiye Yang Youming Shi Gang Liu |
author_facet | Xien Yang Quanhong Ou Kai Qian Jianru Yang Zhixun Bai Weiye Yang Youming Shi Gang Liu |
author_sort | Xien Yang |
collection | DOAJ |
description | Lung cancer is the leading cause of cancer-related death in the world. Early diagnosis has great significance for the survival of patients with lung cancer. In this paper, attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy combined with chemometrics was used to study the serum samples from patients with lung cancer and healthy people. The results of spectral band area comparison showed that the concentrations of protein, lipid and nucleic acids molecules in serum of patients with lung cancer were increased compared with those in healthy people. The original spectra were preprocessed to improve the accuracy of principal component regression (PCR) and partial least squares-discriminant analysis (PLS-DA) models. PLS-DA results for first derivative spectral data in nucleic acids (1250-1000cm-1) band showed 80% sensitivity, 91.89% specificity and 87.10% accuracy with high Rc2 of 0.8949 and Rv2 of 0.8153, low RMSEC of 0.3136 and RMSEV of 0.4180. It is shown that ATR-FTIR spectroscopy combined with chemometrics might be developed as a simple method for clinical screening and diagnosis of lung cancer. |
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format | Article |
id | doaj.art-28e5835b31274e9ca6cccd0c3840def6 |
institution | Directory Open Access Journal |
issn | 2234-943X |
language | English |
last_indexed | 2024-12-19T16:29:50Z |
publishDate | 2021-09-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Oncology |
spelling | doaj.art-28e5835b31274e9ca6cccd0c3840def62022-12-21T20:14:13ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-09-011110.3389/fonc.2021.753791753791Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and ChemometricsXien Yang0Quanhong Ou1Kai Qian2Jianru Yang3Zhixun Bai4Weiye Yang5Youming Shi6Gang Liu7School of Physics and Electronic Information, Yunnan Normal University, Kunming, ChinaSchool of Physics and Electronic Information, Yunnan Normal University, Kunming, ChinaDepartment of Thoracic Surgery, The First People’s Hospital of Yunnan Province, Kunming, ChinaDepartment of Clinical Laboratory, Affiliated Hospital of Zunyi Medical University, Zunyi, ChinaDepartment of Internal Medicine, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, ChinaSchool of Physics and Electronic Information, Yunnan Normal University, Kunming, ChinaSchool of Physics and Electronic Engineering, Qujing Normal University, Qujing, ChinaSchool of Physics and Electronic Information, Yunnan Normal University, Kunming, ChinaLung cancer is the leading cause of cancer-related death in the world. Early diagnosis has great significance for the survival of patients with lung cancer. In this paper, attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy combined with chemometrics was used to study the serum samples from patients with lung cancer and healthy people. The results of spectral band area comparison showed that the concentrations of protein, lipid and nucleic acids molecules in serum of patients with lung cancer were increased compared with those in healthy people. The original spectra were preprocessed to improve the accuracy of principal component regression (PCR) and partial least squares-discriminant analysis (PLS-DA) models. PLS-DA results for first derivative spectral data in nucleic acids (1250-1000cm-1) band showed 80% sensitivity, 91.89% specificity and 87.10% accuracy with high Rc2 of 0.8949 and Rv2 of 0.8153, low RMSEC of 0.3136 and RMSEV of 0.4180. It is shown that ATR-FTIR spectroscopy combined with chemometrics might be developed as a simple method for clinical screening and diagnosis of lung cancer.https://www.frontiersin.org/articles/10.3389/fonc.2021.753791/fulllung cancerserumATR-FTIR spectroscopyBeer-Lambert lawchemometrics |
spellingShingle | Xien Yang Quanhong Ou Kai Qian Jianru Yang Zhixun Bai Weiye Yang Youming Shi Gang Liu Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics Frontiers in Oncology lung cancer serum ATR-FTIR spectroscopy Beer-Lambert law chemometrics |
title | Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics |
title_full | Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics |
title_fullStr | Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics |
title_full_unstemmed | Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics |
title_short | Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics |
title_sort | diagnosis of lung cancer by atr ftir spectroscopy and chemometrics |
topic | lung cancer serum ATR-FTIR spectroscopy Beer-Lambert law chemometrics |
url | https://www.frontiersin.org/articles/10.3389/fonc.2021.753791/full |
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