Literature DB >> 21550225

Combining near-infrared-excited autofluorescence and Raman spectroscopy improves in vivo diagnosis of gastric cancer.

Mads Sylvest Bergholt1, Wei Zheng, Kan Lin, Khek Yu Ho, Ming Teh, Khay Guan Yeoh, Jimmy Bok Yan So, Zhiwei Huang.   

Abstract

This study aims to evaluate the diagnostic utility of the combined near-infrared (NIR) autofluorescence (AF) and Raman spectroscopy for improving in vivo detection of gastric cancer at clinical gastroscopy. A rapid Raman endoscopic technique was employed for in vivo spectroscopic measurements of normal (n=1098) and cancer (n=140) gastric tissues from 81 gastric patients. The composite NIR AF and Raman spectra in the range of 800-1800 cm(-1) were analyzed using principal component analysis (PCA) and linear discriminant (LDA) to extract diagnostic information associated with distinctive spectroscopic processes of gastric malignancies. High quality in vivo composite NIR AF and Raman spectra can routinely be acquired from the gastric within 0.5s. The integrated intensity over the range of 800-1800 cm(-1) established the diagnostic implications (p=1.6E-14) of the change of NIR AF intensity associated with neoplastic transformation. PCA-LDA diagnostic modeling on the in vivo tissue NIR AF and Raman spectra acquired yielded a diagnostic accuracy of 92.2% (sensitivity of 97.9% and specificity of 91.5%) for identifying gastric cancer from normal tissue. The integration area under the receiver operating characteristic (ROC) curve using the combined NIR AF and Raman spectroscopy was 0.985, which is superior to either the Raman spectroscopy or NIR AF spectroscopy alone. This work demonstrates that the complementary Raman and NIR AF spectroscopy techniques can be integrated together for improving the in vivo diagnosis and detection of gastric cancer at endoscopy.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21550225     DOI: 10.1016/j.bios.2011.04.005

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  13 in total

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Authors:  Huan Ouyang; Jiahui Xu; Zhengjie Zhu; Tengyun Long; Changjun Yu
Journal:  J Cancer Res Clin Oncol       Date:  2015-04-26       Impact factor: 4.553

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4.  Fluorescence-Raman dual modal endoscopic system for multiplexed molecular diagnostics.

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Journal:  Sci Rep       Date:  2015-03-30       Impact factor: 4.379

5.  Novel Method for Differentiating Histological Types of Gastric Adenocarcinoma by Using Confocal Raman Microspectroscopy.

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Journal:  PLoS One       Date:  2016-07-29       Impact factor: 3.240

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Authors:  Xiaobo Luo; Hao Xu; Mingjing He; Qi Han; Hui Wang; Chongkui Sun; Jing Li; Lu Jiang; Yu Zhou; Hongxia Dan; Xiaodong Feng; Xin Zeng; Qianming Chen
Journal:  Sci Rep       Date:  2016-07-15       Impact factor: 4.379

7.  Real time near-infrared Raman spectroscopy for the diagnosis of nasopharyngeal cancer.

Authors:  Lim Chwee Ming; Nagaraja Rao Gangodu; Thomas Loh; Wei Zheng; Jianfeng Wang; Kan Lin; Huang Zhiwei
Journal:  Oncotarget       Date:  2017-07-25

8.  The Oxidation-Induced Autofluorescence Hypothesis: Red Edge Excitation and Implications for Metabolic Imaging.

Authors:  Alexey N Semenov; Boris P Yakimov; Anna A Rubekina; Dmitry A Gorin; Vladimir P Drachev; Mikhail P Zarubin; Alexander N Velikanov; Juergen Lademann; Victor V Fadeev; Alexander V Priezzhev; Maxim E Darvin; Evgeny A Shirshin
Journal:  Molecules       Date:  2020-04-17       Impact factor: 4.411

9.  Real-time multispectral fluorescence lifetime imaging using Single Photon Avalanche Diode arrays.

Authors:  João L Lagarto; Federica Villa; Simone Tisa; Franco Zappa; Vladislav Shcheslavskiy; Francesco S Pavone; Riccardo Cicchi
Journal:  Sci Rep       Date:  2020-05-15       Impact factor: 4.379

10.  Melanin distribution from the dermal-epidermal junction to the stratum corneum: non-invasive in vivo assessment by fluorescence and Raman microspectroscopy.

Authors:  B P Yakimov; E A Shirshin; J Schleusener; A S Allenova; V V Fadeev; M E Darvin
Journal:  Sci Rep       Date:  2020-09-01       Impact factor: 4.379

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