Literature DB >> 21456876

Characterizing variability in in vivo Raman spectra of different anatomical locations in the upper gastrointestinal tract toward cancer detection.

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

Abstract

Raman spectroscopy is an optical vibrational technology capable of probing biomolecular changes of tissue associated with cancer transformation. This study aimed to characterize in vivo Raman spectroscopic properties of tissues belonging to different anatomical regions in the upper gastrointestinal (GI) tract and explore the implications for early detection of neoplastic lesions during clinical gastroscopy. A novel fiber-optic Raman endoscopy technique was utilized for real-time in vivo tissue Raman measurements of normal esophageal (distal, middle, and proximal), gastric (antrum, body, and cardia) as well as cancerous esophagous and gastric tissues from 107 patients who underwent endoscopic examinations. The non-negativity-constrained least squares minimization coupled with a reference database of Raman active biochemicals (i.e., actin, histones, collagen, DNA, and triolein) was employed for semiquantitative biomolecular modeling of tissue constituents in the upper GI. A total of 1189 in vivo Raman spectra were acquired from different locations in the upper GI. The Raman spectra among the distal, middle, and proximal sites of the esophagus showed no significant interanatomical variability. The interanatomical variability of Raman spectra among normal gastric tissue (antrum, body, and cardia) was subtle compared to cancerous tissue transformation, whereas biomolecular modeling revealed significant differences between the two organs, particularly in the gastroesophageal junction associated with proteins, DNA, and lipids. Cancerous tissues can be identified across interanatomical regions with accuracies of 89.3% [sensitivity of 92.6% (162∕175); specificity of 88.6% (665∕751)], and of 94.7% [sensitivity of 90.9% (30∕33); specificity of 93.9% (216∕230)] in the gastric and esophagus, respectively, using partial least squares-discriminant analysis together with the leave-one tissue site-out, cross validation. This work demonstrates that Raman endoscopy technique has promising clinical potential for real-time, in vivo diagnosis and detection of malignancies in the upper GI at the molecular level.

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Year:  2011        PMID: 21456876     DOI: 10.1117/1.3556723

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  23 in total

1.  Dispersion-based stimulated Raman scattering spectroscopy, holography, and optical coherence tomography.

Authors:  Francisco E Robles; Martin C Fischer; Warren S Warren
Journal:  Opt Express       Date:  2016-01-11       Impact factor: 3.894

2.  An Expandable Mechanopharmaceutical Device (3): a Versatile Raman Spectral Cytometry Approach to Study the Drug Cargo Capacity of Individual Macrophages.

Authors:  Vernon LaLone; Márcio A Mourão; Theodore J Standiford; Krishnan Raghavendran; Kerby Shedden; Kathleen A Stringer; Gus R Rosania
Journal:  Pharm Res       Date:  2018-11-06       Impact factor: 4.200

Review 3.  New imaging techniques and opportunities in endoscopy.

Authors:  Ralf Kiesslich; Martin Goetz; Arthur Hoffman; Peter Robert Galle
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2011-09-06       Impact factor: 46.802

4.  Discrimination of gastric cancer from normal by serum RNA based on surface-enhanced Raman spectroscopy (SERS) and multivariate analysis.

Authors:  Yanping Chen; Gang Chen; Xiongwei Zheng; Cheng He; Shangyuan Feng; Yan Chen; Xiaoqian Lin; Rong Chen; Haisan Zeng
Journal:  Med Phys       Date:  2012-09       Impact factor: 4.071

5.  Raman active components of skin cancer.

Authors:  Xu Feng; Austin J Moy; Hieu T M Nguyen; Jason Zhang; Matthew C Fox; Katherine R Sebastian; Jason S Reichenberg; Mia K Markey; James W Tunnell
Journal:  Biomed Opt Express       Date:  2017-05-04       Impact factor: 3.732

6.  Clinical characterization of in vivo inflammatory bowel disease with Raman spectroscopy.

Authors:  Isaac J Pence; Dawn B Beaulieu; Sara N Horst; Xiaohong Bi; Alan J Herline; David A Schwartz; Anita Mahadevan-Jansen
Journal:  Biomed Opt Express       Date:  2017-01-04       Impact factor: 3.732

7.  Sensitivity of Raman spectroscopy to normal patient variability.

Authors:  Elizabeth Vargis; Teresa Byrd; Quinisha Logan; Dineo Khabele; Anita Mahadevan-Jansen
Journal:  J Biomed Opt       Date:  2011-11       Impact factor: 3.170

8.  Rapid discrimination of malignant lesions from normal gastric tissues utilizing Raman spectroscopy system: a meta-analysis.

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

9.  Surgical Guidance via Multiplexed Molecular Imaging of Fresh Tissues Labeled with SERS-Coded Nanoparticles.

Authors:  Yu Wang; Soyoung Kang; Josh D Doerksen; Adam K Glaser; Jonathan T C Liu
Journal:  IEEE J Sel Top Quantum Electron       Date:  2016-03-21       Impact factor: 4.544

10.  Near-infrared Raman Microspectroscopy Detects High-risk Human Papillomaviruses.

Authors:  Elizabeth Vargis; Yi-Wei Tang; Dineo Khabele; Anita Mahadevan-Jansen
Journal:  Transl Oncol       Date:  2012-06-01       Impact factor: 4.243

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