Literature DB >> 31403055

Ex vivo Raman spectroscopy mapping of lung tissue: label-free molecular characterization of nontumorous and cancerous tissues.

Manon Bourbousson1, Irshad Soomro2, David Baldwin3, Ioan Notingher1.   

Abstract

Raman spectroscopy mapping was used to study ex vivo fresh lung tissues and compare to histology sections. The Raman mapping measurements revealed differences in the molecular composition of normal lung tissue, adenocarcinoma, and squamous cell carcinoma (SCC). Molecular heterogeneity of the tissue samples was well captured by the k -means clustering analysis of the Raman datasets, as confirmed by the correlation with the adjacent haematoxylin and eosin (H&E) stained tissue sections. The results indicate that the fluorescence background varies considerably even in samples that appear structurally uniform in the H&E images, both for normal and tumor tissue. The results show that characteristic Raman bands can be used to discriminate between tumorous and nontumorous lung tissues and between adenocarcinoma and SCC tissues. These results indicate the potential to develop Raman classifications models for lung tissues based on the Raman spectral differences at the microscopic level, which can be used for tissue diagnosis or treatment stratification.

Entities:  

Keywords:  Raman spectroscopy; diagnosis; lung cancer; mapping

Year:  2019        PMID: 31403055      PMCID: PMC6688048          DOI: 10.1117/1.JMI.6.3.036001

Source DB:  PubMed          Journal:  J Med Imaging (Bellingham)        ISSN: 2329-4302


  27 in total

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Authors:  N Ramanujam
Journal:  Neoplasia       Date:  2000 Jan-Apr       Impact factor: 5.715

2.  Automated method for subtraction of fluorescence from biological Raman spectra.

Authors:  Chad A Lieber; Anita Mahadevan-Jansen
Journal:  Appl Spectrosc       Date:  2003-11       Impact factor: 2.388

3.  Diagnosing breast cancer by using Raman spectroscopy.

Authors:  Abigail S Haka; Karen E Shafer-Peltier; Maryann Fitzmaurice; Joseph Crowe; Ramachandra R Dasari; Michael S Feld
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-22       Impact factor: 11.205

4.  Discrimination of normal, inflammatory, premalignant, and malignant oral tissue: a Raman spectroscopy study.

Authors:  R Malini; K Venkatakrishna; J Kurien; Keerthilatha M Pai; Lakshmi Rao; V B Kartha; C Murali Krishna
Journal:  Biopolymers       Date:  2006-02-15       Impact factor: 2.505

5.  Raman microspectroscopic mapping studies of human bronchial tissue.

Authors:  Senada Koljenović; Tom C Bakker Schut; Jan P van Meerbeeck; Alexander P W M Maat; Sjaak A Burgers; Pieter E Zondervan; Johan M Kros; Gerwin J Puppels
Journal:  J Biomed Opt       Date:  2004 Nov-Dec       Impact factor: 3.170

6.  Assessment of fiberoptic near-infrared raman spectroscopy for diagnosis of bladder and prostate cancer.

Authors:  P Crow; A Molckovsky; N Stone; J Uff; B Wilson; L-M WongKeeSong
Journal:  Urology       Date:  2005-06       Impact factor: 2.649

7.  Discriminating basal cell carcinoma from its surrounding tissue by Raman spectroscopy.

Authors:  Annieke Nijssen; Tom C Bakker Schut; Freerk Heule; Peter J Caspers; Donal P Hayes; Martino H A Neumann; Gerwin J Puppels
Journal:  J Invest Dermatol       Date:  2002-07       Impact factor: 8.551

8.  Raman spectroscopy for identification of epithelial cancers.

Authors:  Nicholas Stone; Catherine Kendall; Jenny Smith; Paul Crow; Hugh Barr
Journal:  Faraday Discuss       Date:  2004       Impact factor: 4.008

9.  Near-infrared Raman spectroscopy for optical diagnosis of lung cancer.

Authors:  Zhiwei Huang; Annette McWilliams; Harvey Lui; David I McLean; Stephen Lam; Haishan Zeng
Journal:  Int J Cancer       Date:  2003-12-20       Impact factor: 7.396

10.  The use of Raman spectroscopy to differentiate between different prostatic adenocarcinoma cell lines.

Authors:  P Crow; B Barrass; C Kendall; M Hart-Prieto; M Wright; R Persad; N Stone
Journal:  Br J Cancer       Date:  2005-06-20       Impact factor: 7.640

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  2 in total

1.  Deep Learning for Chondrogenic Tumor Classification through Wavelet Transform of Raman Spectra.

Authors:  Pietro Manganelli Conforti; Mario D'Acunto; Paolo Russo
Journal:  Sensors (Basel)       Date:  2022-10-03       Impact factor: 3.847

2.  Imaging of Oral SCC Cells by Raman Micro-Spectroscopy Technique.

Authors:  Hidetaka Kinoshita; Norio Miyoshi; Toshiyuki Ogasawara
Journal:  Molecules       Date:  2021-06-15       Impact factor: 4.411

  2 in total

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