Literature DB >> 21413186

Exploiting the diagnostic potential of biomolecular fingerprinting with vibrational spectroscopy.

Catherine Kendall1, Joanne Hutchings, Hugh Barr, Neil Shepherd, Nicholas Stone.   

Abstract

There is immense clinical need for techniques that can detect the biochemical changes associated with pre-malignancy. The ideal diagnostic test would provide rapid, non-invasive diagnosis at the point of care with high throughput and without prior tissue processing. Over the past decade vibrational spectroscopy techniques have demonstrated their ability to provide non-destructive, rapid, clinically relevant diagnostic information. Biochemical fingerprints of tissues measured using Raman and infrared spectroscopy analysed in conjunction with advanced chemometrics have shown great potential in the diagnostic assessment of biological material. Development of Raman probes is enabling the potential of in vivo clinical measurements to be realised. A novel probe design has been evaluated in clinical studies to identify and classify the subtle pre-malignant biochemical changes related to the carcinogenesis process. Exciting recent developments have enabled the probing of tissue samples at depth with huge potential for breast and prostate cancer diagnostics. Furthermore, the potential of vibrational spectroscopy to provide prognostic information is tantalising. Raman spectral data acquired on oesophageal biopsy samples analysed in conjunction with patient outcome data has shown the power of spectral biomolecular fingerprinting in predicting the outcome of patients with high-grade dysplasia in Barrett's oesophagus. Raman mapping can also be used to analyse thin tissue sections on calcium fluoride slides enabling the distribution of tissue constituents to be realised. The spectral data acquired effectively enables multiplexing of digital tissue stains since a whole array of information is gathered simultaneously. Technological developments are bringing the technologies closer to the clinical reality of spectral pathology and high-throughput non-destructive measurement with high resolution.

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Year:  2011        PMID: 21413186     DOI: 10.1039/c005379a

Source DB:  PubMed          Journal:  Faraday Discuss        ISSN: 1359-6640            Impact factor:   4.008


  5 in total

1.  Discrimination of basal cell carcinoma and melanoma from normal skin biopsies in vitro through Raman spectroscopy and principal component analysis.

Authors:  Benito Bodanese; Fabrício Luiz Silveira; Renato Amaro Zângaro; Marcos Tadeu T Pacheco; Carlos Augusto Pasqualucci; Landulfo Silveira
Journal:  Photomed Laser Surg       Date:  2012-06-13       Impact factor: 2.796

Review 2.  Paraconsistent analysis network applied in the treatment of Raman spectroscopy data to support medical diagnosis of skin cancer.

Authors:  João Inácio Da Silva Filho; Célio Vander Nunes; Dorotéa Vilanova Garcia; Mauricio Conceição Mario; Fábio Giordano; Jair Minoro Abe; Marcos Tadeu Tavares Pacheco; Landulfo Silveira
Journal:  Med Biol Eng Comput       Date:  2016-03-28       Impact factor: 2.602

3.  Correlation between METAVIR scores and Raman spectroscopy in liver lesions induced by hepatitis C virus: a preliminary study.

Authors:  Marcio Cesar Reino Gaggini; Ricardo Scarparo Navarro; Aline Reis Stefanini; Rubens Sato Sano; Landulfo Silveira
Journal:  Lasers Med Sci       Date:  2015-03-21       Impact factor: 3.161

Review 4.  Role of optical spectroscopic methods in neuro-oncological sciences.

Authors:  Maryam Bahreini
Journal:  J Lasers Med Sci       Date:  2015

Review 5.  Accuracy of Raman spectroscopy for differentiating skin cancer from normal tissue.

Authors:  Jing Zhang; Yimeng Fan; Yanlin Song; Jianguo Xu
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

  5 in total

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