Literature DB >> 19149580

Development and application of Fourier-transform infrared chemical imaging of tumour in human tissue.

C H Petter1, N Heigl, M Rainer, R Bakry, J Pallua, G K Bonn, C W Huck.   

Abstract

Fourier-transform infrared (FT-IR) based mapping and imaging is a fast emerging technology which is being increasingly applied to investigate tissues in the high-throughput mode. The high resolution close to the cellular level, the possibility to determine the bio-distribution of molecules of interest (proteins, peptides, lipids, carbohydrates) without any pre-treatment and the offer to yield molecular structure information have brought evidence that this technique allows to gain new insights in cancer pathology. Thus, several individual mainly protein and peptide cancer markers ("biomarkers") can be identified from FT-IR tissue images, enabling accurate discrimination between healthy and tumour areas. Optimal data acquisition (spatial resolution, spectral resolution, signal to noise ratio), classification, and validation are necessary to establish practical protocols that can be translated to the qualitative and quantitative clinical routine analysis. Thereby, the development of modern fast infrared imaging systems has strongly supported its acceptance in clinical histopathology. In this review, the necessity of analysis based on global cancer statistics, instrumental setups and developments, experimental state of the art are summarised and applications to investigate different kinds of cancer (e.g., prostate, breast, cervical, colon, oral cavity) are shown and discussed in detail.

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Year:  2009        PMID: 19149580     DOI: 10.2174/092986709787002664

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  8 in total

1.  Application of linear discriminant analysis and Attenuated Total Reflectance Fourier Transform Infrared microspectroscopy for diagnosis of colon cancer.

Authors:  Mohammadreza Khanmohammadi; Amir Bagheri Garmarudi; Simin Samani; Keyvan Ghasemi; Ahmad Ashuri
Journal:  Pathol Oncol Res       Date:  2010-12-31       Impact factor: 3.201

2.  Spectral diagnosis and analysis of a superior vesical artery calcification.

Authors:  Ted Hueih-Shing Hsu; Shan-Yang Lin; Chih-Cheng Lin; Wen-Ting Cheng; Mei-Jane Li
Journal:  Urol Res       Date:  2009-06-16

Review 3.  Vibrational spectroscopic mapping and imaging of tissues and cells.

Authors:  Elizabeth A Carter; Koman K Tam; Robert S Armstrong; Peter A Lay
Journal:  Biophys Rev       Date:  2009-06-23

4.  Infrared spectroscopy and microscopy in cancer research and diagnosis.

Authors:  Giuseppe Bellisola; Claudio Sorio
Journal:  Am J Cancer Res       Date:  2011-11-22       Impact factor: 6.166

5.  Raman spectroscopic methods for classification of normal and malignant hypopharyngeal tissues: an exploratory study.

Authors:  Parul Pujary; K Maheedhar; C Murali Krishna; Kailesh Pujary
Journal:  Patholog Res Int       Date:  2011-07-24

Review 6.  Extracting knowledge from chemical imaging data using computational algorithms for digital cancer diagnosis.

Authors:  Saumya Tiwari; Rohit Bhargava
Journal:  Yale J Biol Med       Date:  2015-06-01

7.  Amalgam tattoo versus melanocytic neoplasm - Differential diagnosis of dark pigmented oral mucosa lesions using infrared spectroscopy.

Authors:  Johannes Laimer; Raphael Henn; Tom Helten; Susanne Sprung; Bettina Zelger; Bernhard Zelger; René Steiner; Dagmar Schnabl; Vincent Offermanns; Emanuel Bruckmoser; Christian W Huck
Journal:  PLoS One       Date:  2018-11-06       Impact factor: 3.240

8.  Application of mid-infrared (MIR) microscopy imaging for discrimination between follicular hyperplasia and follicular lymphoma in transgenic mice.

Authors:  C Woess; M Drach; A Villunger; R Tappert; R Stalder; J D Pallua
Journal:  Analyst       Date:  2015-09-21       Impact factor: 4.616

  8 in total

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