Literature DB >> 15935560

Discriminating nevus and melanoma on paraffin-embedded skin biopsies using FTIR microspectroscopy.

Ali Tfayli1, Olivier Piot, Anne Durlach, Philippe Bernard, Michel Manfait.   

Abstract

FTIR microspectroscopy, in combination with cluster analysis, has been used to characterise skin tissues, in order to discriminate cancerous from non-cancerous ones. The main objective of this in vitro study was to demonstrate the applicability of infrared spectral imaging to separate, on paraffinised biopsies, pigmented nevi (benign skin lesions) from melanomas (malignant skin lesions). Infrared spectra were collected from paraffin-embedded samples of nevi and melanomas, without deparaffinisation. Despite the important contribution of the paraffin in these spectra, it was possible to find meaningful and discriminating spectral regions. Spectral imaging was first performed to localize different skin layers (dermis and epidermis). Spectra extracted from the images were subjected to hierarchical classification algorithm, which allowed the discrimination of melanomas from the nevi, using selected spectral windows that correspond to vibrations of DNA and melanin content. The diversity of skin lesions and direct accessibility to the skin make this organ an interesting field of investigation using this technique.

Entities:  

Mesh:

Year:  2005        PMID: 15935560     DOI: 10.1016/j.bbagen.2005.04.020

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  14 in total

1.  Distinguishing cell types or populations based on the computational analysis of their infrared spectra.

Authors:  Francis L Martin; Jemma G Kelly; Valon Llabjani; Pierre L Martin-Hirsch; Imran I Patel; Júlio Trevisan; Nigel J Fullwood; Michael J Walsh
Journal:  Nat Protoc       Date:  2010-10-07       Impact factor: 13.491

2.  Renal Graft Fibrosis and Inflammation Quantification by an Automated Fourier-Transform Infrared Imaging Technique.

Authors:  Vincent Vuiblet; Michael Fere; Cyril Gobinet; Philippe Birembaut; Olivier Piot; Philippe Rieu
Journal:  J Am Soc Nephrol       Date:  2015-12-18       Impact factor: 10.121

3.  Fourier transform infrared microspectroscopy as a diagnostic tool for distinguishing between normal and malignant human gastric tissue.

Authors:  Abasalt Hosseinzadeh Colagar; Mohammad Javad Chaichi; Tahereh Khadjvand
Journal:  J Biosci       Date:  2011-09       Impact factor: 1.826

4.  Characterization of tumor progression in engineered tissue using infrared spectroscopic imaging.

Authors:  Rong Kong; Rohith K Reddy; Rohit Bhargava
Journal:  Analyst       Date:  2010-05-25       Impact factor: 4.616

5.  Application of metasurface-enhanced infra-red spectroscopy to distinguish between normal and cancerous cell types.

Authors:  G Kelp; N Arju; A Lee; E Esquivel; R Delgado; Y Yu; S Dutta-Gupta; K Sokolov; G Shvets
Journal:  Analyst       Date:  2019-01-31       Impact factor: 4.616

6.  FTIR Microspectroscopy Coupled with Two-Class Discrimination Segregates Markers Responsible for Inter- and Intra-Category Variance in Exfoliative Cervical Cytology.

Authors:  Michael J Walsh; Maneesh N Singh; Helen F Stringfellow; Hubert M Pollock; Azzedine Hammiche; Olaug Grude; Nigel J Fullwood; Mark A Pitt; Pierre L Martin-Hirsch; Francis L Martin
Journal:  Biomark Insights       Date:  2008-03-25

Review 7.  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

8.  Comparison of multivariate analysis methods for extracting the paraffin component from the paraffin-embedded cancer tissue spectra for Raman imaging.

Authors:  Phiranuphon Meksiarun; Mika Ishigaki; Verena A C Huck-Pezzei; Christian W Huck; Kanet Wongravee; Hidetoshi Sato; Yukihiro Ozaki
Journal:  Sci Rep       Date:  2017-03-22       Impact factor: 4.379

9.  An Infrared Absorbance Sensor for the Detection of Melanoma in Skin Biopsies.

Authors:  Valeria Fioravanti; Lukas Brandhoff; Sander van den Driesche; Heimo Breiteneder; Melitta Kitzwögerer; Christine Hafner; Michael J Vellekoop
Journal:  Sensors (Basel)       Date:  2016-10-10       Impact factor: 3.576

10.  Emerging technologies for the detection of melanoma: achieving better outcomes.

Authors:  Cila Herman
Journal:  Clin Cosmet Investig Dermatol       Date:  2012-11-12
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