Issue 3, 2008

Distinction of malignant melanoma and epidermis using IR micro-spectroscopy and statistical methods

Abstract

Infrared spectroscopy is widely perceived as a future technology for cancer detection and grading. Malignant melanoma, an aggressive skin cancer, is accessible to non-invasive IR radiation based surface probes for its identification and grading. The present work examines the differences in the IR spectra of melanoma tissues and the surrounding epidermis in skin biopsies with the objective of identifying diagnostic parameters and suitable computational/statistical methods of analysis. Melanoma could be differentiated from the epidermis in biopsies of 55 patients, using parameters derived from absorbance bands originating from molecular vibrations of nucleic acids and/or their bases. Additionally, absorbances from tyrosine and phosphate that are abnormally elevated in malignant melanoma could be used as markers. Two-dimensional plots of these parameters in tandem with advanced statistical methods successfully demonstrate the potential of IR spectroscopy to distinguish between epidermal and melanoma regions with a high classification success. The work underlines the importance of developing data analysis methods in FTIR based diagnosis using melanoma as a model system.

Graphical abstract: Distinction of malignant melanoma and epidermis using IR micro-spectroscopy and statistical methods

Article information

Article type
Paper
Submitted
06 Aug 2007
Accepted
19 Dec 2007
First published
16 Jan 2008

Analyst, 2008,133, 372-378

Distinction of malignant melanoma and epidermis using IR micro-spectroscopy and statistical methods

Z. Hammody, S. Argov, R. K. Sahu, E. Cagnano, R. Moreh and S. Mordechai, Analyst, 2008, 133, 372 DOI: 10.1039/B712040K

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements