Potential for Raman Spectroscopy to Provide Cancer Screening Using a Peripheral Blood Sample
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @Article{Harris:2009:HNO,
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author = "Andrew T. Harris and Anxhela Lungari and
Christopher J. Needham and Stephen L. Smith and
Michael A. Lones and Sheila E. Fisher and Xuebin Yang and
Nicola Cooper and Jennifer Kirkham and D. Alastair Smith and
Dominic P. Martin-Hirsch and Alec S. High",
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title = "Potential for Raman Spectroscopy to Provide Cancer
Screening Using a Peripheral Blood Sample",
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journal = "Head \& Neck Oncology",
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year = "2009",
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volume = "1",
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pages = "34",
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month = sep,
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.headandneckoncology.org/content/1/1/34",
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DOI = "doi:10.1186/1758-3284-1-34",
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pubmedid = "19761601",
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ISSN = "1758-3284",
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abstract = "Cancer poses a massive health burden with incidence
rates expected to double globally over the next decade.
In the United Kingdom screening programmes exists for
cervical, breast, and colorectal cancer. The ability to
screen individuals for solid malignant tumours using
only a peripheral blood sample would revolutionise
cancer services and permit early diagnosis and
intervention. Raman spectroscopy interrogates native
biochemistry through the interaction of light with
matter, producing a high definition biochemical
'fingerprint' of the target material. This paper
explores the possibility of using Raman spectroscopy to
discriminate between cancer and non-cancer patients
through a peripheral blood sample. Forty blood samples
were obtained from patients with Head and Neck cancer
and patients with respiratory illnesses to act as a
positive control. Raman spectroscopy was carried out on
all samples with the resulting spectra being used to
build a classifier in order to distinguish between the
cancer and respiratory patients' spectra; firstly using
principal component analysis (PCA)/linear discriminant
analysis (LDA), and secondly with a genetic
evolutionary algorithm. The PCA/LDA classifier gave a
65percent sensitivity and specificity for
discrimination between the cancer and respiratory
groups. A sensitivity score of 75percent with a
specificity of 75percent was achieved with a 'trained'
evolutionary algorithm. In conclusion this preliminary
study has demonstrated the feasibility of using Raman
spectroscopy in cancer screening and diagnostics of
solid tumours through a peripheral blood sample.
Further work needs to be carried out for this technique
to be implemented in the clinical setting.",
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notes = "Also known as \cite{19761601}",
- }
Genetic Programming entries for
Andrew T Harris
Anxhela Lungari
Christopher J Needham
Stephen L Smith
Michael A Lones
Sheila E Fisher
Xuebin Yang
Nicola Cooper
Jennifer Kirkham
D Alastair Smith
Dominic P Martin-Hirsch
Alec S High
Citations