Open Access
1 March 2010 Raman microscopy in the diagnosis and prognosis of surgically resected nonsmall cell lung cancer
Nicholas David Magee, James Renwick Beattie, Chris Carland, Richard Davis, Kieran McManus, Ian Bradbury, Dean Andrew Fennell, Peter Hamilton, Madeleine Ennis, John Joseph McGarvey, Joseph Stuart Elborn M.D.
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Abstract
The main curative therapy for patients with nonsmall cell lung cancer is surgery. Despite this, the survival rate is only 50%, therefore it is important to more efficiently diagnose and predict prognosis for lung cancer patients. Raman spectroscopy is useful in the diagnosis of malignant and premalignant lesions. The aim of this study is to investigate the ability of Raman microscopy to diagnose lung cancer from surgically resected tissue sections, and predict the prognosis of these patients. Tumor tissue sections from curative resections are mapped by Raman microscopy and the spectra analzsed using multivariate techniques. Spectra from the tumor samples are also compared with their outcome data to define their prognostic significance. Using principal component analysis and random forest classification, Raman microscopy differentiates malignant from normal lung tissue. Principal component analysis of 34 tumor spectra predicts early postoperative cancer recurrence with a sensitivity of 73% and specificity of 74%. Spectral analysis reveals elevated porphyrin levels in the normal samples and more DNA in the tumor samples. Raman microscopy can be a useful technique for the diagnosis and prognosis of lung cancer patients receiving surgery, and for elucidating the biochemical properties of lung tumors.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Nicholas David Magee, James Renwick Beattie, Chris Carland, Richard Davis, Kieran McManus, Ian Bradbury, Dean Andrew Fennell, Peter Hamilton, Madeleine Ennis, John Joseph McGarvey, and Joseph Stuart Elborn M.D. "Raman microscopy in the diagnosis and prognosis of surgically resected nonsmall cell lung cancer," Journal of Biomedical Optics 15(2), 026015 (1 March 2010). https://doi.org/10.1117/1.3323088
Published: 1 March 2010
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Cited by 41 scholarly publications.
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KEYWORDS
Raman spectroscopy

Lung cancer

Microscopy

Tumors

Tissues

Principal component analysis

Lung

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