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Assessing Dysplasia of a Bronchial Biopsy with FTIR Spectroscopic Imaging

Foreman, L; Kimber, JA; Oliver, KV; Brown, JM; Janes, SM; Fearn, T; Kazarian, SG; (2015) Assessing Dysplasia of a Bronchial Biopsy with FTIR Spectroscopic Imaging. In: Cote, GL, (ed.) The Proceedings of Optical Diagnostics and Sensing XV: Toward Point-of-Care Diagnostics. SPIE - The International Society for Optical Engineering Green open access

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Abstract

An FTIR image of an 8 µm section of de-paraffinised bronchial biopsy that shows a histological transition from normal to severe dysplasia/squamous cell carcinoma (SCC) insitu was obtained in transmission by stitching together images of 256 x 256 µm recorded using a 96 x 96 element FPA detector. Each pixel spectrum was calculated from 128 co-added interferograms at 4 cm−1 resolution. In order to improve the signal to noise ratio, blocks of 4x4 adjacent pixels were subsequently averaged. Analyses of this spectral image, after conversion of the spectra to their second derivatives, show that the epithelium and the lamina propria tissue types can be distinguished using the area of troughs at either 1591, 1334, 1275 or 1215 cm−1 or, more effectively, by separation into two groups by hierarchical clustering (HCA) of the 1614-1465 region. Due to an insufficient signal to noise ratio, disease stages within the image could not be distinguished with this extent of pixel averaging. However, after separation of the cell types, disease stages within either the epithelium or the lamina propria could be distinguished if spectra were averaged from larger, manually selected areas of the tissue. Both cell types reveal spectral differences that follow a transition from normal to cancerous histology. For example, spectral changes that occurred in the epithelium over the transition from normal to carcinoma insitu could be seen in the 1200-1000 cm−1 region, particularly as a decrease in the second derivative troughs at 1074 and 1036 cm−1 , consistent with changes in some form of carbohydrate. Spectral differences that indicate a disease transition from normal to carcinoma in the lamina propria could be seen in the 1350-1175 cm−1 and 1125-1030 cm−1 regions. Thus demonstrating that a progression from healthy to severe dysplasia/squamous cell carcinoma (SCC) insitu can be seen using FTIR spectroscopic imaging and multivariate analysis.

Type: Proceedings paper
Title: Assessing Dysplasia of a Bronchial Biopsy with FTIR Spectroscopic Imaging
Event: Optical Diagnostics and Sensing XV: Toward Point-of-Care Diagnostics
Location: San Francisco, CA, USA
Dates: 07 February 2015
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2078966
Publisher version: http://dx.doi.org/10.1117/12.2078966
Language: English
Additional information: © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Keywords: Science & Technology, Physical Sciences, Life Sciences & Biomedicine, Optics, Radiology, Nuclear Medicine & Medical Imaging, FTIR spectroscopic imaging, FTIR, lung cancer, bronchial tissue, multivariate analysis, TRANSFORM-INFRARED-SPECTROSCOPY, LUNG-CANCER, DIAGNOSTIC-TOOL, SPECTRA, TISSUE
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Respiratory Medicine
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/1488501
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