Vibrational spectroscopy: a clinical tool for cancer diagnostics

Kendall, Catherine; Isabelle, Martin; Bazant-Hegemark, Florian; Hutchings, Joanne; Orr, Linda; Babrah, Jaspreet; Baker, Rebecca; Stone, Nick

doi:10.1039/b822130h

Cited by 272 publications

(209 citation statements)

References 201 publications

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“…The higher signal levels achievable with FTIRM result in increased speed of measurement and consequently higher sample throughput over CRM [21]. The strengths of both are now well established in hyperspectral imaging for non-invasive and label-free histopathology [22][23][24][25][26][27][28][29][30], while the capabilities of CRM to detect tissue abnormalities in-vivo without the complication of contamination of spectral measurements by water and atmospheric features has resulted in a move to the development of clinical devices [31].…”

Section: Introductionmentioning

confidence: 99%

Spectroscopic and chemometric approaches to radiobiological analyses

Meade

Byrne²,

Lyng

2010

Mutation Research/Reviews in Mutation Research

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Vibrational spectroscopy is an attractive modality for the analysis of biological samples, providing a complete non-invasive acquisition of the biochemical fingerprint of the sample. It has been demonstrated that this data provides the means to assay multiple functional responses of a biological system at a spatial resolution as low as a micron within the sample. As the interaction of ionizing radiation with biological systems involves chemical reactions between the products of radiation induced damage and various structural and functional units within the cell, the vibrational spectroscopic modalities have received attention as potential measurement platforms for the in-situ examination of the chemistry of biological species in radiobiology. This presents challenges in relation to sample preparation and the construction of suitable analytical methodologies. In this work protocols for sample preparation and approaches to multivariate analysis of vibrational spectra in radiobiological analysis are detailed and the utility of the methodology in analyzing the evolution of biochemical responses to radiobiological damage are highlighted.

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Section: Introductionmentioning

confidence: 99%

Spectroscopic and chemometric approaches to radiobiological analyses

Meade

Byrne²,

Lyng

2010

Mutation Research/Reviews in Mutation Research

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“…Thus, FT-IR microimaging has demonstrated potential to provide clinically relevant diagnostic information in oncology. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] The biochemical changes related to carcinogenesis between cancerous and surrounding tissue areas are subtle. As a consequence, IR hyperspectral images need to be processed by powerful digital signal processing and pattern recognition methods in order to highlight these changes.…”

mentioning

confidence: 99%

Automation of an algorithm based on fuzzy clustering for analyzing tumoral heterogeneity in human skin carcinoma tissue sections

Sebiskveradze

Vrabie

Gobinet

et al. 2011

Laboratory Investigation

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This study aims to develop a new FT-IR spectral imaging of tumoral tissue permitting a better characterization of tumor heterogeneity and tumor/surrounding tissue interface. Infrared (IR) data were acquired on 13 biopsies of paraffin-embedded human skin carcinomas. Our approach relies on an innovative fuzzy C-means (FCM)-based clustering algorithm, allowing the automatic and simultaneous estimation of the optimal FCM parameters (number of clusters K and fuzziness index m). FCM seems more suitable than classical 'hard' clusterings, as it permits the assignment of each IR spectrum to every cluster with a specific membership value. This characteristic allows differentiating the nuances in the assignment of pixels, particularly those corresponding to tumoral tissue and those located at the tumor/peritumoral tissue interface. FCM images permit to highlight a marked heterogeneity within the tumor and characterize the interconnection between tissular structures. For the infiltrative tumors, a progressive gradient in the membership values of the pixels of the invasive front was also revealed.

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“…Raman spectroscopy has been demonstrated by numerous research groups to be a powerful tool for molecular analysis of disease 3,4,5 . The technique relies upon the phenomenon of inelastic scattering of laser light by molecules in the sample volume 6 .…”

Section: Raman Spectroscopymentioning

confidence: 99%

Developing fibre optic Raman probes for applications in clinical spectroscopy

et al. 2016

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Raman spectroscopy has been shown by various groups over the last two decades to have significant capability in discriminating disease states in bodily fluids, cells and tissues. Recent development in instrumentation, optics and manufacturing approaches has facilitated the design and demonstration of various novel in vivo probes, which have applicability for myriad of applications. This review focusses on key considerations and recommendations for application specific clinical Raman probe design and construction. Raman probes can be utilised as clinical tools able to provide rapid, non-invasive, real-time molecular analysis of disease specific changes in tissues. Clearly the target tissue location, the significiance of spectral changes with disease and the possible access routes to the region of interest will vary for each clinical application considered. This review provides insight into design and construction considerations, including suitable probe designs and manufacturing materials compatible with Raman spectroscopy.

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Vibrational spectroscopy: a clinical tool for cancer diagnostics

Cited by 272 publications

References 201 publications

Spectroscopic and chemometric approaches to radiobiological analyses

Spectroscopic and chemometric approaches to radiobiological analyses

Automation of an algorithm based on fuzzy clustering for analyzing tumoral heterogeneity in human skin carcinoma tissue sections

Developing fibre optic Raman probes for applications in clinical spectroscopy

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