Presentation + Paper
7 March 2016 The road map towards providing a robust Raman spectroscopy-based cancer diagnostic platform and integration into clinic
Katherine Lau, Martin Isabelle, Gavin R. Lloyd, Oliver Old, Neil Shepherd, Ian M. Bell, Jennifer Dorney, Aaran Lewis, Riana Gaifulina, Manuel Rodriguez-Justo, Catherine Kendall, Nicolas Stone, Geraint Thomas, David Reece
Author Affiliations +
Abstract
Despite the demonstrated potential as an accurate cancer diagnostic tool, Raman spectroscopy (RS) is yet to be adopted by the clinic for histopathology reviews. The Stratified Medicine through Advanced Raman Technologies (SMART) consortium has begun to address some of the hurdles in its adoption for cancer diagnosis. These hurdles include awareness and acceptance of the technology, practicality of integration into the histopathology workflow, data reproducibility and availability of transferrable models. We have formed a consortium, in joint efforts, to develop optimised protocols for tissue sample preparation, data collection and analysis. These protocols will be supported by provision of suitable hardware and software tools to allow statistically sound classification models to be built and transferred for use on different systems. In addition, we are building a validated gastrointestinal (GI) cancers model, which can be trialled as part of the histopathology workflow at hospitals, and a classification tool. At the end of the project, we aim to deliver a robust Raman based diagnostic platform to enable clinical researchers to stage cancer, define tumour margin, build cancer diagnostic models and discover novel disease bio markers.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Katherine Lau, Martin Isabelle, Gavin R. Lloyd, Oliver Old, Neil Shepherd, Ian M. Bell, Jennifer Dorney, Aaran Lewis, Riana Gaifulina, Manuel Rodriguez-Justo, Catherine Kendall, Nicolas Stone, Geraint Thomas, and David Reece "The road map towards providing a robust Raman spectroscopy-based cancer diagnostic platform and integration into clinic", Proc. SPIE 9704, Biomedical Vibrational Spectroscopy 2016: Advances in Research and Industry, 97040B (7 March 2016); https://doi.org/10.1117/12.2230007
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Cited by 1 scholarly publication.
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KEYWORDS
Raman spectroscopy

Tissues

Cancer

Diagnostics

Remote sensing

Data modeling

Tumor growth modeling

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