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.
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 (Presented at SPIE BiOS: February 13, 2016; Published: 7 March 2016); https://doi.org/10.1117/12.2230007.
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