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The road map towards providing a robust Raman spectroscopy-based cancer diagnostic platform and integration into clinic

机译:提供强大的基于拉曼光谱的癌症诊断平台并将其集成到临床的路线图

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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.
机译:尽管已显示出作为准确的癌症诊断工具的潜力,但拉曼光谱法(RS)尚未被临床采用以进行组织病理学检查。通过高级拉曼技术(SMART)联盟进行的分层医学已经开始解决其在癌症诊断中的应用所面临的一些障碍。这些障碍包括对技术的认识和接受,与组织病理学工作流程集成的实用性,数据可再现性和可转移模型的可用性。我们已联合组成一个财团,以开发用于组织样品制备,数据收集和分析的优化方案。这些协议将通过提供适当的硬件和软件工具得到支持,以允许建立统计上合理的分类模型并将其传输以在不同系统上使用。此外,我们正在构建一个经过验证的胃肠道(GI)癌症模型,该模型可以作为医院组织病理学工作流程的一部分进行试用,并可以用作分类工具。在项目结束时,我们旨在提供一个基于拉曼的强大诊断平台,以使临床研究人员能够分期癌症,定义肿瘤边缘,建立癌症诊断模型并发现新型疾病生物标记。

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