Fourier Transform Infrared Spectroscopy (FTIR) has been largely employed by scientific researchers to improve diagnosis and treatment of cancer, using various biofluids and tissues. The technology has proved to be easy to use, rapid and cost-effective for analysis on human blood serum to discriminate between cancer versus healthy control samples. The high sensitivity and specificity achievable during samples classification aided by machine learning algorithms, offers an opportunity to transform cancer referral pathways, as it has been demonstrated in a unique and recent prospective clinical validation study on brain tumours. We herein highlight the importance of early detection in cancer research using FTIR, discussing the technique, the suitability of serum for analysis and previous studies, with special focus on pre-clinical factors and clinical translation requirements and development.

中文翻译：

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通过FTIR光谱进行生物流体诊断：癌症检测的平台技术。

科学研究人员已广泛使用傅立叶变换红外光谱（FTIR），以使用各种生物流体和组织来改善癌症的诊断和治疗。事实证明，该技术易于使用，快速且具有成本效益，可用于分析人体血清以区分癌症样品与健康对照样品。机器学习算法辅助的样本分类过程中可获得的高灵敏度和特异性，为改变癌症转诊途径提供了机会，这已在一项针对脑肿瘤的独特且近期的前瞻性临床验证研究中得到证明。我们在此强调使用FTIR在癌症研究中进行早期检测的重要性，讨论该技术，血清是否适合分析以及以前的研究，