WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.
ClinSpec Diagnostics Limited, University of Strathclyde, Technology and Innovation Centre, 99 George Street, Glasgow, G1 1RD, UK.
Nat Commun. 2019 Oct 8;10(1):4501. doi: 10.1038/s41467-019-12527-5.
Non-specific symptoms, as well as the lack of a cost-effective test to triage patients in primary care, has resulted in increased time-to-diagnosis and a poor prognosis for brain cancer patients. A rapid, cost-effective, triage test could significantly improve this patient pathway. A blood test using attenuated total reflection (ATR)-Fourier transform infrared (FTIR) spectroscopy for the detection of brain cancer, alongside machine learning technology, is advancing towards clinical translation. However, whilst the methodology is simple and does not require extensive sample preparation, the throughput of such an approach is limited. Here we describe the development of instrumentation for the analysis of serum that is able to differentiate cancer and control patients at a sensitivity and specificity of 93.2% and 92.8%. Furthermore, preliminary data from the first prospective clinical validation study of its kind are presented, demonstrating how this innovative technology can triage patients and allow rapid access to imaging.
非特异性症状，以及缺乏在初级保健中对患者进行有效分诊的检测手段，导致脑癌患者的诊断时间延长和预后不良。一种快速、经济有效的分诊检测手段可以显著改善这一患者治疗途径。一种使用衰减全反射（ATR）-傅里叶变换红外（FTIR）光谱学检测脑癌的血液检测方法，结合机器学习技术，正在向临床转化推进。然而，尽管该方法简单，且不需要广泛的样本制备，但这种方法的通量有限。在这里，我们描述了一种用于分析血清的仪器的开发，该仪器能够以 93.2%和 92.8%的灵敏度和特异性区分癌症患者和对照患者。此外，还介绍了首例此类前瞻性临床验证研究的初步数据，展示了这项创新技术如何对患者进行分诊，并允许快速进行成像检查。
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