The detection of patients at risk of gastrointestinal toxicity during pelvic radiotherapy by electronic nose and FAIMS: a pilot study.
The detection of patients at risk of gastrointestinal toxicity during pelvic radiotherapy by electronic nose and FAIMS: a pilot study.
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DOI：
10.3390/s121013002
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发表时间：
2012-09-26
期刊：
影响因子：
--
通讯作者：
Arasaradnam RP
中科院分区：
文献类型：
--
作者：
Covington JA;Wedlake L;Andreyev J;Ouaret N;Thomas MG;Nwokolo CU;Bardhan KD;Arasaradnam RP
众所周知，电子鼻可以用来识别一系列疾病的人类健康和疾病之间的差异。我们提出了一项试验性研究，以调查电子鼻和一种较新的技术FAIMS(场不对称离子迁移率光谱)是否可以用于识别和帮助告知接受盆腔放射治疗的患者的治疗路径，盆腔放射治疗经常会导致胃肠道副作用，某些情况下会很严重。从一个更大的组中，选择了23名放射治疗患者，其中一半的人毒性最高，其他人的毒性最低。在放疗前和放疗后四周分别采集粪便样本，并用这两种方法分析所排出的挥发物和气体；这些化学物质是由肠道微生物群引起的发酵产物。电子鼻数据的主成分分析和小波变换以及FAIMS数据的Fisher判别分析表明，根据患者的毒性水平来区分治疗后的患者是可能的。更有趣的是，在他们的治疗前样本中也发现了差异。我们认为，这些模式是由于肠道微生物区系的差异造成的，其中一些细菌的组合导致了这种嗅觉特征。在未来，我们的方法可能会产生一种技术，即使在开始放射治疗之前，也可以帮助识别处于“高风险”的患者。
It is well known that the electronic nose can be used to identify differences between human health and disease for a range of disorders. We present a pilot study to investigate if the electronic nose and a newer technology, FAIMS (Field Asymmetric Ion Mobility Spectrometry), can be used to identify and help inform the treatment pathway for patients receiving pelvic radiotherapy, which frequently causes gastrointestinal side-effects, severe in some. From a larger group, 23 radiotherapy patients were selected where half had the highest levels of toxicity and the others the lowest. Stool samples were obtained before and four weeks after radiotherapy and the volatiles and gases emitted analysed by both methods; these chemicals are products of fermentation caused by gut microflora. Principal component analysis of the electronic nose data and wavelet transform followed by Fisher discriminant analysis of FAIMS data indicated that it was possible to separate patients after treatment by their toxicity levels. More interestingly, differences were also identified in their pre-treatment samples. We believe these patterns arise from differences in gut microflora where some combinations of bacteria result to give this olfactory signature. In the future our approach may result in a technique that will help identify patients at “high risk” even before radiation treatment is started.
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