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Development and application of a new electronic nose instrument for the detection of colorectal cancer

机译:新型大肠癌电子鼻诊仪的研制与应用

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摘要

Colorectal cancer is a leading cause of cancer death in the USA and Europe with symptoms that mimick other far more common lower gastrointestinal (GI) disorders. This difficulty in separating colorectal cancer from these other diseases has driven researchers to search for an effective, non-invasive screening technique. Current state-of-the-art method of Faecal Immunochemical Testing achieving sensitivity similar to 90%, unfortunately the take-up in the western world is low due to the low patient acceptability of stool samples. However, a wide range of cancers have been distinguished from each-other and healthy controls by detecting the gas/volatile content emanating patient biological media. Dysbiosis afforded by certain disease states may be expressed in the volatile content of urine - a reflection of the gut bacteria's metabolic processes. A new electronic nose instrument was developed at the University of Warwick to measure the gas/volatile content of urine headspace, based on an array of 13 commercial electro-chemical and optical sensors. An experimental setup was arranged for a cohort of 92 urine samples from patients of colorectal cancer (CRC), irritable bowel syndrome (IBS) and controls to be run through the machine. Features were extracted from response data and used in Linear Discriminant Analysis (LDA) plots, including a full 3-disease classification and one focussing on distinguishing CRC from IBS. The latter case was tested by the success of re-classification using an (n - 1) K-nearest neighbour algorithm, showing 78% sensitivity and 79% specificity to CRC. (C) 2014 Elsevier B.V. All rights reserved.
机译:在美国和欧洲,结直肠癌是导致癌症死亡的主要原因,其症状与其他更为常见的下消化道(GI)疾病相似。结肠直肠癌与其他疾病的分离困难促使研究人员寻找一种有效的,非侵入性的筛查技术。目前最先进的粪便免疫化学测试方法可实现接近90%的灵敏度,不幸的是,由于患者粪便样本的可接受性低,西方国家的吸收率很低。但是,通过检测散发患者生物介质的气体/挥发物含量,已将多种癌症与其他对照和健康对照区分开来。某些疾病引起的营养不良可能表现为尿液中的挥发性成分-反映肠道细菌的代谢过程。华威大学开发了一种新的电子鼻部仪器,它基于13种商业电化学和光学传感器阵列,用于测量尿液顶空的气体/挥发物含量。安排了一个实验装置,用于从大肠癌(CRC),肠易激综合症(IBS)和对照中提取的92个尿液样本进行分析。从响应数据中提取特征,并将其用于线性判别分析(LDA)图,包括完整的3病分类和一个集中于区分CRC和IBS的特征。后一种情况通过使用(n-1)个K近邻算法成功进行重新分类进行了测试,显示出对CRC的敏感性为78%,特异性为79%。 (C)2014 Elsevier B.V.保留所有权利。

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