通过呼出气体和尿液样本中的电子传感设备检测哥伦比亚患者的前列腺癌

IF 3.7 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
C. M. Durán Acevedo, J. K. Carrillo Gómez, C. A. Cuastumal Vasquez, José Ramos
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引用次数: 0

摘要

这项工作包括一项利用基于电子舌和电子鼻系统的电子感应设备检测前列腺癌的研究。因此,研究人员邀请了两组确诊前列腺癌患者和对照组患者通过尿液和呼出气体样本参与研究,其中对照组患者被分为良性前列腺增生、前列腺炎和健康患者。随后,使用模式识别和机器学习方法对样本进行分类,并通过临床病史对结果进行比较,结果显示,使用 eTongue 对 PCa 和对照组样本进行分类的成功率为 92.9%,而使用 eNose 进行分类的成功率为 100%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prostate Cancer Detection in Colombian Patients through E-Senses Devices in Exhaled Breath and Urine Samples
This work consists of a study to detect prostate cancer using E-senses devices based on electronic tongue and electronic nose systems. Therefore, two groups of confirmed prostate cancer and control patients were invited to participate through urine and exhaled breath samples, where the control patients group was categorized as Benign Prostatic Hyperplasia, Prostatitis, and Healthy patients. Afterward, the samples were subsequently classified using Pattern Recognition and machine learning methods, where the results were compared through clinical history, obtaining a 92.9% success rate in the PCa and control samples’ classification accuracy by using eTongue and a 100% success rate of classification using eNose.
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来源期刊
Chemosensors
Chemosensors Chemistry-Analytical Chemistry
CiteScore
5.00
自引率
9.50%
发文量
450
审稿时长
11 weeks
期刊介绍: Chemosensors (ISSN 2227-9040; CODEN: CHEMO9) is an international, scientific, open access journal on the science and technology of chemical sensors published quarterly online by MDPI.The journal is indexed in Scopus, SCIE (Web of Science), CAPlus / SciFinder, Inspec, Engineering Village and other databases.
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