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基于 LED 的用于人体肾脏肿瘤诊断的近红外传感器的研发与测试。

Development and Testing of an LED-Based Near-Infrared Sensor for Human Kidney Tumor Diagnostics.

机构信息

Art Photonics GmbH, Rudower Chaussee 46, 12489 Berlin, Germany.

Laboratory of Multivariate Analysis and Global Modeling, Samara State Technical University, Molodogvardeyskaya 244, 443100 Samara, Russia.

出版信息

Sensors (Basel). 2017 Aug 19;17(8):1914. doi: 10.3390/s17081914.

Abstract

Optical spectroscopy is increasingly used for cancer diagnostics. Tumor detection feasibility in human kidney samples using mid- and near-infrared (NIR) spectroscopy, fluorescence spectroscopy, and Raman spectroscopy has been reported (Artyushenko et al., Spectral fiber sensors for cancer diagnostics in vitro. In Proceedings of the European Conference on Biomedical Optics, Munich, Germany, 21-25 June 2015). In the present work, a simplification of the NIR spectroscopic analysis for cancer diagnostics was studied. The conventional high-resolution NIR spectroscopic method of kidney tumor diagnostics was replaced by a compact optical sensing device constructively represented by a set of four light-emitting diodes (LEDs) at selected wavelengths and one detecting photodiode. Two sensor prototypes were tested using 14 in vitro clinical samples of 7 different patients. Statistical data evaluation using principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) confirmed the general applicability of the LED-based sensing approach to kidney tumor detection. An additional validation of the results was performed by means of sample permutation.

摘要

光学光谱学越来越多地用于癌症诊断。已经有报道称,中近红外(NIR)光谱学、荧光光谱学和拉曼光谱学可用于检测人肾组织样本中的肿瘤(Artyushenko 等人,用于体外癌症诊断的光谱光纤传感器。在 2015 年 6 月 21 日至 25 日于德国慕尼黑举行的欧洲生物医学光学会议上的论文集)。在本工作中,研究了用于癌症诊断的 NIR 光谱分析的简化方法。用由一组在选定波长下工作的四个发光二极管(LED)和一个探测光电二极管构造的紧凑型光学传感装置替代了传统的高分辨率肾脏肿瘤诊断 NIR 光谱方法。使用来自 7 位不同患者的 14 个体外临床样本对两个传感器原型进行了测试。使用主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)的统计数据分析证实了基于 LED 的传感方法对肾脏肿瘤检测的普遍适用性。通过样本置换的方式对结果进行了额外验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/583f/5579832/c443af0dd68c/sensors-17-01914-g001.jpg

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