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用于苏丹口腔鳞状细胞癌检测的便携式电子鼻的可行性

Feasibility of a Portable Electronic Nose for Detection of Oral Squamous Cell Carcinoma in Sudan.

作者信息

Mohamed Nazar, van de Goor Rens, El-Sheikh Mariam, Elrayah Osman, Osman Tarig, Nginamau Elisabeth Sivy, Johannessen Anne Christine, Suleiman Ahmed, Costea Daniela Elena, Kross Kenneth W

机构信息

Center for Cancer Biomarkers (CCBIO) and Gade Laboratory for Pathology, Department of Clinical Medicine, University of Bergen, P.O. Box 7800, 5020 Bergen, Norway.

Center for International Health (CIH), University of Bergen, P.O. Box 7800, 5020 Bergen, Norway.

出版信息

Healthcare (Basel). 2021 May 3;9(5):534. doi: 10.3390/healthcare9050534.

DOI:10.3390/healthcare9050534
PMID:34063592
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8147635/
Abstract

BACKGROUND

Oral squamous cell carcinoma (OSCC) is increasing at an alarming rate particularly in low-income countries. This urges for research into noninvasive, user-friendly diagnostic tools that can be used in limited-resource settings. This study aims to test and validate the feasibility of e-nose technology for detecting OSCC in the limited-resource settings of the Sudanese population.

METHODS

Two e-nose devices (Aeonose™, eNose Company, Zutphen, The Netherlands) were used to collect breath samples from OSCC ( = 49) and control ( = 35) patients. Patients were divided into a training group for building an artificial neural network (ANN) model and a blinded control group for model validation. The Statistical Package for the Social Sciences (SPSS) software was used for the analysis of baseline characteristics and regression. Aethena proprietary software was used for data analysis using artificial neural networks based on patterns of volatile organic compounds.

RESULTS

A diagnostic accuracy of 81% was observed, with 88% sensitivity and 71% specificity.

CONCLUSIONS

This study demonstrates that e-nose is an efficient tool for OSCC detection in limited-resource settings, where it offers a valuable cost-effective strategy to tackle the burden posed by OSCC.

摘要

背景

口腔鳞状细胞癌（OSCC）的发病率正以惊人的速度上升，尤其是在低收入国家。这促使人们研究可在资源有限的环境中使用的无创、用户友好型诊断工具。本研究旨在测试和验证电子鼻技术在苏丹人群资源有限的环境中检测OSCC的可行性。

方法

使用两台电子鼻设备（Aeonose™，eNose公司，荷兰聚特芬）从OSCC患者（n = 49）和对照组（n = 35）收集呼吸样本。患者被分为用于构建人工神经网络（ANN）模型的训练组和用于模型验证的盲法对照组。使用社会科学统计软件包（SPSS）对基线特征和回归进行分析。使用雅典娜专有软件基于挥发性有机化合物模式通过人工神经网络进行数据分析。

结果

观察到诊断准确率为81%，灵敏度为88%，特异性为71%。

结论

本研究表明，电子鼻是在资源有限的环境中检测OSCC的有效工具，它提供了一种有价值的性价比高的策略来应对OSCC带来的负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a84a/8147635/4fd069462667/healthcare-09-00534-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a84a/8147635/bb6d1a08df69/healthcare-09-00534-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a84a/8147635/f5eb939dd006/healthcare-09-00534-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a84a/8147635/4fd069462667/healthcare-09-00534-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a84a/8147635/bb6d1a08df69/healthcare-09-00534-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a84a/8147635/f5eb939dd006/healthcare-09-00534-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a84a/8147635/0faf4f4c6971/healthcare-09-00534-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a84a/8147635/7c9fe056aaaf/healthcare-09-00534-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a84a/8147635/4fd069462667/healthcare-09-00534-g005.jpg

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