Electronic-Nose Technology for Lung Cancer Detection: A Non-Invasive Diagnostic Revolution.

IF 4.6 2区 医学 Q1 RESPIRATORY SYSTEM
Lung Pub Date : 2025-07-08 DOI:10.1007/s00408-025-00828-0
A M Dhanush Gowda, Akanksha D Dessai, Usha Y Nayak
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引用次数: 0

Abstract

Background: Lung cancer (LC) remains a leading cause of cancer-related mortality worldwide, primarily due to late-stage diagnosis and the absence of effective early detection methods.

Objective: This review aims to explore the principles, technological advancements, current limitations, and future prospects of electronic nose (E-nose) systems in the early detection of lung cancer.

Methods: The review analyzes recent literature on E-nose devices that detect volatile organic compounds (VOCs) in exhaled breath, focusing on their integration with artificial intelligence (AI) and machine learning for pattern recognition and diagnostic classification.

Results: E-noses have demonstrated high sensitivity and specificity in differentiating cancerous from non-cancerous breath samples. However, challenges such as sensor stability, lack of standardization in breath collection, demographic variability, and the need for large training datasets for AI models limit their clinical adoption.

Conclusion: Despite current limitations, E-nose technology shows strong potential as a rapid, non-invasive, and cost-effective tool for early LC screening. Enhancing sensor durability, improving data processing, and conducting large-scale validation studies are critical next steps. Integration with imaging and molecular biomarkers may further improve diagnostic accuracy and clinical utility.

肺癌检测的电子鼻技术:一场无创诊断革命。
背景:肺癌(LC)仍然是世界范围内癌症相关死亡的主要原因,主要是由于晚期诊断和缺乏有效的早期检测方法。目的:本文旨在探讨电子鼻系统在肺癌早期检测中的原理、技术进展、目前的局限性和未来的展望。方法:本文分析了近年来关于检测呼出气体中挥发性有机化合物(VOCs)的电子鼻设备的文献,重点介绍了它们与人工智能(AI)和机器学习的集成,用于模式识别和诊断分类。结果:电子鼻在鉴别癌性和非癌性呼吸样本方面具有很高的敏感性和特异性。然而,诸如传感器稳定性、呼吸收集缺乏标准化、人口统计学变异性以及对人工智能模型的大型训练数据集的需求等挑战限制了它们的临床应用。结论:尽管目前存在局限性,但电子鼻技术作为早期LC筛查的快速、无创和经济有效的工具显示出强大的潜力。增强传感器耐用性,改进数据处理,进行大规模验证研究是关键的下一步。与成像和分子生物标志物的结合可以进一步提高诊断的准确性和临床实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Lung
Lung 医学-呼吸系统
CiteScore
9.10
自引率
10.00%
发文量
95
审稿时长
6-12 weeks
期刊介绍: Lung publishes original articles, reviews and editorials on all aspects of the healthy and diseased lungs, of the airways, and of breathing. Epidemiological, clinical, pathophysiological, biochemical, and pharmacological studies fall within the scope of the journal. Case reports, short communications and technical notes can be accepted if they are of particular interest.
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