Ex vivo investigation of a smart endotracheal tube for identifying esophageal intubation.

IF 3 3区医学 Q2 BIOCHEMICAL RESEARCH METHODS

Journal of Biomedical Optics Pub Date : 2025-06-01 Epub Date: 2025-06-13 DOI:10.1117/1.JBO.30.6.067003

Brett Gadsby, Sergiy Korposh, Ricardo Correia, Chenyang He, Barrie R Hayes-Gill, Andrew M Norris, Jonathan G Hardman, David W Hewson, Stephen P Morgan

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引用次数: 0

Abstract

Significance: Unrecognized intubation of the esophagus instead of the trachea results in rapid and severe consequences for the patient. Utilizing the spectral properties of the tissues could reduce incidents of these events.

Aim: We aim to investigate the design and implementation of a smart endotracheal tube (ETT) with integrated optical fiber sensors to distinguish esophageal and tracheal tissues.

Approach: Computational methods are investigated to characterize and classify nine pairs of ex vivo porcine organs using spectral properties. Two classifiers [ $K$ -nearest neighbor and linear discriminant analysis (LDA)] are investigated.

Results: Of the tissues sampled, 100% are correctly distinguished, with LDA being the preferred choice when considering both performance and applicability.

Conclusions: In clinical practice, this approach offers a method for confirming correct tracheal intubation using the spectral properties of the tissues, performed in a single step with no other invasive medical device than the ETT required to detect the spectral measurements.

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智能气管插管识别食管插管的离体研究。

意义：未被识别的食管插管而不是气管插管会给患者带来迅速而严重的后果。利用组织的光谱特性可以减少这些事件的发生。目的：研究一种集成光纤传感器的智能气管内管（ETT）的设计和实现，用于区分食管和气管组织。方法：研究了利用光谱特性对九对猪离体器官进行表征和分类的计算方法。研究了两种分类器[K近邻和线性判别分析（LDA）]。结果：在所采集的组织中，100%的组织被正确区分，考虑到性能和适用性，LDA是首选。结论：在临床实践中，该方法提供了一种利用组织的光谱特性来确认正确气管插管的方法，只需一步即可完成，除了检测光谱测量所需的ETT外，不需要其他侵入性医疗设备。

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

Journal of Biomedical Optics 医学-光学

CiteScore

6.40

自引率

5.70%

发文量

263

审稿时长

2 months

期刊介绍： The Journal of Biomedical Optics publishes peer-reviewed papers on the use of modern optical technology for improved health care and biomedical research.