Spectral characterization of tracheal and esophageal tissues using a hyperspectral camera and fiber optic sensors

Nawn, Corinne D.; Souhan, Brian B.; Robert, Caroline; Kneapler, Caitlin; Fell, Nicholas F.; Ye, Jing Yong

doi:10.1117/12.2211406

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…There exists a need for novel mechanisms that can rapidly confirm tracheal placement and provide continuous patient monitoring independent of carbon dioxide levels. We have previously demonstrated in ex‐vivo and in‐situ swine that tracheal and oesophageal tissues have unique spectral profiles which may allow for rapid differentiation between the two tissue types . The present study expands these spectral studies into in‐vivo swine and human cadavers.…”

Section: Introductionmentioning

confidence: 68%

Using spectral reflectance to distinguish between tracheal and oesophageal tissue: applications for airway management

Nawn

Blackburn

Lorenzo³

et al. 2019

Anaesthesia

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Proper placement of the tracheal tube requires confirmation, and the predominant method in addition to clinical signs is the presence of end-tidal carbon dioxide. Such is the importance of confirmation that novel methods may also have a place. We previously demonstrated using ex-vivo swine tissue a unique spectral reflectance characteristic of tracheal tissue that differs from oesophageal tissue. We hypothesised that this characteristic would be present in living swine tissue and human cadavers. Reflectance spectra in the range 500-650 nm were captured using a customised fibreoptic probe, compact spectrometer and white light source from both the trachea and the oesophagus in anesthetised living swine and in human cadavers. A tracheal detection algorithm using ratio comparisons of reflectance was developed. The existence of the unique tracheal characteristic in both in-vivo swine and cadaver models was confirmed (p < 0.0001 for all comparisons between tracheal and oesophageal tissue at all target wavelengths in both species). Furthermore, our proposed tracheal detection algorithm exhibited a 100% positive predictive value in both models. This has potential utility for incorporation into airway management devices.

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Section: Introductionmentioning

confidence: 68%

Using spectral reflectance to distinguish between tracheal and oesophageal tissue: applications for airway management

Nawn

Blackburn

Lorenzo³

et al. 2019

Anaesthesia

View full text Add to dashboard Cite

show abstract

Spectral Reflectance Can Differentiate Tracheal and Esophageal Tissue in the Presence of Bodily Fluids and Soot

Berard

Sen

Nawn

et al. 2020

Sensors

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Endotracheal intubation is a common life-saving procedure implemented in emergency care to ensure patient oxygenation, but it is difficult and often performed in suboptimal conditions leading to high rates of patient complications. Undetected misplacement in the esophagus is a preventable complication that can lead to fatalities in 5–10% of patients who undergo emergency intubation. End-tidal carbon dioxide monitoring and other proper placement detection methods are useful, yet the problem of misplacement persists. Our previous work demonstrated the utility of spectral reflectance sensors for differentiating esophageal and tracheal tissues, which can be used to confirm proper endotracheal tube placement. In this study, we examine the effectiveness of spectral characterization in the presence of saline, blood, “vomit”, and soot in the trachea. Our results show that spectral properties of the trachea that differentiate it from the esophagus persist in the presence of these substances. This work further confirms the potential usefulness of this novel detection technology in field applications.

show abstract

Spectral characterization of tracheal and esophageal tissues using a hyperspectral camera and fiber optic sensors

Cited by 2 publications

References 6 publications

Using spectral reflectance to distinguish between tracheal and oesophageal tissue: applications for airway management

Using spectral reflectance to distinguish between tracheal and oesophageal tissue: applications for airway management

Spectral Reflectance Can Differentiate Tracheal and Esophageal Tissue in the Presence of Bodily Fluids and Soot

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