Detecting head and neck squamous carcinoma using a portable handheld electronic nose

Rens M. G. E. van de Goor; Michel R. A. van Hooren; Darius Henatsch; Bernd Kremer; Kenneth W. Kross

doi:10.1002/hed.26293

Detecting head and neck squamous carcinoma using a portable handheld electronic nose

Rens M. G. E. van de Goor^*, Michel R. A. van Hooren, Darius Henatsch, Bernd Kremer, Kenneth W. Kross

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Introduction Detecting volatile organic compounds in exhaled breath enables the diagnosis of cancer. We investigated whether a handheld version of an electronic nose is able to discriminate between patients with head and neck squamous cell cancer (HNSCC) and healthy controls.

Methods Ninety-one patients with HNSCC and 72 controls exhaled through an e-nose. An artificial neural network based model was built to separate between HNSCC patients and healthy controls. Additionally, three models were created for separating between the oral, oropharyngeal, and glottic subsites respectively, and healthy controls.

Results The results showed a diagnostic accuracy of 72% at a sensitivity of 79%, specificity of 63%, and area under the curve (AUC) of 0.75. Results for the subsites showed an AUC of 0.85, 0.82, and 0.83 respectively for oral, oropharyngeal, and glottic HNSCC.

Conclusion This feasibility study showed that this portable noninvasive diagnostic tool can differentiate between HNSCC patients and healthy controls.

Original language	English
Pages (from-to)	2555-2559
Number of pages	5
Journal	Head and Neck-Journal for the Sciences and Specialties of the Head and Neck
Volume	42
Issue number	9
DOIs	https://doi.org/10.1002/hed.26293
Publication status	Published - Sept 2020

Keywords

diagnosis
electronic nose technology
head and neck squamous cell carcinoma
screening
volatile organic compounds
CELL CARCINOMA
CANCER
DIAGNOSIS
BREATH

Access to Document

10.1002/hed.26293Licence: CC BY

Cite this

@article{c913be4c0dc442d187873f9746cc6100,

title = "Detecting head and neck squamous carcinoma using a portable handheld electronic nose",

abstract = "Introduction Detecting volatile organic compounds in exhaled breath enables the diagnosis of cancer. We investigated whether a handheld version of an electronic nose is able to discriminate between patients with head and neck squamous cell cancer (HNSCC) and healthy controls.Methods Ninety-one patients with HNSCC and 72 controls exhaled through an e-nose. An artificial neural network based model was built to separate between HNSCC patients and healthy controls. Additionally, three models were created for separating between the oral, oropharyngeal, and glottic subsites respectively, and healthy controls.Results The results showed a diagnostic accuracy of 72% at a sensitivity of 79%, specificity of 63%, and area under the curve (AUC) of 0.75. Results for the subsites showed an AUC of 0.85, 0.82, and 0.83 respectively for oral, oropharyngeal, and glottic HNSCC.Conclusion This feasibility study showed that this portable noninvasive diagnostic tool can differentiate between HNSCC patients and healthy controls.",

keywords = "diagnosis, electronic nose technology, head and neck squamous cell carcinoma, screening, volatile organic compounds, CELL CARCINOMA, CANCER, DIAGNOSIS, BREATH",

author = "{van de Goor}, {Rens M. G. E.} and {van Hooren}, {Michel R. A.} and Darius Henatsch and Bernd Kremer and Kross, {Kenneth W.}",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Head & Neck published by Wiley Periodicals, Inc.",

year = "2020",

month = sep,

doi = "10.1002/hed.26293",

language = "English",

volume = "42",

pages = "2555--2559",

journal = "Head and Neck-Journal for the Sciences and Specialties of the Head and Neck",

issn = "1043-3074",

publisher = "Wiley",

number = "9",

}

TY - JOUR

T1 - Detecting head and neck squamous carcinoma using a portable handheld electronic nose

AU - van de Goor, Rens M. G. E.

AU - van Hooren, Michel R. A.

AU - Henatsch, Darius

AU - Kremer, Bernd

AU - Kross, Kenneth W.

PY - 2020/9

Y1 - 2020/9

N2 - Introduction Detecting volatile organic compounds in exhaled breath enables the diagnosis of cancer. We investigated whether a handheld version of an electronic nose is able to discriminate between patients with head and neck squamous cell cancer (HNSCC) and healthy controls.Methods Ninety-one patients with HNSCC and 72 controls exhaled through an e-nose. An artificial neural network based model was built to separate between HNSCC patients and healthy controls. Additionally, three models were created for separating between the oral, oropharyngeal, and glottic subsites respectively, and healthy controls.Results The results showed a diagnostic accuracy of 72% at a sensitivity of 79%, specificity of 63%, and area under the curve (AUC) of 0.75. Results for the subsites showed an AUC of 0.85, 0.82, and 0.83 respectively for oral, oropharyngeal, and glottic HNSCC.Conclusion This feasibility study showed that this portable noninvasive diagnostic tool can differentiate between HNSCC patients and healthy controls.

AB - Introduction Detecting volatile organic compounds in exhaled breath enables the diagnosis of cancer. We investigated whether a handheld version of an electronic nose is able to discriminate between patients with head and neck squamous cell cancer (HNSCC) and healthy controls.Methods Ninety-one patients with HNSCC and 72 controls exhaled through an e-nose. An artificial neural network based model was built to separate between HNSCC patients and healthy controls. Additionally, three models were created for separating between the oral, oropharyngeal, and glottic subsites respectively, and healthy controls.Results The results showed a diagnostic accuracy of 72% at a sensitivity of 79%, specificity of 63%, and area under the curve (AUC) of 0.75. Results for the subsites showed an AUC of 0.85, 0.82, and 0.83 respectively for oral, oropharyngeal, and glottic HNSCC.Conclusion This feasibility study showed that this portable noninvasive diagnostic tool can differentiate between HNSCC patients and healthy controls.

KW - diagnosis

KW - electronic nose technology

KW - head and neck squamous cell carcinoma

KW - screening

KW - volatile organic compounds

KW - CELL CARCINOMA

KW - CANCER

KW - DIAGNOSIS

KW - BREATH

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DO - 10.1002/hed.26293

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