Breath volatolomics for diagnosing chronic rhinosinusitis

Yoav Y Broza,1,* Itzhak Braverman,2,* Hossam Haick1 1The Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion – Israel Institute of Technology, Haifa, Israel; 2The Otolaryngology – Head & Neck Surgery Unit, The Hillel Yaffe Medical Cen...

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Autores principales:	Broza YY, Braverman I, Haick H
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2018
Materias:	Volatile organic compounds Breath analysis Nanomaterial Sensors Chronic sinusitis Nasal polyposis Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/9be6b6d85b964e40962ef7a303c6fda4
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spelling	oai:doaj.org-article:9be6b6d85b964e40962ef7a303c6fda42021-12-02T02:48:41ZBreath volatolomics for diagnosing chronic rhinosinusitis1178-2013https://doaj.org/article/9be6b6d85b964e40962ef7a303c6fda42018-08-01T00:00:00Zhttps://www.dovepress.com/breath-volatolomics-for-diagnosing-chronic-rhinosinusitis-peer-reviewed-article-IJNhttps://doaj.org/toc/1178-2013Yoav Y Broza,1,* Itzhak Braverman,2,* Hossam Haick1 1The Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion – Israel Institute of Technology, Haifa, Israel; 2The Otolaryngology – Head & Neck Surgery Unit, The Hillel Yaffe Medical Center, The Technion Faculty of Medicine, Hadera, Israel *These authors contributed equally to this work Purpose: Chronic rhinosinusitis (CRS) is one of the most common chronic diseases treated by primary care physicians. It is increasingly recognized that CRS and nasal polyposis (NP) comprise several disease processes with diverse causes. Hence, subgroups of sinusitis need to be differentiated so that patients can be screened appropriately and personalized medical treatment provided. Patients and methods: To address this need, we use a cross-reactive nanoarray based on either molecularly modified gold nanoparticles or molecularly modified single-walled carbon nanotubes, combined with pattern recognition for analyzing breath samples. Breath samples were collected from three groups of volunteers (total 71) at the Hillel Yaffe Medical Center: CRS, NP, and control. Results: Nanoarray results discriminated between patients with sinusitis and the control group with 87% sensitivity, 83% specificity, and 85% accuracy. The system also discriminated well between the subpopulations: 1) CRS vs control (76% sensitivity, 90% specificity); 2) CRS vs NP (82% sensitivity, 71% specificity); and 3) NP vs control (71% sensitivity, 90% specificity). Conclusion: This preliminary study shows that a nanoarray-based breath test for screening population for sinusitis-related conditions is feasible. Keywords: volatile organic compound, breath analysis, sensor, chronic sinusitis, nasal polyposisBroza YYBraverman IHaick HDove Medical PressarticleVolatile organic compoundsBreath analysisNanomaterialSensorsChronic sinusitisNasal polyposisMedicine (General)R5-920ENInternational Journal of Nanomedicine, Vol Volume 13, Pp 4661-4670 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Volatile organic compounds Breath analysis Nanomaterial Sensors Chronic sinusitis Nasal polyposis Medicine (General) R5-920
spellingShingle	Volatile organic compounds Breath analysis Nanomaterial Sensors Chronic sinusitis Nasal polyposis Medicine (General) R5-920 Broza YY Braverman I Haick H Breath volatolomics for diagnosing chronic rhinosinusitis
description	Yoav Y Broza,1,* Itzhak Braverman,2,* Hossam Haick1 1The Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion – Israel Institute of Technology, Haifa, Israel; 2The Otolaryngology – Head & Neck Surgery Unit, The Hillel Yaffe Medical Center, The Technion Faculty of Medicine, Hadera, Israel *These authors contributed equally to this work Purpose: Chronic rhinosinusitis (CRS) is one of the most common chronic diseases treated by primary care physicians. It is increasingly recognized that CRS and nasal polyposis (NP) comprise several disease processes with diverse causes. Hence, subgroups of sinusitis need to be differentiated so that patients can be screened appropriately and personalized medical treatment provided. Patients and methods: To address this need, we use a cross-reactive nanoarray based on either molecularly modified gold nanoparticles or molecularly modified single-walled carbon nanotubes, combined with pattern recognition for analyzing breath samples. Breath samples were collected from three groups of volunteers (total 71) at the Hillel Yaffe Medical Center: CRS, NP, and control. Results: Nanoarray results discriminated between patients with sinusitis and the control group with 87% sensitivity, 83% specificity, and 85% accuracy. The system also discriminated well between the subpopulations: 1) CRS vs control (76% sensitivity, 90% specificity); 2) CRS vs NP (82% sensitivity, 71% specificity); and 3) NP vs control (71% sensitivity, 90% specificity). Conclusion: This preliminary study shows that a nanoarray-based breath test for screening population for sinusitis-related conditions is feasible. Keywords: volatile organic compound, breath analysis, sensor, chronic sinusitis, nasal polyposis
format	article
author	Broza YY Braverman I Haick H
author_facet	Broza YY Braverman I Haick H
author_sort	Broza YY
title	Breath volatolomics for diagnosing chronic rhinosinusitis
title_short	Breath volatolomics for diagnosing chronic rhinosinusitis
title_full	Breath volatolomics for diagnosing chronic rhinosinusitis
title_fullStr	Breath volatolomics for diagnosing chronic rhinosinusitis
title_full_unstemmed	Breath volatolomics for diagnosing chronic rhinosinusitis
title_sort	breath volatolomics for diagnosing chronic rhinosinusitis
publisher	Dove Medical Press
publishDate	2018
url	https://doaj.org/article/9be6b6d85b964e40962ef7a303c6fda4
work_keys_str_mv	AT brozayy breathvolatolomicsfordiagnosingchronicrhinosinusitis AT bravermani breathvolatolomicsfordiagnosingchronicrhinosinusitis AT haickh breathvolatolomicsfordiagnosingchronicrhinosinusitis
_version_	1718402113586855936

Breath volatolomics for diagnosing chronic rhinosinusitis

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