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Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review

Cancer is fast becoming the most important cause of death worldwide, its mortality being mostly caused by late or wrong diagnosis. Novel strategies have been developed to identify early signs of cancer in a minimally obtrusive way, including the Electronic Nose (E-Nose) technology, user-friendly, co...

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Autores principales: Baldini, Chiara, Billeci, Lucia, Sansone, Francesco, Conte, Raffaele, Domenici, Claudio, Tonacci, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459473/
https://www.ncbi.nlm.nih.gov/pubmed/32722438
http://dx.doi.org/10.3390/bios10080084
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author Baldini, Chiara
Billeci, Lucia
Sansone, Francesco
Conte, Raffaele
Domenici, Claudio
Tonacci, Alessandro
author_facet Baldini, Chiara
Billeci, Lucia
Sansone, Francesco
Conte, Raffaele
Domenici, Claudio
Tonacci, Alessandro
author_sort Baldini, Chiara
collection PubMed
description Cancer is fast becoming the most important cause of death worldwide, its mortality being mostly caused by late or wrong diagnosis. Novel strategies have been developed to identify early signs of cancer in a minimally obtrusive way, including the Electronic Nose (E-Nose) technology, user-friendly, cost- and time-saving alternative to classical approaches. This systematic review, conducted under the PRISMA guidelines, identified 60 articles directly dealing with the E-Nose application in cancer research published up to 31 January 2020. Among these works, the vast majority reported successful E-Nose use for diagnosing Lung Cancer, showing promising results especially when employing the Aeonose tool, discriminating subjects with Lung Cancer from controls in more than 80% of individuals, in most studies. In order to tailor the main limitations of the proposed approach, including the application of the protocol to advanced stage of cancer, sample heterogeneity and massive confounders, future studies should be conducted on early stage patients, and on larger cohorts, as to better characterize the specific breathprint associated with the various subtypes of cancer. This would ultimately lead to a better and faster diagnosis and to earlier treatment, possibly reducing the burden associated to such conditions.
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spelling pubmed-74594732020-09-02 Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review Baldini, Chiara Billeci, Lucia Sansone, Francesco Conte, Raffaele Domenici, Claudio Tonacci, Alessandro Biosensors (Basel) Review Cancer is fast becoming the most important cause of death worldwide, its mortality being mostly caused by late or wrong diagnosis. Novel strategies have been developed to identify early signs of cancer in a minimally obtrusive way, including the Electronic Nose (E-Nose) technology, user-friendly, cost- and time-saving alternative to classical approaches. This systematic review, conducted under the PRISMA guidelines, identified 60 articles directly dealing with the E-Nose application in cancer research published up to 31 January 2020. Among these works, the vast majority reported successful E-Nose use for diagnosing Lung Cancer, showing promising results especially when employing the Aeonose tool, discriminating subjects with Lung Cancer from controls in more than 80% of individuals, in most studies. In order to tailor the main limitations of the proposed approach, including the application of the protocol to advanced stage of cancer, sample heterogeneity and massive confounders, future studies should be conducted on early stage patients, and on larger cohorts, as to better characterize the specific breathprint associated with the various subtypes of cancer. This would ultimately lead to a better and faster diagnosis and to earlier treatment, possibly reducing the burden associated to such conditions. MDPI 2020-07-25 /pmc/articles/PMC7459473/ /pubmed/32722438 http://dx.doi.org/10.3390/bios10080084 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Baldini, Chiara
Billeci, Lucia
Sansone, Francesco
Conte, Raffaele
Domenici, Claudio
Tonacci, Alessandro
Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review
title Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review
title_full Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review
title_fullStr Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review
title_full_unstemmed Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review
title_short Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review
title_sort electronic nose as a novel method for diagnosing cancer: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459473/
https://www.ncbi.nlm.nih.gov/pubmed/32722438
http://dx.doi.org/10.3390/bios10080084
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