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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7459473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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