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- W3044202860 endingPage "84" @default.
- W3044202860 startingPage "84" @default.
- W3044202860 abstract "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." @default.
- W3044202860 created "2020-07-29" @default.
- W3044202860 creator A5028294961 @default.
- W3044202860 creator A5051287193 @default.
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- W3044202860 creator A5069155778 @default.
- W3044202860 creator A5080312255 @default.
- W3044202860 creator A5088192604 @default.
- W3044202860 date "2020-07-25" @default.
- W3044202860 modified "2023-10-10" @default.
- W3044202860 title "Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review" @default.
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- W3044202860 doi "https://doi.org/10.3390/bios10080084" @default.
- W3044202860 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7459473" @default.
- W3044202860 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32722438" @default.
- W3044202860 hasPublicationYear "2020" @default.