Cargando…

Sensors for Lung Cancer Diagnosis

The positive outcome of lung cancer treatment is strongly related to the earliness of the diagnosis. Thus, there is a strong requirement for technologies that could provide an early detection of cancer. The concept of early diagnosis is immediately extended to large population screening, and then, i...

Descripción completa

Detalles Bibliográficos
Autores principales: Capuano, Rosamaria, Catini, Alexandro, Paolesse, Roberto, Di Natale, Corrado
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406777/
https://www.ncbi.nlm.nih.gov/pubmed/30754727
http://dx.doi.org/10.3390/jcm8020235
_version_ 1783401401604374528
author Capuano, Rosamaria
Catini, Alexandro
Paolesse, Roberto
Di Natale, Corrado
author_facet Capuano, Rosamaria
Catini, Alexandro
Paolesse, Roberto
Di Natale, Corrado
author_sort Capuano, Rosamaria
collection PubMed
description The positive outcome of lung cancer treatment is strongly related to the earliness of the diagnosis. Thus, there is a strong requirement for technologies that could provide an early detection of cancer. The concept of early diagnosis is immediately extended to large population screening, and then, it is strongly related to non-invasiveness and low cost. Sensor technology takes advantage of the microelectronics revolution, and then, it promises to develop devices sufficiently sensitive to detect lung cancer biomarkers. A number of biosensors for the detection of cancer-related proteins have been demonstrated in recent years. At the same time, the interest is growing towards the analysis of volatile metabolites that could be measured directly from the breath. In this paper, a review of the state-of-the-art of biosensors and volatile compound sensors is presented.
format Online
Article
Text
id pubmed-6406777
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-64067772019-03-22 Sensors for Lung Cancer Diagnosis Capuano, Rosamaria Catini, Alexandro Paolesse, Roberto Di Natale, Corrado J Clin Med Review The positive outcome of lung cancer treatment is strongly related to the earliness of the diagnosis. Thus, there is a strong requirement for technologies that could provide an early detection of cancer. The concept of early diagnosis is immediately extended to large population screening, and then, it is strongly related to non-invasiveness and low cost. Sensor technology takes advantage of the microelectronics revolution, and then, it promises to develop devices sufficiently sensitive to detect lung cancer biomarkers. A number of biosensors for the detection of cancer-related proteins have been demonstrated in recent years. At the same time, the interest is growing towards the analysis of volatile metabolites that could be measured directly from the breath. In this paper, a review of the state-of-the-art of biosensors and volatile compound sensors is presented. MDPI 2019-02-11 /pmc/articles/PMC6406777/ /pubmed/30754727 http://dx.doi.org/10.3390/jcm8020235 Text en © 2019 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
Capuano, Rosamaria
Catini, Alexandro
Paolesse, Roberto
Di Natale, Corrado
Sensors for Lung Cancer Diagnosis
title Sensors for Lung Cancer Diagnosis
title_full Sensors for Lung Cancer Diagnosis
title_fullStr Sensors for Lung Cancer Diagnosis
title_full_unstemmed Sensors for Lung Cancer Diagnosis
title_short Sensors for Lung Cancer Diagnosis
title_sort sensors for lung cancer diagnosis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406777/
https://www.ncbi.nlm.nih.gov/pubmed/30754727
http://dx.doi.org/10.3390/jcm8020235
work_keys_str_mv AT capuanorosamaria sensorsforlungcancerdiagnosis
AT catinialexandro sensorsforlungcancerdiagnosis
AT paolesseroberto sensorsforlungcancerdiagnosis
AT dinatalecorrado sensorsforlungcancerdiagnosis