Cargando…

Molecular imaging of bacterial infections in vivo: the discrimination of infection from inflammation

Molecular imaging by definition is the visualization of molecular and cellular processes within a given system. The modalities and reagents described here represent a diverse array spanning both pre-clinical and clinical applications. Innovations in probe design and technologies would greatly benefi...

Descripción completa

Detalles Bibliográficos
Autores principales: Eggleston, Heather, Panizzi, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4790455/
https://www.ncbi.nlm.nih.gov/pubmed/26985401
http://dx.doi.org/10.3390/informatics1010072
_version_ 1782420993877213184
author Eggleston, Heather
Panizzi, Peter
author_facet Eggleston, Heather
Panizzi, Peter
author_sort Eggleston, Heather
collection PubMed
description Molecular imaging by definition is the visualization of molecular and cellular processes within a given system. The modalities and reagents described here represent a diverse array spanning both pre-clinical and clinical applications. Innovations in probe design and technologies would greatly benefit therapeutic outcomes by enhancing diagnostic accuracy and assessment of acute therapy. Opportunistic pathogens continue to pose a worldwide threat, despite advancements in treatment strategies, which highlights the continued need for improved diagnostics. In this review, we present a summary of the current clinical protocol for the imaging of a suspected infection, methods currently in development to optimize this imaging process, and finally, insight into endocarditis as a model of infectious disease in immediate need of improved diagnostic methods.
format Online
Article
Text
id pubmed-4790455
institution National Center for Biotechnology Information
language English
publishDate 2014
record_format MEDLINE/PubMed
spelling pubmed-47904552016-03-14 Molecular imaging of bacterial infections in vivo: the discrimination of infection from inflammation Eggleston, Heather Panizzi, Peter Informatics (MDPI) Article Molecular imaging by definition is the visualization of molecular and cellular processes within a given system. The modalities and reagents described here represent a diverse array spanning both pre-clinical and clinical applications. Innovations in probe design and technologies would greatly benefit therapeutic outcomes by enhancing diagnostic accuracy and assessment of acute therapy. Opportunistic pathogens continue to pose a worldwide threat, despite advancements in treatment strategies, which highlights the continued need for improved diagnostics. In this review, we present a summary of the current clinical protocol for the imaging of a suspected infection, methods currently in development to optimize this imaging process, and finally, insight into endocarditis as a model of infectious disease in immediate need of improved diagnostic methods. 2014-05-30 /pmc/articles/PMC4790455/ /pubmed/26985401 http://dx.doi.org/10.3390/informatics1010072 Text en This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Eggleston, Heather
Panizzi, Peter
Molecular imaging of bacterial infections in vivo: the discrimination of infection from inflammation
title Molecular imaging of bacterial infections in vivo: the discrimination of infection from inflammation
title_full Molecular imaging of bacterial infections in vivo: the discrimination of infection from inflammation
title_fullStr Molecular imaging of bacterial infections in vivo: the discrimination of infection from inflammation
title_full_unstemmed Molecular imaging of bacterial infections in vivo: the discrimination of infection from inflammation
title_short Molecular imaging of bacterial infections in vivo: the discrimination of infection from inflammation
title_sort molecular imaging of bacterial infections in vivo: the discrimination of infection from inflammation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4790455/
https://www.ncbi.nlm.nih.gov/pubmed/26985401
http://dx.doi.org/10.3390/informatics1010072
work_keys_str_mv AT egglestonheather molecularimagingofbacterialinfectionsinvivothediscriminationofinfectionfrominflammation
AT panizzipeter molecularimagingofbacterialinfectionsinvivothediscriminationofinfectionfrominflammation