Molecular imaging of bacterial infections in vivo: The discrimination between infection and inflammation

32Citations
Citations of this article
50Readers
Mendeley users who have this article in their library.

Abstract

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.

References Powered by Scopus

Protective and pathogenic functions of macrophage subsets

4101Citations
N/AReaders
Get full text

Matrix metalloproteinases and the regulation of tissue remodelling

2458Citations
N/AReaders
Get full text

Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes

2057Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Metals to combat antimicrobial resistance

327Citations
N/AReaders
Get full text

Understanding bacterial biofilms: From definition to treatment strategies

183Citations
N/AReaders
Get full text

Scaffold-based Anti-infection Strategies in Bone Repair

125Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Eggleston, H., & Panizzi, P. (2014, June 1). Molecular imaging of bacterial infections in vivo: The discrimination between infection and inflammation. Informatics. MDPI AG. https://doi.org/10.3390/informatics1010072

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 22

58%

Researcher 12

32%

Professor / Associate Prof. 3

8%

Lecturer / Post doc 1

3%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 10

32%

Medicine and Dentistry 10

32%

Chemistry 6

19%

Biochemistry, Genetics and Molecular Bi... 5

16%

Save time finding and organizing research with Mendeley

Sign up for free