Towards clinical application of non-invasive imaging to detect bacterial infections

In vivo imaging technologies offer a great potential for the diagnosis of difficult-to-treat bacterial infections. A major limitation of conventional imaging modalities is the lack of specificity to distinguish the site of bacterial infection from sterile inflammation. Targeted approaches like antib...

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Main Authors: Knut Ohlsen, Tobias Hertlein
Format: Article
Language:English
Published: Taylor & Francis Group 2018-12-01
Series:Virulence
Subjects:
Online Access:http://dx.doi.org/10.1080/21505594.2018.1425072
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author Knut Ohlsen
Tobias Hertlein
author_facet Knut Ohlsen
Tobias Hertlein
author_sort Knut Ohlsen
collection DOAJ
description In vivo imaging technologies offer a great potential for the diagnosis of difficult-to-treat bacterial infections. A major limitation of conventional imaging modalities is the lack of specificity to distinguish the site of bacterial infection from sterile inflammation. Targeted approaches like antibiotics linked to imaging tracers for detection of various bacterial pathogens or species-specific antibodies combined with anatomical imaging modalities are currently being evaluated to overcome this problem. Considering the recent progress in optical and targeted imaging that may accelerate preclinical development programs, clinical implementation of in vivo imaging modalities to detect bacterial infection foci becomes realistic in the future.
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spelling doaj.art-d4abfd1266fa4881a92d62e7d7e6f2162022-12-21T19:11:49ZengTaylor & Francis GroupVirulence2150-55942150-56082018-12-019194394510.1080/21505594.2018.14250721425072Towards clinical application of non-invasive imaging to detect bacterial infectionsKnut Ohlsen0Tobias Hertlein1University of Würzburg, Institute for Molecular Infection BiologyUniversity of Würzburg, Institute for Molecular Infection BiologyIn vivo imaging technologies offer a great potential for the diagnosis of difficult-to-treat bacterial infections. A major limitation of conventional imaging modalities is the lack of specificity to distinguish the site of bacterial infection from sterile inflammation. Targeted approaches like antibiotics linked to imaging tracers for detection of various bacterial pathogens or species-specific antibodies combined with anatomical imaging modalities are currently being evaluated to overcome this problem. Considering the recent progress in optical and targeted imaging that may accelerate preclinical development programs, clinical implementation of in vivo imaging modalities to detect bacterial infection foci becomes realistic in the future.http://dx.doi.org/10.1080/21505594.2018.1425072fluorescence imagingimaging probesin vivo imaginginfection imagingmagnetic resonance imagingmolecular imagingPET imagingStaphylococcus aureus infections
spellingShingle Knut Ohlsen
Tobias Hertlein
Towards clinical application of non-invasive imaging to detect bacterial infections
Virulence
fluorescence imaging
imaging probes
in vivo imaging
infection imaging
magnetic resonance imaging
molecular imaging
PET imaging
Staphylococcus aureus infections
title Towards clinical application of non-invasive imaging to detect bacterial infections
title_full Towards clinical application of non-invasive imaging to detect bacterial infections
title_fullStr Towards clinical application of non-invasive imaging to detect bacterial infections
title_full_unstemmed Towards clinical application of non-invasive imaging to detect bacterial infections
title_short Towards clinical application of non-invasive imaging to detect bacterial infections
title_sort towards clinical application of non invasive imaging to detect bacterial infections
topic fluorescence imaging
imaging probes
in vivo imaging
infection imaging
magnetic resonance imaging
molecular imaging
PET imaging
Staphylococcus aureus infections
url http://dx.doi.org/10.1080/21505594.2018.1425072
work_keys_str_mv AT knutohlsen towardsclinicalapplicationofnoninvasiveimagingtodetectbacterialinfections
AT tobiashertlein towardsclinicalapplicationofnoninvasiveimagingtodetectbacterialinfections