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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2018-12-01
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Online Access: | http://dx.doi.org/10.1080/21505594.2018.1425072 |
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doaj-d4abfd1266fa4881a92d62e7d7e6f2162020-11-25T00:56:08ZengTaylor & 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 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Knut Ohlsen Tobias Hertlein |
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 |
author_facet |
Knut Ohlsen Tobias Hertlein |
author_sort |
Knut Ohlsen |
title |
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_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_sort |
towards clinical application of non-invasive imaging to detect bacterial infections |
publisher |
Taylor & Francis Group |
series |
Virulence |
issn |
2150-5594 2150-5608 |
publishDate |
2018-12-01 |
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. |
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 |
_version_ |
1725228135623950336 |