↓ Skip to main content

Nuclear imaging of inflammation: homing-associated molecules as targets

Overview of attention for article published in EJNMMI Research, January 2013
Altmetric Badge

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
28 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Nuclear imaging of inflammation: homing-associated molecules as targets
Published in
EJNMMI Research, January 2013
DOI 10.1186/2191-219x-3-1
Pubmed ID
Authors

Anu Autio, Sirpa Jalkanen, Anne Roivainen

Abstract

The golden standard in nuclear medicine imaging of inflammation is the use of autologous radiolabeled leukocytes. Although their diagnostic accuracy is precise, the preparation of the leukocytes is both laborious and potentially hazardous for laboratory personnel. Molecules involved in leukocyte migration (homing-associated molecules) could serve as targets for the development of imaging agents for inflammation. An excellent target would be a molecule that is absent or expressed at low levels in healthy tissues, but is present or upregulated at the sites of inflammation. In this paper, we will review the literature concerning the use of homing-associated molecules as imaging targets. We will especially concentrate on vascular adhesion protein-1 due to the promising results regarding its use as a target for the imaging of inflammation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 29%
Student > Ph. D. Student 8 29%
Student > Master 5 18%
Other 2 7%
Student > Doctoral Student 2 7%
Other 1 4%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 9 32%
Agricultural and Biological Sciences 6 21%
Chemistry 4 14%
Engineering 2 7%
Business, Management and Accounting 1 4%
Other 4 14%
Unknown 2 7%