| Title |
18F-FDG PET/CT for the quantification of inflammation in large carotid artery plaques
|
|---|---|
| Published in |
Journal of Nuclear Cardiology, December 2017
|
| DOI | 10.1007/s12350-017-1121-7 |
| Pubmed ID | |
| Authors |
Kjersti Johnsrud, Karolina Skagen, Therese Seierstad, Mona Skjelland, David Russell, Mona-Elisabeth Revheim |
| Abstract |
There is currently no consensus on the methodology for quantification of 18F-FDG uptake in inflammation in atherosclerosis. In this study, we explore different methods for quantification of 18F-FDG uptake in carotid atherosclerotic plaques and correlate the uptake values to histological assessments of inflammation. Forty-four patients with atherosclerotic stenosis ≥70% of the internal carotid artery underwent 18F-FDG PET/CT. Maximum standardized uptake values (SUVmax) from all plaque-containing slices were collected. SUVmax for the single highest and the mean of multiple slices with and without blood background correction (by subtraction (cSUV) or by division (target-to-background ratio (TBR)) were calculated. Following endarterectomy 30 plaques were assessed histologically. The length of the plaques at CT was 6-32 mm. The 18F-FDG uptake in the plaques was 1.15-2.66 for uncorrected SUVs, 1.16-3.19 for TBRs, and 0.20-1.79 for cSUVs. There were significant correlations between the different uptake values (r = 0.57-0.99, P < 0.001). Methods with and without blood background correction showed similar, moderate correlations to the amount of inflammation assessed at histology (r = 0.44-0.59, P < 0.02). In large stenotic carotid plaques, 18F-FDG uptake reflects the inflammatory status as assessed at histology. Increasing number of PET slices or background correction did not change the correlation. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Nigeria | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 19% |
| Student > Ph. D. Student | 3 | 19% |
| Professor > Associate Professor | 3 | 19% |
| Student > Postgraduate | 2 | 13% |
| Other | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 38% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 6% |
| Computer Science | 1 | 6% |
| Unknown | 6 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 December 2017.
All research outputs
#16,053,755
of 25,382,440 outputs
Outputs from Journal of Nuclear Cardiology
#1,124
of 2,044 outputs
Outputs of similar age
#251,370
of 445,833 outputs
Outputs of similar age from Journal of Nuclear Cardiology
#14
of 45 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.