| Title |
Test-retest analysis of a non-invasive method of quantifying [11C]-PBR28 binding in Alzheimer’s disease
|
|---|---|
| Published in |
EJNMMI Research, September 2016
|
| DOI | 10.1186/s13550-016-0226-3 |
| Pubmed ID | |
| Authors |
Akshay Nair, Mattia Veronese, Xiaohui Xu, Charles Curtis, Federico Turkheimer, Robert Howard, Suzanne Reeves |
| Abstract |
In order to maximise the utility of [(11)C]-PBR28 for use in longitudinal studies and clinical trials in Alzheimer's disease (AD), there is a need to develop non-invasive metrics of tracer binding that do not require arterial cannulation. Recent work has suggested that standardised uptake value (SUV)-based methods may be sensitive to changes in translocator protein (TSPO) levels associated with neurodegeneration. However, the test-retest reliability of these approaches in AD over a time period relevant for clinical trials is unknown. In this study, the test-retest reliability of three SUV-based metrics was assessed in AD patients over 12 weeks. Five patients with mild AD and the high-affinity binding TSPO genotype underwent two [(11)C]-PBR28 PET scans approximately 12 weeks apart. The test-retest reliability (TRR) of the unadjusted SUV, SUV relative to cerebellar grey matter (SUVRC) and SUV normalised to whole brain activity (SUVRWB) in nine cortical and limbic regions of interest was assessed using the absolute variability and the intraclass correlation coefficient. Of the three measures, SUVRWB performed best overall, showing low absolute variability (mean -0.13 %, SD 2.47 %) and high reliability (mean ICC = 0.83). Unadjusted SUV also performed well, with high reliability (ICC = 0.94) but also high variability (mean -1.24 %, SD 7.28 %). By comparison, the SUVRC showed higher variability (mean -3.98 %, SD 7.07 %) and low reliability (ICC = 0.65). In this AD sample, we found that SUV-derived metrics of [(11)C]-PBR28 binding showed high stability over 12 weeks. These results compare favourably with studies reporting TRR of absolute quantification of [(11)C]-PBR28. Pending further validation of SUV-based measures of [(11)C]-PBR28, semi-quantitative methods of [(11)C]-PBR28 analysis may prove useful in longitudinal studies of AD. |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 29% |
| Student > Ph. D. Student | 9 | 26% |
| Student > Master | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 32% |
| Psychology | 5 | 15% |
| Neuroscience | 5 | 15% |
| Engineering | 3 | 9% |
| Social Sciences | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 6 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 29 November 2016.
All research outputs
#4,369,982
of 25,374,647 outputs
Outputs from EJNMMI Research
#62
of 612 outputs
Outputs of similar age
#67,828
of 330,838 outputs
Outputs of similar age from EJNMMI Research
#2
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 612 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 89% of its peers.
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