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Correlation between two methods of florbetapir PET quantitative analysis
Christopher Breault, Jonathan Piper, Abhinay D Joshi, Sara D Pirozzi, Aaron S Nelson, Ming Lu, Michael J Pontecorvo, Mark A Mintun et al.. American journal of nuclear medicine and molecular imaging, 2017-07-15
Topic: Plasma and spinal-fluid biomarkers
This study evaluated performance of a commercially available standardized software program for calculation of florbetapir PET standard uptake value ratios (SUVr) in comparison with an established research method. Florbetapir PET images for 183 subjects clinically diagnosed as cognitively normal (CN), mild cognitive impairment (MCI) or probable Alzheimer's disease (AD) (45 AD, 60 MCI, and 78 CN) were evaluated using two software processing algorithms. The research method uses a single florbetapir PET template generated by averaging both amyloid positive and amyloid negative registered brains together. The commercial software simultaneously optimizes the registration between the florbetapir PET images and three templates: amyloid negative, amyloid positive, and an average. Cortical average SUVr values were calculated across six predefined anatomic regions with respect to the whole cerebellum reference region. SUVr values were well correlated between the two methods (r2 = 0.98). The relationship between the methods computed from the regression analysis is: Commercial method SUVr = (0.9757*Research SUVr) + 0.0299. A previously defined cutoff SUVr of 1.1 for distinguishing amyloid positivity by the research method corresponded to 1.1 (95% CI = 1.098, 1.11) for the commercial method. This study suggests that the commercial method is comparable to the published research method of SUVr analysis for florbetapir PET images, thus facilitating the potential use of standardized quantitative approaches to PET amyloid imaging.
Key findings
- This study suggests that the commercial method is comparable to the published research method of SUVr analysis for florbetapir PET images, thus facilitating the potential use of standardized quantitative approaches to PET amyloid imaging.
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Study details
- Participants183
- Evidence strengthLow
How this study scored 48/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 27 of the 56 points we could judge it on, which is 48 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (American journal of nuclear medicine and molecular imaging) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2017 — within 10 year(s) of the newest study here |
| Sample size | 2 / 4 | 183 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 28721302) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 27 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 27 of the 56 points we could judge it on is 48 out of 100. |
| Total | 48 / 100 | — |
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Read the original
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Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. This record has no DOI, so the citation leaves it out. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
APA 7th
Breault, C., Piper, J., Joshi, A. D., Pirozzi, S. D., Nelson, A. S., Lu, M., et al. (2017). Correlation between two methods of florbetapir PET quantitative analysis. American journal of nuclear medicine and molecular imaging.
Vancouver
Breault C, Piper J, Joshi AD, Pirozzi SD, Nelson AS, Lu M, et al. Correlation between two methods of florbetapir PET quantitative analysis. American journal of nuclear medicine and molecular imaging. 2017. PMID: 28721302.
BibTeX
@article{breault2017-28721302,
author = {Breault, Christopher and Piper, Jonathan and Joshi, Abhinay D and Pirozzi, Sara D and Nelson, Aaron S and Lu, Ming and Pontecorvo, Michael J and Mintun, Mark A and others},
title = {{Correlation between two methods of florbetapir PET quantitative analysis}},
journal = {American journal of nuclear medicine and molecular imaging},
year = {2017},
pmid = {28721302}
}
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