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Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL
Pierrick Bourgeat, Vincent Doré, Jurgen Fripp, David Ames, Colin L Masters, Olivier Salvado, Victor L Villemagne, Christopher C Rowe et al.. NeuroImage, 2018-08-18
Topic: Plasma and spinal-fluid biomarkers
Using the calibration images, there was a very strong agreement, and very little bias between the centiloid values computed using CapAIBL and those computed using the standard method with R2 > 0.97 across all tracers. Using images from AIBL, the agreement was also high with R2 > 0.96 across all tracers. In this dataset, there was a small underestimation of the centiloid values computed using CapAIBL of less than 0.8% in PiB, and a small over-estimation of 1.3% in Florbetapir, and 0.8% in Flutemetamol. There was a larger overestimation of 8% in NAV images, and 14% underestimation in Florbetaben images. However, some of these differences could be explained by the use of different scanners between the calibration scans and the ones used in AIBL. The PET-only quantification method, CapAIBL, can produce reliable centiloid values. The bias observed in the AIBL dataset for 18F-NAV4694 and 18F-Florbetaben may indicate that using different scanners or reconstruction methods might require scanner-specific adjustments.
Key findings
- Using the calibration images, there was a very strong agreement, and very little bias between the centiloid values computed using CapAIBL and those computed using the standard method with R2 > 0.97 across all tracers.
- Using images from AIBL, the agreement was also high with R2 > 0.96 across all tracers.
- In this dataset, there was a small underestimation of the centiloid values computed using CapAIBL of less than 0.8% in PiB, and a small over-estimation of 1.3% in Florbetapir, and 0.8% in Flutemetamol.
- There was a larger overestimation of 8% in NAV images, and 14% underestimation in Florbetaben images.
- However, some of these differences could be explained by the use of different scanners between the calibration scans and the ones used in AIBL.
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Study details
- Effect size0.8%; 1.3%
- Evidence strengthLow
How this study scored 43/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, studied in people 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 24 of the 56 points we could judge it on, which is 43 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (NeuroImage) |
| 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 | 2018 — within 10 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| 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 30130643) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 24 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 24 of the 56 points we could judge it on is 43 out of 100. |
| Total | 43 / 100 | — |
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Cite this study APA, Vancouver, BibTeX · download .bib or .ris
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APA 7th
Bourgeat, P., Doré, V., Fripp, J., Ames, D., Masters, C. L., Salvado, O., et al. (2018). Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL. NeuroImage. https://doi.org/10.1016/j.neuroimage.2018.08.044
Vancouver
Bourgeat P, Doré V, Fripp J, Ames D, Masters CL, Salvado O, et al. Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL. NeuroImage. 2018. doi:10.1016/j.neuroimage.2018.08.044. PMID: 30130643.
BibTeX
@article{bourgeat2018-30130643,
author = {Bourgeat, Pierrick and Doré, Vincent and Fripp, Jurgen and Ames, David and Masters, Colin L and Salvado, Olivier and Villemagne, Victor L and Rowe, Christopher C and others},
title = {{Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL}},
journal = {NeuroImage},
year = {2018},
doi = {10.1016/j.neuroimage.2018.08.044},
pmid = {30130643},
url = {https://doi.org/10.1016/j.neuroimage.2018.08.044}
}
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