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Automated semi-quantitative amyloid PET analysis technique without MR images for Alzheimer's disease
Etsuko Imabayashi, Naoyuki Tamamura, Yuzuho Yamaguchi, Yuto Kamitaka, Muneyuki Sakata, Kenji Ishii. Annals of nuclear medicine, 2022-07-11
Topic: Plasma and spinal-fluid biomarkers
SUVr calculated by our method and CortexID were highly correlated (R2 = 0.9657). The 126 PET images comprised 84 negative and 42 positive cases of Aβ deposition by visual evaluation, of which 11 and 10 were classified as equivocal, respectively. ROC analyses determined the optimal cutoff values, sensitivity, and specificity for SUVr as 0.544, 89.3%, and 92.9%, respectively, and for CL as 12.400, 94.0%, and 92.9%, respectively. Both semi-quantitative analyses showed that 12 and 9 of the 21 equivocal cases were negative and positive, respectively, under the optimal cutoff values. This semi-quantitative analysis technique using 18F-flutemetamol-PET calculated SUVr and CL automatically without anatomical images. Moreover, it objectively and homogeneously interpreted positive or negative Aβ burden in the brain as a supplemental tool for the visual reading of equivocal cases in routine clinical practice.
Key findings
- SUVr calculated by our method and CortexID were highly correlated (R2 = 0.9657).
- The 126 PET images comprised 84 negative and 42 positive cases of Aβ deposition by visual evaluation, of which 11 and 10 were classified as equivocal, respectively.
- ROC analyses determined the optimal cutoff values, sensitivity, and specificity for SUVr as 0.544, 89.3%, and 92.9%, respectively, and for CL as 12.400, 94.0%, and 92.9%, respectively.
- Both semi-quantitative analyses showed that 12 and 9 of the 21 equivocal cases were negative and positive, respectively, under the optimal cutoff values.
- This semi-quantitative analysis technique using 18F-flutemetamol-PET calculated SUVr and CL automatically without anatomical images.
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Study details
- Effect size89.3%; 92.9%; 94.0%
- Evidence strengthLow
How this study scored 45/100
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 25 of the 56 points we could judge it on, which is 45 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Annals of nuclear medicine) |
| 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 | 3 / 5 | 2022 — within 6 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 35821311) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 25 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 25 of the 56 points we could judge it on is 45 out of 100. |
| Total | 45 / 100 | — |
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Cite this study APA, Vancouver, BibTeX · download .bib or .ris
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APA 7th
Imabayashi, E., Tamamura, N., Yamaguchi, Y., Kamitaka, Y., Sakata, M., & Ishii, K. (2022). Automated semi-quantitative amyloid PET analysis technique without MR images for Alzheimer's disease. Annals of nuclear medicine. https://doi.org/10.1007/s12149-022-01769-x
Vancouver
Imabayashi E, Tamamura N, Yamaguchi Y, Kamitaka Y, Sakata M, Ishii K. Automated semi-quantitative amyloid PET analysis technique without MR images for Alzheimer's disease. Annals of nuclear medicine. 2022. doi:10.1007/s12149-022-01769-x. PMID: 35821311.
BibTeX
@article{imabayashi2022-35821311,
author = {Imabayashi, Etsuko and Tamamura, Naoyuki and Yamaguchi, Yuzuho and Kamitaka, Yuto and Sakata, Muneyuki and Ishii, Kenji},
title = {{Automated semi-quantitative amyloid PET analysis technique without MR images for Alzheimer's disease}},
journal = {Annals of nuclear medicine},
year = {2022},
doi = {10.1007/s12149-022-01769-x},
pmid = {35821311},
url = {https://doi.org/10.1007/s12149-022-01769-x}
}
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