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Assessment of different quantification metrics of [18F]-NaF PET/CT images of patients with abdominal aortic aneurysm

Abstract:
Background: We aim to assess the spill-in effect and the benefit in quantitative accuracy for [18F]-NaF PET/CT imaging of abdominal aortic aneurysms (AAA) using the background correction (BC) technique. Methods: Seventy-two datasets of patients diagnosed with AAA were reconstructed with ordered subset expectation maximization algorithm incorporating point spread function (PSF). Spill-in effect was investigated for the entire aneurysm (AAA), and part of the aneurysm excluding the region close to the bone (AAAexc). Quantifications of PSF and PSF+BC images using different thresholds (% of max. SUV in target regions-of-interest) to derive target-to-background (TBR) values (TBRmax, TBR90, TBR70 and TBR50) were compared at 3 and 10 iterations. Results: TBR differences were observed between AAA and AAAexc due to spill-in effect from the bone into the aneurysm. TBRmax showed the highest sensitivity to the spill-in effect while TBR50 showed the least. The spill-in effect was reduced at 10 iterations compared to 3 iterations, but at the expense of reduced contrast-to-noise ratio (CNR). TBR50 yielded the best trade-off between increased CNR and reduced spill-in effect. PSF+BC method reduced TBR sensitivity to spill-in effect, especially at 3 iterations, compared to PSF (P-value ≤ 0.05). Conclusion: TBR50 is robust metric for reduced spill-in and increased CNR
Publication status:
Published
Peer review status:
Peer reviewed

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Author
ORCID:
0000-0001-8856-8183
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Role:
Author
ORCID:
0000-0003-4062-6457
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Role:
Author
ORCID:
0000-0002-3311-9599
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Role:
Author
ORCID:
0000-0003-0530-8306
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Role:
Author
ORCID:
0000-0001-7326-3053


Publisher:
Elsevier
Journal:
Journal of Nuclear Cardiology More from this journal
Volume:
29
Issue:
1
Pages:
251-261
Publication date:
2020-06-17
DOI:
EISSN:
1532-6551
ISSN:
1071-3581


Language:
English
Keywords:
Pubs id:
1504698
Local pid:
pubs:1504698
Source identifiers:
W3036592695
Deposit date:
2026-05-12
ARK identifier:
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