TY - JOUR
T1 - Assessment of different quantification metrics of [18F]-NaF PET/CT images of patients with abdominal aortic aneurysm
AU - Akerele, Mercy I.
AU - Mushari, Nouf A.
AU - Forsythe, Rachael O.
AU - Syed, Maaz
AU - Karakatsanis, Nicolas A.
AU - Newby, David E.
AU - Dweck, Marc R.
AU - Tsoumpas, Charalampos
N1 - Publisher Copyright:
© 2020, The Author(s).
PY - 2022/2
Y1 - 2022/2
N2 - 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.
AB - 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.
KW - Abdominal aortic aneurysm
KW - background correction
KW - spill-in effect
KW - target-to-background ratio
UR - http://www.scopus.com/inward/record.url?scp=85086717333&partnerID=8YFLogxK
U2 - 10.1007/s12350-020-02220-2
DO - 10.1007/s12350-020-02220-2
M3 - Article
C2 - 32557152
AN - SCOPUS:85086717333
SN - 1071-3581
VL - 29
SP - 251
EP - 261
JO - Journal of Nuclear Cardiology
JF - Journal of Nuclear Cardiology
IS - 1
ER -