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@ARTICLE{Sachpekidis:186247,
author = {C. Sachpekidis$^*$ and L. Pan$^*$ and A. Kopp-Schneider$^*$
and V. Weru$^*$ and J. C. Hassel and A.
Dimitrakopoulou-Strauss$^*$},
title = {{A}pplication of the long axial field-of-view {PET}/{CT}
with low-dose [18{F}]{FDG} in melanoma.},
journal = {European journal of nuclear medicine and molecular imaging},
volume = {50},
number = {4},
issn = {1619-7070},
address = {Heidelberg [u.a.]},
publisher = {Springer-Verl.},
reportid = {DKFZ-2022-03041},
pages = {1158-1167},
year = {2023},
note = {#EA:E060#LA:E060# / 2023 Mar;50(4):1158-1167},
abstract = {The recent introduction of long axial field-of-view (LAFOV)
PET/CT scanners has yielded very promising results regarding
image quality and sensitivity in oncological patients. We,
herein, aim to determine an appropriate acquisition time
range for the new long axial field of view Biograph Vision
Quadra PET/CT (Siemens Healthcare) using low dose [18F]FDG
activity in a group of melanoma patients.Forty-nine melanoma
patients were enrolled in the study. All patients underwent
total body PET/CT from the top of the head through the feet
in two bed positions (field-of-view 106 cm) after i.v.
injection of 2.0 MBq/kg [18F]FDG. The PET images of the
first bed position (head to upper thigh; PET-10) were
reconstructed and further split into 8-min (PET-8), 6-min
(PET-6), 5-min (PET-5), 4-min (PET-4), and 2-min (PET-2)
duration groups. Comparisons were performed between the
different reconstructed scan times with regard to the visual
evaluation of the PET/CT scans using the PET-10 images as
reference and by calculating the $95\%-CI$ for the
differences between different time acquisitions. Moreover,
objective evaluation of PET/CT image quality was performed
based on SUV calculations of tumor lesions and background,
leading to calculation of liver signal-to-noise ratio (SNR),
and tumor-to-background ratio (TBR).A total of 60 scans were
evaluated. Concerning visual analysis, 49/60 $(81.7\%)$
PET-10 scans were pathological, while the respective
frequencies were 49/60 $(81.7\%)$ for PET-8 $(95\%-CI:$ -
0.0602-0.0602), 49/60 $(81.7\%)$ for PET-6 $(95\%-CI:$ -
0.0602-0.0602), 48/60 $(80\%)$ for PET-5 $(95\%-CI:$ -
0.0445-0.0886), 46/60 $(76.7\%)$ for PET-4 $(95\%-CI:$ -
0.0132-0.1370), and 45/60 $(75\%)$ for PET-2 $(95\%-CI:$
0.0025-0.1593). In 18 PET-10 scans, the extent of metastatic
involvement was very large, rendering the accurate
calculation of [18F]FDG-avid tumor lesions very complicated.
In the remaining 42 PET-10 scans, for which the exact
calculation of tumor lesions was feasible, a total of 119
tumor lesions were counted, and the respective lesion
detection rates for shorter acquisitions were as follows:
$97.5\%$ (116/119) for PET-8 $(95\%-CI:$ 0-1), $95.0\%$
(113/119) for PET-6 $(95\%-CI:$ 0-1), $89.9\%$ (107/119) for
PET-5 $(95\%-CI:$ 0-2), $83.2\%$ (99/119) for PET-4
$(95\%-CI:$ 1-2), and $73.9\%$ (88/119) for PET-2
$(95\%-CI:$ 2-4). With regard to objective image quality
evaluations, as a general trend, the reduction of
acquisition time was associated with a decrease of liver SNR
and a decrease of TBR, although in lesion-based analysis the
change in TBR and tumor SUVmean values was non-significant
up to 6 and 5 min acquisitions, respectively.In melanoma,
low-dose LAFOV PET/CT imaging is feasible and can reduce the
total scan time from head to upper thigh up to 5 min
providing comparable diagnostic data to standard lengths of
acquisition. This may have significant implications for the
diagnostic work-up of patients with melanoma, given the need
for true whole-body imaging in this type of cancer.},
keywords = {LAFOV PET/CT (Other) / Melanoma (Other) / SUV (Other) /
Total body (Other) / Whole-body (Other) / [18F]FDG (Other)},
cin = {E060 / C060},
ddc = {610},
cid = {I:(DE-He78)E060-20160331 / I:(DE-He78)C060-20160331},
pnm = {315 - Bildgebung und Radioonkologie (POF4-315)},
pid = {G:(DE-HGF)POF4-315},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:36474125},
doi = {10.1007/s00259-022-06070-7},
url = {https://inrepo02.dkfz.de/record/186247},
}