Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Tytuł pozycji:

Can Q.Clear reconstruction be used to improve [68 Ga]Ga-DOTANOC PET/CT image quality in overweight NEN patients?

Tytuł:
Can Q.Clear reconstruction be used to improve [68 Ga]Ga-DOTANOC PET/CT image quality in overweight NEN patients?
Autorzy:
Zanoni L; Nuclear Medicine, IRCCS, Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.
Argalia G; Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy. .
Fortunati E; Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
Malizia C; Nuclear Medicine, IRCCS, Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.
Allegri V; Nuclear Medicine, IRCCS, Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.
Calabrò D; Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
Civollani S; Nuclear Medicine, IRCCS, Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.
Campana D; Oncology, IRCCS, Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.; Oncology, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
Fanti S; Nuclear Medicine, IRCCS, Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.; Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
Ambrosini V; Nuclear Medicine, IRCCS, Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.; Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.
Źródło:
European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2022 Apr; Vol. 49 (5), pp. 1607-1612. Date of Electronic Publication: 2021 Oct 25.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: Berlin : Springer-Verlag Berlin, 2002-
MeSH Terms:
Positron Emission Tomography Computed Tomography*/methods
Radiopharmaceuticals*
Humans ; Middle Aged ; Obesity/complications ; Obesity/diagnostic imaging ; Overweight ; Prospective Studies
References:
Obesity and overweight. In World Health Organization. 2021. https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight . Accessed 3 Aug 2021.
Sánchez-Jurado R, Devis M, Sanz R, Aguilar JE, del Puig CM, Ferrer-Rebolleda J. Whole-body PET/CT studies with lowered Ga-DOTATATE PET/CT studies? EJNMMI Phys. 2021. https://doi.org/10.1186/s40658-021-00359-6 . (PMID: 10.1186/s40658-021-00359-6344366988390741)
Lantos J, Mittra ES, Levin CS, Iagaru A. Standard OSEM vs. regularized PET image reconstruction: qualitative and quantitative comparison using phantom data and various clinical radiopharmaceuticals. Am J Nucl Med Mol Imaging. 2018;8(2):110–18.
Adler S, Seidel J, Choyke P, Knopp MV, Binzel K, Zhang J, Barker C, Conant S, Maass-Moreno R. Minimum lesion detectability as a measure of PET system performance. EJNMMI Phys. 2017. https://doi.org/10.1186/s40658-017-0179-2 . (PMID: 10.1186/s40658-017-0179-2282602155337231)
Adams MC, Turkington TG, Wilson JM, Wong TZ. A systematic review of the factors affecting accuracy of SUV measurements. AJR Am J Roentgenol. 2010. https://doi.org/10.2214/AJR.10.4923 Erratum in: AJR Am J Roentgenol. 2010. (PMID: 10.2214/AJR.10.492320651185)
Cheson BD. Staging and response assessment in lymphomas: the new Lugano classification. Chin Clin Oncol. 2015. https://doi.org/10.3978/j.issn.2304-3865.2014.11.03 . (PMID: 10.3978/j.issn.2304-3865.2014.11.0325841712)
Contributed Indexing:
Keywords: Image quality*; NEN*; Obesity*; Overweight*; Q.Clear*; [68 Ga]Ga-DOTANOC PET/CT*
Substance Nomenclature:
0 (Radiopharmaceuticals)
Entry Date(s):
Date Created: 20211025 Date Completed: 20220428 Latest Revision: 20220504
Update Code:
20240105
DOI:
10.1007/s00259-021-05592-w
PMID:
34693467
Czasopismo naukowe
Aim/introduction: Digital PET/CT allows Q.Clear image reconstruction with different Beta (β) levels. However, no definitive standard β level for [68 Ga]Ga-DOTANOC PET/CT has been established yet. As patient's body mass index (BMI) can affect image quality, the aim of the study was to visually and semi-quantitatively assess different β levels compared to standard OSEM in overweight patients.
Materials and Methods: Inclusion criteria: (1) patients with NEN included in a prospective CE-approved electronic archive; (2) [68 Ga]Ga-DOTANOC PET/CT performed on a digital tomograph between September2019/March2021; (3) BMI ≥ 25. Images were acquired following EANM guidelines and reconstructed with OSEM and Q.Clear with three β levels (800, 1000, 1600). Scans were independently reviewed by three expert readers, unaware of clinical data, who independently chose the preferred β level reconstruction for visual overall image quality. Semi-quantitative analysis was performed on each scan: SUVmax of the highest uptake lesion (SUVmax-T), liver background SUVmean (SUVmean-L), SUVmax-T/SUVmean-L, Signal-to-noise ratio for both liver (LSNR) and the highest uptake lesion (SNR-T), Contrast-to-noise ratio (CNR).
Results: Overall, 75 patients (median age: 63 years old [23-87]) were included: pre-obesity sub-group (25 ≤ BMI < 30, n = 50) and obesity sub-group (BMI ≥ 30, n = 25). PET/CT was positive for disease in 45/75 (60.0%) cases (14 obese and 31 pre-obese patients). Agreement among readers' visual rating was high (Fleiss κ = 0.88) and the β1600 was preferred in most cases (in 96% of obese patients and in 53.3% of pre-obese cases). OSEM was considered visually equal to β1600 in 44.7% of pre-obese cases and in 4% of obese patients. In a minority of pre-obese cases, OSEM was preferred (2%). In the whole population, CNR, SNR-T and LSNR were significantly different (p < 0.001) between OSEM and β1600, conversely to SUVmean-L (not significant). These results were also confirmed when calculated separately for the pre-obesity and obesity sub-groups β800 and β1000 were always rated inferior.
Conclusions: Q.Clear is a new technology for PET/CT image reconstruction that can be used to increase CNR and SNR-T, to subsequently optimise overall image quality as compared to standard OSEM. Our preliminary data on [68 Ga]Ga-DOTANOC PET/CT demonstrate that in overweight NEN patients, β1600 is preferable over β800 and β1000. Further studies are warranted to validate these results in lesions of different anatomical region and size; moreover, currently employed interpretative PET positivity criteria should be adjusted to the new reconstruction method.
(© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Zaloguj się, aby uzyskać dostęp do pełnego tekstu.

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies