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Authors
Sartoretti, Thomas
Skawran, Stephan
Gennari, Antonio G.
Maurer, Alexander
Euler, André
Treyer, Valerie
Sartoretti, Elisabeth
Waelti, Stephan
Schwyzer, Moritz
von Schulthess, Gustav K.
Burger, Irene A.
Huellner, Martin W.
Messerli, Michael
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Funding
Funding for this research was provided by:
Palatin Foundation Switzerland
CRPP AI Oncological Imaging Network of the University of Zurich
Iten-Kohaut Foundation, Switzerland
University of Zurich
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Article History
Received: 9 December 2022
Revised: 15 April 2023
Accepted: 15 May 2023
First Online: 30 August 2023
Declarations
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: The scientific guarantor of this publication is PD Dr. Michael Messerli.
: The University Hospital of Zurich holds a research agreement with GE healthcare (unrelated to current study). Other than that, the authors declare that they have no competing interests.
: One of the authors has significant statistical expertise.
: Written informed consent was obtained from all subjects (patients) in this study.
: Institutional Review Board approval was obtained (Trial registration: BASEC 2021–00444, Ethikkommission Zürich (Cantonal Ethics Committee Zurich), Switzerland, registered February 24th 2021).
: Some study subjects or cohorts have been previously reported in “Automated F18-FDG PET/CT image quality assessment using deep neural networks on a latest 6-ring digital detector system” (Scientific reports, ).
: • retrospective• experimental• performed at one institution
