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Phantom-based acquisition time and image reconstruction parameter optimisation for oncologic FDG PET/CT examinations using a digital system

BACKGROUND: New-generation silicon-photomultiplier (SiPM)-based PET/CT systems exhibit an improved lesion detectability and image quality due to a higher detector sensitivity. Consequently, the acquisition time can be reduced while maintaining diagnostic quality. The aim of this study was to determi...

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Autores principales: Fragoso Costa, Pedro, Jentzen, Walter, Brahmer, Alissa, Mavroeidi, Ilektra-Antonia, Zarrad, Fadi, Umutlu, Lale, Fendler, Wolfgang P., Rischpler, Christoph, Herrmann, Ken, Conti, Maurizio, Seifert, Robert, Sraieb, Miriam, Weber, Manuel, Kersting, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387080/
https://www.ncbi.nlm.nih.gov/pubmed/35978274
http://dx.doi.org/10.1186/s12885-022-09993-4
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author Fragoso Costa, Pedro
Jentzen, Walter
Brahmer, Alissa
Mavroeidi, Ilektra-Antonia
Zarrad, Fadi
Umutlu, Lale
Fendler, Wolfgang P.
Rischpler, Christoph
Herrmann, Ken
Conti, Maurizio
Seifert, Robert
Sraieb, Miriam
Weber, Manuel
Kersting, David
author_facet Fragoso Costa, Pedro
Jentzen, Walter
Brahmer, Alissa
Mavroeidi, Ilektra-Antonia
Zarrad, Fadi
Umutlu, Lale
Fendler, Wolfgang P.
Rischpler, Christoph
Herrmann, Ken
Conti, Maurizio
Seifert, Robert
Sraieb, Miriam
Weber, Manuel
Kersting, David
author_sort Fragoso Costa, Pedro
collection PubMed
description BACKGROUND: New-generation silicon-photomultiplier (SiPM)-based PET/CT systems exhibit an improved lesion detectability and image quality due to a higher detector sensitivity. Consequently, the acquisition time can be reduced while maintaining diagnostic quality. The aim of this study was to determine the lowest (18)F-FDG PET acquisition time without loss of diagnostic information and to optimise image reconstruction parameters (image reconstruction algorithm, number of iterations, voxel size, Gaussian filter) by phantom imaging. Moreover, patient data are evaluated to confirm the phantom results. METHODS: Three phantoms were used: a soft-tissue tumour phantom, a bone-lung tumour phantom, and a resolution phantom. Phantom conditions (lesion sizes from 6.5 mm to 28.8 mm in diameter, lesion activity concentration of 15 kBq/mL, and signal-to-background ratio of 5:1) were derived from patient data. PET data were acquired on an SiPM-based Biograph Vision PET/CT system for 10 min in list-mode format and resampled into time frames from 30 to 300 s in 30-s increments to simulate different acquisition times. Different image reconstructions with varying iterations, voxel sizes, and Gaussian filters were probed. Contrast-to-noise-ratio (CNR), maximum, and peak signal were evaluated using the 10-min acquisition time image as reference. A threshold CNR value ≥ 5 and a maximum (peak) deviation of ± 20% were considered acceptable. 20 patient data sets were evaluated regarding lesion quantification as well as agreement and correlation between reduced and full acquisition time standard uptake values (assessed by Pearson correlation coefficient, intraclass correlation coefficient, Bland–Altman analyses, and Krippendorff’s alpha). RESULTS: An acquisition time of 60 s per bed position yielded acceptable detectability and quantification results for clinically relevant phantom lesions ≥ 9.7 mm in diameter using OSEM-TOF or OSEM-TOF+PSF image reconstruction, a 4-mm Gaussian filter, and a 1.65 × 1.65 x 2.00-mm(3) or 3.30 × 3.30 x 3.00-mm(3) voxel size. Correlation and agreement of patient lesion quantification between full and reduced acquisition times were excellent. CONCLUSION: A threefold reduction in acquisition time is possible. Patients might benefit from more comfortable examinations or reduced radiation exposure, if instead of the acquisition time the applied activity is reduced. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09993-4.
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spelling pubmed-93870802022-08-19 Phantom-based acquisition time and image reconstruction parameter optimisation for oncologic FDG PET/CT examinations using a digital system Fragoso Costa, Pedro Jentzen, Walter Brahmer, Alissa Mavroeidi, Ilektra-Antonia Zarrad, Fadi Umutlu, Lale Fendler, Wolfgang P. Rischpler, Christoph Herrmann, Ken Conti, Maurizio Seifert, Robert Sraieb, Miriam Weber, Manuel Kersting, David BMC Cancer Research BACKGROUND: New-generation silicon-photomultiplier (SiPM)-based PET/CT systems exhibit an improved lesion detectability and image quality due to a higher detector sensitivity. Consequently, the acquisition time can be reduced while maintaining diagnostic quality. The aim of this study was to determine the lowest (18)F-FDG PET acquisition time without loss of diagnostic information and to optimise image reconstruction parameters (image reconstruction algorithm, number of iterations, voxel size, Gaussian filter) by phantom imaging. Moreover, patient data are evaluated to confirm the phantom results. METHODS: Three phantoms were used: a soft-tissue tumour phantom, a bone-lung tumour phantom, and a resolution phantom. Phantom conditions (lesion sizes from 6.5 mm to 28.8 mm in diameter, lesion activity concentration of 15 kBq/mL, and signal-to-background ratio of 5:1) were derived from patient data. PET data were acquired on an SiPM-based Biograph Vision PET/CT system for 10 min in list-mode format and resampled into time frames from 30 to 300 s in 30-s increments to simulate different acquisition times. Different image reconstructions with varying iterations, voxel sizes, and Gaussian filters were probed. Contrast-to-noise-ratio (CNR), maximum, and peak signal were evaluated using the 10-min acquisition time image as reference. A threshold CNR value ≥ 5 and a maximum (peak) deviation of ± 20% were considered acceptable. 20 patient data sets were evaluated regarding lesion quantification as well as agreement and correlation between reduced and full acquisition time standard uptake values (assessed by Pearson correlation coefficient, intraclass correlation coefficient, Bland–Altman analyses, and Krippendorff’s alpha). RESULTS: An acquisition time of 60 s per bed position yielded acceptable detectability and quantification results for clinically relevant phantom lesions ≥ 9.7 mm in diameter using OSEM-TOF or OSEM-TOF+PSF image reconstruction, a 4-mm Gaussian filter, and a 1.65 × 1.65 x 2.00-mm(3) or 3.30 × 3.30 x 3.00-mm(3) voxel size. Correlation and agreement of patient lesion quantification between full and reduced acquisition times were excellent. CONCLUSION: A threefold reduction in acquisition time is possible. Patients might benefit from more comfortable examinations or reduced radiation exposure, if instead of the acquisition time the applied activity is reduced. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09993-4. BioMed Central 2022-08-18 /pmc/articles/PMC9387080/ /pubmed/35978274 http://dx.doi.org/10.1186/s12885-022-09993-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fragoso Costa, Pedro
Jentzen, Walter
Brahmer, Alissa
Mavroeidi, Ilektra-Antonia
Zarrad, Fadi
Umutlu, Lale
Fendler, Wolfgang P.
Rischpler, Christoph
Herrmann, Ken
Conti, Maurizio
Seifert, Robert
Sraieb, Miriam
Weber, Manuel
Kersting, David
Phantom-based acquisition time and image reconstruction parameter optimisation for oncologic FDG PET/CT examinations using a digital system
title Phantom-based acquisition time and image reconstruction parameter optimisation for oncologic FDG PET/CT examinations using a digital system
title_full Phantom-based acquisition time and image reconstruction parameter optimisation for oncologic FDG PET/CT examinations using a digital system
title_fullStr Phantom-based acquisition time and image reconstruction parameter optimisation for oncologic FDG PET/CT examinations using a digital system
title_full_unstemmed Phantom-based acquisition time and image reconstruction parameter optimisation for oncologic FDG PET/CT examinations using a digital system
title_short Phantom-based acquisition time and image reconstruction parameter optimisation for oncologic FDG PET/CT examinations using a digital system
title_sort phantom-based acquisition time and image reconstruction parameter optimisation for oncologic fdg pet/ct examinations using a digital system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387080/
https://www.ncbi.nlm.nih.gov/pubmed/35978274
http://dx.doi.org/10.1186/s12885-022-09993-4
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