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Evaluation of PET quantitation accuracy among multiple discovery IQ PET/CT systems via NEMA image quality test

INTRODUCTION: Quantitative imaging biomarkers are becoming usual in oncology for assessing therapy response. The harmonization of image quantitation reporting has become of utmost importance due to the multi-center trials increase. The NEMA image quality test is often considered for the evaluation o...

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Autores principales: Vallot, Delphine, De Ponti, Elena, Morzenti, Sabrina, Gramek, Anna, Pieczonka, Anna, Llompart, Gabriel Reynés, Siennicki, Jakub, Deak, Paul, Dutta, Chiranjib, Uribe, Jorge, Caselles, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218035/
https://www.ncbi.nlm.nih.gov/pubmed/32399647
http://dx.doi.org/10.1186/s40658-020-00294-y
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author Vallot, Delphine
De Ponti, Elena
Morzenti, Sabrina
Gramek, Anna
Pieczonka, Anna
Llompart, Gabriel Reynés
Siennicki, Jakub
Deak, Paul
Dutta, Chiranjib
Uribe, Jorge
Caselles, Olivier
author_facet Vallot, Delphine
De Ponti, Elena
Morzenti, Sabrina
Gramek, Anna
Pieczonka, Anna
Llompart, Gabriel Reynés
Siennicki, Jakub
Deak, Paul
Dutta, Chiranjib
Uribe, Jorge
Caselles, Olivier
author_sort Vallot, Delphine
collection PubMed
description INTRODUCTION: Quantitative imaging biomarkers are becoming usual in oncology for assessing therapy response. The harmonization of image quantitation reporting has become of utmost importance due to the multi-center trials increase. The NEMA image quality test is often considered for the evaluation of quantitation and is more accurate with a radioactive solid phantom that reduces variability. The goal of this project is to determine the level of variability among imaging centers if acquisition and imaging protocol parameters are left to the center’s preference while all other parameters are fixed including the scanner type. METHODS: A NEMA-IQ phantom filled with radioactive (68)Ge solid resin was imaged in five clinical sites throughout Europe. Sites reconstructed data with OSEM and BSREM algorithms applying the sites’ clinical parameters. Images were analyzed according with the NEMA-NU2-2012 standard using the manufacturer-provided NEMA tools to calculate contrast recovery (CR) and background variability (BV) for each sphere and the lung error (LE) estimation. In addition, a (18)F-filled NEMA-IQ phantom was also evaluated to obtain a gauge for variability among centers when the sites were provided with identical specific instructions for acquisition and reconstruction protocol (the aggregate of data from 12 additional sites is presented). RESULTS: The data using the (68)Ge solid phantom showed no statistical differences among different sites, proving a very good reproducibility among the PET center models even if dispersion of data is higher with OSEM compared to BSREM. Furthermore, BSREM shows better CR and comparable BV, while LE is slightly reduced. Two centers exhibit significant differences in CR and BV values for the (18)F NEMA NU2-2012 experiments; these outlier results are explained. CONCLUSION: The same PET system type from the various sites produced similar quantitative results, despite allowing each site to choose their clinical protocols with no restriction on data acquisition and reconstruction parameters. BSREM leads to lower dispersion of quantitative data among different sites. A solid radioactive phantom may be recommended to qualify the sites to perform quantitative imaging.
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spelling pubmed-72180352020-05-15 Evaluation of PET quantitation accuracy among multiple discovery IQ PET/CT systems via NEMA image quality test Vallot, Delphine De Ponti, Elena Morzenti, Sabrina Gramek, Anna Pieczonka, Anna Llompart, Gabriel Reynés Siennicki, Jakub Deak, Paul Dutta, Chiranjib Uribe, Jorge Caselles, Olivier EJNMMI Phys Original Research INTRODUCTION: Quantitative imaging biomarkers are becoming usual in oncology for assessing therapy response. The harmonization of image quantitation reporting has become of utmost importance due to the multi-center trials increase. The NEMA image quality test is often considered for the evaluation of quantitation and is more accurate with a radioactive solid phantom that reduces variability. The goal of this project is to determine the level of variability among imaging centers if acquisition and imaging protocol parameters are left to the center’s preference while all other parameters are fixed including the scanner type. METHODS: A NEMA-IQ phantom filled with radioactive (68)Ge solid resin was imaged in five clinical sites throughout Europe. Sites reconstructed data with OSEM and BSREM algorithms applying the sites’ clinical parameters. Images were analyzed according with the NEMA-NU2-2012 standard using the manufacturer-provided NEMA tools to calculate contrast recovery (CR) and background variability (BV) for each sphere and the lung error (LE) estimation. In addition, a (18)F-filled NEMA-IQ phantom was also evaluated to obtain a gauge for variability among centers when the sites were provided with identical specific instructions for acquisition and reconstruction protocol (the aggregate of data from 12 additional sites is presented). RESULTS: The data using the (68)Ge solid phantom showed no statistical differences among different sites, proving a very good reproducibility among the PET center models even if dispersion of data is higher with OSEM compared to BSREM. Furthermore, BSREM shows better CR and comparable BV, while LE is slightly reduced. Two centers exhibit significant differences in CR and BV values for the (18)F NEMA NU2-2012 experiments; these outlier results are explained. CONCLUSION: The same PET system type from the various sites produced similar quantitative results, despite allowing each site to choose their clinical protocols with no restriction on data acquisition and reconstruction parameters. BSREM leads to lower dispersion of quantitative data among different sites. A solid radioactive phantom may be recommended to qualify the sites to perform quantitative imaging. Springer International Publishing 2020-05-12 /pmc/articles/PMC7218035/ /pubmed/32399647 http://dx.doi.org/10.1186/s40658-020-00294-y Text en © The Author(s) 2020 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/.
spellingShingle Original Research
Vallot, Delphine
De Ponti, Elena
Morzenti, Sabrina
Gramek, Anna
Pieczonka, Anna
Llompart, Gabriel Reynés
Siennicki, Jakub
Deak, Paul
Dutta, Chiranjib
Uribe, Jorge
Caselles, Olivier
Evaluation of PET quantitation accuracy among multiple discovery IQ PET/CT systems via NEMA image quality test
title Evaluation of PET quantitation accuracy among multiple discovery IQ PET/CT systems via NEMA image quality test
title_full Evaluation of PET quantitation accuracy among multiple discovery IQ PET/CT systems via NEMA image quality test
title_fullStr Evaluation of PET quantitation accuracy among multiple discovery IQ PET/CT systems via NEMA image quality test
title_full_unstemmed Evaluation of PET quantitation accuracy among multiple discovery IQ PET/CT systems via NEMA image quality test
title_short Evaluation of PET quantitation accuracy among multiple discovery IQ PET/CT systems via NEMA image quality test
title_sort evaluation of pet quantitation accuracy among multiple discovery iq pet/ct systems via nema image quality test
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218035/
https://www.ncbi.nlm.nih.gov/pubmed/32399647
http://dx.doi.org/10.1186/s40658-020-00294-y
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