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Impact of PET reconstruction protocols on quantification of lesions that fulfil the PERCIST lesion inclusion criteria

BACKGROUND: The aim of this study was to compare liver and oncologic lesion standardized uptake values (SUV) obtained through two different reconstruction protocols, GE’s newest clinical lesion detection protocol (Q.Clear) and the EANM Research Ltd (EARL) harmonization protocol, and to assess the cl...

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Autores principales: Devriese, Joke, Beels, Laurence, Maes, Alex, Van de Wiele, Christophe, Pottel, Hans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283809/
https://www.ncbi.nlm.nih.gov/pubmed/30523429
http://dx.doi.org/10.1186/s40658-018-0235-6
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author Devriese, Joke
Beels, Laurence
Maes, Alex
Van de Wiele, Christophe
Pottel, Hans
author_facet Devriese, Joke
Beels, Laurence
Maes, Alex
Van de Wiele, Christophe
Pottel, Hans
author_sort Devriese, Joke
collection PubMed
description BACKGROUND: The aim of this study was to compare liver and oncologic lesion standardized uptake values (SUV) obtained through two different reconstruction protocols, GE’s newest clinical lesion detection protocol (Q.Clear) and the EANM Research Ltd (EARL) harmonization protocol, and to assess the clinical relevance of potential differences and possible implications for daily clinical practice using the PERCIST lesional inclusion criteria. NEMA phantom recovery coefficients (RC) and SUV normalized for lean body mass (LBM), referred to as SUV normalized for LBM (SUL), of liver and lesion volumes of interest were compared between the two reconstruction protocols. Head-to-toe PET/CT examinations and raw data from 64 patients were retrospectively retrieved. PET image reconstruction was carried out twice: once optimized for quantification, complying with EARL accreditation requirements, and once optimized for lesion detection, according to GE’s Q.Clear reconstruction settings. RESULTS: The two reconstruction protocols showed different NEMA phantom RC values for different sphere sizes. Q.Clear values were always highest and exceeded the EARL accreditation maximum for smaller spheres. Comparison of liver SUL(mean) showed a statistically significant but clinically irrelevant difference between both protocols. Comparison of lesion SUL(peak) and SUL(max) showed a statistically significant, and clinically relevant, difference of 1.64 and 4.57, respectively. CONCLUSIONS: For treatment response assessment using PERCIST criteria, the harmonization reconstruction protocol should be used as the lesion detection reconstruction protocol using resolution recovery systematically overestimates true SUL values.
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spelling pubmed-62838092018-12-26 Impact of PET reconstruction protocols on quantification of lesions that fulfil the PERCIST lesion inclusion criteria Devriese, Joke Beels, Laurence Maes, Alex Van de Wiele, Christophe Pottel, Hans EJNMMI Phys Original Research BACKGROUND: The aim of this study was to compare liver and oncologic lesion standardized uptake values (SUV) obtained through two different reconstruction protocols, GE’s newest clinical lesion detection protocol (Q.Clear) and the EANM Research Ltd (EARL) harmonization protocol, and to assess the clinical relevance of potential differences and possible implications for daily clinical practice using the PERCIST lesional inclusion criteria. NEMA phantom recovery coefficients (RC) and SUV normalized for lean body mass (LBM), referred to as SUV normalized for LBM (SUL), of liver and lesion volumes of interest were compared between the two reconstruction protocols. Head-to-toe PET/CT examinations and raw data from 64 patients were retrospectively retrieved. PET image reconstruction was carried out twice: once optimized for quantification, complying with EARL accreditation requirements, and once optimized for lesion detection, according to GE’s Q.Clear reconstruction settings. RESULTS: The two reconstruction protocols showed different NEMA phantom RC values for different sphere sizes. Q.Clear values were always highest and exceeded the EARL accreditation maximum for smaller spheres. Comparison of liver SUL(mean) showed a statistically significant but clinically irrelevant difference between both protocols. Comparison of lesion SUL(peak) and SUL(max) showed a statistically significant, and clinically relevant, difference of 1.64 and 4.57, respectively. CONCLUSIONS: For treatment response assessment using PERCIST criteria, the harmonization reconstruction protocol should be used as the lesion detection reconstruction protocol using resolution recovery systematically overestimates true SUL values. Springer International Publishing 2018-12-07 /pmc/articles/PMC6283809/ /pubmed/30523429 http://dx.doi.org/10.1186/s40658-018-0235-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Devriese, Joke
Beels, Laurence
Maes, Alex
Van de Wiele, Christophe
Pottel, Hans
Impact of PET reconstruction protocols on quantification of lesions that fulfil the PERCIST lesion inclusion criteria
title Impact of PET reconstruction protocols on quantification of lesions that fulfil the PERCIST lesion inclusion criteria
title_full Impact of PET reconstruction protocols on quantification of lesions that fulfil the PERCIST lesion inclusion criteria
title_fullStr Impact of PET reconstruction protocols on quantification of lesions that fulfil the PERCIST lesion inclusion criteria
title_full_unstemmed Impact of PET reconstruction protocols on quantification of lesions that fulfil the PERCIST lesion inclusion criteria
title_short Impact of PET reconstruction protocols on quantification of lesions that fulfil the PERCIST lesion inclusion criteria
title_sort impact of pet reconstruction protocols on quantification of lesions that fulfil the percist lesion inclusion criteria
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283809/
https://www.ncbi.nlm.nih.gov/pubmed/30523429
http://dx.doi.org/10.1186/s40658-018-0235-6
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