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SUVref: reducing reconstruction-dependent variation in PET SUV
BACKGROUND: We propose a new methodology, reference Standardised Uptake Value (SUV(ref)), for reducing the quantitative variation resulting from differences in reconstruction protocol. Such variation that is not directly addressed by the use of SUV or the recently proposed PERCIST can impede compara...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251007/ https://www.ncbi.nlm.nih.gov/pubmed/22214348 http://dx.doi.org/10.1186/2191-219X-1-16 |
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author | Kelly, Matthew D Declerck, Jerome M |
author_facet | Kelly, Matthew D Declerck, Jerome M |
author_sort | Kelly, Matthew D |
collection | PubMed |
description | BACKGROUND: We propose a new methodology, reference Standardised Uptake Value (SUV(ref)), for reducing the quantitative variation resulting from differences in reconstruction protocol. Such variation that is not directly addressed by the use of SUV or the recently proposed PERCIST can impede comparability between positron emission tomography (PET)/CT scans. METHODS: SUV(ref )applies a reconstruction-protocol-specific phantom-optimised filter to clinical PET scans for the purpose of improving comparability of quantification. The ability of this filter to reduce variability due to differences in reconstruction protocol was assessed using both phantom and clinical data. RESULTS: SUV(ref )reduced the variability between recovery coefficients measured with the NEMA image quality phantom across a range of reconstruction protocols to below that measured for a single reconstruction protocol. In addition, it enabled quantitative conformance to the recently proposed EANM guidelines. For the clinical data, a significant reduction in bias and variance in the distribution of differences in SUV, resulting from differences in reconstruction protocol, greatly reduced the number of hot spots that would be misclassified as undergoing a clinically significant change in SUV. CONCLUSIONS: SUV(ref )significantly reduces reconstruction-dependent variation in SUV measurements, enabling increased confidence in quantitative comparison of clinical images for monitoring treatment response or disease progression. This new methodology could be similarly applied to reduce variability from scanner hardware. |
format | Online Article Text |
id | pubmed-3251007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Springer |
record_format | MEDLINE/PubMed |
spelling | pubmed-32510072012-02-03 SUVref: reducing reconstruction-dependent variation in PET SUV Kelly, Matthew D Declerck, Jerome M EJNMMI Res Original Research BACKGROUND: We propose a new methodology, reference Standardised Uptake Value (SUV(ref)), for reducing the quantitative variation resulting from differences in reconstruction protocol. Such variation that is not directly addressed by the use of SUV or the recently proposed PERCIST can impede comparability between positron emission tomography (PET)/CT scans. METHODS: SUV(ref )applies a reconstruction-protocol-specific phantom-optimised filter to clinical PET scans for the purpose of improving comparability of quantification. The ability of this filter to reduce variability due to differences in reconstruction protocol was assessed using both phantom and clinical data. RESULTS: SUV(ref )reduced the variability between recovery coefficients measured with the NEMA image quality phantom across a range of reconstruction protocols to below that measured for a single reconstruction protocol. In addition, it enabled quantitative conformance to the recently proposed EANM guidelines. For the clinical data, a significant reduction in bias and variance in the distribution of differences in SUV, resulting from differences in reconstruction protocol, greatly reduced the number of hot spots that would be misclassified as undergoing a clinically significant change in SUV. CONCLUSIONS: SUV(ref )significantly reduces reconstruction-dependent variation in SUV measurements, enabling increased confidence in quantitative comparison of clinical images for monitoring treatment response or disease progression. This new methodology could be similarly applied to reduce variability from scanner hardware. Springer 2011-08-18 /pmc/articles/PMC3251007/ /pubmed/22214348 http://dx.doi.org/10.1186/2191-219X-1-16 Text en Copyright © 2011 Kelly and Declerck; licensee Springer. https://creativecommons.org/licenses/by/2.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Kelly, Matthew D Declerck, Jerome M SUVref: reducing reconstruction-dependent variation in PET SUV |
title | SUVref: reducing reconstruction-dependent variation in PET SUV |
title_full | SUVref: reducing reconstruction-dependent variation in PET SUV |
title_fullStr | SUVref: reducing reconstruction-dependent variation in PET SUV |
title_full_unstemmed | SUVref: reducing reconstruction-dependent variation in PET SUV |
title_short | SUVref: reducing reconstruction-dependent variation in PET SUV |
title_sort | suvref: reducing reconstruction-dependent variation in pet suv |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251007/ https://www.ncbi.nlm.nih.gov/pubmed/22214348 http://dx.doi.org/10.1186/2191-219X-1-16 |
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