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Assessment of different regions of interest-based methods for [99mTc]Tc DAT-SPECT quantification using an anthropomorphic striatal phantom

BACKGROUND AND AIMS: Molecular imaging of the dopamine transporters (DAT) provides valuable information about neurodegenerative diseases, such as Parkinson’s. This study assessed the accuracy and precision of DAT-SPECT quantification methods. METHODS: Twenty-three DAT-SPECT images of a striatal phan...

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Autores principales: Alexandre-Santos, Leonardo, Trevisan, Ana Carolina, Pitella, Felipe Arriva, Tumas, Vitor, Silvah, Jose Henrique, Kato, Mery, de Moraes, Eder Rezende, Wichert-Ana, Lauro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797635/
https://www.ncbi.nlm.nih.gov/pubmed/36577862
http://dx.doi.org/10.1186/s40658-022-00519-2
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author Alexandre-Santos, Leonardo
Trevisan, Ana Carolina
Pitella, Felipe Arriva
Tumas, Vitor
Silvah, Jose Henrique
Kato, Mery
de Moraes, Eder Rezende
Wichert-Ana, Lauro
author_facet Alexandre-Santos, Leonardo
Trevisan, Ana Carolina
Pitella, Felipe Arriva
Tumas, Vitor
Silvah, Jose Henrique
Kato, Mery
de Moraes, Eder Rezende
Wichert-Ana, Lauro
author_sort Alexandre-Santos, Leonardo
collection PubMed
description BACKGROUND AND AIMS: Molecular imaging of the dopamine transporters (DAT) provides valuable information about neurodegenerative diseases, such as Parkinson’s. This study assessed the accuracy and precision of DAT-SPECT quantification methods. METHODS: Twenty-three DAT-SPECT images of a striatal phantom were acquired. The specific (caudate and putamen) and the non-specific (background activity) chambers were filled with [(99m)Tc]Tc. Different specific-to-non-specific activity ratios (10, 9, 8, 7, 6, 5, 4, 3 and 2 to 1) and the specific binding ratio (SBR) were calculated. Five methods using ROIs were assessed: (a) Manual ROIs on SPECT images; (b) TwoBox and (c) ThreeBox methods and Volume of Interest (VOI) using structural images; (d) MRI and (e) CT. Accuracy was evaluated by the concordance correlation coefficient (CCC) and precision by Pearson’s coefficient and linear regression. RESULTS: The SBR quantified in the specific and striatal chambers resulted in a CCC increase with a decrease in the nominal values. For lower SBR, MRI and CT showed higher CCCs when caudate ([Formula: see text] = 0.89 e [Formula: see text] = 0.84) and putamen ([Formula: see text] = 0.86 e [Formula: see text] = 0.82) were evaluated. For striatal assessments, the TwoBox method was the most accurate ([Formula: see text] = 0.95). High Pearson’s coefficients were found in the correlations between all methods. CONCLUSIONS: All five methods showed high precision even when applied to images with different activities. MRI and CT were the most accurate for assessing the caudate or putamen. To assess the striatal chamber and in the absence of structural information, the TwoBox method is advisable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-022-00519-2.
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spelling pubmed-97976352022-12-30 Assessment of different regions of interest-based methods for [99mTc]Tc DAT-SPECT quantification using an anthropomorphic striatal phantom Alexandre-Santos, Leonardo Trevisan, Ana Carolina Pitella, Felipe Arriva Tumas, Vitor Silvah, Jose Henrique Kato, Mery de Moraes, Eder Rezende Wichert-Ana, Lauro EJNMMI Phys Original Research BACKGROUND AND AIMS: Molecular imaging of the dopamine transporters (DAT) provides valuable information about neurodegenerative diseases, such as Parkinson’s. This study assessed the accuracy and precision of DAT-SPECT quantification methods. METHODS: Twenty-three DAT-SPECT images of a striatal phantom were acquired. The specific (caudate and putamen) and the non-specific (background activity) chambers were filled with [(99m)Tc]Tc. Different specific-to-non-specific activity ratios (10, 9, 8, 7, 6, 5, 4, 3 and 2 to 1) and the specific binding ratio (SBR) were calculated. Five methods using ROIs were assessed: (a) Manual ROIs on SPECT images; (b) TwoBox and (c) ThreeBox methods and Volume of Interest (VOI) using structural images; (d) MRI and (e) CT. Accuracy was evaluated by the concordance correlation coefficient (CCC) and precision by Pearson’s coefficient and linear regression. RESULTS: The SBR quantified in the specific and striatal chambers resulted in a CCC increase with a decrease in the nominal values. For lower SBR, MRI and CT showed higher CCCs when caudate ([Formula: see text] = 0.89 e [Formula: see text] = 0.84) and putamen ([Formula: see text] = 0.86 e [Formula: see text] = 0.82) were evaluated. For striatal assessments, the TwoBox method was the most accurate ([Formula: see text] = 0.95). High Pearson’s coefficients were found in the correlations between all methods. CONCLUSIONS: All five methods showed high precision even when applied to images with different activities. MRI and CT were the most accurate for assessing the caudate or putamen. To assess the striatal chamber and in the absence of structural information, the TwoBox method is advisable. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40658-022-00519-2. Springer International Publishing 2022-12-28 /pmc/articles/PMC9797635/ /pubmed/36577862 http://dx.doi.org/10.1186/s40658-022-00519-2 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/) .
spellingShingle Original Research
Alexandre-Santos, Leonardo
Trevisan, Ana Carolina
Pitella, Felipe Arriva
Tumas, Vitor
Silvah, Jose Henrique
Kato, Mery
de Moraes, Eder Rezende
Wichert-Ana, Lauro
Assessment of different regions of interest-based methods for [99mTc]Tc DAT-SPECT quantification using an anthropomorphic striatal phantom
title Assessment of different regions of interest-based methods for [99mTc]Tc DAT-SPECT quantification using an anthropomorphic striatal phantom
title_full Assessment of different regions of interest-based methods for [99mTc]Tc DAT-SPECT quantification using an anthropomorphic striatal phantom
title_fullStr Assessment of different regions of interest-based methods for [99mTc]Tc DAT-SPECT quantification using an anthropomorphic striatal phantom
title_full_unstemmed Assessment of different regions of interest-based methods for [99mTc]Tc DAT-SPECT quantification using an anthropomorphic striatal phantom
title_short Assessment of different regions of interest-based methods for [99mTc]Tc DAT-SPECT quantification using an anthropomorphic striatal phantom
title_sort assessment of different regions of interest-based methods for [99mtc]tc dat-spect quantification using an anthropomorphic striatal phantom
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797635/
https://www.ncbi.nlm.nih.gov/pubmed/36577862
http://dx.doi.org/10.1186/s40658-022-00519-2
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