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Quantitative assessment of myelin density using [(11)C]MeDAS PET in patients with multiple sclerosis: a first-in-human study
PURPOSE: Multiple sclerosis (MS) is a disease characterized by inflammatory demyelinated lesions. New treatment strategies are being developed to stimulate myelin repair. Quantitative myelin imaging could facilitate these developments. This first-in-man study aimed to evaluate [(11)C]MeDAS as a PET...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308583/ https://www.ncbi.nlm.nih.gov/pubmed/35366079 http://dx.doi.org/10.1007/s00259-022-05770-4 |
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author | van der Weijden, Chris W. J. Meilof, Jan F. van der Hoorn, Anouk Zhu, Junqing Wu, Chunying Wang, Yanming Willemsen, Antoon T. M. Dierckx, Rudi A. J. O. Lammertsma, Adriaan A. de Vries, Erik F. J. |
author_facet | van der Weijden, Chris W. J. Meilof, Jan F. van der Hoorn, Anouk Zhu, Junqing Wu, Chunying Wang, Yanming Willemsen, Antoon T. M. Dierckx, Rudi A. J. O. Lammertsma, Adriaan A. de Vries, Erik F. J. |
author_sort | van der Weijden, Chris W. J. |
collection | PubMed |
description | PURPOSE: Multiple sclerosis (MS) is a disease characterized by inflammatory demyelinated lesions. New treatment strategies are being developed to stimulate myelin repair. Quantitative myelin imaging could facilitate these developments. This first-in-man study aimed to evaluate [(11)C]MeDAS as a PET tracer for myelin imaging in humans. METHODS: Six healthy controls and 11 MS patients underwent MRI and dynamic [(11)C]MeDAS PET scanning with arterial sampling. Lesion detection and classification were performed on MRI. [(11)C]MeDAS time-activity curves of brain regions and MS lesions were fitted with various compartment models for the identification of the best model to describe [(11)C]MeDAS kinetics. Several simplified methods were compared to the optimal compartment model. RESULTS: Visual analysis of the fits of [(11)C]MeDAS time-activity curves showed no preference for irreversible (2T3k) or reversible (2T4k) two-tissue compartment model. Both volume of distribution and binding potential estimates showed a high degree of variability. As this was not the case for 2T3k-derived net influx rate (K(i)), the 2T3k model was selected as the model of choice. Simplified methods, such as SUV and MLAIR2 correlated well with 2T3k-derived K(i), but SUV showed subject-dependent bias when compared to 2T3k. Both the 2T3k model and the simplified methods were able to differentiate not only between gray and white matter, but also between lesions with different myelin densities. CONCLUSION: [(11)C]MeDAS PET can be used for quantification of myelin density in MS patients and is able to distinguish differences in myelin density within MS lesions. The 2T3k model is the optimal compartment model and MLAIR2 is the best simplified method for quantification. Trial registration. NL7262. Registered 18 September 2018. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00259-022-05770-4. |
format | Online Article Text |
id | pubmed-9308583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93085832022-07-25 Quantitative assessment of myelin density using [(11)C]MeDAS PET in patients with multiple sclerosis: a first-in-human study van der Weijden, Chris W. J. Meilof, Jan F. van der Hoorn, Anouk Zhu, Junqing Wu, Chunying Wang, Yanming Willemsen, Antoon T. M. Dierckx, Rudi A. J. O. Lammertsma, Adriaan A. de Vries, Erik F. J. Eur J Nucl Med Mol Imaging Original Article PURPOSE: Multiple sclerosis (MS) is a disease characterized by inflammatory demyelinated lesions. New treatment strategies are being developed to stimulate myelin repair. Quantitative myelin imaging could facilitate these developments. This first-in-man study aimed to evaluate [(11)C]MeDAS as a PET tracer for myelin imaging in humans. METHODS: Six healthy controls and 11 MS patients underwent MRI and dynamic [(11)C]MeDAS PET scanning with arterial sampling. Lesion detection and classification were performed on MRI. [(11)C]MeDAS time-activity curves of brain regions and MS lesions were fitted with various compartment models for the identification of the best model to describe [(11)C]MeDAS kinetics. Several simplified methods were compared to the optimal compartment model. RESULTS: Visual analysis of the fits of [(11)C]MeDAS time-activity curves showed no preference for irreversible (2T3k) or reversible (2T4k) two-tissue compartment model. Both volume of distribution and binding potential estimates showed a high degree of variability. As this was not the case for 2T3k-derived net influx rate (K(i)), the 2T3k model was selected as the model of choice. Simplified methods, such as SUV and MLAIR2 correlated well with 2T3k-derived K(i), but SUV showed subject-dependent bias when compared to 2T3k. Both the 2T3k model and the simplified methods were able to differentiate not only between gray and white matter, but also between lesions with different myelin densities. CONCLUSION: [(11)C]MeDAS PET can be used for quantification of myelin density in MS patients and is able to distinguish differences in myelin density within MS lesions. The 2T3k model is the optimal compartment model and MLAIR2 is the best simplified method for quantification. Trial registration. NL7262. Registered 18 September 2018. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00259-022-05770-4. Springer Berlin Heidelberg 2022-04-02 2022 /pmc/articles/PMC9308583/ /pubmed/35366079 http://dx.doi.org/10.1007/s00259-022-05770-4 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/) . |
spellingShingle | Original Article van der Weijden, Chris W. J. Meilof, Jan F. van der Hoorn, Anouk Zhu, Junqing Wu, Chunying Wang, Yanming Willemsen, Antoon T. M. Dierckx, Rudi A. J. O. Lammertsma, Adriaan A. de Vries, Erik F. J. Quantitative assessment of myelin density using [(11)C]MeDAS PET in patients with multiple sclerosis: a first-in-human study |
title | Quantitative assessment of myelin density using [(11)C]MeDAS PET in patients with multiple sclerosis: a first-in-human study |
title_full | Quantitative assessment of myelin density using [(11)C]MeDAS PET in patients with multiple sclerosis: a first-in-human study |
title_fullStr | Quantitative assessment of myelin density using [(11)C]MeDAS PET in patients with multiple sclerosis: a first-in-human study |
title_full_unstemmed | Quantitative assessment of myelin density using [(11)C]MeDAS PET in patients with multiple sclerosis: a first-in-human study |
title_short | Quantitative assessment of myelin density using [(11)C]MeDAS PET in patients with multiple sclerosis: a first-in-human study |
title_sort | quantitative assessment of myelin density using [(11)c]medas pet in patients with multiple sclerosis: a first-in-human study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308583/ https://www.ncbi.nlm.nih.gov/pubmed/35366079 http://dx.doi.org/10.1007/s00259-022-05770-4 |
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