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Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195

Chronic active multiple sclerosis (MS) lesions have a rim of activated microglia/macrophages (m/M) leading to ongoing tissue damage, and thus represent a potential treatment target. Activation of this innate immune response in MS has been visualized and quantified using PET imaging with [(11)C]-(R)-...

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Detalles Bibliográficos
Autores principales: Kang, Yeona, Schlyer, David, Kaunzner, Ulrike W., Kuceyeski, Amy, Kothari, Paresh J., Gauthier, Susan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6084893/
https://www.ncbi.nlm.nih.gov/pubmed/30091993
http://dx.doi.org/10.1371/journal.pone.0201289
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author Kang, Yeona
Schlyer, David
Kaunzner, Ulrike W.
Kuceyeski, Amy
Kothari, Paresh J.
Gauthier, Susan A.
author_facet Kang, Yeona
Schlyer, David
Kaunzner, Ulrike W.
Kuceyeski, Amy
Kothari, Paresh J.
Gauthier, Susan A.
author_sort Kang, Yeona
collection PubMed
description Chronic active multiple sclerosis (MS) lesions have a rim of activated microglia/macrophages (m/M) leading to ongoing tissue damage, and thus represent a potential treatment target. Activation of this innate immune response in MS has been visualized and quantified using PET imaging with [(11)C]-(R)-PK11195 (PK). Accurate identification of m/M activation in chronic MS lesions requires the sensitivity to detect lower levels of activity within a small tissue volume. We assessed the ability of kinetic modeling of PK PET data to detect m/M activity in different central nervous system (CNS) tissue regions of varying sizes and in chronic MS lesions. Ten patients with MS underwent a single brain MRI and two PK PET scans 2 hours apart. Volume of interest (VOI) masks were generated for the white matter (WM), cortical gray matter (CGM), and thalamus (TH). The distribution volume (V(T)) was calculated with the Logan graphical method (LGM-V(T)) utilizing an image-derived input function (IDIF). The binding potential (BP(ND)) was calculated with the reference Logan graphical method (RLGM) utilizing a supervised clustering algorithm (SuperPK) to determine the non-specific binding region. Masks of varying volume were created in the CNS to assess the impact of region size on the various metrics among high and low uptake regions. Chronic MS lesions were also evaluated and individual lesion masks were generated. The highest PK uptake occurred the TH and lowest within the WM, as demonstrated by the mean time activity curves. In the TH, both reference and IDIF based methods resulted in estimates that did not significantly depend on VOI size. However, in the WM, the test-retest reliability of BP(ND) was significantly lower in the smallest VOI, compared to the estimates of LGM-V(T). These observations were consistent for all chronic MS lesions examined. In this study, we demonstrate that BP(ND) and LGM-V(T) are both reliable for quantifying m/M activation in regions of high uptake, however with blood input function LGM-V(T) is preferred to assess longitudinal m/M activation in regions of relatively low uptake, such as chronic MS lesions.
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spelling pubmed-60848932018-08-18 Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195 Kang, Yeona Schlyer, David Kaunzner, Ulrike W. Kuceyeski, Amy Kothari, Paresh J. Gauthier, Susan A. PLoS One Research Article Chronic active multiple sclerosis (MS) lesions have a rim of activated microglia/macrophages (m/M) leading to ongoing tissue damage, and thus represent a potential treatment target. Activation of this innate immune response in MS has been visualized and quantified using PET imaging with [(11)C]-(R)-PK11195 (PK). Accurate identification of m/M activation in chronic MS lesions requires the sensitivity to detect lower levels of activity within a small tissue volume. We assessed the ability of kinetic modeling of PK PET data to detect m/M activity in different central nervous system (CNS) tissue regions of varying sizes and in chronic MS lesions. Ten patients with MS underwent a single brain MRI and two PK PET scans 2 hours apart. Volume of interest (VOI) masks were generated for the white matter (WM), cortical gray matter (CGM), and thalamus (TH). The distribution volume (V(T)) was calculated with the Logan graphical method (LGM-V(T)) utilizing an image-derived input function (IDIF). The binding potential (BP(ND)) was calculated with the reference Logan graphical method (RLGM) utilizing a supervised clustering algorithm (SuperPK) to determine the non-specific binding region. Masks of varying volume were created in the CNS to assess the impact of region size on the various metrics among high and low uptake regions. Chronic MS lesions were also evaluated and individual lesion masks were generated. The highest PK uptake occurred the TH and lowest within the WM, as demonstrated by the mean time activity curves. In the TH, both reference and IDIF based methods resulted in estimates that did not significantly depend on VOI size. However, in the WM, the test-retest reliability of BP(ND) was significantly lower in the smallest VOI, compared to the estimates of LGM-V(T). These observations were consistent for all chronic MS lesions examined. In this study, we demonstrate that BP(ND) and LGM-V(T) are both reliable for quantifying m/M activation in regions of high uptake, however with blood input function LGM-V(T) is preferred to assess longitudinal m/M activation in regions of relatively low uptake, such as chronic MS lesions. Public Library of Science 2018-08-09 /pmc/articles/PMC6084893/ /pubmed/30091993 http://dx.doi.org/10.1371/journal.pone.0201289 Text en © 2018 Kang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kang, Yeona
Schlyer, David
Kaunzner, Ulrike W.
Kuceyeski, Amy
Kothari, Paresh J.
Gauthier, Susan A.
Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195
title Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195
title_full Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195
title_fullStr Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195
title_full_unstemmed Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195
title_short Comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (R)-[N-methyl-carbon-11]PK11195
title_sort comparison of two different methods of image analysis for the assessment of microglial activation in patients with multiple sclerosis using (r)-[n-methyl-carbon-11]pk11195
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6084893/
https://www.ncbi.nlm.nih.gov/pubmed/30091993
http://dx.doi.org/10.1371/journal.pone.0201289
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