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 [11C]-(R)-PK...

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Published inPloS one Vol. 13; no. 8; p. e0201289
Main Authors Kang, Yeona, Schlyer, David, Kaunzner, Ulrike W., Kuceyeski, Amy, Kothari, Paresh J., Gauthier, Susan A.
Format Journal Article
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Published United States Public Library of Science 09.08.2018
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Abstract 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 [11C]-(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 (VT) was calculated with the Logan graphical method (LGM-VT) utilizing an image-derived input function (IDIF). The binding potential (BPND) 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 BPND was significantly lower in the smallest VOI, compared to the estimates of LGM-VT. These observations were consistent for all chronic MS lesions examined. In this study, we demonstrate that BPND and LGM-VT are both reliable for quantifying m/M activation in regions of high uptake, however with blood input function LGM-VT is preferred to assess longitudinal m/M activation in regions of relatively low uptake, such as chronic MS lesions.
AbstractList 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 [11C]-(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 (VT) was calculated with the Logan graphical method (LGM-VT) utilizing an image-derived input function (IDIF). The binding potential (BPND) 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 BPND was significantly lower in the smallest VOI, compared to the estimates of LGM-VT. These observations were consistent for all chronic MS lesions examined. In this study, we demonstrate that BPND and LGM-VT are both reliable for quantifying m/M activation in regions of high uptake, however with blood input function LGM-VT is preferred to assess longitudinal m/M activation in regions of relatively low uptake, such as chronic MS lesions.
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 [.sup.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.sub.T) was calculated with the Logan graphical method (LGM-V.sub.T) utilizing an image-derived input function (IDIF). The binding potential (BP.sub.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.sub.ND was significantly lower in the smallest VOI, compared to the estimates of LGM-V.sub.T . These observations were consistent for all chronic MS lesions examined. In this study, we demonstrate that BP.sub.ND and LGM-V.sub.T are both reliable for quantifying m/M activation in regions of high uptake, however with blood input function LGM-V.sub.T is preferred to assess longitudinal m/M activation in regions of relatively low uptake, such as chronic MS lesions.
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.
Audience Academic
Author Kothari, Paresh J.
Kuceyeski, Amy
Kang, Yeona
Schlyer, David
Kaunzner, Ulrike W.
Gauthier, Susan A.
AuthorAffiliation 1 Department of Radiology/Nuclear Medicine, Weill Cornell Medicine, New York, New York City, NY, United States of America
2 Brookhaven National Laboratory, Upton, NY, United States of America
3 Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, New York City, NY, United States of America
Macquarie University, AUSTRALIA
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  surname: Schlyer
  fullname: Schlyer, David
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  surname: Kaunzner
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DocumentTitleAlternate Comparison of two methods of PK11195-PET imaging analysis in patients with MS
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Competing Interests: SG received funding from the commercial companies Genzyme and Novartis, to conduct two separate ongoing PET studies from which the data utilized in this study were derived. SG also completed a PET study funded from a grant given by the commercial company Biogen [55000025] from which some of the data utilized in this study was derived. Dr. Gauthier has also received unrelated grant support from Mallinckrodt [56580139]. The authors have no other competing interests to declare. There are no patents, products in development, or marketed products to declare. This does not alter the authors' adherence to all PLOS ONE policies on sharing data and materials.
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Snippet Chronic active multiple sclerosis (MS) lesions have a rim of activated microglia/macrophages (m/M) leading to ongoing tissue damage, and thus represent a...
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SubjectTerms 60 APPLIED LIFE SCIENCES
Activation analysis
Adult
Binding
Binding sites
Biology and Life Sciences
Brain
Brain - cytology
Brain - diagnostic imaging
Brain - pathology
Care and treatment
Central nervous system
Cluster analysis
Clustering
Comparative analysis
Cortex
Female
Graphical methods
Human subjects
Humans
Image analysis
Image processing
Image Processing, Computer-Assisted - methods
Immune response
Immune system
Innate immunity
Isoquinolines - administration & dosage
Isoquinolines - chemistry
Lesions
Macrophages
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Masks
Medical imaging
Medicine and Health Sciences
Methods
Microglia
Microglia - immunology
Microglia - pathology
Middle Aged
Multiple sclerosis
Multiple Sclerosis, Chronic Progressive - diagnostic imaging
Multiple Sclerosis, Chronic Progressive - immunology
Multiple Sclerosis, Chronic Progressive - pathology
Neuroimaging
Nuclear medicine
Patients
Physical Sciences
Positron emission
Positron emission tomography
Positron-Emission Tomography - methods
Radiopharmaceuticals - administration & dosage
Radiopharmaceuticals - chemistry
Reproducibility of Results
Research and Analysis Methods
Science & Technology - Other Topics
Substantia alba
Substantia grisea
Thalamus
Therapeutic applications
Tomography
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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
URI https://www.ncbi.nlm.nih.gov/pubmed/30091993
https://www.proquest.com/docview/2086254267
https://www.osti.gov/servlets/purl/1627865
https://pubmed.ncbi.nlm.nih.gov/PMC6084893
https://doaj.org/article/17ebff5091484f378b5484c138ade770
http://dx.doi.org/10.1371/journal.pone.0201289
Volume 13
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