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...
Saved in:
Published in | PloS one Vol. 13; no. 8; p. e0201289 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
09.08.2018
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |
AuthorAffiliation_xml | – name: 1 Department of Radiology/Nuclear Medicine, Weill Cornell Medicine, New York, New York City, NY, United States of America – name: 3 Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, New York City, NY, United States of America – name: Macquarie University, AUSTRALIA – name: 2 Brookhaven National Laboratory, Upton, NY, United States of America |
Author_xml | – sequence: 1 givenname: Yeona orcidid: 0000-0003-3384-435X surname: Kang fullname: Kang, Yeona – sequence: 2 givenname: David surname: Schlyer fullname: Schlyer, David – sequence: 3 givenname: Ulrike W. surname: Kaunzner fullname: Kaunzner, Ulrike W. – sequence: 4 givenname: Amy surname: Kuceyeski fullname: Kuceyeski, Amy – sequence: 5 givenname: Paresh J. surname: Kothari fullname: Kothari, Paresh J. – sequence: 6 givenname: Susan A. orcidid: 0000-0002-4015-1781 surname: Gauthier fullname: Gauthier, Susan A. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30091993$$D View this record in MEDLINE/PubMed https://www.osti.gov/servlets/purl/1627865$$D View this record in Osti.gov |
BookMark | eNp9Ul2L1DAULbLifug_EA36og8dk6ZpEx-EZfBjcVERfRIJaZp2srRNTTK7zG_yT3o705EdUelDw835yLmc0-RocINJkocELwgtyYsrt_aD6hYjjBc4wyTj4k5yQgTN0iLD9OjW-Tg5DeEKY0Z5UdxLjinGgghBT5KfS9ePytvgBuQaFG8cqm3TGG-GiHoTV64O04XtVWuQAsNNsAE1zqO4gkEIJoR-AgOot9q7trOqQ0pHe62iBVk7oBFOgAnoxsYV6tddtGNnUNCd8W7SWwc7tOjZ5-fptw_pZLvpUq185YaUkO-f3hNCBLuf3G1UF8yD-X-WfH3z-svyXXr58e3F8vwy1YyXMc1opkyDy5LVQtS0EkIVdYYxNgZECCacsVrjShiqKatwAYRac14AxeQ1o2fJ453u2Lkg5z0HmWFeZCzPihIQFztE7dSVHD1sx2-kU1ZuB863UvloIZ4kpamahsG-c543tOQVg4MmlKvalCUGrVez27rqTa1hT151B6KHN4NdydZdywLznAsKAk92Ai5EK4O20eiVdsNgdJSkyEpeTJmezi7e_VibEP-Ra0a1Cp5uh8aBo-5t0PKc5YLRvNgaLv6Cgq820ACoY2NhfkB4dDvi72z7GgLg5Q4A_QnBm0ZCim17QNl2kmA5dX7_Zjl1Xs6dB3L-B3mv_1_aL_mACKc |
CitedBy_id | crossref_primary_10_3390_diagnostics10110968 crossref_primary_10_1007_s11307_020_01501_z crossref_primary_10_1186_s40658_024_00679_3 crossref_primary_10_3390_jimaging10020039 crossref_primary_10_3390_pharmaceutics14122715 crossref_primary_10_1007_s00259_021_05425_w crossref_primary_10_1002_acn3_51431 crossref_primary_10_1177_1352458519828299 crossref_primary_10_1093_brain_awae013 crossref_primary_10_3389_fncel_2020_00075 |
Cites_doi | 10.1007/s13244-011-0128-x 10.1038/jcbfm.2011.107 10.1093/brain/awp070 10.1016/0969-8051(94)90022-1 10.1007/BF03164587 10.1007/s00401-016-1636-z 10.1038/jcbfm.2012.59 10.1002/ana.24497 10.1038/jcbfm.1990.127 10.1371/journal.pone.0073990 10.1093/brain/awh641 10.1016/j.msard.2017.04.008 10.1002/(SICI)1097-0193(1999)8:4<272::AID-HBM10>3.0.CO;2-4 10.1042/BST20150058 10.1093/brain/123.11.2321 10.1097/01.phm.0000176452.17771.20 10.1016/j.acra.2015.12.020 10.1146/annurev-immunol-051116-052358 10.1016/j.neuroimage.2007.02.017 10.1109/NSSMIC.2008.4774453 10.1016/S0969-8051(00)00137-2 10.1002/glia.22597 10.1007/s00259-008-1000-1 10.1002/jmri.22214 10.1002/ana.1255 10.1007/s00401-016-1653-y 10.2967/jnumed.108.050583 10.1097/00004647-200106000-00002 10.2165/00007256-200030010-00001 10.1371/journal.pone.0057573 10.1016/B978-0-444-52001-2.00002-9 10.1088/0031-9155/56/8/004 10.1002/ana.23974 10.1016/j.pharmthera.2007.12.004 10.1097/00004647-199609000-00008 10.1038/sj.jcbfm.9600092 |
ContentType | Journal Article |
Copyright | COPYRIGHT 2018 Public Library of Science 2018 Kang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2018 Kang et al 2018 Kang et al |
Copyright_xml | – notice: COPYRIGHT 2018 Public Library of Science – notice: 2018 Kang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2018 Kang et al 2018 Kang et al |
CorporateAuthor | Brookhaven National Laboratory (BNL), Upton, NY (United States) |
CorporateAuthor_xml | – name: Brookhaven National Laboratory (BNL), Upton, NY (United States) |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7QG 7QL 7QO 7RV 7SN 7SS 7T5 7TG 7TM 7U9 7X2 7X7 7XB 88E 8AO 8C1 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BBNVY BENPR BGLVJ BHPHI C1K CCPQU D1I DWQXO FR3 FYUFA GHDGH GNUQQ H94 HCIFZ K9. KB. KB0 KL. L6V LK8 M0K M0S M1P M7N M7P M7S NAPCQ P5Z P62 P64 PATMY PDBOC PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY RC3 OIOZB OTOTI 5PM DOA |
DOI | 10.1371/journal.pone.0201289 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Biotechnology Research Abstracts Nursing & Allied Health Database Ecology Abstracts Entomology Abstracts (Full archive) Immunology Abstracts Meteorological & Geoastrophysical Abstracts Nucleic Acids Abstracts Virology and AIDS Abstracts Agricultural Science Collection Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection ProQuest Central Technology Collection Natural Science Collection Environmental Sciences and Pollution Management ProQuest One ProQuest Materials Science Collection ProQuest Central Korea Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Materials Science Database Nursing & Allied Health Database (Alumni Edition) Meteorological & Geoastrophysical Abstracts - Academic ProQuest Engineering Collection Biological Sciences Agricultural Science Database ProQuest Health & Medical Collection Medical Database Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Engineering Database Nursing & Allied Health Premium Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Environmental Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection Genetics Abstracts OSTI.GOV - Hybrid OSTI.GOV PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Agricultural Science Database Publicly Available Content Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials Nucleic Acids Abstracts SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database Virology and AIDS Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Agricultural Science Collection ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Ecology Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Environmental Science Collection Entomology Abstracts Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Environmental Science Database ProQuest Nursing & Allied Health Source (Alumni) Engineering Research Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Materials Science Collection ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central ProQuest Health & Medical Research Collection Genetics Abstracts ProQuest Engineering Collection Biotechnology Research Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Agricultural & Environmental Science Collection AIDS and Cancer Research Abstracts Materials Science Database ProQuest Materials Science Collection ProQuest Public Health ProQuest Nursing & Allied Health Source ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library Animal Behavior Abstracts Materials Science & Engineering Collection Immunology Abstracts ProQuest Central (Alumni) |
DatabaseTitleList | MEDLINE Agricultural Science Database |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Sciences (General) |
DocumentTitleAlternate | Comparison of two methods of PK11195-PET imaging analysis in patients with MS |
EISSN | 1932-6203 |
ExternalDocumentID | 2086254267 oai_doaj_org_article_17ebff5091484f378b5484c138ade770 PMC6084893 1627865 A549534693 30091993 10_1371_journal_pone_0201289 |
Genre | Validation Studies Comparative Study Research Support, Non-U.S. Gov't Journal Article |
GeographicLocations | New York United States--US |
GeographicLocations_xml | – name: New York – name: United States--US |
GrantInformation_xml | – fundername: NINDS NIH HHS grantid: R01 NS104283 – fundername: ; grantid: Novartis PET 1306014041 – fundername: ; grantid: Genzyme PET 1309014365 |
GroupedDBID | --- 123 29O 2WC 53G 5VS 7RV 7X2 7X7 7XC 88E 8AO 8C1 8CJ 8FE 8FG 8FH 8FI 8FJ A8Z AAFWJ AAUCC AAWOE AAYXX ABDBF ABIVO ABJCF ABUWG ACGFO ACIHN ACIWK ACPRK ACUHS ADBBV ADRAZ AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHMBA ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS APEBS ARAPS ATCPS BAWUL BBNVY BCNDV BENPR BGLVJ BHPHI BKEYQ BPHCQ BVXVI BWKFM CCPQU CITATION CS3 D1I D1J D1K DIK DU5 E3Z EAP EAS EBD EMOBN ESX EX3 F5P FPL FYUFA GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE IAO IEA IGS IHR IHW INH INR IOV IPY ISE ISR ITC K6- KB. KQ8 L6V LK5 LK8 M0K M1P M48 M7P M7R M7S M~E NAPCQ O5R O5S OK1 OVT P2P P62 PATMY PDBOC PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO PTHSS PV9 PYCSY RNS RPM RZL SV3 TR2 UKHRP WOQ WOW ~02 ~KM CGR CUY CVF ECM EIF IPNFZ NPM PJZUB PPXIY PQGLB RIG BBORY PMFND 3V. 7QG 7QL 7QO 7SN 7SS 7T5 7TG 7TM 7U9 7XB 8FD 8FK AZQEC C1K DWQXO FR3 GNUQQ H94 K9. KL. M7N P64 PKEHL PQEST PQUKI PRINS RC3 AAPBV ABPTK N95 OIOZB OTOTI 5PM PUEGO - 02 ADACO B0M BBAFP KM |
ID | FETCH-LOGICAL-c587t-232aef0775d99d3b99a6d2000ee195101855dc0b9e3c35b06232dc886077e4d53 |
IEDL.DBID | M48 |
ISSN | 1932-6203 |
IngestDate | Sun Jun 05 00:11:01 EDT 2022 Wed Aug 27 01:02:25 EDT 2025 Thu Aug 21 18:32:05 EDT 2025 Mon Jul 10 02:31:09 EDT 2023 Fri Jul 25 10:23:10 EDT 2025 Tue Jun 17 21:01:47 EDT 2025 Tue Jun 10 20:33:15 EDT 2025 Mon Jul 21 05:59:10 EDT 2025 Tue Jul 01 02:54:31 EDT 2025 Thu Apr 24 22:59:43 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 8 |
Language | English |
License | This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Creative Commons Attribution License |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c587t-232aef0775d99d3b99a6d2000ee195101855dc0b9e3c35b06232dc886077e4d53 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 USDOE Office of Science (SC) SC0012704 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. |
ORCID | 0000-0002-4015-1781 0000-0003-3384-435X 000000033384435X 0000000240151781 |
OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1371/journal.pone.0201289 |
PMID | 30091993 |
PQID | 2086254267 |
PQPubID | 1436336 |
ParticipantIDs | plos_journals_2086254267 doaj_primary_oai_doaj_org_article_17ebff5091484f378b5484c138ade770 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6084893 osti_scitechconnect_1627865 proquest_journals_2086254267 gale_infotracmisc_A549534693 gale_infotracacademiconefile_A549534693 pubmed_primary_30091993 crossref_citationtrail_10_1371_journal_pone_0201289 crossref_primary_10_1371_journal_pone_0201289 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2018-08-09 |
PublicationDateYYYYMMDD | 2018-08-09 |
PublicationDate_xml | – month: 08 year: 2018 text: 2018-08-09 day: 09 |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States – name: San Francisco – name: San Francisco, CA USA |
PublicationTitle | PloS one |
PublicationTitleAlternate | PLoS One |
PublicationYear | 2018 |
Publisher | Public Library of Science Public Library of Science (PLoS) |
Publisher_xml | – name: Public Library of Science – name: Public Library of Science (PLoS) |
References | Y Kang (ref32) 2018; 2018 NA Obuchowski (ref37) 2016; 23 J Logan (ref34) 1990; 10 WS Frischer JM (ref9) 2015; 78 F Shah (ref26) 1994; 21 FE Turkheimer (ref14) 2015; 43 M Colonna (ref10) 2017; 35 T Kuhlmann (ref4) 2017; 133 S Vaz (ref39) 2013; 8 T Kuhlmann (ref17) 2017; 133 RN Gunn (ref18) 2001; 21 G Tomasi (ref23) 2008; 49 BW Jakoby (ref27) 2011; 56 FE Turkheimer (ref20) 2007; 48 R Boellaard (ref41) 2008; 8 M Yaqub (ref21) 2012; 32 AN Anderson (ref22) 2007; 36 JE Lexell (ref38) 2005; 84 A Dal-Bianco (ref3) 2017; 133 H Lassmann (ref7) 2014; 62 MA Kropholler (ref13) 2005; 25 J Logan (ref35) 2000; 27 A Kutzelnigg (ref6) 2014; 122 UW Kaunzner (ref16) 2017; 15 DT Chard (ref31) 2010; 32 RB Banati (ref15) 2000; 123 P Zanotti-Fregonara (ref19) 2011; 31 V Mehta (ref8) 2013; 8 B Fischl (ref30) 1999; 8 JM Frischer (ref1) 2009; 132 JW Prineas (ref2) 2001; 50 S Hametner (ref5) 2013; 74 A Roivainen (ref33) 2009; 36 A Kutzelnigg (ref24) 2005; 128 K Hashimoto (ref25) 1989; 3 B Fischl (ref29) 1999; 9 J Logan (ref36) 1996; 16 MK Chen (ref12) 2008; 118 C Burger (ref28) 1998; 39 WG H (ref40) 2000; 30 ASC Ching (ref11) 2012; 3 |
References_xml | – volume: 3 start-page: 111 year: 2012 ident: ref11 article-title: Current paradigm of the 18-kDa translocator protein (TSPO) as a molecular target for PET imaging in neuroinflammation and neurodegenerative diseases publication-title: Insights Imaging doi: 10.1007/s13244-011-0128-x – volume: 31 start-page: 1986 year: 2011 ident: ref19 article-title: Image-derived input function for brain PET studies: many challenges and few opportunities publication-title: J Cereb Blood Flow Metab doi: 10.1038/jcbfm.2011.107 – volume: 132 start-page: 1175 year: 2009 ident: ref1 article-title: The relation between inflammation and neurodegeneration in multiple sclerosis brains publication-title: Brain doi: 10.1093/brain/awp070 – volume: 21 start-page: 573 year: 1994 ident: ref26 article-title: Synthesis of the enantiomers of [N-methyl-11C]PK 11195 and comparison of their behaviours as radioligands for PK binding sites in rats publication-title: Nucl Med Biol doi: 10.1016/0969-8051(94)90022-1 – volume: 3 start-page: 63 year: 1989 ident: ref25 article-title: Synthesis and evaluation of 11C-PK 11195 for in vivo study of peripheral-type benzodiazepine receptors using positron emission tomography publication-title: Ann Nucl Med doi: 10.1007/BF03164587 – volume: 133 start-page: 25 year: 2017 ident: ref3 article-title: Slow expansion of multiple sclerosis iron rim lesions: pathology and 7 T magnetic resonance imaging publication-title: Acta Neuropathol doi: 10.1007/s00401-016-1636-z – volume: 32 start-page: 1600 year: 2012 ident: ref21 article-title: Optimization of supervised cluster analysis for extracting reference tissue input curves in (R)-[(11)C]PK11195 brain PET studies publication-title: J Cereb Blood Flow Metab doi: 10.1038/jcbfm.2012.59 – volume: 9 start-page: 195 year: 1999 ident: ref29 article-title: Cortical surface-based analysis II: inflation, flattening, and a surface- based coordinate system publication-title: Neuroimage – volume: 78 start-page: 710 year: 2015 ident: ref9 article-title: Clinical and pathological insights into the dynamic nature of the white matter multiple sclerosis plaque publication-title: Ann Neurol doi: 10.1002/ana.24497 – volume: 10 start-page: 740 year: 1990 ident: ref34 article-title: Graphical analysis of reversible radioligand binding from time-activity measurements applied to [N-11C-methyl-(2)-cocaine PET studies in human subjects publication-title: J Cereb Blood Flow Metab doi: 10.1038/jcbfm.1990.127 – volume: 2018 start-page: 001 year: 2018 ident: ref32 article-title: Noninvasive PK11195-PET image analysis techniques can detect abnormal cerebral microglia activation in Parkinson’s disease publication-title: J Neuroimaging – volume: 8 start-page: e73990 year: 2013 ident: ref39 article-title: The case for using the repeatability coefficient when calculating test-retest reliability publication-title: PLOS One doi: 10.1371/journal.pone.0073990 – volume: 128 start-page: 2705 year: 2005 ident: ref24 article-title: Cortical demyelination and diffuse white matter injury in multiple sclerosis publication-title: Brain doi: 10.1093/brain/awh641 – volume: 15 start-page: 27 year: 2017 ident: ref16 article-title: Reduction of PK11195 uptake observed in multiple sclerosis lesions after natalizumab initiation publication-title: Multiple sclerosis and related disorders doi: 10.1016/j.msard.2017.04.008 – volume: 8 start-page: 272 year: 1999 ident: ref30 article-title: High-resolution intersubject averaging and a coordinate system for the cortical surface publication-title: Hum Brain Mapp doi: 10.1002/(SICI)1097-0193(1999)8:4<272::AID-HBM10>3.0.CO;2-4 – volume: 48 start-page: 158 year: 2007 ident: ref20 article-title: Reference and target region modeling of [11C]-(R)- PK11195 brain studies publication-title: J Nucl Med – volume: 43 start-page: 586 year: 2015 ident: ref14 article-title: The methodology of TSPO imaging with positron emission tomography publication-title: Biochem Soc Trans doi: 10.1042/BST20150058 – volume: 123 start-page: 2321 year: 2000 ident: ref15 article-title: The peripheral benzodiazepine binding site in the brain in multiple sclerosis: quantitative in vivo imaging of microglia as a measure of disease activity publication-title: Brain doi: 10.1093/brain/123.11.2321 – volume: 39 start-page: 277 year: 1998 ident: ref28 article-title: JAVA tools quantitative post-processing of brain PET data publication-title: J Nucl Med – volume: 84 start-page: 719 year: 2005 ident: ref38 article-title: How to assess the reliability of measurements in rehabilitation publication-title: Am J Phys Med Rehabil doi: 10.1097/01.phm.0000176452.17771.20 – volume: 23 start-page: 496 year: 2016 ident: ref37 article-title: Statistical issues in testing conformance with the Quantitative Imaging Biomarker Alliance (QIBA) profile claims publication-title: Acad Radiol doi: 10.1016/j.acra.2015.12.020 – volume: 35 start-page: 441 year: 2017 ident: ref10 article-title: Microglia function in the central nervous system during health and neurodegeneration publication-title: Annu Rev Immunol doi: 10.1146/annurev-immunol-051116-052358 – volume: 36 start-page: 28 year: 2007 ident: ref22 article-title: A systematic comparison of kinetic modelling methods generating parametric maps for [(11)C]-(R)-PK11195 publication-title: NeuroImage doi: 10.1016/j.neuroimage.2007.02.017 – volume: 8 start-page: 5400 year: 2008 ident: ref41 article-title: Performance of a modified supervised cluster algorithm for extracting reference region input functions from (R)-[11C]PK11195 brain PET studies publication-title: 2008 IEEE Nuclear Science Symposium Conference Record doi: 10.1109/NSSMIC.2008.4774453 – volume: 27 start-page: 661 year: 2000 ident: ref35 article-title: Graphical analysis of PET data applied to reversible and irreversible tracers publication-title: Nucl Med Biol doi: 10.1016/S0969-8051(00)00137-2 – volume: 62 start-page: 1816 year: 2014 ident: ref7 article-title: Mechanisms of white matter damage in multiple sclerosis publication-title: Glia doi: 10.1002/glia.22597 – volume: 36 start-page: 671 year: 2009 ident: ref33 article-title: Whole-body distribution and metabolism of [N-methyl-11C] (R)-1-(2-chlorophenyl)-N-(1-methylpropyl)-3-isoquinolinecarboxamide in humans; an imaging agent for in vivo assessment of peripheral benzodiazepine receptor activity with positron emission tomography publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-008-1000-1 – volume: 32 start-page: 223 year: 2010 ident: ref31 article-title: Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes publication-title: J Magn Reson Imaging doi: 10.1002/jmri.22214 – volume: 50 start-page: 646 year: 2001 ident: ref2 article-title: Immunopathology of secondary-progressive multiple sclerosis publication-title: Ann Neurol doi: 10.1002/ana.1255 – volume: 133 start-page: 13 year: 2017 ident: ref17 article-title: An updated histological classification system for multiple sclerosis lesions publication-title: Acta Neuropathol doi: 10.1007/s00401-016-1653-y – volume: 49 start-page: 1249 year: 2008 ident: ref23 article-title: Novel reference region model reveals increased microglial and reduced vascular binding of 11C-(R)-PK11195 in patients with Alzheimer’s disease publication-title: J Nucl Med doi: 10.2967/jnumed.108.050583 – volume: 21 start-page: 635 year: 2001 ident: ref18 article-title: Positron emission tomography compartmental models publication-title: J Cereb Blood Flow Metab doi: 10.1097/00004647-200106000-00002 – volume: 30 start-page: 1 year: 2000 ident: ref40 article-title: Measures of reliability in sports medicine and science publication-title: Sports Med doi: 10.2165/00007256-200030010-00001 – volume: 8 start-page: e57573 year: 2013 ident: ref8 article-title: Iron is a sensitive biomarker for inflammation in multiple sclerosis lesions publication-title: PLos One doi: 10.1371/journal.pone.0057573 – volume: 122 start-page: 15 year: 2014 ident: ref6 article-title: Pathology of multiple sclerosis and related inflammatory demyelinating diseases publication-title: Handbook of clinical neurology doi: 10.1016/B978-0-444-52001-2.00002-9 – volume: 56 start-page: 2375 year: 2011 ident: ref27 article-title: Physical and clinical performance of the mCT time-of-flight PET/CT scanner publication-title: Phys Med Biol doi: 10.1088/0031-9155/56/8/004 – volume: 133 start-page: 13 year: 2017 ident: ref4 article-title: An updated histological classification system for multiple sclerosis lesions publication-title: Acta Neuropathol doi: 10.1007/s00401-016-1653-y – volume: 74 start-page: 848 year: 2013 ident: ref5 article-title: Iron and neurodegeneration in the multiple sclerosis brain publication-title: Ann Neurol doi: 10.1002/ana.23974 – volume: 118 start-page: 1 year: 2008 ident: ref12 article-title: Translocator protein 18 kDa (TSPO): molecular sensor of brain injury and repair publication-title: Pharmacol Ther doi: 10.1016/j.pharmthera.2007.12.004 – volume: 16 start-page: 834 year: 1996 ident: ref36 article-title: Distribution volume ratios without blood sampling from graphical analysis of PET data publication-title: J Cereb Blood Flow Metab doi: 10.1097/00004647-199609000-00008 – volume: 25 start-page: 842 year: 2005 ident: ref13 article-title: Development of a tracer kinetic plasma input model for (R)-[11C]PK11195 brain studies publication-title: J Cereb Blood Flow Metab doi: 10.1038/sj.jcbfm.9600092 |
SSID | ssj0053866 |
Score | 2.3301625 |
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... |
SourceID | plos doaj pubmedcentral osti proquest gale pubmed crossref |
SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
StartPage | e0201289 |
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 |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1La9wwEBZlT72UJn3ETVp0KDQ5OFmvrNcxDQ2hpaWUBgKlCEmW0oWNHWKX0t_UP9kZWzZxCeTS60p-SPNp9I139A0hr0sdHYseIlXrRF6i-Ky1PuTg-JaVrpxXHA8nf_wkzs7L9xf84lapL8wJG-SBh4k7KmRwMeK2VqoyMqkccOzSF0zZKkjZR-vQOAZTgw-GVSxEOijHZHGU7HJ43dThEAgSOGU924h6vf7JKy8aWF6odrpp2ruY578JlLd2pNPH5FGikvR4GMIWeRDqbbKVFmtL95Oi9MET8udkqjZIm0i7Xw0dC6N0dKgh3WLD-gq8C7VJp4QCn6XAD6md1Dux0xWm8F1uALcUD0UMn3TpuqZJorWl-G2XjpmKtIWXgxmA-2GO_SXd_3KQfwP_DY_9vcm9vXFNnRfF988fChSGe0rOT999PTnLU5WG3HMluxwomQ0RlfQqrSvmtLaiwgNAIRS6FwTjvPJLpwPzjLsl8K1V5ZUScEkoK86ekUUNdtkh1DqHEU0UzsvSQmAUfLQKjC8j84qxjLDRZMYnCXOspLEx_f9yEkKZYeoNGtokQ2ckn666HiQ87un_FtEw9UUB7v4HgKVJsDT3wTIjbxBLBt0EvKK36bQDPAcFt8wxx8TeUmgY1N6sJyxvP2veRTQaIESo6usx_cl3phArqQTPyA6CdBxHa1YYonKgXRLuOwL37ubnA4ancTKg25jOmRE5Q_dsIuYt9fpHr0gusCqDZi_-x8ztkodgB9UnWeo9suhufoaXQPw696pf438B_VVYrg priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV1Lb9QwELZguXBBlFdDC_IBifaQsqkTP06oVFQVCIQQlVZCyLIde7vSNlk2QYjfxJ9kJnECQRVcYyeO7ZnxN_b4G0Ke5SpYFhx4qsbyNEfyWWOcT8HwzUtVWicLvJz87j0_v8jfLIpF3HBrYljlYBM7Q13WDvfIwUkH7F3AeiJebr6mmDUKT1djCo2b5BZSl2FIl1iMDhfoMufxuhwT2Ys4O0ebuvJHAJPANKvJctSx9o-2eVaDkiHn6bpursOff4dR_rEund0ldyKgpCe9BOyQG766R3aiyjb0IPJKH94nP0_HnIO0DrT9XtMhPUpL-0zSDRasrsDGUBPZSiigWgookZqRwxMrXWEg33IN0kvxakS_sUtXFY1ErQ3FHV46xCvSBn4ORgC-h5H2S3rw8TD9DFYcmv2xTp3Z2rpKs-zLh7cZjvEDcnH2-tPpeRpzNaSukKJNAZgZH5BPr1SqZFYpw0u8BuR9pjpasKIo3dwqzxwr7BxQ13HppOTwis_Lgj0kswrmZZdQYy36NYFbJ3ID7pF3wcgAwDUwJxlLCBumTLtIZI75NNa6O50T4ND0Q69xonWc6ISk41ubnsjjP_VfoTSMdZGGu3tQb5c6arXOhLchIObKZR6YkBYcwNxlTJrSCzFPyHOUJY3GAn7RmXjnAdpB2i19UmB4b84VdGp_UhOU3E2K91AaNcAi5PZ1GATlWp3xYyF5kZBdFNKhH43-rSzw3UFwry9-1Mvw2E8GoBuDOhMiJtI9GYhpSbW67HjJOeZmUOzxv5vcI7dhhGUXRKn2yazdfvNPANi19mmnvb8AQIJQvQ priority: 102 providerName: ProQuest |
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 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3da9swEBdt-rKXse6rXrugh8HaB4c4si3pYYw2NCsbLaUsEBjDSLKcBVK7iz22_k37J3dny2YeGWMvJkQftqQ76XfS6XeEvAplpllmwFJVOvZDJJ9VylgfJr5xKlNtRISXky-v4ot5-H4RLXZIG7PVdWC51bTDeFLzzXr04-v9W1D4N3XUBh60hUZ3RW5HAH9gypW7ZA_WJo6qehl25wqg3fXpJaIWP56MmbtM97daeotVzenfzdyDAlQQGVHXRbkNnf7pZPnbqjV7RB46uElPG_nYJzs2f0z2nUKX9NixTp88IT-nXURCWmS0-l7QNnhKRZs40yUmrG5hBqLKcZlQwLwUMCRVHcMnZrpFN7_lGmSb4sWJZtuXrnLqaFxLivu_tPVmpCV8HPQA1Id--Et6fHPif4I5Hl57v_aN2ugi94Pg8_WHAMnjnpL57Pzj9MJ3kRx8Ewle-QDblM2QbS-VMmVaShWneEnI2kDWpGFRlJqxlpYZFukxYLJJaoSIoYgN04g9I4McxuWAUKU1Wj1ZrA0PFRhP1mRKZABrM2YEYx5h7ZAlxtGcY7SNdVKf3XEwd5quT3CgEzfQHvG7UncNzcc_8p-hNHR5kaS7_qPYLBOn80nArc4yRGShCDPGhQbzMDQBEyq1nI898hplKUHhhk80yt2IgPcgKVdyGqHzbxhLaNRRLydMAaaXfIjSmABoQuZfgy5SpkqCeMJFHHnkAIW0bUeZTNCMjQCacai3Fdztyc8bGe7ayQCSo8unR3hPunsd0U_JV19q1vIYIzdI9uI_e_qQPIAfova5lEdkUG2-2ZeAAys9JLt8weEppgE-Z--GZO_s_Or6ZljvrAxr1f8FC_ljxg |
linkProvider | Scholars Portal |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELaq5QAXRHl1aQEfQLSHlGSdxPEBoVKotmxbIdRKKyFkbMdZVtomyyao6m9C4jcykziBoApOvcbOw57xzDfO-BtCnoUi0ywzEKkqHXshks8qZawHhs9PRapNEuHh5OOTeHwWvp9G0zXysz0Lg2mVrU2sDXVaGNwjhyAdsHcE_oS_Xn7zsGoU_l1tS2g0ajGxlxcQspWvDt-CfJ-PRgfvTvfHnqsq4Jko4ZUHEELZDJnfUiFSpoVQcYoHVqwNRE1gFUWp8bWwzLBI-4APRqlJkhhusWGKVSLA5N8Ax-vjiuLTLsAD2xHH7nge48FLpw27yyK3uwDLwBWInvurqwR0vmBQwKJGjtVFUV6Fd_9O2_zDDx7cIbcdgKV7jcatkzWb3yXrzkSUdNvxWO_cIz_2uxqHtMhodVHQthxLRZvK1SU2zM_BplHl2FEooGgKqJSqjjMUO51j4uBsAauF4lGMZiOZznPqiGFLijvKtM2PpCV8HMwAPA8z-2d0--OO9wm8Brz2cuEZtdJF7gXB5w-TAOno7pOza5HiAzLIQS4bhCqtMY7KYm14qCAcsyZTSQZAOWMmYWxIWCsyaRxxOtbvWMj6byCHAKqZeomClk7QQ-J1dy0b4pD_9H-D2tD1Rdrv-kKxmklnRWTArc4yxHhhEmaMJxoCztAELFGp5dwfkheoSxKNE3yiUe6MBbwHab7kXoTpxGEsYFBbvZ5gVEyveRO1UQIMQy5hg0lXppJBPOJJHA3JBippO45S_l6c8NxWca9uftjocDdOBiAfk0iHhPe0uzcR_ZZ8_rXmQY-xFoRgj_79yqfk5vj0-EgeHZ5MNsktmO2kTuAUW2RQrb7bxwAqK_2kXsmUfLlu0_ELVPCL5g |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NbtQwELaqRUJcEOWvSwv4AKI9pN2skzg-IFRaVi0LVYWotBJCxnbsZaVtsmyCqj4Tb8DTMZM4gUUVnHqNnR97xjPfOONvCHkWCaeZMxCpKp0EEZLPKmVsAIZvkIlMmzTGw8nvT5Kjs-jtJJ6skZ_tWRhMq2xtYm2os8LgHjkE6YC9Y_AnfM_5tIjTw9GrxbcAK0jhn9a2nEajImN7eQHhW_ny-BBk_Xw4HL35eHAU-AoDgYlTXgUAJ5R1yAKXCZExLYRKMjy8Ym0oajKrOM7MQAvLDIv1ALDCMDNpmsAtNsqwYgSY_xucxSGuMT7pgj2wI0nij-oxHu55zdhdFLndBYgGbkGsuMK6YkDnF3oFLHDkW50X5VXY9-8Uzj984ugOue3BLN1vtG-drNn8Lln35qKk257Teuce-XHQ1TukhaPVRUHb0iwVbapYl9gwOwf7RpVnSqGAqCkgVKo6_lDsdI5JhNM5rByKxzKaTWU6y6kniS0p7i7TNleSlvBxMAPwPMzyn9LtDzvBJ_Ag8NrLeWDUUhd5EIafT8chUtPdJ2fXIsUHpJeDXDYIVVpjTOUSbXikIDSzxqnUAWh2zKSM9QlrRSaNJ1HHWh5zWf8Z5BBMNVMvUdDSC7pPgu6uRUMi8p_-r1Ebur5IAV5fKJZT6S2KDLnVziHei9LIMZ5qCD4jE7JUZZbzQZ-8QF2SaKjgE43y5y3gPUj5JfdjTC2OEgGD2lrpCQbGrDRvojZKgGTIK2wwActUMkyGPE3iPtlAJW3HUcrfCxWe2yru1c0PGx3uxskA8GNCaZ_wFe1emYjVlnz2teZET7AuhGCP_v3Kp-QmGA357vhkvEluwWSndS6n2CK9avndPgZ8Wekn9UKm5Mt1W45f1MCQHA |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Comparison+of+two+different+methods+of+image+analysis+for+the+assessment+of+microglial+activation+in+patients+with+multiple+sclerosis+using+%28R%29-%5BN-methyl-carbon-11%5DPK11195&rft.jtitle=PloS+one&rft.au=Kang%2C+Yeona&rft.au=Schlyer%2C+David&rft.au=Kaunzner%2C+Ulrike+W.&rft.au=Kuceyeski%2C+Amy&rft.date=2018-08-09&rft.issn=1932-6203&rft.eissn=1932-6203&rft.volume=13&rft.issue=8&rft.spage=e0201289&rft_id=info:doi/10.1371%2Fjournal.pone.0201289&rft.externalDBID=n%2Fa&rft.externalDocID=10_1371_journal_pone_0201289 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-6203&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-6203&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-6203&client=summon |