Compartmental modeling and simplified quantification of [11C]sertraline distribution in human brain View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-09

AUTHORS

Ji Who Kim, Jae Sung Lee, Su Jin Kim, Lathika Hoigebazar, Kwang-Hee Shin, Kyung-Sang Yu, Wonsik Ahn, Jae Min Jeong, Dong Soo Lee

ABSTRACT

Sertraline hydrochloride (Zoloft®, Pfizer) is an antidepressant drug of the selective serotonin reuptake inhibitor (SSRI). The aims of this study were evaluating its in vivo distribution and kinetic models in human brain. Also, this study was to determine optimal scan duration of dynamic positron emission tomography (PET) for accurate [11C]sertraline kinetic parameters and the feasibility of semi-quantitative approach for assessing distribution volume ratio (DVR). [11C]sertraline dynamic PET and magnetic resonance imaging (MRI) scans were performed in 5 healthy males. Blood sampling were collected for the input function. Tissue time-activity curves (TAC) were obtained in 7 brain regions using MRI. Goodness-of-fit for TAC using simple tissue compartment model (2C2P) and 3-compartment models with irreversible (3C3P) and reversible (3C4P) were compared. Total distribution volume (DV) for each region of interest (ROI) and DVR were calculated. Also, ratio between the standard uptake value (SUV) of each ROI and that of cerebellum (SUVr) was computed and correlated with the DVR. Akaike information criteria analysis showed that the 2C2P was the most suitable model. Average values of K1 (mL/min/g) and k2 (1/min) were 0.54 and 0.012 in putamen. PET scan time longer than 50 min was required for the accurate estimation of DV. SUVr in 50–90 min was well correlated with DVR. More... »

PAGES

1591-1597

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12272-012-0910-4

DOI

http://dx.doi.org/10.1007/s12272-012-0910-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006812526

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23054716


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Antidepressive Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carbon Radioisotopes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cerebellum", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feasibility Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Biological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Positron-Emission Tomography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Putamen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Serotonin Uptake Inhibitors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sertraline", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tissue Distribution", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University, Seoul, Korea", 
            "Interdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea", 
            "Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Ji Who", 
        "id": "sg:person.012324433773.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012324433773.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University, Seoul, Korea", 
            "Department of Biomedical Sciences, Seoul National University, Seoul, Korea", 
            "Department of Brain & Cognitive Sciences, Seoul National University, Seoul, Korea", 
            "Interdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea", 
            "Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea", 
            "Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Jae Sung", 
        "id": "sg:person.0677005044.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677005044.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University, Seoul, Korea", 
            "Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Su Jin", 
        "id": "sg:person.0615557266.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615557266.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Interdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University, Seoul, Korea", 
            "Interdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hoigebazar", 
        "givenName": "Lathika", 
        "id": "sg:person.01235627015.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235627015.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Molecular Medicine & Biopharmaceutical Sciences, Seoul National University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Molecular Medicine & Biopharmaceutical Sciences, Seoul National University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shin", 
        "givenName": "Kwang-Hee", 
        "id": "sg:person.011027307512.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011027307512.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Molecular Medicine & Biopharmaceutical Sciences, Seoul National University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Molecular Medicine & Biopharmaceutical Sciences, Seoul National University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "Kyung-Sang", 
        "id": "sg:person.012253717172.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012253717172.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Interdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Interdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahn", 
        "givenName": "Wonsik", 
        "id": "sg:person.01347262771.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347262771.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University, Seoul, Korea", 
            "Interdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea", 
            "Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeong", 
        "givenName": "Jae Min", 
        "id": "sg:person.01301360400.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301360400.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.31501.36", 
          "name": [
            "Department of Nuclear Medicine, Seoul National University, Seoul, Korea", 
            "Department of Molecular Medicine & Biopharmaceutical Sciences, Seoul National University, Seoul, Korea", 
            "Interdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea", 
            "Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Dong Soo", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02353864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017678114", 
          "https://doi.org/10.1007/bf02353864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.clpt.6100049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029395067", 
          "https://doi.org/10.1038/sj.clpt.6100049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01117450", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046170033", 
          "https://doi.org/10.1007/bf01117450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00213-007-0806-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045607960", 
          "https://doi.org/10.1007/s00213-007-0806-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13139-011-0075-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012701950", 
          "https://doi.org/10.1007/s13139-011-0075-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13139-011-0109-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051653808", 
          "https://doi.org/10.1007/s13139-011-0109-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-09", 
    "datePublishedReg": "2012-09-01", 
    "description": "Sertraline hydrochloride (Zoloft\u00ae, Pfizer) is an antidepressant drug of the selective serotonin reuptake inhibitor (SSRI). The aims of this study were evaluating its in vivo distribution and kinetic models in human brain. Also, this study was to determine optimal scan duration of dynamic positron emission tomography (PET) for accurate [11C]sertraline kinetic parameters and the feasibility of semi-quantitative approach for assessing distribution volume ratio (DVR). [11C]sertraline dynamic PET and magnetic resonance imaging (MRI) scans were performed in 5 healthy males. Blood sampling were collected for the input function. Tissue time-activity curves (TAC) were obtained in 7 brain regions using MRI. Goodness-of-fit for TAC using simple tissue compartment model (2C2P) and 3-compartment models with irreversible (3C3P) and reversible (3C4P) were compared. Total distribution volume (DV) for each region of interest (ROI) and DVR were calculated. Also, ratio between the standard uptake value (SUV) of each ROI and that of cerebellum (SUVr) was computed and correlated with the DVR. Akaike information criteria analysis showed that the 2C2P was the most suitable model. Average values of K1 (mL/min/g) and k2 (1/min) were 0.54 and 0.012 in putamen. PET scan time longer than 50 min was required for the accurate estimation of DV. SUVr in 50\u201390 min was well correlated with DVR.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s12272-012-0910-4", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1090680", 
        "issn": [
          "0253-6269", 
          "1976-3786"
        ], 
        "name": "Archives of Pharmacal Research", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "35"
      }
    ], 
    "keywords": [
      "distribution volume ratio", 
      "selective serotonin reuptake inhibitors", 
      "positron emission tomography", 
      "standard uptake value", 
      "distribution volume", 
      "dynamic positron emission tomography", 
      "magnetic resonance imaging (MRI) scans", 
      "optimal scan duration", 
      "tissue time-activity curves", 
      "serotonin reuptake inhibitors", 
      "resonance imaging scans", 
      "total distribution volume", 
      "human brain", 
      "reuptake inhibitors", 
      "imaging scans", 
      "antidepressant drugs", 
      "healthy males", 
      "blood sampling", 
      "time-activity curves", 
      "uptake value", 
      "brain regions", 
      "emission tomography", 
      "region of interest", 
      "tissue compartment model", 
      "sertraline hydrochloride", 
      "vivo distribution", 
      "brain", 
      "compartmental modeling", 
      "Simplified quantification", 
      "scan duration", 
      "compartment model", 
      "putamen", 
      "min", 
      "cerebellum", 
      "SUVR", 
      "input function", 
      "MRI", 
      "drugs", 
      "information criterion analysis", 
      "tomography", 
      "PET scan time", 
      "scans", 
      "scan time", 
      "inhibitors", 
      "males", 
      "study", 
      "duration", 
      "suitable model", 
      "aim", 
      "semi-quantitative approach", 
      "hydrochloride", 
      "ratio", 
      "volume", 
      "function", 
      "values", 
      "region", 
      "feasibility", 
      "model", 
      "sampling", 
      "quantification", 
      "time", 
      "curves", 
      "analysis", 
      "K1", 
      "volume ratio", 
      "distribution", 
      "average value", 
      "interest", 
      "approach", 
      "parameters", 
      "K2", 
      "kinetic parameters", 
      "goodness", 
      "fit", 
      "accurate estimation", 
      "estimation", 
      "modeling", 
      "criteria analysis", 
      "kinetic model"
    ], 
    "name": "Compartmental modeling and simplified quantification of [11C]sertraline distribution in human brain", 
    "pagination": "1591-1597", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006812526"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12272-012-0910-4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23054716"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12272-012-0910-4", 
      "https://app.dimensions.ai/details/publication/pub.1006812526"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T20:56", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_569.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s12272-012-0910-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12272-012-0910-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12272-012-0910-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12272-012-0910-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12272-012-0910-4'


 

This table displays all metadata directly associated to this object as RDF triples.

296 TRIPLES      21 PREDICATES      128 URIs      114 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12272-012-0910-4 schema:about N0657082219c34c9290668a631f104b7f
2 N0ea257b460a84f99a3e79eac51b3a346
3 N1c49b5e822244afdb5737c504810ff16
4 N49760f55053f4f01adcf768eaf9fffd2
5 N52a075f641cc489cb0478ce283f2c05a
6 N55b88f25ec9349bdb4aec813a759d15b
7 N56ca0d7b8617405fa0d0980328db7336
8 N5b99261172c94b27925bd1ef126d0acf
9 N6426462f5b344488ac420015f5ad8fb9
10 N66a2fd53e6de4050932655586078bcbc
11 N7da35bd987514247804619e1b6ca8254
12 N80ff7f5fb96f45058961be4d0c548958
13 N8ff9712a17314e699fe3631b556b06c7
14 Nc534e61c3c724526a3a47de52797ab76
15 Nd0c566ff609740e8844dee540e8ddd09
16 Nd5acf665ca634d34acc83e3d3615ac9b
17 Nddb4c7351e154e33ba4a768f19a14d70
18 anzsrc-for:11
19 anzsrc-for:1103
20 schema:author Nc0b9bfe73bf146a38935b15c37506412
21 schema:citation sg:pub.10.1007/bf01117450
22 sg:pub.10.1007/bf02353864
23 sg:pub.10.1007/s00213-007-0806-z
24 sg:pub.10.1007/s13139-011-0075-y
25 sg:pub.10.1007/s13139-011-0109-5
26 sg:pub.10.1038/sj.clpt.6100049
27 schema:datePublished 2012-09
28 schema:datePublishedReg 2012-09-01
29 schema:description Sertraline hydrochloride (Zoloft®, Pfizer) is an antidepressant drug of the selective serotonin reuptake inhibitor (SSRI). The aims of this study were evaluating its in vivo distribution and kinetic models in human brain. Also, this study was to determine optimal scan duration of dynamic positron emission tomography (PET) for accurate [11C]sertraline kinetic parameters and the feasibility of semi-quantitative approach for assessing distribution volume ratio (DVR). [11C]sertraline dynamic PET and magnetic resonance imaging (MRI) scans were performed in 5 healthy males. Blood sampling were collected for the input function. Tissue time-activity curves (TAC) were obtained in 7 brain regions using MRI. Goodness-of-fit for TAC using simple tissue compartment model (2C2P) and 3-compartment models with irreversible (3C3P) and reversible (3C4P) were compared. Total distribution volume (DV) for each region of interest (ROI) and DVR were calculated. Also, ratio between the standard uptake value (SUV) of each ROI and that of cerebellum (SUVr) was computed and correlated with the DVR. Akaike information criteria analysis showed that the 2C2P was the most suitable model. Average values of K1 (mL/min/g) and k2 (1/min) were 0.54 and 0.012 in putamen. PET scan time longer than 50 min was required for the accurate estimation of DV. SUVr in 50–90 min was well correlated with DVR.
30 schema:genre article
31 schema:isAccessibleForFree false
32 schema:isPartOf N5463f727e7e949ea852490ceccfe47ad
33 Nfb8c944a497443de8cf3099a1433e446
34 sg:journal.1090680
35 schema:keywords K1
36 K2
37 MRI
38 PET scan time
39 SUVR
40 Simplified quantification
41 accurate estimation
42 aim
43 analysis
44 antidepressant drugs
45 approach
46 average value
47 blood sampling
48 brain
49 brain regions
50 cerebellum
51 compartment model
52 compartmental modeling
53 criteria analysis
54 curves
55 distribution
56 distribution volume
57 distribution volume ratio
58 drugs
59 duration
60 dynamic positron emission tomography
61 emission tomography
62 estimation
63 feasibility
64 fit
65 function
66 goodness
67 healthy males
68 human brain
69 hydrochloride
70 imaging scans
71 information criterion analysis
72 inhibitors
73 input function
74 interest
75 kinetic model
76 kinetic parameters
77 magnetic resonance imaging (MRI) scans
78 males
79 min
80 model
81 modeling
82 optimal scan duration
83 parameters
84 positron emission tomography
85 putamen
86 quantification
87 ratio
88 region
89 region of interest
90 resonance imaging scans
91 reuptake inhibitors
92 sampling
93 scan duration
94 scan time
95 scans
96 selective serotonin reuptake inhibitors
97 semi-quantitative approach
98 serotonin reuptake inhibitors
99 sertraline hydrochloride
100 standard uptake value
101 study
102 suitable model
103 time
104 time-activity curves
105 tissue compartment model
106 tissue time-activity curves
107 tomography
108 total distribution volume
109 uptake value
110 values
111 vivo distribution
112 volume
113 volume ratio
114 schema:name Compartmental modeling and simplified quantification of [11C]sertraline distribution in human brain
115 schema:pagination 1591-1597
116 schema:productId N2f3358ce34174d2bb3de9a1311f53711
117 N58c3dbe5125b426187a00d0fafbd1145
118 Nd499ccc97af64f369fe60e12e5bcbf86
119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006812526
120 https://doi.org/10.1007/s12272-012-0910-4
121 schema:sdDatePublished 2022-11-24T20:56
122 schema:sdLicense https://scigraph.springernature.com/explorer/license/
123 schema:sdPublisher N884b4e6b92cc464299eaa5e37870eec3
124 schema:url https://doi.org/10.1007/s12272-012-0910-4
125 sgo:license sg:explorer/license/
126 sgo:sdDataset articles
127 rdf:type schema:ScholarlyArticle
128 N0657082219c34c9290668a631f104b7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Serotonin Uptake Inhibitors
130 rdf:type schema:DefinedTerm
131 N0ea257b460a84f99a3e79eac51b3a346 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Humans
133 rdf:type schema:DefinedTerm
134 N1c49b5e822244afdb5737c504810ff16 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Feasibility Studies
136 rdf:type schema:DefinedTerm
137 N2f3358ce34174d2bb3de9a1311f53711 schema:name dimensions_id
138 schema:value pub.1006812526
139 rdf:type schema:PropertyValue
140 N42181b009a164366beb22bd05b5b2bce rdf:first Ndd4f63fc150244529b291893c75eb52f
141 rdf:rest rdf:nil
142 N49760f55053f4f01adcf768eaf9fffd2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Carbon Radioisotopes
144 rdf:type schema:DefinedTerm
145 N51b40718ae814593a89a0ec47e5cd58d rdf:first sg:person.01235627015.17
146 rdf:rest Naec42a2d0e744f9d876c528214b49ba3
147 N52a075f641cc489cb0478ce283f2c05a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Tissue Distribution
149 rdf:type schema:DefinedTerm
150 N5463f727e7e949ea852490ceccfe47ad schema:volumeNumber 35
151 rdf:type schema:PublicationVolume
152 N55b88f25ec9349bdb4aec813a759d15b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Young Adult
154 rdf:type schema:DefinedTerm
155 N56ca0d7b8617405fa0d0980328db7336 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Sertraline
157 rdf:type schema:DefinedTerm
158 N58c3dbe5125b426187a00d0fafbd1145 schema:name pubmed_id
159 schema:value 23054716
160 rdf:type schema:PropertyValue
161 N5b99261172c94b27925bd1ef126d0acf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Putamen
163 rdf:type schema:DefinedTerm
164 N6426462f5b344488ac420015f5ad8fb9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Male
166 rdf:type schema:DefinedTerm
167 N66a2fd53e6de4050932655586078bcbc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Adult
169 rdf:type schema:DefinedTerm
170 N79a0aea9408740aaa38c2ec1ecf6f880 rdf:first sg:person.012253717172.67
171 rdf:rest Ndd085bcae117467882b9e23c83ba89a0
172 N7da35bd987514247804619e1b6ca8254 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Brain
174 rdf:type schema:DefinedTerm
175 N80ff7f5fb96f45058961be4d0c548958 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Time Factors
177 rdf:type schema:DefinedTerm
178 N884b4e6b92cc464299eaa5e37870eec3 schema:name Springer Nature - SN SciGraph project
179 rdf:type schema:Organization
180 N8ff9712a17314e699fe3631b556b06c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Positron-Emission Tomography
182 rdf:type schema:DefinedTerm
183 N918d6054fdba4f9cb5ddc0e53ea9a600 rdf:first sg:person.0615557266.50
184 rdf:rest N51b40718ae814593a89a0ec47e5cd58d
185 N9f84b0cbb08d4bfab143dd6b03974d16 rdf:first sg:person.0677005044.62
186 rdf:rest N918d6054fdba4f9cb5ddc0e53ea9a600
187 Naec42a2d0e744f9d876c528214b49ba3 rdf:first sg:person.011027307512.28
188 rdf:rest N79a0aea9408740aaa38c2ec1ecf6f880
189 Nb979ddbfdc4046e0b6498d9b6144f4ec rdf:first sg:person.01301360400.94
190 rdf:rest N42181b009a164366beb22bd05b5b2bce
191 Nc0b9bfe73bf146a38935b15c37506412 rdf:first sg:person.012324433773.25
192 rdf:rest N9f84b0cbb08d4bfab143dd6b03974d16
193 Nc534e61c3c724526a3a47de52797ab76 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Models, Biological
195 rdf:type schema:DefinedTerm
196 Nd0c566ff609740e8844dee540e8ddd09 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Antidepressive Agents
198 rdf:type schema:DefinedTerm
199 Nd499ccc97af64f369fe60e12e5bcbf86 schema:name doi
200 schema:value 10.1007/s12272-012-0910-4
201 rdf:type schema:PropertyValue
202 Nd5acf665ca634d34acc83e3d3615ac9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
203 schema:name Magnetic Resonance Imaging
204 rdf:type schema:DefinedTerm
205 Ndd085bcae117467882b9e23c83ba89a0 rdf:first sg:person.01347262771.30
206 rdf:rest Nb979ddbfdc4046e0b6498d9b6144f4ec
207 Ndd4f63fc150244529b291893c75eb52f schema:affiliation grid-institutes:grid.31501.36
208 schema:familyName Lee
209 schema:givenName Dong Soo
210 rdf:type schema:Person
211 Nddb4c7351e154e33ba4a768f19a14d70 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
212 schema:name Cerebellum
213 rdf:type schema:DefinedTerm
214 Nfb8c944a497443de8cf3099a1433e446 schema:issueNumber 9
215 rdf:type schema:PublicationIssue
216 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
217 schema:name Medical and Health Sciences
218 rdf:type schema:DefinedTerm
219 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
220 schema:name Clinical Sciences
221 rdf:type schema:DefinedTerm
222 sg:journal.1090680 schema:issn 0253-6269
223 1976-3786
224 schema:name Archives of Pharmacal Research
225 schema:publisher Springer Nature
226 rdf:type schema:Periodical
227 sg:person.011027307512.28 schema:affiliation grid-institutes:grid.31501.36
228 schema:familyName Shin
229 schema:givenName Kwang-Hee
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011027307512.28
231 rdf:type schema:Person
232 sg:person.012253717172.67 schema:affiliation grid-institutes:grid.31501.36
233 schema:familyName Yu
234 schema:givenName Kyung-Sang
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012253717172.67
236 rdf:type schema:Person
237 sg:person.012324433773.25 schema:affiliation grid-institutes:grid.31501.36
238 schema:familyName Kim
239 schema:givenName Ji Who
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012324433773.25
241 rdf:type schema:Person
242 sg:person.01235627015.17 schema:affiliation grid-institutes:grid.31501.36
243 schema:familyName Hoigebazar
244 schema:givenName Lathika
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235627015.17
246 rdf:type schema:Person
247 sg:person.01301360400.94 schema:affiliation grid-institutes:grid.31501.36
248 schema:familyName Jeong
249 schema:givenName Jae Min
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01301360400.94
251 rdf:type schema:Person
252 sg:person.01347262771.30 schema:affiliation grid-institutes:grid.31501.36
253 schema:familyName Ahn
254 schema:givenName Wonsik
255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347262771.30
256 rdf:type schema:Person
257 sg:person.0615557266.50 schema:affiliation grid-institutes:grid.31501.36
258 schema:familyName Kim
259 schema:givenName Su Jin
260 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615557266.50
261 rdf:type schema:Person
262 sg:person.0677005044.62 schema:affiliation grid-institutes:grid.31501.36
263 schema:familyName Lee
264 schema:givenName Jae Sung
265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677005044.62
266 rdf:type schema:Person
267 sg:pub.10.1007/bf01117450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046170033
268 https://doi.org/10.1007/bf01117450
269 rdf:type schema:CreativeWork
270 sg:pub.10.1007/bf02353864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017678114
271 https://doi.org/10.1007/bf02353864
272 rdf:type schema:CreativeWork
273 sg:pub.10.1007/s00213-007-0806-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1045607960
274 https://doi.org/10.1007/s00213-007-0806-z
275 rdf:type schema:CreativeWork
276 sg:pub.10.1007/s13139-011-0075-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1012701950
277 https://doi.org/10.1007/s13139-011-0075-y
278 rdf:type schema:CreativeWork
279 sg:pub.10.1007/s13139-011-0109-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051653808
280 https://doi.org/10.1007/s13139-011-0109-5
281 rdf:type schema:CreativeWork
282 sg:pub.10.1038/sj.clpt.6100049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029395067
283 https://doi.org/10.1038/sj.clpt.6100049
284 rdf:type schema:CreativeWork
285 grid-institutes:grid.31501.36 schema:alternateName Department of Molecular Medicine & Biopharmaceutical Sciences, Seoul National University, Seoul, Korea
286 Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, Korea
287 Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea
288 Interdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea
289 schema:name Department of Biomedical Sciences, Seoul National University, Seoul, Korea
290 Department of Brain & Cognitive Sciences, Seoul National University, Seoul, Korea
291 Department of Molecular Medicine & Biopharmaceutical Sciences, Seoul National University, Seoul, Korea
292 Department of Nuclear Medicine, Seoul National University College of Medicine, 110-744, Seoul, Korea
293 Department of Nuclear Medicine, Seoul National University, Seoul, Korea
294 Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea
295 Interdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea
296 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...