Effect of linearization correction on statistical parametric mapping (SPM): A99mTc-HMPAO brain perfusion SPECT study in mild Alzheimer’s disease View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-10

AUTHORS

Md. Ashik B. Ansar, Yasuhiro Osaki, Hiroaki Kazui, Naohiko Oku, Masashi Takasawa, Yasuyuki Kimura, Nurun N. Begum, Yoshitaka Ikejiri, Masatoshi Takeda, Jun Hatazawa

ABSTRACT

ObjectiveStatistical parametric mapping (SPM) was employed to investigate the regional decline in cerebral blood flow (rCBF) as measured by99mTc-hexamethyl propylene amine oxime (HMPAO) single photon emission computed tomography (SPECT) in mild Alzheimer’s disease (AD). However, the role of the post reconstruction image processing on the interpretation of SPM, which detects rCBF pattern, has not been precisely studied. We performed99mTc-HMPAO SPECT in mild AD patients and analyzed the effect of linearization correction for washout of the tracer on the detectability of abnormal perfusion.MethodsEleven mild AD (NINCDS-ADRDA, male/female, 5/6; mean ± SD age, 70.6 ± 6.2 years; mean ± SD mini-mental state examination score, 23.9 ± 3.41; clinical dementia rating score, 1) and eleven normal control subjects (male/female, 4/7; mean ± SD age, 66.8 ± 8.4 years) were enrolled in this study.99mTc-HMPAO SPECT was performed with a four-head rotating gamma camera. We employed linearization uncorrected (LU) and linearization corrected (LC) images for the patients and controls. The pattern of hypoperfusion in mild AD on LU and LC images was detected by SPM99 applying the same image standardization and analytical parameters. A statistical inter image-group analysis (LU vs. LC) was also performed.ResultsClear differences were observed between the interpretation of SPM with LU and LC images. Significant hypoperfusion in mild AD was found on the LU images in the left posterior cingulate gyrus, right precuneus, left hippocampus, left uncus, and left superior temporal gyrus (cluster level, corrected p < 0.005). With the LC images, significant hypoperfusion in AD was found only in the bilateral posterior cingulate gyrus and left precuneus (cluster level, corrected p < 0.005). A pattern of greater rCBF distribution at the high flow cortices and low flow cortices was observed on LC and LU images, respectively, in the case of both controls and mild AD patients.ConclusionHippocampal hypoperfusion could be detected by means of SPM in the LU images but not in the LC images. The results of SPM may vary in99mTc-HMPAO SPECT with or without linearization correction, which should be carefully evaluated when interpreting the pattern of rCBF changes in mild Alzheimer’s disease. More... »

PAGES

511-517

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf03026814

DOI

http://dx.doi.org/10.1007/bf03026814

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015998448

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17134017


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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Alzheimer Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain Mapping", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cerebrovascular Circulation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Data Interpretation, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiopharmaceuticals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Technetium Tc 99m Exametazime", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, Emission-Computed, Single-Photon", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan", 
            "Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ansar", 
        "givenName": "Md. Ashik B.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Osaki", 
        "givenName": "Yasuhiro", 
        "id": "sg:person.01314200006.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314200006.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kazui", 
        "givenName": "Hiroaki", 
        "id": "sg:person.01207327153.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207327153.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oku", 
        "givenName": "Naohiko", 
        "id": "sg:person.01233525032.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233525032.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takasawa", 
        "givenName": "Masashi", 
        "id": "sg:person.01165411632.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165411632.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kimura", 
        "givenName": "Yasuyuki", 
        "id": "sg:person.01371773333.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371773333.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Begum", 
        "givenName": "Nurun N.", 
        "id": "sg:person.01224560241.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224560241.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ikejiri", 
        "givenName": "Yoshitaka", 
        "id": "sg:person.01274214020.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274214020.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takeda", 
        "givenName": "Masatoshi", 
        "id": "sg:person.01275321421.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275321421.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan", 
          "id": "http://www.grid.ac/institutes/grid.136593.b", 
          "name": [
            "Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hatazawa", 
        "givenName": "Jun", 
        "id": "sg:person.01232531510.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232531510.11"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02988596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047696517", 
          "https://doi.org/10.1007/bf02988596"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00868397", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010291006", 
          "https://doi.org/10.1007/bf00868397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00308809", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000355620", 
          "https://doi.org/10.1007/bf00308809"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004010051163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016015467", 
          "https://doi.org/10.1007/s004010051163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03165003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047751097", 
          "https://doi.org/10.1007/bf03165003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00208997", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012389586", 
          "https://doi.org/10.1007/bf00208997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-002-0816-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020763489", 
          "https://doi.org/10.1007/s00259-002-0816-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-003-1193-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044551882", 
          "https://doi.org/10.1007/s00259-003-1193-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-10", 
    "datePublishedReg": "2006-10-01", 
    "description": "ObjectiveStatistical parametric mapping (SPM) was employed to investigate the regional decline in cerebral blood flow (rCBF) as measured by99mTc-hexamethyl propylene amine oxime (HMPAO) single photon emission computed tomography (SPECT) in mild Alzheimer\u2019s disease (AD). However, the role of the post reconstruction image processing on the interpretation of SPM, which detects rCBF pattern, has not been precisely studied. We performed99mTc-HMPAO SPECT in mild AD patients and analyzed the effect of linearization correction for washout of the tracer on the detectability of abnormal perfusion.MethodsEleven mild AD (NINCDS-ADRDA, male/female, 5/6; mean \u00b1 SD age, 70.6 \u00b1 6.2 years; mean \u00b1 SD mini-mental state examination score, 23.9 \u00b1 3.41; clinical dementia rating score, 1) and eleven normal control subjects (male/female, 4/7; mean \u00b1 SD age, 66.8 \u00b1 8.4 years) were enrolled in this study.99mTc-HMPAO SPECT was performed with a four-head rotating gamma camera. We employed linearization uncorrected (LU) and linearization corrected (LC) images for the patients and controls. The pattern of hypoperfusion in mild AD on LU and LC images was detected by SPM99 applying the same image standardization and analytical parameters. A statistical inter image-group analysis (LU vs. LC) was also performed.ResultsClear differences were observed between the interpretation of SPM with LU and LC images. Significant hypoperfusion in mild AD was found on the LU images in the left posterior cingulate gyrus, right precuneus, left hippocampus, left uncus, and left superior temporal gyrus (cluster level, corrected p < 0.005). With the LC images, significant hypoperfusion in AD was found only in the bilateral posterior cingulate gyrus and left precuneus (cluster level, corrected p < 0.005). A pattern of greater rCBF distribution at the high flow cortices and low flow cortices was observed on LC and LU images, respectively, in the case of both controls and mild AD patients.ConclusionHippocampal hypoperfusion could be detected by means of SPM in the LU images but not in the LC images. The results of SPM may vary in99mTc-HMPAO SPECT with or without linearization correction, which should be carefully evaluated when interpreting the pattern of rCBF changes in mild Alzheimer\u2019s disease.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/bf03026814", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1099601", 
        "issn": [
          "0914-7187", 
          "1864-6433"
        ], 
        "name": "Annals of Nuclear Medicine", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "keywords": [
      "mild Alzheimer's disease", 
      "statistical parametric mapping", 
      "mild AD patients", 
      "posterior cingulate gyrus", 
      "Alzheimer's disease", 
      "significant hypoperfusion", 
      "AD patients", 
      "cingulate gyrus", 
      "amine oxime single photon emission", 
      "oxime single photon emission", 
      "bilateral posterior cingulate gyrus", 
      "pattern of hypoperfusion", 
      "brain perfusion SPECT study", 
      "parametric mapping", 
      "linearization correction", 
      "cerebral blood flow", 
      "left posterior cingulate gyrus", 
      "normal control subjects", 
      "single photon emission", 
      "superior temporal gyrus", 
      "rCBF distribution", 
      "rCBF patterns", 
      "HMPAO SPECT", 
      "abnormal perfusion", 
      "rCBF changes", 
      "control subjects", 
      "blood flow", 
      "hypoperfusion", 
      "right precuneus", 
      "SPECT studies", 
      "LC images", 
      "temporal gyrus", 
      "disease", 
      "patients", 
      "gyrus", 
      "SPECT", 
      "photon emission", 
      "cortex", 
      "precuneus", 
      "gamma camera", 
      "hippocampus", 
      "perfusion", 
      "SPM99", 
      "washout", 
      "tomography", 
      "uncus", 
      "control", 
      "study", 
      "subjects", 
      "patterns", 
      "effect", 
      "four-head", 
      "correction", 
      "differences", 
      "decline", 
      "cases", 
      "role", 
      "changes", 
      "standardization", 
      "image standardization", 
      "tracer", 
      "LC", 
      "analysis", 
      "results", 
      "images", 
      "detectability", 
      "means", 
      "interpretation", 
      "mapping", 
      "parameters", 
      "flow", 
      "distribution", 
      "Lu", 
      "processing", 
      "analytical parameters", 
      "regional decline", 
      "camera", 
      "image processing", 
      "emission", 
      "linearization"
    ], 
    "name": "Effect of linearization correction on statistical parametric mapping (SPM): A99mTc-HMPAO brain perfusion SPECT study in mild Alzheimer\u2019s disease", 
    "pagination": "511-517", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1015998448"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf03026814"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "17134017"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf03026814", 
      "https://app.dimensions.ai/details/publication/pub.1015998448"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T16:55", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_429.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/bf03026814"
  }
]
 

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/bf03026814'

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/bf03026814'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf03026814'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf03026814'


 

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

301 TRIPLES      21 PREDICATES      130 URIs      114 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf03026814 schema:about N0c4b5114c5dc45478ae29c085f7c07e0
2 N0fee86222efc4151bb1cfd9d837854a2
3 N25efeb38e08945f69be3bc7c1d13a7a8
4 N30bb9fc4114140cbaf000453acb52c22
5 N31ccc79741a84051ab837306cad62b53
6 N3caa7c2499a449eca9f362c2b0e77181
7 N83c6dc4a731e4ae99dccca6c15c745aa
8 N8a3710007b9d494a8ac7ee753a2ad023
9 N8e0999f5d6af4473a75a006bd1874fdd
10 N8f413d87bef14e7bbf15e5f3f8b3fa9b
11 N92ff5edd475b457780b51182d1f1a815
12 N94b1b340d338427a9ba3b69b694faad1
13 N9893e2e3153147409cc94a3a05802d9b
14 N9e55ec489d854366a7715f5369adaeba
15 Na78e2db9cea848d29cb03e7adf34b59d
16 Nca9eb3f654f2446dbd2b98738c1b8055
17 anzsrc-for:11
18 anzsrc-for:1109
19 schema:author Nb0632a45120d4e77912c51281b0acaaa
20 schema:citation sg:pub.10.1007/bf00208997
21 sg:pub.10.1007/bf00308809
22 sg:pub.10.1007/bf00868397
23 sg:pub.10.1007/bf02988596
24 sg:pub.10.1007/bf03165003
25 sg:pub.10.1007/s00259-002-0816-3
26 sg:pub.10.1007/s00259-003-1193-2
27 sg:pub.10.1007/s004010051163
28 schema:datePublished 2006-10
29 schema:datePublishedReg 2006-10-01
30 schema:description ObjectiveStatistical parametric mapping (SPM) was employed to investigate the regional decline in cerebral blood flow (rCBF) as measured by99mTc-hexamethyl propylene amine oxime (HMPAO) single photon emission computed tomography (SPECT) in mild Alzheimer’s disease (AD). However, the role of the post reconstruction image processing on the interpretation of SPM, which detects rCBF pattern, has not been precisely studied. We performed99mTc-HMPAO SPECT in mild AD patients and analyzed the effect of linearization correction for washout of the tracer on the detectability of abnormal perfusion.MethodsEleven mild AD (NINCDS-ADRDA, male/female, 5/6; mean ± SD age, 70.6 ± 6.2 years; mean ± SD mini-mental state examination score, 23.9 ± 3.41; clinical dementia rating score, 1) and eleven normal control subjects (male/female, 4/7; mean ± SD age, 66.8 ± 8.4 years) were enrolled in this study.99mTc-HMPAO SPECT was performed with a four-head rotating gamma camera. We employed linearization uncorrected (LU) and linearization corrected (LC) images for the patients and controls. The pattern of hypoperfusion in mild AD on LU and LC images was detected by SPM99 applying the same image standardization and analytical parameters. A statistical inter image-group analysis (LU vs. LC) was also performed.ResultsClear differences were observed between the interpretation of SPM with LU and LC images. Significant hypoperfusion in mild AD was found on the LU images in the left posterior cingulate gyrus, right precuneus, left hippocampus, left uncus, and left superior temporal gyrus (cluster level, corrected p < 0.005). With the LC images, significant hypoperfusion in AD was found only in the bilateral posterior cingulate gyrus and left precuneus (cluster level, corrected p < 0.005). A pattern of greater rCBF distribution at the high flow cortices and low flow cortices was observed on LC and LU images, respectively, in the case of both controls and mild AD patients.ConclusionHippocampal hypoperfusion could be detected by means of SPM in the LU images but not in the LC images. The results of SPM may vary in99mTc-HMPAO SPECT with or without linearization correction, which should be carefully evaluated when interpreting the pattern of rCBF changes in mild Alzheimer’s disease.
31 schema:genre article
32 schema:isAccessibleForFree false
33 schema:isPartOf Nb946583183ab46f4953e32460c0bf07d
34 Nef06972cf9fd473d8440bd22aec4e17a
35 sg:journal.1099601
36 schema:keywords AD patients
37 Alzheimer's disease
38 HMPAO SPECT
39 LC
40 LC images
41 Lu
42 SPECT
43 SPECT studies
44 SPM99
45 abnormal perfusion
46 amine oxime single photon emission
47 analysis
48 analytical parameters
49 bilateral posterior cingulate gyrus
50 blood flow
51 brain perfusion SPECT study
52 camera
53 cases
54 cerebral blood flow
55 changes
56 cingulate gyrus
57 control
58 control subjects
59 correction
60 cortex
61 decline
62 detectability
63 differences
64 disease
65 distribution
66 effect
67 emission
68 flow
69 four-head
70 gamma camera
71 gyrus
72 hippocampus
73 hypoperfusion
74 image processing
75 image standardization
76 images
77 interpretation
78 left posterior cingulate gyrus
79 linearization
80 linearization correction
81 mapping
82 means
83 mild AD patients
84 mild Alzheimer's disease
85 normal control subjects
86 oxime single photon emission
87 parameters
88 parametric mapping
89 patients
90 pattern of hypoperfusion
91 patterns
92 perfusion
93 photon emission
94 posterior cingulate gyrus
95 precuneus
96 processing
97 rCBF changes
98 rCBF distribution
99 rCBF patterns
100 regional decline
101 results
102 right precuneus
103 role
104 significant hypoperfusion
105 single photon emission
106 standardization
107 statistical parametric mapping
108 study
109 subjects
110 superior temporal gyrus
111 temporal gyrus
112 tomography
113 tracer
114 uncus
115 washout
116 schema:name Effect of linearization correction on statistical parametric mapping (SPM): A99mTc-HMPAO brain perfusion SPECT study in mild Alzheimer’s disease
117 schema:pagination 511-517
118 schema:productId N7dcaa5119f1b4c9e860225fc2489a692
119 N813d1aed4382405fa92f7fa1699b878a
120 Ncc762cd554cd405bab5b9f40dcccc61d
121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015998448
122 https://doi.org/10.1007/bf03026814
123 schema:sdDatePublished 2022-08-04T16:55
124 schema:sdLicense https://scigraph.springernature.com/explorer/license/
125 schema:sdPublisher Nef9d8ab2be1940278b9cb6ca57954ec2
126 schema:url https://doi.org/10.1007/bf03026814
127 sgo:license sg:explorer/license/
128 sgo:sdDataset articles
129 rdf:type schema:ScholarlyArticle
130 N0917b9025b884a87b6034fe90a12eb3e rdf:first sg:person.01275321421.76
131 rdf:rest N67f236eaa85c43b9a11030cce35af51a
132 N0c4b5114c5dc45478ae29c085f7c07e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Tomography, Emission-Computed, Single-Photon
134 rdf:type schema:DefinedTerm
135 N0fee86222efc4151bb1cfd9d837854a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Humans
137 rdf:type schema:DefinedTerm
138 N11576fb3cf504dbbb9f7452cdfe9d8d6 rdf:first sg:person.01233525032.15
139 rdf:rest N5b1a6e5af578468cbc864d8f62e63737
140 N25efeb38e08945f69be3bc7c1d13a7a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Alzheimer Disease
142 rdf:type schema:DefinedTerm
143 N2fb4a9c739fc462fa0c6c321267b92c9 rdf:first sg:person.01314200006.02
144 rdf:rest N8658342a34b9470eb2d779dab52380db
145 N30bb9fc4114140cbaf000453acb52c22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Technetium Tc 99m Exametazime
147 rdf:type schema:DefinedTerm
148 N31ccc79741a84051ab837306cad62b53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Radiography
150 rdf:type schema:DefinedTerm
151 N3caa7c2499a449eca9f362c2b0e77181 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Models, Statistical
153 rdf:type schema:DefinedTerm
154 N4b43babea2e84c5aa068ef6e48aea9ae schema:affiliation grid-institutes:grid.136593.b
155 schema:familyName Ansar
156 schema:givenName Md. Ashik B.
157 rdf:type schema:Person
158 N5b1a6e5af578468cbc864d8f62e63737 rdf:first sg:person.01165411632.96
159 rdf:rest Nc45d722bdc704657b1111890835ba70f
160 N67f236eaa85c43b9a11030cce35af51a rdf:first sg:person.01232531510.11
161 rdf:rest rdf:nil
162 N7dcaa5119f1b4c9e860225fc2489a692 schema:name dimensions_id
163 schema:value pub.1015998448
164 rdf:type schema:PropertyValue
165 N813d1aed4382405fa92f7fa1699b878a schema:name doi
166 schema:value 10.1007/bf03026814
167 rdf:type schema:PropertyValue
168 N83c6dc4a731e4ae99dccca6c15c745aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Data Interpretation, Statistical
170 rdf:type schema:DefinedTerm
171 N8658342a34b9470eb2d779dab52380db rdf:first sg:person.01207327153.52
172 rdf:rest N11576fb3cf504dbbb9f7452cdfe9d8d6
173 N8a3710007b9d494a8ac7ee753a2ad023 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Brain
175 rdf:type schema:DefinedTerm
176 N8e0999f5d6af4473a75a006bd1874fdd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Brain Mapping
178 rdf:type schema:DefinedTerm
179 N8f413d87bef14e7bbf15e5f3f8b3fa9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Cerebrovascular Circulation
181 rdf:type schema:DefinedTerm
182 N92ff5edd475b457780b51182d1f1a815 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Radiopharmaceuticals
184 rdf:type schema:DefinedTerm
185 N94b1b340d338427a9ba3b69b694faad1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Case-Control Studies
187 rdf:type schema:DefinedTerm
188 N9893e2e3153147409cc94a3a05802d9b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Aged
190 rdf:type schema:DefinedTerm
191 N9e55ec489d854366a7715f5369adaeba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name Female
193 rdf:type schema:DefinedTerm
194 Na78e2db9cea848d29cb03e7adf34b59d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Male
196 rdf:type schema:DefinedTerm
197 Nb05dca11b78f45d585809b39522d0bc3 rdf:first sg:person.01224560241.49
198 rdf:rest Ne804c42bcb704418bccc1b42eae9d307
199 Nb0632a45120d4e77912c51281b0acaaa rdf:first N4b43babea2e84c5aa068ef6e48aea9ae
200 rdf:rest N2fb4a9c739fc462fa0c6c321267b92c9
201 Nb946583183ab46f4953e32460c0bf07d schema:issueNumber 8
202 rdf:type schema:PublicationIssue
203 Nc45d722bdc704657b1111890835ba70f rdf:first sg:person.01371773333.82
204 rdf:rest Nb05dca11b78f45d585809b39522d0bc3
205 Nca9eb3f654f2446dbd2b98738c1b8055 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
206 schema:name Middle Aged
207 rdf:type schema:DefinedTerm
208 Ncc762cd554cd405bab5b9f40dcccc61d schema:name pubmed_id
209 schema:value 17134017
210 rdf:type schema:PropertyValue
211 Ne804c42bcb704418bccc1b42eae9d307 rdf:first sg:person.01274214020.76
212 rdf:rest N0917b9025b884a87b6034fe90a12eb3e
213 Nef06972cf9fd473d8440bd22aec4e17a schema:volumeNumber 20
214 rdf:type schema:PublicationVolume
215 Nef9d8ab2be1940278b9cb6ca57954ec2 schema:name Springer Nature - SN SciGraph project
216 rdf:type schema:Organization
217 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
218 schema:name Medical and Health Sciences
219 rdf:type schema:DefinedTerm
220 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
221 schema:name Neurosciences
222 rdf:type schema:DefinedTerm
223 sg:journal.1099601 schema:issn 0914-7187
224 1864-6433
225 schema:name Annals of Nuclear Medicine
226 schema:publisher Springer Nature
227 rdf:type schema:Periodical
228 sg:person.01165411632.96 schema:affiliation grid-institutes:grid.136593.b
229 schema:familyName Takasawa
230 schema:givenName Masashi
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165411632.96
232 rdf:type schema:Person
233 sg:person.01207327153.52 schema:affiliation grid-institutes:grid.136593.b
234 schema:familyName Kazui
235 schema:givenName Hiroaki
236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01207327153.52
237 rdf:type schema:Person
238 sg:person.01224560241.49 schema:affiliation grid-institutes:grid.136593.b
239 schema:familyName Begum
240 schema:givenName Nurun N.
241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224560241.49
242 rdf:type schema:Person
243 sg:person.01232531510.11 schema:affiliation grid-institutes:grid.136593.b
244 schema:familyName Hatazawa
245 schema:givenName Jun
246 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232531510.11
247 rdf:type schema:Person
248 sg:person.01233525032.15 schema:affiliation grid-institutes:grid.136593.b
249 schema:familyName Oku
250 schema:givenName Naohiko
251 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233525032.15
252 rdf:type schema:Person
253 sg:person.01274214020.76 schema:affiliation grid-institutes:grid.136593.b
254 schema:familyName Ikejiri
255 schema:givenName Yoshitaka
256 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274214020.76
257 rdf:type schema:Person
258 sg:person.01275321421.76 schema:affiliation grid-institutes:grid.136593.b
259 schema:familyName Takeda
260 schema:givenName Masatoshi
261 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275321421.76
262 rdf:type schema:Person
263 sg:person.01314200006.02 schema:affiliation grid-institutes:grid.136593.b
264 schema:familyName Osaki
265 schema:givenName Yasuhiro
266 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314200006.02
267 rdf:type schema:Person
268 sg:person.01371773333.82 schema:affiliation grid-institutes:grid.136593.b
269 schema:familyName Kimura
270 schema:givenName Yasuyuki
271 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371773333.82
272 rdf:type schema:Person
273 sg:pub.10.1007/bf00208997 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012389586
274 https://doi.org/10.1007/bf00208997
275 rdf:type schema:CreativeWork
276 sg:pub.10.1007/bf00308809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000355620
277 https://doi.org/10.1007/bf00308809
278 rdf:type schema:CreativeWork
279 sg:pub.10.1007/bf00868397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010291006
280 https://doi.org/10.1007/bf00868397
281 rdf:type schema:CreativeWork
282 sg:pub.10.1007/bf02988596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047696517
283 https://doi.org/10.1007/bf02988596
284 rdf:type schema:CreativeWork
285 sg:pub.10.1007/bf03165003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047751097
286 https://doi.org/10.1007/bf03165003
287 rdf:type schema:CreativeWork
288 sg:pub.10.1007/s00259-002-0816-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020763489
289 https://doi.org/10.1007/s00259-002-0816-3
290 rdf:type schema:CreativeWork
291 sg:pub.10.1007/s00259-003-1193-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044551882
292 https://doi.org/10.1007/s00259-003-1193-2
293 rdf:type schema:CreativeWork
294 sg:pub.10.1007/s004010051163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016015467
295 https://doi.org/10.1007/s004010051163
296 rdf:type schema:CreativeWork
297 grid-institutes:grid.136593.b schema:alternateName Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan
298 Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan
299 schema:name Department of Nuclear Medicine and Tracer Kinetics, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, 565-0871, Osaka, Japan
300 Department of Psychiatry and Behavioral Proteomics, Osaka University Graduate School of Medicine, Japan
301 rdf:type schema:Organization
 




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


...