Potential Role of CT Metrics in Chronic Obstructive Pulmonary Disease with Pulmonary Hypertension View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-12

AUTHORS

Katsutoshi Ando, Hiroshi Kuraishi, Tetsutaro Nagaoka, Takeo Tsutsumi, Yoshito Hoshika, Toru Kimura, Hiroki Ienaga, Yoshiteru Morio, Kazuhisa Takahashi

ABSTRACT

PURPOSE: Recent imaging studies demonstrated the usefulness of quantitative computed tomographic (CT) analysis assessing pulmonary hypertension (PH) in patients with chronic obstructive lung disease (COPD-PH). The aim of this study was to investigate whether it would be also valuable for predicting and evaluating the effect of pulmonary vasodilators in patients with COPD-PH. METHODS: We analyzed a correlation between the extent of cystic destruction (LAA%) and total cross-sectional areas of small pulmonary vessels less than 5 mm(2) (%CSA <5) in many CT slices from each of four COPD-PH patients before and after the initiation of pulmonary vasodilator. To evaluate those generalized data from patients with COPD, we evaluated multiple slices from 42 patients whose PH was not clinically suspicious. We also selected five PH patients with idiopathic interstitial pneumonia (IIP-PH) and analyzed serial changes of pulmonary artery enlargement (PA:A ratio). RESULTS: In 42 COPD patients without PH, LAA% had a statistically significant negative correlation with %CSA <5. However, three of four COPD-PH patients manifested no such correlation. In two patients, clinical findings were dramatically improved after the initiation of pulmonary vasodilator. Notably, LAA% and %CSA <5 in those patients correlated significantly after its treatment. In COPD-PH, the PA:A ratio was significantly decreased after the initiation of pulmonary vasodilator therapy (1.25 ± 0.13 vs. 1.13 ± 0.11, p = 0.019), but not in IIP-PH. CONCLUSIONS: Our study demonstrates that the use of quantitative CT analysis is a plausible and beneficial tool for predicting and evaluating the effect of pulmonary vasodilators in patients with COPD-PH. More... »

PAGES

911-918

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00408-015-9813-8

DOI

http://dx.doi.org/10.1007/s00408-015-9813-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038026050

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26453478


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Endothelin Receptor Antagonists", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Exercise Test", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Forced Expiratory Volume", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hypertension, Pulmonary", 
        "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": "Pulmonary Artery", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pulmonary Diffusing Capacity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pulmonary Disease, Chronic Obstructive", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pulmonary Fibrosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sildenafil Citrate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sulfonamides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tadalafil", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vasodilator Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vital Capacity", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Juntendo University", 
          "id": "https://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Division of Respiratory Medicine, Department of Internal Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, 113-8421, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ando", 
        "givenName": "Katsutoshi", 
        "id": "sg:person.01237137575.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237137575.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagano Red Cross Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416382.a", 
          "name": [
            "Department of Pulmonology, Nagano Red Cross Hospital, 5-22-1 Wakasato, 380-8582, Nagano, Nagano, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuraishi", 
        "givenName": "Hiroshi", 
        "id": "sg:person.0743253213.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743253213.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Juntendo University", 
          "id": "https://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Division of Respiratory Medicine, Department of Internal Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, 113-8421, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagaoka", 
        "givenName": "Tetsutaro", 
        "id": "sg:person.01046312511.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046312511.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Juntendo University", 
          "id": "https://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Division of Respiratory Medicine, Department of Internal Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, 113-8421, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tsutsumi", 
        "givenName": "Takeo", 
        "id": "sg:person.0705762605.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705762605.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Koshigaya Municipal Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415496.b", 
          "name": [
            "Department of Pulmonology, Koshigaya Municipal Hospital, 10-47 Higashi-koshigaya, 343-8577, Koshigaya, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hoshika", 
        "givenName": "Yoshito", 
        "id": "sg:person.01313572143.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313572143.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Koshigaya Municipal Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415496.b", 
          "name": [
            "Department of Cardiovascular Medicine, Koshigaya Municipal Hospital, 10-47 Higashi-koshigaya, 343-8577, Koshigaya, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kimura", 
        "givenName": "Toru", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Koshigaya Municipal Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415496.b", 
          "name": [
            "Department of Pulmonology, Koshigaya Municipal Hospital, 10-47 Higashi-koshigaya, 343-8577, Koshigaya, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ienaga", 
        "givenName": "Hiroki", 
        "id": "sg:person.01352626160.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352626160.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Juntendo University", 
          "id": "https://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Division of Respiratory Medicine, Department of Internal Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, 113-8421, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morio", 
        "givenName": "Yoshiteru", 
        "id": "sg:person.01144322251.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144322251.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Juntendo University", 
          "id": "https://www.grid.ac/institutes/grid.258269.2", 
          "name": [
            "Division of Respiratory Medicine, Department of Internal Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, 113-8421, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takahashi", 
        "givenName": "Kazuhisa", 
        "id": "sg:person.01356650152.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356650152.42"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1183/09031936.00139009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005981030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.200908-1189oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009364012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/ajrccm.164.2.2006129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014424019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1203830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015794733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1465-9921-14-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017721711", 
          "https://doi.org/10.1186/1465-9921-14-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.200907-0988oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023506600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.healun.2012.11.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024022352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/09031936.00011308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025572413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.201408-1423oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025621089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1183/09031936.00114207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034129479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.201401-0037oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035466661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2012.05.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036029225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.200210-1233oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047826659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.200707-980oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050786182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00408-013-9513-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051477404", 
          "https://doi.org/10.1007/s00408-013-9513-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076971638", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1465-9921-14-s1-s2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078738934", 
          "https://doi.org/10.1186/1465-9921-14-s1-s2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12", 
    "datePublishedReg": "2015-12-01", 
    "description": "PURPOSE: Recent imaging studies demonstrated the usefulness of quantitative computed tomographic (CT) analysis assessing pulmonary hypertension (PH) in patients with chronic obstructive lung disease (COPD-PH). The aim of this study was to investigate whether it would be also valuable for predicting and evaluating the effect of pulmonary vasodilators in patients with COPD-PH.\nMETHODS: We analyzed a correlation between the extent of cystic destruction (LAA%) and total cross-sectional areas of small pulmonary vessels less than 5\u00a0mm(2) (%CSA <5) in many CT slices from each of four COPD-PH patients before and after the initiation of pulmonary vasodilator. To evaluate those generalized data from patients with COPD, we evaluated multiple slices from 42 patients whose PH was not clinically suspicious. We also selected five PH patients with idiopathic interstitial pneumonia (IIP-PH) and analyzed serial changes of pulmonary artery enlargement (PA:A ratio).\nRESULTS: In 42 COPD patients without PH, LAA% had a statistically significant negative correlation with %CSA <5. However, three of four COPD-PH patients manifested no such correlation. In two patients, clinical findings were dramatically improved after the initiation of pulmonary vasodilator. Notably, LAA% and %CSA <5 in those patients correlated significantly after its treatment. In COPD-PH, the PA:A ratio was significantly decreased after the initiation of pulmonary vasodilator therapy (1.25\u00a0\u00b1\u00a00.13 vs. 1.13\u00a0\u00b1\u00a00.11, p\u00a0=\u00a00.019), but not in IIP-PH.\nCONCLUSIONS: Our study demonstrates that the use of quantitative CT analysis is a plausible and beneficial tool for predicting and evaluating the effect of pulmonary vasodilators in patients with COPD-PH.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00408-015-9813-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1054004", 
        "issn": [
          "0341-2040", 
          "1432-1750"
        ], 
        "name": "Lung", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "193"
      }
    ], 
    "name": "Potential Role of CT Metrics in Chronic Obstructive Pulmonary Disease with Pulmonary Hypertension", 
    "pagination": "911-918", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b5249f6e319a2a97e57313bd1424c60c52bfd003fc21b96199064ed0eec4444b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26453478"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7701875"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00408-015-9813-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038026050"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00408-015-9813-8", 
      "https://app.dimensions.ai/details/publication/pub.1038026050"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:56", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000533.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00408-015-9813-8"
  }
]
 

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/s00408-015-9813-8'

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/s00408-015-9813-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00408-015-9813-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00408-015-9813-8'


 

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

260 TRIPLES      21 PREDICATES      65 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00408-015-9813-8 schema:about N0b72e9f2d0dc44dc947cef731b95280d
2 N1bbbe543053b458d8269049d7fff7968
3 N238126afc8e64a4db7784b9f6ffe2766
4 N2837357a5a9748f39608a7777a5adfc5
5 N30b3918daf7a4fb59468366ab8353fba
6 N46961fd0c06f4ad28ed7ac0f9c4a0a5b
7 N5401b3f34d0c4c7bad0525c1f7e18985
8 N61f0adc76c8948b2bfb6aeb9758629fc
9 N69a9f282c1564b51bd1423a0d7b047b3
10 N6e445e3972904060a0fc2fab3bf5adea
11 N8f93219903aa45a0a1253305a1f3b8b5
12 N9775558f8478472792da2088a73e1874
13 N99e94de49a1c46ec80fcd9f52dbd1cf2
14 Nb1001dfeb9cd4e7dbebbfd82ac3e5604
15 Nc997675956074a0f9aa464d7cadb2972
16 Ncfa3e4717b8748a4b34290a732d977de
17 Ndb2511476dab4b04b8798c8bc0288e0d
18 Ne641e4cf399f472c84c49aabc7a6bd2a
19 Nf3f8ba94476649849cb20a2184dffe48
20 anzsrc-for:11
21 anzsrc-for:1102
22 schema:author N01534cccb10e4a19a250b8ed27ceeb6b
23 schema:citation sg:pub.10.1007/s00408-013-9513-1
24 sg:pub.10.1186/1465-9921-14-2
25 sg:pub.10.1186/1465-9921-14-s1-s2
26 https://app.dimensions.ai/details/publication/pub.1076971638
27 https://doi.org/10.1016/j.ejrad.2012.05.033
28 https://doi.org/10.1016/j.healun.2012.11.014
29 https://doi.org/10.1056/nejmoa1203830
30 https://doi.org/10.1164/ajrccm.164.2.2006129
31 https://doi.org/10.1164/rccm.200210-1233oc
32 https://doi.org/10.1164/rccm.200707-980oc
33 https://doi.org/10.1164/rccm.200907-0988oc
34 https://doi.org/10.1164/rccm.200908-1189oc
35 https://doi.org/10.1164/rccm.201401-0037oc
36 https://doi.org/10.1164/rccm.201408-1423oc
37 https://doi.org/10.1183/09031936.00011308
38 https://doi.org/10.1183/09031936.00114207
39 https://doi.org/10.1183/09031936.00139009
40 schema:datePublished 2015-12
41 schema:datePublishedReg 2015-12-01
42 schema:description PURPOSE: Recent imaging studies demonstrated the usefulness of quantitative computed tomographic (CT) analysis assessing pulmonary hypertension (PH) in patients with chronic obstructive lung disease (COPD-PH). The aim of this study was to investigate whether it would be also valuable for predicting and evaluating the effect of pulmonary vasodilators in patients with COPD-PH. METHODS: We analyzed a correlation between the extent of cystic destruction (LAA%) and total cross-sectional areas of small pulmonary vessels less than 5 mm(2) (%CSA <5) in many CT slices from each of four COPD-PH patients before and after the initiation of pulmonary vasodilator. To evaluate those generalized data from patients with COPD, we evaluated multiple slices from 42 patients whose PH was not clinically suspicious. We also selected five PH patients with idiopathic interstitial pneumonia (IIP-PH) and analyzed serial changes of pulmonary artery enlargement (PA:A ratio). RESULTS: In 42 COPD patients without PH, LAA% had a statistically significant negative correlation with %CSA <5. However, three of four COPD-PH patients manifested no such correlation. In two patients, clinical findings were dramatically improved after the initiation of pulmonary vasodilator. Notably, LAA% and %CSA <5 in those patients correlated significantly after its treatment. In COPD-PH, the PA:A ratio was significantly decreased after the initiation of pulmonary vasodilator therapy (1.25 ± 0.13 vs. 1.13 ± 0.11, p = 0.019), but not in IIP-PH. CONCLUSIONS: Our study demonstrates that the use of quantitative CT analysis is a plausible and beneficial tool for predicting and evaluating the effect of pulmonary vasodilators in patients with COPD-PH.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree false
46 schema:isPartOf N49ed5dfa73d64f75b4dd0f03bf9f8460
47 Nc343f764b7af4b9fa07ad9b1c25b4781
48 sg:journal.1054004
49 schema:name Potential Role of CT Metrics in Chronic Obstructive Pulmonary Disease with Pulmonary Hypertension
50 schema:pagination 911-918
51 schema:productId N0857852aa5894583bbfe38604f848668
52 N199f16d6c77d41fd8ec41eb063900244
53 N54d6b510e3a048979e13d0b7c443c5ca
54 N970d2c35cbf644c19f69bf7866f61afc
55 Na7a3cff1eafe4d39936f8c20541057e8
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038026050
57 https://doi.org/10.1007/s00408-015-9813-8
58 schema:sdDatePublished 2019-04-10T15:56
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher Nec48b970c3864530adfe08cba0f492f5
61 schema:url http://link.springer.com/10.1007%2Fs00408-015-9813-8
62 sgo:license sg:explorer/license/
63 sgo:sdDataset articles
64 rdf:type schema:ScholarlyArticle
65 N01534cccb10e4a19a250b8ed27ceeb6b rdf:first sg:person.01237137575.29
66 rdf:rest N98abe1a77f04427bbffa73fa619caa8d
67 N0857852aa5894583bbfe38604f848668 schema:name dimensions_id
68 schema:value pub.1038026050
69 rdf:type schema:PropertyValue
70 N0b72e9f2d0dc44dc947cef731b95280d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Male
72 rdf:type schema:DefinedTerm
73 N16553c008756454b9c8bbb7bc94ae58a rdf:first sg:person.01356650152.42
74 rdf:rest rdf:nil
75 N199f16d6c77d41fd8ec41eb063900244 schema:name readcube_id
76 schema:value b5249f6e319a2a97e57313bd1424c60c52bfd003fc21b96199064ed0eec4444b
77 rdf:type schema:PropertyValue
78 N1bbbe543053b458d8269049d7fff7968 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Pulmonary Fibrosis
80 rdf:type schema:DefinedTerm
81 N1e61fb2ff22647c0bda56e514a482984 rdf:first sg:person.01313572143.72
82 rdf:rest Ne9003a7bf52b4292ada0c22ce42f2cad
83 N238126afc8e64a4db7784b9f6ffe2766 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Pulmonary Artery
85 rdf:type schema:DefinedTerm
86 N23bbe90a175c4ec19fd2cb49ee80e297 schema:affiliation https://www.grid.ac/institutes/grid.415496.b
87 schema:familyName Kimura
88 schema:givenName Toru
89 rdf:type schema:Person
90 N261b047abb0b4c6380ba6df74f7a6931 rdf:first sg:person.01352626160.00
91 rdf:rest N5684b5fd4a4f4c1faa40443ac28fb51a
92 N2837357a5a9748f39608a7777a5adfc5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Endothelin Receptor Antagonists
94 rdf:type schema:DefinedTerm
95 N30b3918daf7a4fb59468366ab8353fba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Vital Capacity
97 rdf:type schema:DefinedTerm
98 N46961fd0c06f4ad28ed7ac0f9c4a0a5b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Female
100 rdf:type schema:DefinedTerm
101 N49ed5dfa73d64f75b4dd0f03bf9f8460 schema:issueNumber 6
102 rdf:type schema:PublicationIssue
103 N5401b3f34d0c4c7bad0525c1f7e18985 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Pulmonary Diffusing Capacity
105 rdf:type schema:DefinedTerm
106 N54d6b510e3a048979e13d0b7c443c5ca schema:name doi
107 schema:value 10.1007/s00408-015-9813-8
108 rdf:type schema:PropertyValue
109 N5684b5fd4a4f4c1faa40443ac28fb51a rdf:first sg:person.01144322251.48
110 rdf:rest N16553c008756454b9c8bbb7bc94ae58a
111 N61f0adc76c8948b2bfb6aeb9758629fc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Humans
113 rdf:type schema:DefinedTerm
114 N69a9f282c1564b51bd1423a0d7b047b3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Exercise Test
116 rdf:type schema:DefinedTerm
117 N6e445e3972904060a0fc2fab3bf5adea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Hypertension, Pulmonary
119 rdf:type schema:DefinedTerm
120 N8f93219903aa45a0a1253305a1f3b8b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Sildenafil Citrate
122 rdf:type schema:DefinedTerm
123 N970d2c35cbf644c19f69bf7866f61afc schema:name pubmed_id
124 schema:value 26453478
125 rdf:type schema:PropertyValue
126 N9775558f8478472792da2088a73e1874 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Vasodilator Agents
128 rdf:type schema:DefinedTerm
129 N98abe1a77f04427bbffa73fa619caa8d rdf:first sg:person.0743253213.24
130 rdf:rest Naabadcf8ca024e8880f90141ec6a6dda
131 N99e94de49a1c46ec80fcd9f52dbd1cf2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Middle Aged
133 rdf:type schema:DefinedTerm
134 Na7a3cff1eafe4d39936f8c20541057e8 schema:name nlm_unique_id
135 schema:value 7701875
136 rdf:type schema:PropertyValue
137 Naabadcf8ca024e8880f90141ec6a6dda rdf:first sg:person.01046312511.73
138 rdf:rest Nc682c9143ea14fd5aa0ceacb17b71d46
139 Nb1001dfeb9cd4e7dbebbfd82ac3e5604 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Tomography, X-Ray Computed
141 rdf:type schema:DefinedTerm
142 Nc343f764b7af4b9fa07ad9b1c25b4781 schema:volumeNumber 193
143 rdf:type schema:PublicationVolume
144 Nc682c9143ea14fd5aa0ceacb17b71d46 rdf:first sg:person.0705762605.10
145 rdf:rest N1e61fb2ff22647c0bda56e514a482984
146 Nc997675956074a0f9aa464d7cadb2972 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Tadalafil
148 rdf:type schema:DefinedTerm
149 Ncfa3e4717b8748a4b34290a732d977de schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Aged
151 rdf:type schema:DefinedTerm
152 Ndb2511476dab4b04b8798c8bc0288e0d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Pulmonary Disease, Chronic Obstructive
154 rdf:type schema:DefinedTerm
155 Ne641e4cf399f472c84c49aabc7a6bd2a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Sulfonamides
157 rdf:type schema:DefinedTerm
158 Ne9003a7bf52b4292ada0c22ce42f2cad rdf:first N23bbe90a175c4ec19fd2cb49ee80e297
159 rdf:rest N261b047abb0b4c6380ba6df74f7a6931
160 Nec48b970c3864530adfe08cba0f492f5 schema:name Springer Nature - SN SciGraph project
161 rdf:type schema:Organization
162 Nf3f8ba94476649849cb20a2184dffe48 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Forced Expiratory Volume
164 rdf:type schema:DefinedTerm
165 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
166 schema:name Medical and Health Sciences
167 rdf:type schema:DefinedTerm
168 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
169 schema:name Cardiorespiratory Medicine and Haematology
170 rdf:type schema:DefinedTerm
171 sg:journal.1054004 schema:issn 0341-2040
172 1432-1750
173 schema:name Lung
174 rdf:type schema:Periodical
175 sg:person.01046312511.73 schema:affiliation https://www.grid.ac/institutes/grid.258269.2
176 schema:familyName Nagaoka
177 schema:givenName Tetsutaro
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046312511.73
179 rdf:type schema:Person
180 sg:person.01144322251.48 schema:affiliation https://www.grid.ac/institutes/grid.258269.2
181 schema:familyName Morio
182 schema:givenName Yoshiteru
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144322251.48
184 rdf:type schema:Person
185 sg:person.01237137575.29 schema:affiliation https://www.grid.ac/institutes/grid.258269.2
186 schema:familyName Ando
187 schema:givenName Katsutoshi
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237137575.29
189 rdf:type schema:Person
190 sg:person.01313572143.72 schema:affiliation https://www.grid.ac/institutes/grid.415496.b
191 schema:familyName Hoshika
192 schema:givenName Yoshito
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313572143.72
194 rdf:type schema:Person
195 sg:person.01352626160.00 schema:affiliation https://www.grid.ac/institutes/grid.415496.b
196 schema:familyName Ienaga
197 schema:givenName Hiroki
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352626160.00
199 rdf:type schema:Person
200 sg:person.01356650152.42 schema:affiliation https://www.grid.ac/institutes/grid.258269.2
201 schema:familyName Takahashi
202 schema:givenName Kazuhisa
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01356650152.42
204 rdf:type schema:Person
205 sg:person.0705762605.10 schema:affiliation https://www.grid.ac/institutes/grid.258269.2
206 schema:familyName Tsutsumi
207 schema:givenName Takeo
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705762605.10
209 rdf:type schema:Person
210 sg:person.0743253213.24 schema:affiliation https://www.grid.ac/institutes/grid.416382.a
211 schema:familyName Kuraishi
212 schema:givenName Hiroshi
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743253213.24
214 rdf:type schema:Person
215 sg:pub.10.1007/s00408-013-9513-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051477404
216 https://doi.org/10.1007/s00408-013-9513-1
217 rdf:type schema:CreativeWork
218 sg:pub.10.1186/1465-9921-14-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017721711
219 https://doi.org/10.1186/1465-9921-14-2
220 rdf:type schema:CreativeWork
221 sg:pub.10.1186/1465-9921-14-s1-s2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078738934
222 https://doi.org/10.1186/1465-9921-14-s1-s2
223 rdf:type schema:CreativeWork
224 https://app.dimensions.ai/details/publication/pub.1076971638 schema:CreativeWork
225 https://doi.org/10.1016/j.ejrad.2012.05.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036029225
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.healun.2012.11.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024022352
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1056/nejmoa1203830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015794733
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1164/ajrccm.164.2.2006129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014424019
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1164/rccm.200210-1233oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1047826659
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1164/rccm.200707-980oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1050786182
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1164/rccm.200907-0988oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1023506600
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1164/rccm.200908-1189oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1009364012
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1164/rccm.201401-0037oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1035466661
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1164/rccm.201408-1423oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1025621089
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1183/09031936.00011308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025572413
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1183/09031936.00114207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034129479
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1183/09031936.00139009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005981030
250 rdf:type schema:CreativeWork
251 https://www.grid.ac/institutes/grid.258269.2 schema:alternateName Juntendo University
252 schema:name Division of Respiratory Medicine, Department of Internal Medicine, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo-Ku, 113-8421, Tokyo, Japan
253 rdf:type schema:Organization
254 https://www.grid.ac/institutes/grid.415496.b schema:alternateName Koshigaya Municipal Hospital
255 schema:name Department of Cardiovascular Medicine, Koshigaya Municipal Hospital, 10-47 Higashi-koshigaya, 343-8577, Koshigaya, Saitama, Japan
256 Department of Pulmonology, Koshigaya Municipal Hospital, 10-47 Higashi-koshigaya, 343-8577, Koshigaya, Saitama, Japan
257 rdf:type schema:Organization
258 https://www.grid.ac/institutes/grid.416382.a schema:alternateName Nagano Red Cross Hospital
259 schema:name Department of Pulmonology, Nagano Red Cross Hospital, 5-22-1 Wakasato, 380-8582, Nagano, Nagano, Japan
260 rdf:type schema:Organization
 




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


...