Evaluation of atrial septal defects with 4D flow MRI—multilevel and inter-reader reproducibility for quantification of shunt severity View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-04

AUTHORS

Raluca G. Chelu, Michael Horowitz, Dominica Sucha, Isabella Kardys, Delphine Ingremeau, Shreyas Vasanawala, Koen Nieman, Jean-Francois Paul, Albert Hsiao

ABSTRACT

PURPOSE: With the hypothesis that 4D flow can be used in evaluation of cardiac shunts, we seek to evaluate the multilevel and interreader reproducibility of measurements of the blood flow, shunt fraction and shunt volume in patients with atrial septum defect (ASD) in practice at multiple clinical sites. MATERIALS AND METHODS: Four-dimensional flow MRI examinations were performed at four institutions across Europe and the US. Twenty-nine patients (mean age, 43 years; 11 male) were included in the study. Flow measurements were performed at three levels (valve, main artery and periphery) in both the pulmonary and systemic circulation by two independent readers and compared against stroke volumes from 4D flow anatomic data. Further, the shunt ratio (Qp/Qs) was calculated. Additionally, shunt volume was quantified at the atrial level by tracking the atrial septum. RESULTS: Measurements of the pulmonary blood flow at multiple levels correlate well whether measuring at the valve, main pulmonary artery or branch pulmonary arteries (r = 0.885-0.886). Measurements of the systemic blood flow show excellent correlation, whether measuring at the valve, ascending aorta or sum of flow from the superior vena cava (SVC) and descending aorta (r = 0.974-0.991). Intraclass agreement between the two observers for the flow measurements varies between 0.96 and 0.99. Compared with stroke volume, pulmonic flow is underestimated with 0.26 l/min at the main pulmonary artery level, and systemic flow is overestimated with 0.16 l/min at the ascending aorta level. Direct measurements of ASD flow are feasible in 20 of 29 (69%) patients. CONCLUSION: Blood flow and shunt quantification measured at multiple levels and performed by different readers are reproducible and consistent with 4D flow MRI. More... »

PAGES

269-279

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10334-018-0702-z

DOI

http://dx.doi.org/10.1007/s10334-018-0702-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106466440

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30171383


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Radiology, Erasmus MC, \u2018s Gravendijkwal 230, Ca207a, 3015 CE, Rotterdam, The Netherlands", 
            "Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chelu", 
        "givenName": "Raluca G.", 
        "id": "sg:person.01257750636.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257750636.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Diego", 
          "id": "https://www.grid.ac/institutes/grid.266100.3", 
          "name": [
            "Department of Radiology, UCSD, San Diego, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Horowitz", 
        "givenName": "Michael", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Medical Center Utrecht", 
          "id": "https://www.grid.ac/institutes/grid.7692.a", 
          "name": [
            "Department of Radiology, UMC, Utrecht, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sucha", 
        "givenName": "Dominica", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Erasmus University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5645.2", 
          "name": [
            "Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kardys", 
        "givenName": "Isabella", 
        "id": "sg:person.0652473172.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652473172.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute Mutualiste Montsouris", 
          "id": "https://www.grid.ac/institutes/grid.418120.e", 
          "name": [
            "Department of Radiology, Institut Mutualiste Montsouris, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ingremeau", 
        "givenName": "Delphine", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Stanford Medicine", 
          "id": "https://www.grid.ac/institutes/grid.240952.8", 
          "name": [
            "Department of Radiology, Stanford Medical Center, Palo Alto, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vasanawala", 
        "givenName": "Shreyas", 
        "id": "sg:person.0645560304.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645560304.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Stanford Medicine", 
          "id": "https://www.grid.ac/institutes/grid.240952.8", 
          "name": [
            "Department of Radiology, Erasmus MC, \u2018s Gravendijkwal 230, Ca207a, 3015 CE, Rotterdam, The Netherlands", 
            "Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands", 
            "Department of Radiology, Stanford Medical Center, Palo Alto, CA, USA", 
            "Department of Cardiology, Stanford Medical Center, Palo Alto, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nieman", 
        "givenName": "Koen", 
        "id": "sg:person.01151674474.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151674474.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute Mutualiste Montsouris", 
          "id": "https://www.grid.ac/institutes/grid.418120.e", 
          "name": [
            "Department of Radiology, Institut Mutualiste Montsouris, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paul", 
        "givenName": "Jean-Francois", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, San Diego", 
          "id": "https://www.grid.ac/institutes/grid.266100.3", 
          "name": [
            "Department of Radiology, UCSD, San Diego, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hsiao", 
        "givenName": "Albert", 
        "id": "sg:person.0645152177.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645152177.66"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/mrm.21778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000785203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-016-4407-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007442282", 
          "https://doi.org/10.1007/s00330-016-4407-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.108.190690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011236648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehq249", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013716686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehq249", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013716686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-010-1932-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014821208", 
          "https://doi.org/10.1007/s00247-010-1932-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2016.07.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018524410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2016.07.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018524410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1522-2586(199911)10:5<656::aid-jmri8>3.0.co;2-f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020667518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.24959", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027794682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.23936", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028804785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12880-015-0061-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031245107", 
          "https://doi.org/10.1186/s12880-015-0061-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12880-015-0061-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031245107", 
          "https://doi.org/10.1186/s12880-015-0061-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.24856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033545109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.24856", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033545109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.22051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035716008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.22051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035716008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/heartjnl-2013-304225", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035776049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.24928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036975422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.26557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039457025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-008-0977-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040103538", 
          "https://doi.org/10.1007/s00247-008-0977-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-008-0977-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040103538", 
          "https://doi.org/10.1007/s00247-008-0977-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.25180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041972659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000087603.97036.c2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042187254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circimaging.113.000528", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045087527"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circimaging.113.000528", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045087527"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circimaging.108.769786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047009063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circimaging.108.769786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047009063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.22519", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047276481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.acra.2014.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049812666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.acra.2014.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049812666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2011.08.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050741807"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2011.08.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050741807"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00246-010-9782-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052824859", 
          "https://doi.org/10.1007/s00246-010-9782-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00246-010-9782-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052824859", 
          "https://doi.org/10.1007/s00246-010-9782-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0195-668x(02)00383-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054625208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.11.6969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069301826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0218492317694248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083739118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0218492317694248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083739118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-018-0432-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101304972", 
          "https://doi.org/10.1186/s12968-018-0432-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-018-0432-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101304972", 
          "https://doi.org/10.1186/s12968-018-0432-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-018-0432-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101304972", 
          "https://doi.org/10.1186/s12968-018-0432-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-018-0432-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101304972", 
          "https://doi.org/10.1186/s12968-018-0432-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-018-0432-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101304972", 
          "https://doi.org/10.1186/s12968-018-0432-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "PURPOSE: With the hypothesis that 4D flow can be used in evaluation of cardiac shunts, we seek to evaluate the multilevel and interreader reproducibility of measurements of the blood flow, shunt fraction and shunt volume in patients with atrial septum defect (ASD) in practice at multiple clinical sites.\nMATERIALS AND METHODS: Four-dimensional flow MRI examinations were performed at four institutions across Europe and the US. Twenty-nine patients (mean age, 43\u00a0years; 11 male) were included in the study. Flow measurements were performed at three levels (valve, main artery and periphery) in both the pulmonary and systemic circulation by two independent readers and compared against stroke volumes from 4D flow anatomic data. Further, the shunt ratio (Qp/Qs) was calculated. Additionally, shunt volume was quantified at the atrial level by tracking the atrial septum.\nRESULTS: Measurements of the pulmonary blood flow at multiple levels correlate well whether measuring at the valve, main pulmonary artery or branch pulmonary arteries (r\u2009=\u20090.885-0.886). Measurements of the systemic blood flow show excellent correlation, whether measuring at the valve, ascending aorta or sum of flow from the superior vena cava (SVC) and descending aorta (r\u2009=\u20090.974-0.991). Intraclass agreement between the two observers for the flow measurements varies between 0.96 and 0.99. Compared with stroke volume, pulmonic flow is underestimated with 0.26\u00a0l/min at the main pulmonary artery level, and systemic flow is overestimated with 0.16\u00a0l/min at the ascending aorta level. Direct measurements of ASD flow are feasible in 20 of 29 (69%) patients.\nCONCLUSION: Blood flow and shunt quantification measured at multiple levels and performed by different readers are reproducible and consistent with 4D flow MRI.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10334-018-0702-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1104145", 
        "issn": [
          "0968-5243", 
          "1352-8661"
        ], 
        "name": "Magnetic Resonance Materials in Physics, Biology and Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "32"
      }
    ], 
    "name": "Evaluation of atrial septal defects with 4D flow MRI\u2014multilevel and inter-reader reproducibility for quantification of shunt severity", 
    "pagination": "269-279", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10334-018-0702-z"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "04f0b5075f59eff781354b157a43b1e34141cb08f0834d3b6f99837c25cc3d05"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1106466440"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9310752"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30171383"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10334-018-0702-z", 
      "https://app.dimensions.ai/details/publication/pub.1106466440"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:01", 
    "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/v90/0000000375_0000000375/records_91447_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10334-018-0702-z"
  }
]
 

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/s10334-018-0702-z'

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/s10334-018-0702-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10334-018-0702-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10334-018-0702-z'


 

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

228 TRIPLES      21 PREDICATES      57 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10334-018-0702-z schema:about anzsrc-for:11
2 anzsrc-for:1102
3 schema:author Nd210a86d944046fd8addc194d923bb97
4 schema:citation sg:pub.10.1007/s00246-010-9782-x
5 sg:pub.10.1007/s00247-008-0977-8
6 sg:pub.10.1007/s00247-010-1932-z
7 sg:pub.10.1007/s00330-016-4407-2
8 sg:pub.10.1186/s12880-015-0061-4
9 sg:pub.10.1186/s12968-018-0432-4
10 https://doi.org/10.1002/(sici)1522-2586(199911)10:5<656::aid-jmri8>3.0.co;2-f
11 https://doi.org/10.1002/jmri.22519
12 https://doi.org/10.1002/jmri.23936
13 https://doi.org/10.1002/jmri.24856
14 https://doi.org/10.1002/jmri.24928
15 https://doi.org/10.1002/jmri.24959
16 https://doi.org/10.1002/jmri.25180
17 https://doi.org/10.1002/mrm.21778
18 https://doi.org/10.1002/mrm.22051
19 https://doi.org/10.1002/mrm.26557
20 https://doi.org/10.1016/j.acra.2014.04.012
21 https://doi.org/10.1016/j.ejrad.2016.07.018
22 https://doi.org/10.1016/j.jacc.2011.08.025
23 https://doi.org/10.1016/s0195-668x(02)00383-4
24 https://doi.org/10.1093/eurheartj/ehq249
25 https://doi.org/10.1136/heartjnl-2013-304225
26 https://doi.org/10.1161/01.cir.0000087603.97036.c2
27 https://doi.org/10.1161/circimaging.108.769786
28 https://doi.org/10.1161/circimaging.113.000528
29 https://doi.org/10.1161/circulationaha.108.190690
30 https://doi.org/10.1177/0218492317694248
31 https://doi.org/10.2214/ajr.11.6969
32 schema:datePublished 2019-04
33 schema:datePublishedReg 2019-04-01
34 schema:description PURPOSE: With the hypothesis that 4D flow can be used in evaluation of cardiac shunts, we seek to evaluate the multilevel and interreader reproducibility of measurements of the blood flow, shunt fraction and shunt volume in patients with atrial septum defect (ASD) in practice at multiple clinical sites. MATERIALS AND METHODS: Four-dimensional flow MRI examinations were performed at four institutions across Europe and the US. Twenty-nine patients (mean age, 43 years; 11 male) were included in the study. Flow measurements were performed at three levels (valve, main artery and periphery) in both the pulmonary and systemic circulation by two independent readers and compared against stroke volumes from 4D flow anatomic data. Further, the shunt ratio (Qp/Qs) was calculated. Additionally, shunt volume was quantified at the atrial level by tracking the atrial septum. RESULTS: Measurements of the pulmonary blood flow at multiple levels correlate well whether measuring at the valve, main pulmonary artery or branch pulmonary arteries (r = 0.885-0.886). Measurements of the systemic blood flow show excellent correlation, whether measuring at the valve, ascending aorta or sum of flow from the superior vena cava (SVC) and descending aorta (r = 0.974-0.991). Intraclass agreement between the two observers for the flow measurements varies between 0.96 and 0.99. Compared with stroke volume, pulmonic flow is underestimated with 0.26 l/min at the main pulmonary artery level, and systemic flow is overestimated with 0.16 l/min at the ascending aorta level. Direct measurements of ASD flow are feasible in 20 of 29 (69%) patients. CONCLUSION: Blood flow and shunt quantification measured at multiple levels and performed by different readers are reproducible and consistent with 4D flow MRI.
35 schema:genre research_article
36 schema:inLanguage en
37 schema:isAccessibleForFree true
38 schema:isPartOf N52748c50d5814c0e8b97c368c4b99744
39 Neb2c60a89fcc4a58bcb9d865c33d531c
40 sg:journal.1104145
41 schema:name Evaluation of atrial septal defects with 4D flow MRI—multilevel and inter-reader reproducibility for quantification of shunt severity
42 schema:pagination 269-279
43 schema:productId N4bc80d9e50a5484b8a027d041b404b01
44 N50f17c60c38f47cc9bc848e886ac5d09
45 N7aed065fbc3642b48d0f4d474a694665
46 N90c6d71169e34c8698cfe6534ba08fa2
47 Nbccc58a2f3a94dafbf709915bada06ae
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106466440
49 https://doi.org/10.1007/s10334-018-0702-z
50 schema:sdDatePublished 2019-04-15T09:01
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N396fa754970644f09ed285f03b33e020
53 schema:url https://link.springer.com/10.1007%2Fs10334-018-0702-z
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N1f5cdd02eec84c4490b183087bcdb3cc schema:affiliation https://www.grid.ac/institutes/grid.7692.a
58 schema:familyName Sucha
59 schema:givenName Dominica
60 rdf:type schema:Person
61 N2b35a1ed11124549a33fd30d8023999c rdf:first Nbce0d2597ea4445dbd5a0011d46bb8fa
62 rdf:rest Ncdc47239586247f9b0d16fccb66b4cd4
63 N396fa754970644f09ed285f03b33e020 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N3dd38c3d2fbc4932ab25116da556c03f rdf:first sg:person.01151674474.68
66 rdf:rest Nc5658ff9192e4e538ea83be6a938364c
67 N4bc80d9e50a5484b8a027d041b404b01 schema:name doi
68 schema:value 10.1007/s10334-018-0702-z
69 rdf:type schema:PropertyValue
70 N50f17c60c38f47cc9bc848e886ac5d09 schema:name readcube_id
71 schema:value 04f0b5075f59eff781354b157a43b1e34141cb08f0834d3b6f99837c25cc3d05
72 rdf:type schema:PropertyValue
73 N52748c50d5814c0e8b97c368c4b99744 schema:issueNumber 2
74 rdf:type schema:PublicationIssue
75 N586f89600b72484a9037eb3d861b0c21 rdf:first sg:person.0652473172.64
76 rdf:rest N2b35a1ed11124549a33fd30d8023999c
77 N6480b85a2e454d39b3a30c31fec425fa schema:affiliation https://www.grid.ac/institutes/grid.418120.e
78 schema:familyName Paul
79 schema:givenName Jean-Francois
80 rdf:type schema:Person
81 N7aed065fbc3642b48d0f4d474a694665 schema:name nlm_unique_id
82 schema:value 9310752
83 rdf:type schema:PropertyValue
84 N90c6d71169e34c8698cfe6534ba08fa2 schema:name dimensions_id
85 schema:value pub.1106466440
86 rdf:type schema:PropertyValue
87 Na23472a95f00411fb26df78b80112336 schema:affiliation https://www.grid.ac/institutes/grid.266100.3
88 schema:familyName Horowitz
89 schema:givenName Michael
90 rdf:type schema:Person
91 Na492b4a0837f41ab937361af8c2a19a2 rdf:first Na23472a95f00411fb26df78b80112336
92 rdf:rest Nb8be3f677d4945599dd04edc16b107f0
93 Nb8be3f677d4945599dd04edc16b107f0 rdf:first N1f5cdd02eec84c4490b183087bcdb3cc
94 rdf:rest N586f89600b72484a9037eb3d861b0c21
95 Nbccc58a2f3a94dafbf709915bada06ae schema:name pubmed_id
96 schema:value 30171383
97 rdf:type schema:PropertyValue
98 Nbce0d2597ea4445dbd5a0011d46bb8fa schema:affiliation https://www.grid.ac/institutes/grid.418120.e
99 schema:familyName Ingremeau
100 schema:givenName Delphine
101 rdf:type schema:Person
102 Nc5658ff9192e4e538ea83be6a938364c rdf:first N6480b85a2e454d39b3a30c31fec425fa
103 rdf:rest Nfdd2d8ee22734f31b86608443bec7108
104 Ncdc47239586247f9b0d16fccb66b4cd4 rdf:first sg:person.0645560304.68
105 rdf:rest N3dd38c3d2fbc4932ab25116da556c03f
106 Nd210a86d944046fd8addc194d923bb97 rdf:first sg:person.01257750636.14
107 rdf:rest Na492b4a0837f41ab937361af8c2a19a2
108 Neb2c60a89fcc4a58bcb9d865c33d531c schema:volumeNumber 32
109 rdf:type schema:PublicationVolume
110 Nfdd2d8ee22734f31b86608443bec7108 rdf:first sg:person.0645152177.66
111 rdf:rest rdf:nil
112 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
113 schema:name Medical and Health Sciences
114 rdf:type schema:DefinedTerm
115 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
116 schema:name Cardiorespiratory Medicine and Haematology
117 rdf:type schema:DefinedTerm
118 sg:journal.1104145 schema:issn 0968-5243
119 1352-8661
120 schema:name Magnetic Resonance Materials in Physics, Biology and Medicine
121 rdf:type schema:Periodical
122 sg:person.01151674474.68 schema:affiliation https://www.grid.ac/institutes/grid.240952.8
123 schema:familyName Nieman
124 schema:givenName Koen
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151674474.68
126 rdf:type schema:Person
127 sg:person.01257750636.14 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
128 schema:familyName Chelu
129 schema:givenName Raluca G.
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01257750636.14
131 rdf:type schema:Person
132 sg:person.0645152177.66 schema:affiliation https://www.grid.ac/institutes/grid.266100.3
133 schema:familyName Hsiao
134 schema:givenName Albert
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645152177.66
136 rdf:type schema:Person
137 sg:person.0645560304.68 schema:affiliation https://www.grid.ac/institutes/grid.240952.8
138 schema:familyName Vasanawala
139 schema:givenName Shreyas
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645560304.68
141 rdf:type schema:Person
142 sg:person.0652473172.64 schema:affiliation https://www.grid.ac/institutes/grid.5645.2
143 schema:familyName Kardys
144 schema:givenName Isabella
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652473172.64
146 rdf:type schema:Person
147 sg:pub.10.1007/s00246-010-9782-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052824859
148 https://doi.org/10.1007/s00246-010-9782-x
149 rdf:type schema:CreativeWork
150 sg:pub.10.1007/s00247-008-0977-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040103538
151 https://doi.org/10.1007/s00247-008-0977-8
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/s00247-010-1932-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1014821208
154 https://doi.org/10.1007/s00247-010-1932-z
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s00330-016-4407-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007442282
157 https://doi.org/10.1007/s00330-016-4407-2
158 rdf:type schema:CreativeWork
159 sg:pub.10.1186/s12880-015-0061-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031245107
160 https://doi.org/10.1186/s12880-015-0061-4
161 rdf:type schema:CreativeWork
162 sg:pub.10.1186/s12968-018-0432-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101304972
163 https://doi.org/10.1186/s12968-018-0432-4
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1002/(sici)1522-2586(199911)10:5<656::aid-jmri8>3.0.co;2-f schema:sameAs https://app.dimensions.ai/details/publication/pub.1020667518
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1002/jmri.22519 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047276481
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1002/jmri.23936 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028804785
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1002/jmri.24856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033545109
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1002/jmri.24928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036975422
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1002/jmri.24959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027794682
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1002/jmri.25180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041972659
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1002/mrm.21778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000785203
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1002/mrm.22051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035716008
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1002/mrm.26557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039457025
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.acra.2014.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049812666
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.ejrad.2016.07.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018524410
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.jacc.2011.08.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050741807
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/s0195-668x(02)00383-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054625208
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1093/eurheartj/ehq249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013716686
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1136/heartjnl-2013-304225 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035776049
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1161/01.cir.0000087603.97036.c2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042187254
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1161/circimaging.108.769786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047009063
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1161/circimaging.113.000528 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045087527
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1161/circulationaha.108.190690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011236648
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1177/0218492317694248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083739118
206 rdf:type schema:CreativeWork
207 https://doi.org/10.2214/ajr.11.6969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069301826
208 rdf:type schema:CreativeWork
209 https://www.grid.ac/institutes/grid.240952.8 schema:alternateName Stanford Medicine
210 schema:name Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands
211 Department of Cardiology, Stanford Medical Center, Palo Alto, CA, USA
212 Department of Radiology, Erasmus MC, ‘s Gravendijkwal 230, Ca207a, 3015 CE, Rotterdam, The Netherlands
213 Department of Radiology, Stanford Medical Center, Palo Alto, CA, USA
214 rdf:type schema:Organization
215 https://www.grid.ac/institutes/grid.266100.3 schema:alternateName University of California, San Diego
216 schema:name Department of Radiology, UCSD, San Diego, CA, USA
217 rdf:type schema:Organization
218 https://www.grid.ac/institutes/grid.418120.e schema:alternateName Institute Mutualiste Montsouris
219 schema:name Department of Radiology, Institut Mutualiste Montsouris, Paris, France
220 rdf:type schema:Organization
221 https://www.grid.ac/institutes/grid.5645.2 schema:alternateName Erasmus University Medical Center
222 schema:name Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands
223 Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
224 Department of Radiology, Erasmus MC, ‘s Gravendijkwal 230, Ca207a, 3015 CE, Rotterdam, The Netherlands
225 rdf:type schema:Organization
226 https://www.grid.ac/institutes/grid.7692.a schema:alternateName University Medical Center Utrecht
227 schema:name Department of Radiology, UMC, Utrecht, The Netherlands
228 rdf:type schema:Organization
 




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


...