Use of Non-Invasive Phase Contrast Magnetic Resonance Imaging for Estimation of Atrial Septal Defect Size and Morphology: A Comparison with ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-04

AUTHORS

Chin Sze Piaw, Ong Tiong Kiam, Annuar Rapaee, Liew Chee Khoon, Liew Houng Bang, Chan Wei Ling, Hasri Samion, Sim Kui Hian

ABSTRACT

BACKGROUND: Transesophageal echocardiography (TEE) is a trusted method of sizing atrial septal defect (ASD) prior to percutaneous closure but is invasive, uncomfortable, and may carry a small risk of morbidity and mortality. Magnetic resonance imaging (MRI) may be useful non-invasive alternative in such patients who refuse or are unable to tolerate TEE and may provide additional information on the shape of the A0SD. PURPOSE: To validate the accuracy of ASD sizing by MRI compared with TEE. METHOD: Twelve patients (mean age 30 years; range 11-60 years) scheduled for ASD closure underwent TEE, cine balanced fast field echo MRI (bFFE-MRI) in four-chamber and sagittal views and phase-contrast MRI (PC-MRI) with reconstruction using the two orthogonal planes of T2-weighted images as planning. The average of the three longest measurements for all imaging modalities was calculated for each patient. RESULTS: Mean maximum ASD length on TEE was 18.8 +/- 4.6 mm, mean length by bFFE-MRI was 20.0 +/- 5.0 mm, and mean length by PC-MRI was 18.3 +/- 3.6 mm. The TEE measurement was significantly correlated with the bFFE-MRI and PC-MRI measurements (Pearson r = 0.69, p = 0.02 and r = 0.59, p = 0.04, respectively). The mean difference between TEE and bFFE-MRI measurements was -1.2mm (95% CI: -3.7, 1.3) and between TEE and PC-MRI was 0.5 mm (95% CI: -1.9, 2.9). Bland-Altman analysis also determined general agreement between both MRI methods and TEE. The ASDs were egg-shaped in two cases, circular in 1 patient and oval in the remaining patients. CONCLUSION: ASD sizing by MRI using bFFE and phase-contrast protocols correlated well with TEE estimations. PC-MRI provided additional information on ASD shapes and proximity to adjacent structures. More... »

PAGES

230-234

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00270-005-0003-6

DOI

http://dx.doi.org/10.1007/s00270-005-0003-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018870155

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16252078


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "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": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Echocardiography, Transesophageal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Septal Defects, Atrial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sarawak General Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415281.b", 
          "name": [
            "Department of Cardiology, Sarawak General Hospital, Jalan Tun Ahmad Zaidi Adruce, 93580, Kuching, Sarawak, East Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Piaw", 
        "givenName": "Chin Sze", 
        "id": "sg:person.01266320435.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266320435.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sarawak General Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415281.b", 
          "name": [
            "Department of Cardiology, Sarawak General Hospital, Jalan Tun Ahmad Zaidi Adruce, 93580, Kuching, Sarawak, East Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kiam", 
        "givenName": "Ong Tiong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universiti Malaysia Sarawak", 
          "id": "https://www.grid.ac/institutes/grid.412253.3", 
          "name": [
            "University of Malaysia Sarawak, Sarawak, East Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rapaee", 
        "givenName": "Annuar", 
        "id": "sg:person.01304527221.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304527221.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sarawak General Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415281.b", 
          "name": [
            "Department of Cardiology, Sarawak General Hospital, Jalan Tun Ahmad Zaidi Adruce, 93580, Kuching, Sarawak, East Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khoon", 
        "givenName": "Liew Chee", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sarawak General Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415281.b", 
          "name": [
            "Department of Cardiology, Sarawak General Hospital, Jalan Tun Ahmad Zaidi Adruce, 93580, Kuching, Sarawak, East Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bang", 
        "givenName": "Liew Houng", 
        "id": "sg:person.0725256135.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725256135.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sarawak General Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415281.b", 
          "name": [
            "Department of Cardiology, Sarawak General Hospital, Jalan Tun Ahmad Zaidi Adruce, 93580, Kuching, Sarawak, East Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ling", 
        "givenName": "Chan Wei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Heart Institute", 
          "id": "https://www.grid.ac/institutes/grid.419388.f", 
          "name": [
            "Pediatric of Cardiology, National Heart Institute, Kuala Lumpur, Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Samion", 
        "givenName": "Hasri", 
        "id": "sg:person.01057335072.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057335072.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sarawak General Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415281.b", 
          "name": [
            "Department of Cardiology, Sarawak General Hospital, Jalan Tun Ahmad Zaidi Adruce, 93580, Kuching, Sarawak, East Malaysia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hian", 
        "givenName": "Sim Kui", 
        "id": "sg:person.01306041022.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306041022.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0002-9149(90)90741-i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002175539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002460010111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002225244", 
          "https://doi.org/10.1007/s002460010111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002469910014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013177782", 
          "https://doi.org/10.1007/s002469910014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1047951100008167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016806834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0002-8703(95)90046-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017303254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.87.4.1239", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019693588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1540-8175.1993.tb00069.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022040131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ccd.20083", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024217289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9149(99)80555-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027489085"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0894-7317(14)80375-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030852022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00246-003-0481-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031863194", 
          "https://doi.org/10.1007/s00246-003-0481-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0735-1097(01)01730-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038709960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040287180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040287180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2282020798", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041943119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2004.03.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053091978"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.103.20.2476", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053475008"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/euhj.1998.1330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057073908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.92.12.3473", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063336377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.145.4.697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069313379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075181514", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.162.1.3786759", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079951244"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-04", 
    "datePublishedReg": "2006-04-01", 
    "description": "BACKGROUND: Transesophageal echocardiography (TEE) is a trusted method of sizing atrial septal defect (ASD) prior to percutaneous closure but is invasive, uncomfortable, and may carry a small risk of morbidity and mortality. Magnetic resonance imaging (MRI) may be useful non-invasive alternative in such patients who refuse or are unable to tolerate TEE and may provide additional information on the shape of the A0SD.\nPURPOSE: To validate the accuracy of ASD sizing by MRI compared with TEE.\nMETHOD: Twelve patients (mean age 30 years; range 11-60 years) scheduled for ASD closure underwent TEE, cine balanced fast field echo MRI (bFFE-MRI) in four-chamber and sagittal views and phase-contrast MRI (PC-MRI) with reconstruction using the two orthogonal planes of T2-weighted images as planning. The average of the three longest measurements for all imaging modalities was calculated for each patient.\nRESULTS: Mean maximum ASD length on TEE was 18.8 +/- 4.6 mm, mean length by bFFE-MRI was 20.0 +/- 5.0 mm, and mean length by PC-MRI was 18.3 +/- 3.6 mm. The TEE measurement was significantly correlated with the bFFE-MRI and PC-MRI measurements (Pearson r = 0.69, p = 0.02 and r = 0.59, p = 0.04, respectively). The mean difference between TEE and bFFE-MRI measurements was -1.2mm (95% CI: -3.7, 1.3) and between TEE and PC-MRI was 0.5 mm (95% CI: -1.9, 2.9). Bland-Altman analysis also determined general agreement between both MRI methods and TEE. The ASDs were egg-shaped in two cases, circular in 1 patient and oval in the remaining patients.\nCONCLUSION: ASD sizing by MRI using bFFE and phase-contrast protocols correlated well with TEE estimations. PC-MRI provided additional information on ASD shapes and proximity to adjacent structures.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00270-005-0003-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1091062", 
        "issn": [
          "0174-1551", 
          "1432-086X"
        ], 
        "name": "CardioVascular and Interventional Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "29"
      }
    ], 
    "name": "Use of Non-Invasive Phase Contrast Magnetic Resonance Imaging for Estimation of Atrial Septal Defect Size and Morphology: A Comparison with Transesophageal Echo", 
    "pagination": "230-234", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "59e92446ac919aa66c53878d42967822e8c7509a67d8fc79418a6604c42ebf68"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "16252078"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8003538"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00270-005-0003-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1018870155"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00270-005-0003-6", 
      "https://app.dimensions.ai/details/publication/pub.1018870155"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:26", 
    "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/v90/0000000362_0000000362/records_87115_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00270-005-0003-6"
  }
]
 

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/s00270-005-0003-6'

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/s00270-005-0003-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00270-005-0003-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00270-005-0003-6'


 

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

234 TRIPLES      21 PREDICATES      62 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00270-005-0003-6 schema:about N1a73385106954d178c78181046463dd7
2 N28fa4c02a2e74cb9acafcd0fc4d460b6
3 N4218cf2d12964ccb90c0c7f9f588f934
4 N53d1cbafa59d431792aa798d940da04d
5 N7265002b0119428fbd4fc78476548860
6 N76f484489c2c4e0094975534f05b336b
7 N799e3eff423d42ff92fbf503aaccb2be
8 N8957291565da4295abd1f5e5b09f0bcf
9 N9f86bda5b965495982d3ef9e45d0b6da
10 Na0c85ab12de448a19813ebec4df69296
11 Na8678bee38d942a1907e149e0308621a
12 Nefb1280640164b9e9c2fe6ee425df2ad
13 anzsrc-for:11
14 anzsrc-for:1103
15 schema:author Nd45898084ad04514bcd02b74e48e3d52
16 schema:citation sg:pub.10.1007/s00246-003-0481-8
17 sg:pub.10.1007/s002460010111
18 sg:pub.10.1007/s002469910014
19 https://app.dimensions.ai/details/publication/pub.1075181514
20 https://doi.org/10.1002/ccd.20083
21 https://doi.org/10.1016/0002-8703(95)90046-2
22 https://doi.org/10.1016/0002-9149(90)90741-i
23 https://doi.org/10.1016/j.jacc.2004.03.038
24 https://doi.org/10.1016/s0002-9149(99)80555-4
25 https://doi.org/10.1016/s0140-6736(86)90837-8
26 https://doi.org/10.1016/s0735-1097(01)01730-2
27 https://doi.org/10.1016/s0894-7317(14)80375-1
28 https://doi.org/10.1017/s1047951100008167
29 https://doi.org/10.1053/euhj.1998.1330
30 https://doi.org/10.1111/j.1540-8175.1993.tb00069.x
31 https://doi.org/10.1148/radiol.2282020798
32 https://doi.org/10.1148/radiology.162.1.3786759
33 https://doi.org/10.1161/01.cir.103.20.2476
34 https://doi.org/10.1161/01.cir.87.4.1239
35 https://doi.org/10.1161/01.cir.92.12.3473
36 https://doi.org/10.2214/ajr.145.4.697
37 schema:datePublished 2006-04
38 schema:datePublishedReg 2006-04-01
39 schema:description BACKGROUND: Transesophageal echocardiography (TEE) is a trusted method of sizing atrial septal defect (ASD) prior to percutaneous closure but is invasive, uncomfortable, and may carry a small risk of morbidity and mortality. Magnetic resonance imaging (MRI) may be useful non-invasive alternative in such patients who refuse or are unable to tolerate TEE and may provide additional information on the shape of the A0SD. PURPOSE: To validate the accuracy of ASD sizing by MRI compared with TEE. METHOD: Twelve patients (mean age 30 years; range 11-60 years) scheduled for ASD closure underwent TEE, cine balanced fast field echo MRI (bFFE-MRI) in four-chamber and sagittal views and phase-contrast MRI (PC-MRI) with reconstruction using the two orthogonal planes of T2-weighted images as planning. The average of the three longest measurements for all imaging modalities was calculated for each patient. RESULTS: Mean maximum ASD length on TEE was 18.8 +/- 4.6 mm, mean length by bFFE-MRI was 20.0 +/- 5.0 mm, and mean length by PC-MRI was 18.3 +/- 3.6 mm. The TEE measurement was significantly correlated with the bFFE-MRI and PC-MRI measurements (Pearson r = 0.69, p = 0.02 and r = 0.59, p = 0.04, respectively). The mean difference between TEE and bFFE-MRI measurements was -1.2mm (95% CI: -3.7, 1.3) and between TEE and PC-MRI was 0.5 mm (95% CI: -1.9, 2.9). Bland-Altman analysis also determined general agreement between both MRI methods and TEE. The ASDs were egg-shaped in two cases, circular in 1 patient and oval in the remaining patients. CONCLUSION: ASD sizing by MRI using bFFE and phase-contrast protocols correlated well with TEE estimations. PC-MRI provided additional information on ASD shapes and proximity to adjacent structures.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree true
43 schema:isPartOf Nc63bf87abe76423eb22cc473dc28220c
44 Nf5a57affbc134c01a33118e96d718f26
45 sg:journal.1091062
46 schema:name Use of Non-Invasive Phase Contrast Magnetic Resonance Imaging for Estimation of Atrial Septal Defect Size and Morphology: A Comparison with Transesophageal Echo
47 schema:pagination 230-234
48 schema:productId N2c52b828380d425ebe2872dc1c30c1ba
49 N478a9b1afa724259ab4b44ad6973f283
50 N5bd473118ade4fa0badbce5d10549756
51 Nbf92613fdd9045268da4c6a1bda24515
52 Ndd9e161361014c4d9dd99a39d36a5377
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018870155
54 https://doi.org/10.1007/s00270-005-0003-6
55 schema:sdDatePublished 2019-04-11T12:26
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher Nbf08e62eee964a39b400b33943bfdaed
58 schema:url http://link.springer.com/10.1007%2Fs00270-005-0003-6
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N039c07b0ac0c4e4ebad5ad704c1f4465 schema:affiliation https://www.grid.ac/institutes/grid.415281.b
63 schema:familyName Kiam
64 schema:givenName Ong Tiong
65 rdf:type schema:Person
66 N1775cb9f54e44fdcb2a7e17077261b0e schema:affiliation https://www.grid.ac/institutes/grid.415281.b
67 schema:familyName Ling
68 schema:givenName Chan Wei
69 rdf:type schema:Person
70 N1a73385106954d178c78181046463dd7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Female
72 rdf:type schema:DefinedTerm
73 N28fa4c02a2e74cb9acafcd0fc4d460b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Magnetic Resonance Imaging
75 rdf:type schema:DefinedTerm
76 N2c52b828380d425ebe2872dc1c30c1ba schema:name doi
77 schema:value 10.1007/s00270-005-0003-6
78 rdf:type schema:PropertyValue
79 N336a28e6926e4e1faa88267b82e4ef83 schema:affiliation https://www.grid.ac/institutes/grid.415281.b
80 schema:familyName Khoon
81 schema:givenName Liew Chee
82 rdf:type schema:Person
83 N4218cf2d12964ccb90c0c7f9f588f934 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Echocardiography, Transesophageal
85 rdf:type schema:DefinedTerm
86 N478a9b1afa724259ab4b44ad6973f283 schema:name dimensions_id
87 schema:value pub.1018870155
88 rdf:type schema:PropertyValue
89 N53d1cbafa59d431792aa798d940da04d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Humans
91 rdf:type schema:DefinedTerm
92 N5bd473118ade4fa0badbce5d10549756 schema:name pubmed_id
93 schema:value 16252078
94 rdf:type schema:PropertyValue
95 N7265002b0119428fbd4fc78476548860 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Adolescent
97 rdf:type schema:DefinedTerm
98 N7417bb0b8a2a452db0774007d8594199 rdf:first N039c07b0ac0c4e4ebad5ad704c1f4465
99 rdf:rest Nd93b1b3119d14eeb8ff03d772dc3dadf
100 N76f484489c2c4e0094975534f05b336b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Heart Septal Defects, Atrial
102 rdf:type schema:DefinedTerm
103 N799e3eff423d42ff92fbf503aaccb2be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Child
105 rdf:type schema:DefinedTerm
106 N8957291565da4295abd1f5e5b09f0bcf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Male
108 rdf:type schema:DefinedTerm
109 N93039bcfa5804c4caece237e0217ff23 rdf:first sg:person.01306041022.01
110 rdf:rest rdf:nil
111 N9f86bda5b965495982d3ef9e45d0b6da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Image Processing, Computer-Assisted
113 rdf:type schema:DefinedTerm
114 Na0c85ab12de448a19813ebec4df69296 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Prospective Studies
116 rdf:type schema:DefinedTerm
117 Na8678bee38d942a1907e149e0308621a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Adult
119 rdf:type schema:DefinedTerm
120 Nbf08e62eee964a39b400b33943bfdaed schema:name Springer Nature - SN SciGraph project
121 rdf:type schema:Organization
122 Nbf92613fdd9045268da4c6a1bda24515 schema:name readcube_id
123 schema:value 59e92446ac919aa66c53878d42967822e8c7509a67d8fc79418a6604c42ebf68
124 rdf:type schema:PropertyValue
125 Nc63bf87abe76423eb22cc473dc28220c schema:volumeNumber 29
126 rdf:type schema:PublicationVolume
127 Nd45898084ad04514bcd02b74e48e3d52 rdf:first sg:person.01266320435.72
128 rdf:rest N7417bb0b8a2a452db0774007d8594199
129 Nd838082593454f24ab12f22200b1aadf rdf:first sg:person.01057335072.24
130 rdf:rest N93039bcfa5804c4caece237e0217ff23
131 Nd93b1b3119d14eeb8ff03d772dc3dadf rdf:first sg:person.01304527221.41
132 rdf:rest Neb0a523c16574327a18ffe12dbdc3db3
133 Ndd9e161361014c4d9dd99a39d36a5377 schema:name nlm_unique_id
134 schema:value 8003538
135 rdf:type schema:PropertyValue
136 Ne58280d068dd40daa1ddd57190369c49 rdf:first sg:person.0725256135.23
137 rdf:rest Nfca1a8696cac46b0bde46254734ea1c2
138 Neb0a523c16574327a18ffe12dbdc3db3 rdf:first N336a28e6926e4e1faa88267b82e4ef83
139 rdf:rest Ne58280d068dd40daa1ddd57190369c49
140 Nefb1280640164b9e9c2fe6ee425df2ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Middle Aged
142 rdf:type schema:DefinedTerm
143 Nf5a57affbc134c01a33118e96d718f26 schema:issueNumber 2
144 rdf:type schema:PublicationIssue
145 Nfca1a8696cac46b0bde46254734ea1c2 rdf:first N1775cb9f54e44fdcb2a7e17077261b0e
146 rdf:rest Nd838082593454f24ab12f22200b1aadf
147 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
148 schema:name Medical and Health Sciences
149 rdf:type schema:DefinedTerm
150 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
151 schema:name Clinical Sciences
152 rdf:type schema:DefinedTerm
153 sg:journal.1091062 schema:issn 0174-1551
154 1432-086X
155 schema:name CardioVascular and Interventional Radiology
156 rdf:type schema:Periodical
157 sg:person.01057335072.24 schema:affiliation https://www.grid.ac/institutes/grid.419388.f
158 schema:familyName Samion
159 schema:givenName Hasri
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057335072.24
161 rdf:type schema:Person
162 sg:person.01266320435.72 schema:affiliation https://www.grid.ac/institutes/grid.415281.b
163 schema:familyName Piaw
164 schema:givenName Chin Sze
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266320435.72
166 rdf:type schema:Person
167 sg:person.01304527221.41 schema:affiliation https://www.grid.ac/institutes/grid.412253.3
168 schema:familyName Rapaee
169 schema:givenName Annuar
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304527221.41
171 rdf:type schema:Person
172 sg:person.01306041022.01 schema:affiliation https://www.grid.ac/institutes/grid.415281.b
173 schema:familyName Hian
174 schema:givenName Sim Kui
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306041022.01
176 rdf:type schema:Person
177 sg:person.0725256135.23 schema:affiliation https://www.grid.ac/institutes/grid.415281.b
178 schema:familyName Bang
179 schema:givenName Liew Houng
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725256135.23
181 rdf:type schema:Person
182 sg:pub.10.1007/s00246-003-0481-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031863194
183 https://doi.org/10.1007/s00246-003-0481-8
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s002460010111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002225244
186 https://doi.org/10.1007/s002460010111
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/s002469910014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013177782
189 https://doi.org/10.1007/s002469910014
190 rdf:type schema:CreativeWork
191 https://app.dimensions.ai/details/publication/pub.1075181514 schema:CreativeWork
192 https://doi.org/10.1002/ccd.20083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024217289
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/0002-8703(95)90046-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017303254
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/0002-9149(90)90741-i schema:sameAs https://app.dimensions.ai/details/publication/pub.1002175539
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.jacc.2004.03.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053091978
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/s0002-9149(99)80555-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027489085
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/s0140-6736(86)90837-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040287180
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/s0735-1097(01)01730-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038709960
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/s0894-7317(14)80375-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030852022
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1017/s1047951100008167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016806834
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1053/euhj.1998.1330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057073908
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1111/j.1540-8175.1993.tb00069.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022040131
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1148/radiol.2282020798 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041943119
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1148/radiology.162.1.3786759 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079951244
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1161/01.cir.103.20.2476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053475008
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1161/01.cir.87.4.1239 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019693588
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1161/01.cir.92.12.3473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063336377
223 rdf:type schema:CreativeWork
224 https://doi.org/10.2214/ajr.145.4.697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069313379
225 rdf:type schema:CreativeWork
226 https://www.grid.ac/institutes/grid.412253.3 schema:alternateName Universiti Malaysia Sarawak
227 schema:name University of Malaysia Sarawak, Sarawak, East Malaysia
228 rdf:type schema:Organization
229 https://www.grid.ac/institutes/grid.415281.b schema:alternateName Sarawak General Hospital
230 schema:name Department of Cardiology, Sarawak General Hospital, Jalan Tun Ahmad Zaidi Adruce, 93580, Kuching, Sarawak, East Malaysia
231 rdf:type schema:Organization
232 https://www.grid.ac/institutes/grid.419388.f schema:alternateName National Heart Institute
233 schema:name Pediatric of Cardiology, National Heart Institute, Kuala Lumpur, Malaysia
234 rdf:type schema:Organization
 




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


...