Personalized Perioperative Multi-scale, Multi-physics Heart Simulation of Double Outlet Right Ventricle View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-03-09

AUTHORS

Taro Kariya, Takumi Washio, Jun-ichi Okada, Machiko Nakagawa, Masahiro Watanabe, Yoshimasa Kadooka, Shunji Sano, Ryozo Nagai, Seiryo Sugiura, Toshiaki Hisada

ABSTRACT

For treatment of complex congenital heart disease, computer simulation using a three-dimensional heart model may help to improve outcomes by enabling detailed preoperative evaluations. However, no highly integrated model that accurately reproduces a patient’s pathophysiology, which is required for this simulation has been reported. We modelled a case of complex congenital heart disease, double outlet right ventricle with ventricular septal defect and atrial septal defect. From preoperative computed tomography images, finite element meshes of the heart and torso were created, and cell model of cardiac electrophysiology and sarcomere dynamics was implemented. The parameter values of the heart model were adjusted to reproduce the patient’s electrocardiogram and haemodynamics recorded preoperatively. Two options of in silico surgery were performed using this heart model, and the resulting changes in performance were examined. Preoperative and postoperative simulations showed good agreement with clinical records including haemodynamics and measured oxyhaemoglobin saturations. The use of a detailed sarcomere model also enabled comparison of energetic efficiency between the two surgical options. A novel in silico model of congenital heart disease that integrates molecular models of cardiac function successfully reproduces the observed pathophysiology. The simulation of postoperative state by in silico surgeries can help guide clinical decision-making. More... »

PAGES

1740-1750

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10439-020-02488-y

DOI

http://dx.doi.org/10.1007/s10439-020-02488-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1125503806

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32152800


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Double Outlet Right Ventricle", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrocardiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Cardiovascular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Patient-Specific Modeling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Perioperative Period", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Cardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA", 
          "id": "http://www.grid.ac/institutes/grid.59734.3c", 
          "name": [
            "Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan", 
            "Cardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kariya", 
        "givenName": "Taro", 
        "id": "sg:person.01015445212.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015445212.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UT-Heart Inc, The University of Tokyo, Tokyo, Kashiwa-no-ha Campus Station Satellite #304, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "UT-Heart Inc, The University of Tokyo, Tokyo, Kashiwa-no-ha Campus Station Satellite #304, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Washio", 
        "givenName": "Takumi", 
        "id": "sg:person.01163254214.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163254214.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UT-Heart Inc, The University of Tokyo, Tokyo, Kashiwa-no-ha Campus Station Satellite #304, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "UT-Heart Inc, The University of Tokyo, Tokyo, Kashiwa-no-ha Campus Station Satellite #304, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okada", 
        "givenName": "Jun-ichi", 
        "id": "sg:person.01220732456.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220732456.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Next-Generation Healthcare Innovation Center, Fujitsu Ltd., Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.418251.b", 
          "name": [
            "Next-Generation Healthcare Innovation Center, Fujitsu Ltd., Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakagawa", 
        "givenName": "Machiko", 
        "id": "sg:person.01131673612.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131673612.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Next-Generation Healthcare Innovation Center, Fujitsu Ltd., Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.418251.b", 
          "name": [
            "Next-Generation Healthcare Innovation Center, Fujitsu Ltd., Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Masahiro", 
        "id": "sg:person.013200237717.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013200237717.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Next-Generation Healthcare Innovation Center, Fujitsu Ltd., Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.418251.b", 
          "name": [
            "Next-Generation Healthcare Innovation Center, Fujitsu Ltd., Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kadooka", 
        "givenName": "Yoshimasa", 
        "id": "sg:person.01200007012.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200007012.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Pediatric Cardiothoracic Surgery, Department of Surgery, University of California San Francisco, San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Department of Cardiac Surgery, Okayama University, Okayama, Japan", 
            "Division of Pediatric Cardiothoracic Surgery, Department of Surgery, University of California San Francisco, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sano", 
        "givenName": "Shunji", 
        "id": "sg:person.0741430703.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741430703.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jichi Medical University, Tochigi, Japan", 
          "id": "http://www.grid.ac/institutes/grid.410804.9", 
          "name": [
            "Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan", 
            "Jichi Medical University, Tochigi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nagai", 
        "givenName": "Ryozo", 
        "id": "sg:person.0772176333.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772176333.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UT-Heart Inc, The University of Tokyo, Tokyo, Kashiwa-no-ha Campus Station Satellite #304, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "UT-Heart Inc, The University of Tokyo, Tokyo, Kashiwa-no-ha Campus Station Satellite #304, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sugiura", 
        "givenName": "Seiryo", 
        "id": "sg:person.01277502614.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277502614.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UT-Heart Inc, The University of Tokyo, Tokyo, Kashiwa-no-ha Campus Station Satellite #304, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "UT-Heart Inc, The University of Tokyo, Tokyo, Kashiwa-no-ha Campus Station Satellite #304, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hisada", 
        "givenName": "Toshiaki", 
        "id": "sg:person.01231367414.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231367414.61"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11886-013-0395-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024697869", 
          "https://doi.org/10.1007/s11886-013-0395-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12195-011-0219-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008451149", 
          "https://doi.org/10.1007/s12195-011-0219-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11517-013-1044-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029121173", 
          "https://doi.org/10.1007/s11517-013-1044-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1203/00006450-200111000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005001509", 
          "https://doi.org/10.1203/00006450-200111000-00006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10439-006-9212-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023446162", 
          "https://doi.org/10.1007/s10439-006-9212-7"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-03-09", 
    "datePublishedReg": "2020-03-09", 
    "description": "For treatment of complex congenital heart disease, computer simulation using a three-dimensional heart model may help to improve outcomes by enabling detailed preoperative evaluations. However, no highly integrated model that accurately reproduces a patient\u2019s pathophysiology, which is required for this simulation has been reported. We modelled a case of complex congenital heart disease, double outlet right ventricle with ventricular septal defect and atrial septal defect. From preoperative computed tomography images, finite element meshes of the heart and torso were created, and cell model of cardiac electrophysiology and sarcomere dynamics was implemented. The parameter values of the heart model were adjusted to reproduce the patient\u2019s electrocardiogram and haemodynamics recorded preoperatively. Two options of in silico surgery were performed using this heart model, and the resulting changes in performance were examined. Preoperative and postoperative simulations showed good agreement with clinical records including haemodynamics and measured oxyhaemoglobin saturations. The use of a detailed sarcomere model also enabled comparison of energetic efficiency between the two surgical options. A novel in silico model of congenital heart disease that integrates molecular models of cardiac function successfully reproduces the observed pathophysiology. The simulation of postoperative state by in silico surgeries can help guide clinical decision-making.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10439-020-02488-y", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1087247", 
        "issn": [
          "0145-3068", 
          "1573-9686"
        ], 
        "name": "Annals of Biomedical Engineering", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "48"
      }
    ], 
    "keywords": [
      "congenital heart disease", 
      "complex congenital heart disease", 
      "heart disease", 
      "septal defect", 
      "heart model", 
      "double outlet right ventricle", 
      "detailed preoperative evaluation", 
      "outlet right ventricle", 
      "ventricular septal defect", 
      "atrial septal defect", 
      "preoperative computed tomography images", 
      "preoperative evaluation", 
      "surgical options", 
      "right ventricle", 
      "clinical records", 
      "oxyhaemoglobin saturation", 
      "cardiac function", 
      "postoperative state", 
      "double outlet", 
      "patient pathophysiology", 
      "observed pathophysiology", 
      "pathophysiology", 
      "three-dimensional heart model", 
      "computed tomography images", 
      "disease", 
      "patient's electrocardiogram", 
      "haemodynamics", 
      "surgery", 
      "cardiac electrophysiology", 
      "ventricle", 
      "tomography images", 
      "electrocardiogram", 
      "postoperative simulation", 
      "cell model", 
      "finite element mesh", 
      "sarcomere dynamics", 
      "options", 
      "outcomes", 
      "electrophysiology", 
      "treatment", 
      "element mesh", 
      "heart", 
      "defects", 
      "silico models", 
      "simulations", 
      "good agreement", 
      "evaluation", 
      "cases", 
      "torso", 
      "records", 
      "energetic efficiency", 
      "heart simulation", 
      "computer simulations", 
      "changes", 
      "use", 
      "function", 
      "parameter values", 
      "model", 
      "integrated model", 
      "saturation", 
      "comparison", 
      "mesh", 
      "outlet", 
      "performance", 
      "efficiency", 
      "values", 
      "Multi", 
      "agreement", 
      "novel", 
      "dynamics", 
      "state", 
      "images", 
      "molecular model", 
      "silico surgery", 
      "detailed sarcomere model", 
      "sarcomere model", 
      "Personalized Perioperative Multi", 
      "Perioperative Multi", 
      "Multi-physics Heart Simulation"
    ], 
    "name": "Personalized Perioperative Multi-scale, Multi-physics Heart Simulation of Double Outlet Right Ventricle", 
    "pagination": "1740-1750", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1125503806"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10439-020-02488-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "32152800"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10439-020-02488-y", 
      "https://app.dimensions.ai/details/publication/pub.1125503806"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:58", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_852.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10439-020-02488-y"
  }
]
 

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/s10439-020-02488-y'

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/s10439-020-02488-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10439-020-02488-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10439-020-02488-y'


 

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

267 TRIPLES      22 PREDICATES      117 URIs      104 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10439-020-02488-y schema:about N15114898c57b41b988c15c3a20a70b82
2 N34c8ab86534b4ee2b6bfa7214e5c4b03
3 N77b40eda8a4b4730ba5e3f3f32493691
4 Na37d16d3b09f4f40981732f624bd026e
5 Naa9d672eb114483ca89126f264f44102
6 Nbf903a21cfed4b418047464c0f7982a8
7 Ndeb9426ba8f94042aa2d8aceb7a92426
8 anzsrc-for:11
9 anzsrc-for:1102
10 schema:author Nc5faa2e5053f437b91eab56fa13a9bf8
11 schema:citation sg:pub.10.1007/s10439-006-9212-7
12 sg:pub.10.1007/s11517-013-1044-7
13 sg:pub.10.1007/s11886-013-0395-x
14 sg:pub.10.1007/s12195-011-0219-2
15 sg:pub.10.1203/00006450-200111000-00006
16 schema:datePublished 2020-03-09
17 schema:datePublishedReg 2020-03-09
18 schema:description For treatment of complex congenital heart disease, computer simulation using a three-dimensional heart model may help to improve outcomes by enabling detailed preoperative evaluations. However, no highly integrated model that accurately reproduces a patient’s pathophysiology, which is required for this simulation has been reported. We modelled a case of complex congenital heart disease, double outlet right ventricle with ventricular septal defect and atrial septal defect. From preoperative computed tomography images, finite element meshes of the heart and torso were created, and cell model of cardiac electrophysiology and sarcomere dynamics was implemented. The parameter values of the heart model were adjusted to reproduce the patient’s electrocardiogram and haemodynamics recorded preoperatively. Two options of in silico surgery were performed using this heart model, and the resulting changes in performance were examined. Preoperative and postoperative simulations showed good agreement with clinical records including haemodynamics and measured oxyhaemoglobin saturations. The use of a detailed sarcomere model also enabled comparison of energetic efficiency between the two surgical options. A novel in silico model of congenital heart disease that integrates molecular models of cardiac function successfully reproduces the observed pathophysiology. The simulation of postoperative state by in silico surgeries can help guide clinical decision-making.
19 schema:genre article
20 schema:inLanguage en
21 schema:isAccessibleForFree false
22 schema:isPartOf N90389713383a412498416d20794bc8be
23 Nf7f9be0d05ff48a3978e3b1eb89a4f90
24 sg:journal.1087247
25 schema:keywords Multi
26 Multi-physics Heart Simulation
27 Perioperative Multi
28 Personalized Perioperative Multi
29 agreement
30 atrial septal defect
31 cardiac electrophysiology
32 cardiac function
33 cases
34 cell model
35 changes
36 clinical records
37 comparison
38 complex congenital heart disease
39 computed tomography images
40 computer simulations
41 congenital heart disease
42 defects
43 detailed preoperative evaluation
44 detailed sarcomere model
45 disease
46 double outlet
47 double outlet right ventricle
48 dynamics
49 efficiency
50 electrocardiogram
51 electrophysiology
52 element mesh
53 energetic efficiency
54 evaluation
55 finite element mesh
56 function
57 good agreement
58 haemodynamics
59 heart
60 heart disease
61 heart model
62 heart simulation
63 images
64 integrated model
65 mesh
66 model
67 molecular model
68 novel
69 observed pathophysiology
70 options
71 outcomes
72 outlet
73 outlet right ventricle
74 oxyhaemoglobin saturation
75 parameter values
76 pathophysiology
77 patient pathophysiology
78 patient's electrocardiogram
79 performance
80 postoperative simulation
81 postoperative state
82 preoperative computed tomography images
83 preoperative evaluation
84 records
85 right ventricle
86 sarcomere dynamics
87 sarcomere model
88 saturation
89 septal defect
90 silico models
91 silico surgery
92 simulations
93 state
94 surgery
95 surgical options
96 three-dimensional heart model
97 tomography images
98 torso
99 treatment
100 use
101 values
102 ventricle
103 ventricular septal defect
104 schema:name Personalized Perioperative Multi-scale, Multi-physics Heart Simulation of Double Outlet Right Ventricle
105 schema:pagination 1740-1750
106 schema:productId N03cb0c37612e4fa78afc025329a53a1d
107 Nb7c8c7f9d6394211a856bfb059ed5610
108 Nd9a19476a9b44cffa1b14f66f35a3830
109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125503806
110 https://doi.org/10.1007/s10439-020-02488-y
111 schema:sdDatePublished 2022-01-01T18:58
112 schema:sdLicense https://scigraph.springernature.com/explorer/license/
113 schema:sdPublisher Nf5dc4a31f0a14ad9b96e467c59c08fa6
114 schema:url https://doi.org/10.1007/s10439-020-02488-y
115 sgo:license sg:explorer/license/
116 sgo:sdDataset articles
117 rdf:type schema:ScholarlyArticle
118 N03cb0c37612e4fa78afc025329a53a1d schema:name pubmed_id
119 schema:value 32152800
120 rdf:type schema:PropertyValue
121 N15114898c57b41b988c15c3a20a70b82 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Tomography, X-Ray Computed
123 rdf:type schema:DefinedTerm
124 N2fbb989df49f4b6d9763d6335ecf2829 rdf:first sg:person.01220732456.98
125 rdf:rest Ndffbec8f0e63436aa108d41ac1055b0f
126 N329ad9cf31514c6d93b0cc3273a4adf1 rdf:first sg:person.01231367414.61
127 rdf:rest rdf:nil
128 N34c8ab86534b4ee2b6bfa7214e5c4b03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Patient-Specific Modeling
130 rdf:type schema:DefinedTerm
131 N55b9daa9c540440da56d7252a7b4dc47 rdf:first sg:person.013200237717.47
132 rdf:rest N6355a1fb59d24db2a579e27cd4918346
133 N6355a1fb59d24db2a579e27cd4918346 rdf:first sg:person.01200007012.99
134 rdf:rest Nc3def3e8063e4424a3886a2442ef0189
135 N77b40eda8a4b4730ba5e3f3f32493691 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Models, Cardiovascular
137 rdf:type schema:DefinedTerm
138 N90389713383a412498416d20794bc8be schema:issueNumber 6
139 rdf:type schema:PublicationIssue
140 Na37d16d3b09f4f40981732f624bd026e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Double Outlet Right Ventricle
142 rdf:type schema:DefinedTerm
143 Na719cded4f2748faa366742ab3465d01 rdf:first sg:person.0772176333.38
144 rdf:rest Naba1e63d684549878163cd3bf6286657
145 Naa9d672eb114483ca89126f264f44102 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Perioperative Period
147 rdf:type schema:DefinedTerm
148 Naba1e63d684549878163cd3bf6286657 rdf:first sg:person.01277502614.69
149 rdf:rest N329ad9cf31514c6d93b0cc3273a4adf1
150 Nb7c8c7f9d6394211a856bfb059ed5610 schema:name doi
151 schema:value 10.1007/s10439-020-02488-y
152 rdf:type schema:PropertyValue
153 Nbf903a21cfed4b418047464c0f7982a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Electrocardiography
155 rdf:type schema:DefinedTerm
156 Nbfe4500603eb49d98d7a58deb5825760 rdf:first sg:person.01163254214.58
157 rdf:rest N2fbb989df49f4b6d9763d6335ecf2829
158 Nc3def3e8063e4424a3886a2442ef0189 rdf:first sg:person.0741430703.60
159 rdf:rest Na719cded4f2748faa366742ab3465d01
160 Nc5faa2e5053f437b91eab56fa13a9bf8 rdf:first sg:person.01015445212.36
161 rdf:rest Nbfe4500603eb49d98d7a58deb5825760
162 Nd9a19476a9b44cffa1b14f66f35a3830 schema:name dimensions_id
163 schema:value pub.1125503806
164 rdf:type schema:PropertyValue
165 Ndeb9426ba8f94042aa2d8aceb7a92426 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Humans
167 rdf:type schema:DefinedTerm
168 Ndffbec8f0e63436aa108d41ac1055b0f rdf:first sg:person.01131673612.37
169 rdf:rest N55b9daa9c540440da56d7252a7b4dc47
170 Nf5dc4a31f0a14ad9b96e467c59c08fa6 schema:name Springer Nature - SN SciGraph project
171 rdf:type schema:Organization
172 Nf7f9be0d05ff48a3978e3b1eb89a4f90 schema:volumeNumber 48
173 rdf:type schema:PublicationVolume
174 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
175 schema:name Medical and Health Sciences
176 rdf:type schema:DefinedTerm
177 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
178 schema:name Cardiorespiratory Medicine and Haematology
179 rdf:type schema:DefinedTerm
180 sg:journal.1087247 schema:issn 0145-3068
181 1573-9686
182 schema:name Annals of Biomedical Engineering
183 schema:publisher Springer Nature
184 rdf:type schema:Periodical
185 sg:person.01015445212.36 schema:affiliation grid-institutes:grid.59734.3c
186 schema:familyName Kariya
187 schema:givenName Taro
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015445212.36
189 rdf:type schema:Person
190 sg:person.01131673612.37 schema:affiliation grid-institutes:grid.418251.b
191 schema:familyName Nakagawa
192 schema:givenName Machiko
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131673612.37
194 rdf:type schema:Person
195 sg:person.01163254214.58 schema:affiliation grid-institutes:grid.26999.3d
196 schema:familyName Washio
197 schema:givenName Takumi
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163254214.58
199 rdf:type schema:Person
200 sg:person.01200007012.99 schema:affiliation grid-institutes:grid.418251.b
201 schema:familyName Kadooka
202 schema:givenName Yoshimasa
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200007012.99
204 rdf:type schema:Person
205 sg:person.01220732456.98 schema:affiliation grid-institutes:grid.26999.3d
206 schema:familyName Okada
207 schema:givenName Jun-ichi
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220732456.98
209 rdf:type schema:Person
210 sg:person.01231367414.61 schema:affiliation grid-institutes:grid.26999.3d
211 schema:familyName Hisada
212 schema:givenName Toshiaki
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231367414.61
214 rdf:type schema:Person
215 sg:person.01277502614.69 schema:affiliation grid-institutes:grid.26999.3d
216 schema:familyName Sugiura
217 schema:givenName Seiryo
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277502614.69
219 rdf:type schema:Person
220 sg:person.013200237717.47 schema:affiliation grid-institutes:grid.418251.b
221 schema:familyName Watanabe
222 schema:givenName Masahiro
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013200237717.47
224 rdf:type schema:Person
225 sg:person.0741430703.60 schema:affiliation grid-institutes:grid.266102.1
226 schema:familyName Sano
227 schema:givenName Shunji
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741430703.60
229 rdf:type schema:Person
230 sg:person.0772176333.38 schema:affiliation grid-institutes:grid.410804.9
231 schema:familyName Nagai
232 schema:givenName Ryozo
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772176333.38
234 rdf:type schema:Person
235 sg:pub.10.1007/s10439-006-9212-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023446162
236 https://doi.org/10.1007/s10439-006-9212-7
237 rdf:type schema:CreativeWork
238 sg:pub.10.1007/s11517-013-1044-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029121173
239 https://doi.org/10.1007/s11517-013-1044-7
240 rdf:type schema:CreativeWork
241 sg:pub.10.1007/s11886-013-0395-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024697869
242 https://doi.org/10.1007/s11886-013-0395-x
243 rdf:type schema:CreativeWork
244 sg:pub.10.1007/s12195-011-0219-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008451149
245 https://doi.org/10.1007/s12195-011-0219-2
246 rdf:type schema:CreativeWork
247 sg:pub.10.1203/00006450-200111000-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005001509
248 https://doi.org/10.1203/00006450-200111000-00006
249 rdf:type schema:CreativeWork
250 grid-institutes:grid.266102.1 schema:alternateName Division of Pediatric Cardiothoracic Surgery, Department of Surgery, University of California San Francisco, San Francisco, CA, USA
251 schema:name Department of Cardiac Surgery, Okayama University, Okayama, Japan
252 Division of Pediatric Cardiothoracic Surgery, Department of Surgery, University of California San Francisco, San Francisco, CA, USA
253 rdf:type schema:Organization
254 grid-institutes:grid.26999.3d schema:alternateName UT-Heart Inc, The University of Tokyo, Tokyo, Kashiwa-no-ha Campus Station Satellite #304, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan
255 schema:name UT-Heart Inc, The University of Tokyo, Tokyo, Kashiwa-no-ha Campus Station Satellite #304, 178-4-4 Wakashiba, 277-0871, Kashiwa, Chiba, Japan
256 rdf:type schema:Organization
257 grid-institutes:grid.410804.9 schema:alternateName Jichi Medical University, Tochigi, Japan
258 schema:name Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
259 Jichi Medical University, Tochigi, Japan
260 rdf:type schema:Organization
261 grid-institutes:grid.418251.b schema:alternateName Next-Generation Healthcare Innovation Center, Fujitsu Ltd., Tokyo, Japan
262 schema:name Next-Generation Healthcare Innovation Center, Fujitsu Ltd., Tokyo, Japan
263 rdf:type schema:Organization
264 grid-institutes:grid.59734.3c schema:alternateName Cardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
265 schema:name Cardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
266 Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
267 rdf:type schema:Organization
 




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


...