Patient-specific heart simulation can identify non-responders to cardiac resynchronization therapy View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-03-12

AUTHORS

Akihiro Isotani, Kazunori Yoneda, Takashi Iwamura, Masahiro Watanabe, Jun-ichi Okada, Takumi Washio, Seiryo Sugiura, Toshiaki Hisada, Kenji Ando

ABSTRACT

To identify non-responders to cardiac resynchronization therapy (CRT), various biomarkers have been proposed, but these attempts have not been successful to date. We tested the clinical applicability of computer simulation of CRT for the identification of non-responders. We used the multi-scale heart simulator "UT-Heart," which can reproduce the electrophysiology and mechanics of the heart based on a molecular model of the excitation-contraction mechanism. Patient-specific heart models were created for eight heart failure patients who were treated with CRT, based on the clinical data recorded before treatment. Using these heart models, bi-ventricular pacing simulations were performed at multiple pacing sites adopted in clinical practice. Improvement in pumping function measured by the relative change of maximum positive derivative of left ventricular pressure (%ΔdP/dtmax) was compared with the clinical outcome. The operators of the simulation were blinded to the clinical outcome. In six patients, the relative reduction in end-systolic volume exceeded 15% in the follow-up echocardiogram at 3 months (responders) and the remaining two patients were judged as non-responders. The simulated %ΔdP/dtmax at the best lead position could identify responders and non-responders successfully. With further refinement of the model, patient-specific simulation could be a useful tool for identifying non-responders to CRT. More... »

PAGES

1135-1147

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00380-020-01577-1

DOI

http://dx.doi.org/10.1007/s00380-020-01577-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1125611938

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32166443


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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cardiac Resynchronization Therapy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Clinical Decision-Making", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Decision Support Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Excitation Contraction Coupling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Failure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Cardiovascular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Myocardial Contraction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Patient Selection", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Patient-Specific Modeling", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Recovery of Function", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Failure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ventricular Function, Left", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ventricular Function, Right", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Cardiovascular Medicine, Kokura Memorial Hospital, Asano 3-2-1, Kokurakita-ku, Kitakyushu, Fukuoka 802-8555 Japan", 
          "id": "http://www.grid.ac/institutes/grid.415432.5", 
          "name": [
            "Department of Cardiovascular Medicine, Kokura Memorial Hospital, Asano 3-2-1, Kokurakita-ku, Kitakyushu, Fukuoka 802-8555 Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Isotani", 
        "givenName": "Akihiro", 
        "id": "sg:person.01302200427.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302200427.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Healthcare System Unit, Fujitsu Ltd, Ota-ku, Kamata, 144-8588 Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Healthcare System Unit, Fujitsu Ltd, Ota-ku, Kamata, 144-8588 Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoneda", 
        "givenName": "Kazunori", 
        "id": "sg:person.012456000422.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012456000422.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Healthcare System Unit, Fujitsu Ltd, Ota-ku, Kamata, 144-8588 Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Healthcare System Unit, Fujitsu Ltd, Ota-ku, Kamata, 144-8588 Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iwamura", 
        "givenName": "Takashi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Healthcare System Unit, Fujitsu Ltd, Ota-ku, Kamata, 144-8588 Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Healthcare System Unit, Fujitsu Ltd, Ota-ku, Kamata, 144-8588 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": "UT-Heart Inc. Nozawa, 3-25-8, Setagaya, Tokyo 154-0003 Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Future Center Initiative, The University of Tokyo, Wakashiba 178-4-4, Kashiwa, Chiba 277-0871 Japan", 
            "UT-Heart Inc. Nozawa, 3-25-8, Setagaya, Tokyo 154-0003 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": "UT-Heart Inc. Nozawa, 3-25-8, Setagaya, Tokyo 154-0003 Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Future Center Initiative, The University of Tokyo, Wakashiba 178-4-4, Kashiwa, Chiba 277-0871 Japan", 
            "UT-Heart Inc. Nozawa, 3-25-8, Setagaya, Tokyo 154-0003 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": "Future Center #304, Wakashiba 178-4-4, Kashiwa, Chiba 277-0871 Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "UT-Heart Inc. Nozawa, 3-25-8, Setagaya, Tokyo 154-0003 Japan", 
            "Future Center #304, Wakashiba 178-4-4, Kashiwa, Chiba 277-0871 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. Nozawa, 3-25-8, Setagaya, Tokyo 154-0003 Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "UT-Heart Inc. Nozawa, 3-25-8, Setagaya, Tokyo 154-0003 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"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiovascular Medicine, Kokura Memorial Hospital, Asano 3-2-1, Kokurakita-ku, Kitakyushu, Fukuoka 802-8555 Japan", 
          "id": "http://www.grid.ac/institutes/grid.415432.5", 
          "name": [
            "Department of Cardiovascular Medicine, Kokura Memorial Hospital, Asano 3-2-1, Kokurakita-ku, Kitakyushu, Fukuoka 802-8555 Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ando", 
        "givenName": "Kenji", 
        "id": "sg:person.01014341104.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014341104.13"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "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"
      }, 
      {
        "id": "sg:pub.10.1007/s12265-017-9779-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100317921", 
          "https://doi.org/10.1007/s12265-017-9779-4"
        ], 
        "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.10.1007/bf00586897", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040418280", 
          "https://doi.org/10.1007/bf00586897"
        ], 
        "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.10.1038/nrcardio.2014.67", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009501331", 
          "https://doi.org/10.1038/nrcardio.2014.67"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-03-12", 
    "datePublishedReg": "2020-03-12", 
    "description": "To identify non-responders to cardiac resynchronization therapy (CRT), various biomarkers have been proposed, but these attempts have not been successful to date. We tested the clinical applicability of computer simulation of CRT for the identification of non-responders. We used the multi-scale heart simulator \"UT-Heart,\" which can reproduce the electrophysiology and mechanics of the heart based on a molecular model of the excitation-contraction mechanism. Patient-specific heart models were created for eight heart failure patients who were treated with CRT, based on the clinical data recorded before treatment. Using these heart models, bi-ventricular pacing simulations were performed at multiple pacing sites adopted in clinical practice. Improvement in pumping function measured by the relative change of maximum positive derivative of left ventricular pressure (%\u0394dP/dtmax) was compared with the clinical outcome. The operators of the simulation were blinded to the clinical outcome. In six patients, the relative reduction in end-systolic volume exceeded 15% in the follow-up echocardiogram at 3\u00a0months (responders) and the remaining two patients were judged as non-responders. The simulated %\u0394dP/dtmax at the best lead position could identify responders and non-responders successfully. With further refinement of the model, patient-specific simulation could be a useful tool for identifying non-responders to CRT.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00380-020-01577-1", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1095887", 
        "issn": [
          "0910-8327", 
          "1615-2573"
        ], 
        "name": "Heart and Vessels", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "35"
      }
    ], 
    "keywords": [
      "cardiac resynchronization therapy", 
      "resynchronization therapy", 
      "clinical outcomes", 
      "maximum positive derivative", 
      "heart failure patients", 
      "left ventricular pressure", 
      "end-systolic volume", 
      "heart model", 
      "excitation-contraction mechanisms", 
      "failure patients", 
      "ventricular pressure", 
      "clinical data", 
      "clinical practice", 
      "patients", 
      "clinical applicability", 
      "lead position", 
      "heart simulator", 
      "therapy", 
      "relative reduction", 
      "patient-specific heart model", 
      "outcomes", 
      "echocardiogram", 
      "responders", 
      "biomarkers", 
      "months", 
      "further refinement", 
      "useful tool", 
      "electrophysiology", 
      "relative changes", 
      "treatment", 
      "heart", 
      "patient-specific simulations", 
      "positive derivative", 
      "heart simulation", 
      "reduction", 
      "date", 
      "volume", 
      "improvement", 
      "pressure", 
      "changes", 
      "mechanism", 
      "practice", 
      "function", 
      "identification", 
      "data", 
      "sites", 
      "model", 
      "attempt", 
      "tool", 
      "derivatives", 
      "sub", 
      "position", 
      "refinement", 
      "molecular model", 
      "mechanics", 
      "applicability", 
      "simulator", 
      "operators", 
      "computer simulations", 
      "simulations", 
      "multi-scale heart simulator", 
      "UT-Heart", 
      "bi-ventricular pacing simulations", 
      "pacing simulations", 
      "\u0394dP/", 
      "best lead position", 
      "Patient-specific heart simulation"
    ], 
    "name": "Patient-specific heart simulation can identify non-responders to cardiac resynchronization therapy", 
    "pagination": "1135-1147", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1125611938"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00380-020-01577-1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "32166443"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00380-020-01577-1", 
      "https://app.dimensions.ai/details/publication/pub.1125611938"
    ], 
    "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_868.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00380-020-01577-1"
  }
]
 

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/s00380-020-01577-1'

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/s00380-020-01577-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00380-020-01577-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00380-020-01577-1'


 

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

300 TRIPLES      22 PREDICATES      120 URIs      106 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00380-020-01577-1 schema:about N036162d331224a78b0c1521157aa98c4
2 N0df97810b09843dbaa88afdf6ec900a3
3 N1cbdc357c620435480a69afce061f6b1
4 N315261c7a8de4f75835096bb74a0deb3
5 N3541cfa33738420f8a21e0eba45c6fbf
6 N3cb944b2baed40cbaeed929f43a61593
7 N49bdcccedc3d4dfcbf36195fcd4de530
8 N5a6d273d38e34bcda08dec339eef0a8b
9 N8aedcde7708444cbb7463da5e1ef7f59
10 N8f43958ec238464a939483667ca3c067
11 Na5c1028b14f444d294d5651bc85b6d69
12 Na8d72792d5fa4a2c893c172e6f9286ed
13 Nae41f6663c1a45769560feaf39318925
14 Ncfce3cce5c6140a88eceb538e45a09f0
15 Nd36dca4d55064a949804bf94284ee446
16 Nd8e25772395242ee9c5ded93899680cb
17 Ne115345de48d4688a0d922cf1097df65
18 Nea133ea15d084f75a65e1b9dc6eced0f
19 Nf0bbe6a1e7df494e8a4e7caccb60c464
20 Nf3a7e3df1d9a4defa119b80b9dc49a4b
21 Nfafe0b93aaee469ba578c7a075572a16
22 anzsrc-for:11
23 anzsrc-for:1102
24 schema:author Ndc88f764ea85415d9eb475680972e1e4
25 schema:citation sg:pub.10.1007/bf00586897
26 sg:pub.10.1007/s10439-006-9212-7
27 sg:pub.10.1007/s11517-013-1044-7
28 sg:pub.10.1007/s12195-011-0219-2
29 sg:pub.10.1007/s12265-017-9779-4
30 sg:pub.10.1038/nrcardio.2014.67
31 schema:datePublished 2020-03-12
32 schema:datePublishedReg 2020-03-12
33 schema:description To identify non-responders to cardiac resynchronization therapy (CRT), various biomarkers have been proposed, but these attempts have not been successful to date. We tested the clinical applicability of computer simulation of CRT for the identification of non-responders. We used the multi-scale heart simulator "UT-Heart," which can reproduce the electrophysiology and mechanics of the heart based on a molecular model of the excitation-contraction mechanism. Patient-specific heart models were created for eight heart failure patients who were treated with CRT, based on the clinical data recorded before treatment. Using these heart models, bi-ventricular pacing simulations were performed at multiple pacing sites adopted in clinical practice. Improvement in pumping function measured by the relative change of maximum positive derivative of left ventricular pressure (%ΔdP/dt<sub>max</sub>) was compared with the clinical outcome. The operators of the simulation were blinded to the clinical outcome. In six patients, the relative reduction in end-systolic volume exceeded 15% in the follow-up echocardiogram at 3 months (responders) and the remaining two patients were judged as non-responders. The simulated %ΔdP/dt<sub>max</sub> at the best lead position could identify responders and non-responders successfully. With further refinement of the model, patient-specific simulation could be a useful tool for identifying non-responders to CRT.
34 schema:genre article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf N36eba522cd684dda905dc85ed28c018a
38 N6116dd7140d44cb2b08df4c9e6b45098
39 sg:journal.1095887
40 schema:keywords Patient-specific heart simulation
41 UT-Heart
42 applicability
43 attempt
44 best lead position
45 bi-ventricular pacing simulations
46 biomarkers
47 cardiac resynchronization therapy
48 changes
49 clinical applicability
50 clinical data
51 clinical outcomes
52 clinical practice
53 computer simulations
54 data
55 date
56 derivatives
57 echocardiogram
58 electrophysiology
59 end-systolic volume
60 excitation-contraction mechanisms
61 failure patients
62 function
63 further refinement
64 heart
65 heart failure patients
66 heart model
67 heart simulation
68 heart simulator
69 identification
70 improvement
71 lead position
72 left ventricular pressure
73 maximum positive derivative
74 mechanics
75 mechanism
76 model
77 molecular model
78 months
79 multi-scale heart simulator
80 operators
81 outcomes
82 pacing simulations
83 patient-specific heart model
84 patient-specific simulations
85 patients
86 position
87 positive derivative
88 practice
89 pressure
90 reduction
91 refinement
92 relative changes
93 relative reduction
94 responders
95 resynchronization therapy
96 simulations
97 simulator
98 sites
99 sub
100 therapy
101 tool
102 treatment
103 useful tool
104 ventricular pressure
105 volume
106 ΔdP/
107 schema:name Patient-specific heart simulation can identify non-responders to cardiac resynchronization therapy
108 schema:pagination 1135-1147
109 schema:productId N5d73388e108b49479259ce054145e254
110 N8a909f3814154dde903ac197c11b44fc
111 Ncdeb834bf5ae45e48d42cd7974515459
112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125611938
113 https://doi.org/10.1007/s00380-020-01577-1
114 schema:sdDatePublished 2022-01-01T18:58
115 schema:sdLicense https://scigraph.springernature.com/explorer/license/
116 schema:sdPublisher N4a4e05da386e4ef8a648fbb15f7bf8d1
117 schema:url https://doi.org/10.1007/s00380-020-01577-1
118 sgo:license sg:explorer/license/
119 sgo:sdDataset articles
120 rdf:type schema:ScholarlyArticle
121 N036162d331224a78b0c1521157aa98c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Treatment Failure
123 rdf:type schema:DefinedTerm
124 N0df97810b09843dbaa88afdf6ec900a3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Humans
126 rdf:type schema:DefinedTerm
127 N1cbdc357c620435480a69afce061f6b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Excitation Contraction Coupling
129 rdf:type schema:DefinedTerm
130 N2b035b4abb9542bab703a1062bd8a1a7 rdf:first sg:person.01220732456.98
131 rdf:rest Nda2851a4ed8f462b9456e5ba948d6567
132 N315261c7a8de4f75835096bb74a0deb3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Clinical Decision-Making
134 rdf:type schema:DefinedTerm
135 N3541cfa33738420f8a21e0eba45c6fbf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Ventricular Function, Left
137 rdf:type schema:DefinedTerm
138 N36eba522cd684dda905dc85ed28c018a schema:volumeNumber 35
139 rdf:type schema:PublicationVolume
140 N3cb944b2baed40cbaeed929f43a61593 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Aged
142 rdf:type schema:DefinedTerm
143 N3ce896168ba047fe8a1d57f79535695f rdf:first sg:person.01277502614.69
144 rdf:rest N63706c1a845641bbaecb7c9a9319071b
145 N49bdcccedc3d4dfcbf36195fcd4de530 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Middle Aged
147 rdf:type schema:DefinedTerm
148 N4a4e05da386e4ef8a648fbb15f7bf8d1 schema:name Springer Nature - SN SciGraph project
149 rdf:type schema:Organization
150 N5a6d273d38e34bcda08dec339eef0a8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Heart Failure
152 rdf:type schema:DefinedTerm
153 N5d73388e108b49479259ce054145e254 schema:name pubmed_id
154 schema:value 32166443
155 rdf:type schema:PropertyValue
156 N6116dd7140d44cb2b08df4c9e6b45098 schema:issueNumber 8
157 rdf:type schema:PublicationIssue
158 N63706c1a845641bbaecb7c9a9319071b rdf:first sg:person.01231367414.61
159 rdf:rest N674ba710f5f44872949550d5501e8751
160 N674ba710f5f44872949550d5501e8751 rdf:first sg:person.01014341104.13
161 rdf:rest rdf:nil
162 N85b991cf208c4ce9b70b402d36963174 rdf:first sg:person.013200237717.47
163 rdf:rest N2b035b4abb9542bab703a1062bd8a1a7
164 N8a909f3814154dde903ac197c11b44fc schema:name dimensions_id
165 schema:value pub.1125611938
166 rdf:type schema:PropertyValue
167 N8aedcde7708444cbb7463da5e1ef7f59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Risk Factors
169 rdf:type schema:DefinedTerm
170 N8f43958ec238464a939483667ca3c067 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Cardiac Resynchronization Therapy
172 rdf:type schema:DefinedTerm
173 Na5c1028b14f444d294d5651bc85b6d69 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Ventricular Function, Right
175 rdf:type schema:DefinedTerm
176 Na8d72792d5fa4a2c893c172e6f9286ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Aged, 80 and over
178 rdf:type schema:DefinedTerm
179 Nab8a28d02b214543848174a9df37efff rdf:first Nc9718250e8f747b180e4917f2641146b
180 rdf:rest N85b991cf208c4ce9b70b402d36963174
181 Nae41f6663c1a45769560feaf39318925 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Myocardial Contraction
183 rdf:type schema:DefinedTerm
184 Nb2e24f3e3d1c4c55973978af90b366f7 rdf:first sg:person.012456000422.88
185 rdf:rest Nab8a28d02b214543848174a9df37efff
186 Nc9718250e8f747b180e4917f2641146b schema:affiliation grid-institutes:None
187 schema:familyName Iwamura
188 schema:givenName Takashi
189 rdf:type schema:Person
190 Ncdeb834bf5ae45e48d42cd7974515459 schema:name doi
191 schema:value 10.1007/s00380-020-01577-1
192 rdf:type schema:PropertyValue
193 Ncfce3cce5c6140a88eceb538e45a09f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Recovery of Function
195 rdf:type schema:DefinedTerm
196 Nd36dca4d55064a949804bf94284ee446 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Patient Selection
198 rdf:type schema:DefinedTerm
199 Nd8e25772395242ee9c5ded93899680cb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
200 schema:name Decision Support Techniques
201 rdf:type schema:DefinedTerm
202 Nda2851a4ed8f462b9456e5ba948d6567 rdf:first sg:person.01163254214.58
203 rdf:rest N3ce896168ba047fe8a1d57f79535695f
204 Ndc88f764ea85415d9eb475680972e1e4 rdf:first sg:person.01302200427.58
205 rdf:rest Nb2e24f3e3d1c4c55973978af90b366f7
206 Ne115345de48d4688a0d922cf1097df65 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
207 schema:name Male
208 rdf:type schema:DefinedTerm
209 Nea133ea15d084f75a65e1b9dc6eced0f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
210 schema:name Models, Cardiovascular
211 rdf:type schema:DefinedTerm
212 Nf0bbe6a1e7df494e8a4e7caccb60c464 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
213 schema:name Risk Assessment
214 rdf:type schema:DefinedTerm
215 Nf3a7e3df1d9a4defa119b80b9dc49a4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
216 schema:name Female
217 rdf:type schema:DefinedTerm
218 Nfafe0b93aaee469ba578c7a075572a16 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
219 schema:name Patient-Specific Modeling
220 rdf:type schema:DefinedTerm
221 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
222 schema:name Medical and Health Sciences
223 rdf:type schema:DefinedTerm
224 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
225 schema:name Cardiorespiratory Medicine and Haematology
226 rdf:type schema:DefinedTerm
227 sg:journal.1095887 schema:issn 0910-8327
228 1615-2573
229 schema:name Heart and Vessels
230 schema:publisher Springer Nature
231 rdf:type schema:Periodical
232 sg:person.01014341104.13 schema:affiliation grid-institutes:grid.415432.5
233 schema:familyName Ando
234 schema:givenName Kenji
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01014341104.13
236 rdf:type schema:Person
237 sg:person.01163254214.58 schema:affiliation grid-institutes:None
238 schema:familyName Washio
239 schema:givenName Takumi
240 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163254214.58
241 rdf:type schema:Person
242 sg:person.01220732456.98 schema:affiliation grid-institutes:None
243 schema:familyName Okada
244 schema:givenName Jun-ichi
245 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220732456.98
246 rdf:type schema:Person
247 sg:person.01231367414.61 schema:affiliation grid-institutes:None
248 schema:familyName Hisada
249 schema:givenName Toshiaki
250 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231367414.61
251 rdf:type schema:Person
252 sg:person.012456000422.88 schema:affiliation grid-institutes:None
253 schema:familyName Yoneda
254 schema:givenName Kazunori
255 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012456000422.88
256 rdf:type schema:Person
257 sg:person.01277502614.69 schema:affiliation grid-institutes:None
258 schema:familyName Sugiura
259 schema:givenName Seiryo
260 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277502614.69
261 rdf:type schema:Person
262 sg:person.01302200427.58 schema:affiliation grid-institutes:grid.415432.5
263 schema:familyName Isotani
264 schema:givenName Akihiro
265 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302200427.58
266 rdf:type schema:Person
267 sg:person.013200237717.47 schema:affiliation grid-institutes:None
268 schema:familyName Watanabe
269 schema:givenName Masahiro
270 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013200237717.47
271 rdf:type schema:Person
272 sg:pub.10.1007/bf00586897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040418280
273 https://doi.org/10.1007/bf00586897
274 rdf:type schema:CreativeWork
275 sg:pub.10.1007/s10439-006-9212-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023446162
276 https://doi.org/10.1007/s10439-006-9212-7
277 rdf:type schema:CreativeWork
278 sg:pub.10.1007/s11517-013-1044-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029121173
279 https://doi.org/10.1007/s11517-013-1044-7
280 rdf:type schema:CreativeWork
281 sg:pub.10.1007/s12195-011-0219-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008451149
282 https://doi.org/10.1007/s12195-011-0219-2
283 rdf:type schema:CreativeWork
284 sg:pub.10.1007/s12265-017-9779-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100317921
285 https://doi.org/10.1007/s12265-017-9779-4
286 rdf:type schema:CreativeWork
287 sg:pub.10.1038/nrcardio.2014.67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009501331
288 https://doi.org/10.1038/nrcardio.2014.67
289 rdf:type schema:CreativeWork
290 grid-institutes:None schema:alternateName Future Center #304, Wakashiba 178-4-4, Kashiwa, Chiba 277-0871 Japan
291 Healthcare System Unit, Fujitsu Ltd, Ota-ku, Kamata, 144-8588 Japan
292 UT-Heart Inc. Nozawa, 3-25-8, Setagaya, Tokyo 154-0003 Japan
293 schema:name Future Center #304, Wakashiba 178-4-4, Kashiwa, Chiba 277-0871 Japan
294 Future Center Initiative, The University of Tokyo, Wakashiba 178-4-4, Kashiwa, Chiba 277-0871 Japan
295 Healthcare System Unit, Fujitsu Ltd, Ota-ku, Kamata, 144-8588 Japan
296 UT-Heart Inc. Nozawa, 3-25-8, Setagaya, Tokyo 154-0003 Japan
297 rdf:type schema:Organization
298 grid-institutes:grid.415432.5 schema:alternateName Department of Cardiovascular Medicine, Kokura Memorial Hospital, Asano 3-2-1, Kokurakita-ku, Kitakyushu, Fukuoka 802-8555 Japan
299 schema:name Department of Cardiovascular Medicine, Kokura Memorial Hospital, Asano 3-2-1, Kokurakita-ku, Kitakyushu, Fukuoka 802-8555 Japan
300 rdf:type schema:Organization
 




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


...