Feasibility of Intraoperative Navigation for Liver Resection Using Real-time Virtual Sonography With Novel Automatic Registration System View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-09-06

AUTHORS

Takeshi Takamoto, Yoshihiro Mise, Shouichi Satou, Yuta Kobayashi, Koui Miura, Akio Saiura, Kiyoshi Hasegawa, Norihiro Kokudo, Masatoshi Makuuchi

ABSTRACT

BackgroundThe clinical feasibility and usability of intraoperative ultrasonography (IOUS) tracked by computed tomography (CT) images have been proposed; however, it requires technically demanding manual registration procedure.Study designA prospective study using real-time virtual sonography (RVS) with novel automatic registration system was conducted in four high-volume centers of liver resection from 2015 to 2016. The requiring time for registration of IOUS and CT images and positional error of confluence of middle hepatic venous tributaries (V8-MHV, V5-MHV) were measured in patients undergoing laparotomy.ResultsAutomatic registration was successful in 43 of 52 enrolled patients (83%), with error ranges of 11.4 (3.1–69.4) mm for V8-MHV and 16.2 (4.3–66.8) mm for V5-MHV. Time required for total registration process was 36 (27–74) s.ConclusionsThe RVS with novel automatic registration system can provide quick and easy registration and acceptable accuracy, which can promote the usage of IOUS. More... »

PAGES

841-848

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00268-017-4210-5

DOI

http://dx.doi.org/10.1007/s00268-017-4210-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091498163

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28879512


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "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": "Computer Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feasibility Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hepatectomy", 
        "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": "Outcome Assessment, Health Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surgery, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ultrasonography, Interventional", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Virtual Reality", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Divisions of Hepato-Biliary-Pancreatic Surgery and Liver Transplantation, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, 150-8935, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.414929.3", 
          "name": [
            "Divisions of Hepato-Biliary-Pancreatic Surgery and Liver Transplantation, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, 150-8935, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takamoto", 
        "givenName": "Takeshi", 
        "id": "sg:person.01000442057.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000442057.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Gastroenterological Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Ariake Hospital, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Gastroenterological Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Ariake Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mise", 
        "givenName": "Yoshihiro", 
        "id": "sg:person.0626665021.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626665021.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, NTT Medical Center Tokyo, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.414992.3", 
          "name": [
            "Department of Surgery, NTT Medical Center Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Satou", 
        "givenName": "Shouichi", 
        "id": "sg:person.0637447533.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637447533.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Divisions of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Divisions of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kobayashi", 
        "givenName": "Yuta", 
        "id": "sg:person.015227472663.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015227472663.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Image-Based Medicine, Institute of Biomedical Research and Innovation, Kobe, Hyogo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.417982.1", 
          "name": [
            "Department of Image-Based Medicine, Institute of Biomedical Research and Innovation, Kobe, Hyogo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miura", 
        "givenName": "Koui", 
        "id": "sg:person.01024025546.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024025546.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Gastroenterological Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Ariake Hospital, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.486756.e", 
          "name": [
            "Department of Gastroenterological Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Ariake Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saiura", 
        "givenName": "Akio", 
        "id": "sg:person.0612301703.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612301703.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Divisions of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Divisions of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hasegawa", 
        "givenName": "Kiyoshi", 
        "id": "sg:person.01065410232.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065410232.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Divisions of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Divisions of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kokudo", 
        "givenName": "Norihiro", 
        "id": "sg:person.0735351167.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735351167.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Divisions of Hepato-Biliary-Pancreatic Surgery and Liver Transplantation, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, 150-8935, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.414929.3", 
          "name": [
            "Divisions of Hepato-Biliary-Pancreatic Surgery and Liver Transplantation, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, 150-8935, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Makuuchi", 
        "givenName": "Masatoshi", 
        "id": "sg:person.01133222703.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133222703.98"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2017-09-06", 
    "datePublishedReg": "2017-09-06", 
    "description": "BackgroundThe clinical feasibility and usability of intraoperative ultrasonography (IOUS) tracked by computed tomography (CT) images have been proposed; however, it requires technically demanding manual registration procedure.Study designA prospective study using real-time virtual sonography (RVS) with novel automatic registration system was conducted in four high-volume centers of liver resection from 2015 to 2016. The requiring time for registration of IOUS and CT images and positional error of confluence of middle hepatic venous tributaries (V8-MHV, V5-MHV) were measured in patients undergoing laparotomy.ResultsAutomatic registration was successful in 43 of 52 enrolled patients (83%), with error ranges of 11.4 (3.1\u201369.4) mm for V8-MHV and 16.2 (4.3\u201366.8) mm for V5-MHV. Time required for total registration process was 36 (27\u201374) s.ConclusionsThe RVS with novel automatic registration system can provide quick and easy registration and acceptable accuracy, which can promote the usage of IOUS.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00268-017-4210-5", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1086446", 
        "issn": [
          "0364-2313", 
          "1432-2323"
        ], 
        "name": "World Journal of Surgery", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "42"
      }
    ], 
    "keywords": [
      "automatic registration system", 
      "real-time virtual sonography", 
      "manual registration procedure", 
      "virtual sonography", 
      "intraoperative ultrasonography", 
      "liver resection", 
      "registration process", 
      "hepatic venous tributaries", 
      "high-volume centers", 
      "computed tomography images", 
      "intraoperative navigation", 
      "easy registration", 
      "designA prospective study", 
      "registration procedure", 
      "prospective study", 
      "registration system", 
      "venous tributaries", 
      "CT images", 
      "positional error", 
      "registration", 
      "clinical feasibility", 
      "images", 
      "acceptable accuracy", 
      "tomography images", 
      "resection", 
      "usability", 
      "patients", 
      "sonography", 
      "navigation", 
      "system", 
      "error range", 
      "feasibility", 
      "usage", 
      "accuracy", 
      "laparotomy", 
      "ultrasonography", 
      "error", 
      "time", 
      "center", 
      "study", 
      "process", 
      "procedure", 
      "confluence", 
      "range", 
      "tributaries"
    ], 
    "name": "Feasibility of Intraoperative Navigation for Liver Resection Using Real-time Virtual Sonography With Novel Automatic Registration System", 
    "pagination": "841-848", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091498163"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00268-017-4210-5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28879512"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00268-017-4210-5", 
      "https://app.dimensions.ai/details/publication/pub.1091498163"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_738.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00268-017-4210-5"
  }
]
 

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/s00268-017-4210-5'

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/s00268-017-4210-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00268-017-4210-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00268-017-4210-5'


 

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

242 TRIPLES      20 PREDICATES      87 URIs      79 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00268-017-4210-5 schema:about N032e39960d184d96b76aaf84ab73a6d8
2 N08c7e86bc1484c44bd4342452d6ff8c0
3 N2cd7961318cf42c3af19d882501474c0
4 N3b58617752714075b9c7d08fb4d4ef8b
5 N47691dd975b2459db403bbb209baeadb
6 N5fe1fb5126e440a08477e324faf09d34
7 N8274957c5cf64c7da2c039a547f3324e
8 N92db94e8beea4c519b2de4832fa7bd9c
9 N9fd4c039327f4e00a051fea9352f3ec5
10 Na91f63ffc44f4d648dce551cc40bb259
11 Nbff009c50ec94df899ae9cf6aac857b0
12 Nd304ecf0b2344e39b692d6f1ea18dc19
13 Nd68df66c62bf4c48b3de9df328e2ac25
14 Ne9eff02033e14c25a9a88cb22b6aa023
15 Nea21b867277a4c25b610a5d0473f2348
16 Nf56505652e724ebbb828c35746d3c959
17 Nfeaeb7cd0e1d44d19a4e00df117012ed
18 anzsrc-for:11
19 anzsrc-for:1103
20 schema:author Ndac1f0edc5894527824bed38e5f8cedb
21 schema:datePublished 2017-09-06
22 schema:datePublishedReg 2017-09-06
23 schema:description BackgroundThe clinical feasibility and usability of intraoperative ultrasonography (IOUS) tracked by computed tomography (CT) images have been proposed; however, it requires technically demanding manual registration procedure.Study designA prospective study using real-time virtual sonography (RVS) with novel automatic registration system was conducted in four high-volume centers of liver resection from 2015 to 2016. The requiring time for registration of IOUS and CT images and positional error of confluence of middle hepatic venous tributaries (V8-MHV, V5-MHV) were measured in patients undergoing laparotomy.ResultsAutomatic registration was successful in 43 of 52 enrolled patients (83%), with error ranges of 11.4 (3.1–69.4) mm for V8-MHV and 16.2 (4.3–66.8) mm for V5-MHV. Time required for total registration process was 36 (27–74) s.ConclusionsThe RVS with novel automatic registration system can provide quick and easy registration and acceptable accuracy, which can promote the usage of IOUS.
24 schema:genre article
25 schema:isAccessibleForFree false
26 schema:isPartOf N4624c19449cf4fcea2d2be1116260fc2
27 N906c30b077a740b28d430b6d4b8c567e
28 sg:journal.1086446
29 schema:keywords CT images
30 acceptable accuracy
31 accuracy
32 automatic registration system
33 center
34 clinical feasibility
35 computed tomography images
36 confluence
37 designA prospective study
38 easy registration
39 error
40 error range
41 feasibility
42 hepatic venous tributaries
43 high-volume centers
44 images
45 intraoperative navigation
46 intraoperative ultrasonography
47 laparotomy
48 liver resection
49 manual registration procedure
50 navigation
51 patients
52 positional error
53 procedure
54 process
55 prospective study
56 range
57 real-time virtual sonography
58 registration
59 registration procedure
60 registration process
61 registration system
62 resection
63 sonography
64 study
65 system
66 time
67 tomography images
68 tributaries
69 ultrasonography
70 usability
71 usage
72 venous tributaries
73 virtual sonography
74 schema:name Feasibility of Intraoperative Navigation for Liver Resection Using Real-time Virtual Sonography With Novel Automatic Registration System
75 schema:pagination 841-848
76 schema:productId N2a77d3a3a0814cf9a5287555d8022742
77 N47d88fcf1c0f46b5880597a1688da304
78 N7836fb786c4040388fe9a458abf2dce0
79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091498163
80 https://doi.org/10.1007/s00268-017-4210-5
81 schema:sdDatePublished 2022-09-02T16:01
82 schema:sdLicense https://scigraph.springernature.com/explorer/license/
83 schema:sdPublisher Ne820f4af07a343dea1b21fb88051c506
84 schema:url https://doi.org/10.1007/s00268-017-4210-5
85 sgo:license sg:explorer/license/
86 sgo:sdDataset articles
87 rdf:type schema:ScholarlyArticle
88 N032e39960d184d96b76aaf84ab73a6d8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Humans
90 rdf:type schema:DefinedTerm
91 N04abbf8b9dcc43ae81ccb3eb32037d9b rdf:first sg:person.01065410232.04
92 rdf:rest Nbe0474f462624041935175c41818d662
93 N07e225bed4e14b4e9046eefed166a8aa rdf:first sg:person.015227472663.55
94 rdf:rest N07eb19235a3c4ae099d320832ef3ba20
95 N07eb19235a3c4ae099d320832ef3ba20 rdf:first sg:person.01024025546.39
96 rdf:rest Nceef620b307b417caf174d8f4768049c
97 N08c7e86bc1484c44bd4342452d6ff8c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Aged
99 rdf:type schema:DefinedTerm
100 N108b9866cc4949f8b8851cf089b4601e rdf:first sg:person.01133222703.98
101 rdf:rest rdf:nil
102 N2a77d3a3a0814cf9a5287555d8022742 schema:name doi
103 schema:value 10.1007/s00268-017-4210-5
104 rdf:type schema:PropertyValue
105 N2cd7961318cf42c3af19d882501474c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Hepatectomy
107 rdf:type schema:DefinedTerm
108 N3b58617752714075b9c7d08fb4d4ef8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Female
110 rdf:type schema:DefinedTerm
111 N4624c19449cf4fcea2d2be1116260fc2 schema:issueNumber 3
112 rdf:type schema:PublicationIssue
113 N47691dd975b2459db403bbb209baeadb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Middle Aged
115 rdf:type schema:DefinedTerm
116 N47d88fcf1c0f46b5880597a1688da304 schema:name pubmed_id
117 schema:value 28879512
118 rdf:type schema:PropertyValue
119 N586e491b019d42cb96b55a7a8811f3ae rdf:first sg:person.0626665021.66
120 rdf:rest N6395cc983c804deeba11907366632cd1
121 N5fe1fb5126e440a08477e324faf09d34 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Outcome Assessment, Health Care
123 rdf:type schema:DefinedTerm
124 N6395cc983c804deeba11907366632cd1 rdf:first sg:person.0637447533.36
125 rdf:rest N07e225bed4e14b4e9046eefed166a8aa
126 N7836fb786c4040388fe9a458abf2dce0 schema:name dimensions_id
127 schema:value pub.1091498163
128 rdf:type schema:PropertyValue
129 N8274957c5cf64c7da2c039a547f3324e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Adult
131 rdf:type schema:DefinedTerm
132 N906c30b077a740b28d430b6d4b8c567e schema:volumeNumber 42
133 rdf:type schema:PublicationVolume
134 N92db94e8beea4c519b2de4832fa7bd9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Virtual Reality
136 rdf:type schema:DefinedTerm
137 N9fd4c039327f4e00a051fea9352f3ec5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Tomography, X-Ray Computed
139 rdf:type schema:DefinedTerm
140 Na91f63ffc44f4d648dce551cc40bb259 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Male
142 rdf:type schema:DefinedTerm
143 Nbe0474f462624041935175c41818d662 rdf:first sg:person.0735351167.82
144 rdf:rest N108b9866cc4949f8b8851cf089b4601e
145 Nbff009c50ec94df899ae9cf6aac857b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Aged, 80 and over
147 rdf:type schema:DefinedTerm
148 Nceef620b307b417caf174d8f4768049c rdf:first sg:person.0612301703.87
149 rdf:rest N04abbf8b9dcc43ae81ccb3eb32037d9b
150 Nd304ecf0b2344e39b692d6f1ea18dc19 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Feasibility Studies
152 rdf:type schema:DefinedTerm
153 Nd68df66c62bf4c48b3de9df328e2ac25 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Ultrasonography, Interventional
155 rdf:type schema:DefinedTerm
156 Ndac1f0edc5894527824bed38e5f8cedb rdf:first sg:person.01000442057.93
157 rdf:rest N586e491b019d42cb96b55a7a8811f3ae
158 Ne820f4af07a343dea1b21fb88051c506 schema:name Springer Nature - SN SciGraph project
159 rdf:type schema:Organization
160 Ne9eff02033e14c25a9a88cb22b6aa023 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Surgery, Computer-Assisted
162 rdf:type schema:DefinedTerm
163 Nea21b867277a4c25b610a5d0473f2348 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Prospective Studies
165 rdf:type schema:DefinedTerm
166 Nf56505652e724ebbb828c35746d3c959 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Computer Systems
168 rdf:type schema:DefinedTerm
169 Nfeaeb7cd0e1d44d19a4e00df117012ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Reproducibility of Results
171 rdf:type schema:DefinedTerm
172 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
173 schema:name Medical and Health Sciences
174 rdf:type schema:DefinedTerm
175 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
176 schema:name Clinical Sciences
177 rdf:type schema:DefinedTerm
178 sg:journal.1086446 schema:issn 0364-2313
179 1432-2323
180 schema:name World Journal of Surgery
181 schema:publisher Springer Nature
182 rdf:type schema:Periodical
183 sg:person.01000442057.93 schema:affiliation grid-institutes:grid.414929.3
184 schema:familyName Takamoto
185 schema:givenName Takeshi
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000442057.93
187 rdf:type schema:Person
188 sg:person.01024025546.39 schema:affiliation grid-institutes:grid.417982.1
189 schema:familyName Miura
190 schema:givenName Koui
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024025546.39
192 rdf:type schema:Person
193 sg:person.01065410232.04 schema:affiliation grid-institutes:grid.26999.3d
194 schema:familyName Hasegawa
195 schema:givenName Kiyoshi
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065410232.04
197 rdf:type schema:Person
198 sg:person.01133222703.98 schema:affiliation grid-institutes:grid.414929.3
199 schema:familyName Makuuchi
200 schema:givenName Masatoshi
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133222703.98
202 rdf:type schema:Person
203 sg:person.015227472663.55 schema:affiliation grid-institutes:grid.26999.3d
204 schema:familyName Kobayashi
205 schema:givenName Yuta
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015227472663.55
207 rdf:type schema:Person
208 sg:person.0612301703.87 schema:affiliation grid-institutes:grid.486756.e
209 schema:familyName Saiura
210 schema:givenName Akio
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612301703.87
212 rdf:type schema:Person
213 sg:person.0626665021.66 schema:affiliation grid-institutes:grid.486756.e
214 schema:familyName Mise
215 schema:givenName Yoshihiro
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626665021.66
217 rdf:type schema:Person
218 sg:person.0637447533.36 schema:affiliation grid-institutes:grid.414992.3
219 schema:familyName Satou
220 schema:givenName Shouichi
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637447533.36
222 rdf:type schema:Person
223 sg:person.0735351167.82 schema:affiliation grid-institutes:grid.26999.3d
224 schema:familyName Kokudo
225 schema:givenName Norihiro
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735351167.82
227 rdf:type schema:Person
228 grid-institutes:grid.26999.3d schema:alternateName Divisions of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
229 schema:name Divisions of Hepato-Biliary-Pancreatic Surgery, Department of Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
230 rdf:type schema:Organization
231 grid-institutes:grid.414929.3 schema:alternateName Divisions of Hepato-Biliary-Pancreatic Surgery and Liver Transplantation, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, 150-8935, Tokyo, Japan
232 schema:name Divisions of Hepato-Biliary-Pancreatic Surgery and Liver Transplantation, Japanese Red Cross Medical Center, 4-1-22 Hiroo, Shibuya-ku, 150-8935, Tokyo, Japan
233 rdf:type schema:Organization
234 grid-institutes:grid.414992.3 schema:alternateName Department of Surgery, NTT Medical Center Tokyo, Tokyo, Japan
235 schema:name Department of Surgery, NTT Medical Center Tokyo, Tokyo, Japan
236 rdf:type schema:Organization
237 grid-institutes:grid.417982.1 schema:alternateName Department of Image-Based Medicine, Institute of Biomedical Research and Innovation, Kobe, Hyogo, Japan
238 schema:name Department of Image-Based Medicine, Institute of Biomedical Research and Innovation, Kobe, Hyogo, Japan
239 rdf:type schema:Organization
240 grid-institutes:grid.486756.e schema:alternateName Department of Gastroenterological Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Ariake Hospital, Tokyo, Japan
241 schema:name Department of Gastroenterological Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Ariake Hospital, Tokyo, Japan
242 rdf:type schema:Organization
 




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


...