Quantitative evaluation of 3D imaging in laparoscopic surgery View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-04

AUTHORS

Rie Matsunaga, Yuji Nishizawa, Norio Saito, Akihiro Kobayashi, Takeshi Ohdaira, Masaaki Ito

ABSTRACT

PURPOSE: 3D images offer true depth perception, which overcomes one of the disadvantages of laparoscopic surgery. We evaluated differences in the use of 3D and 2D images in laparoscopic surgery based on the recording of traces of forceps. METHODS: Twelve surgeons at our hospital participated in the study. The task consisted of one suture and three ligations, using a training box. The completion time and number of hold errors were noted, and forceps traces were recorded using the Behavior Checker system (Miura Medical). Participants were divided into two groups based on faster and slower completion times with 2D images. RESULTS: The median completion time in seconds (s) was significantly shorter when using 3D images than when using 2D images (51 s, range 34-146 vs. 63 s, range 38-265 s; p = 0.013). The 3D/2D completion time ratio was significantly higher in the faster 2D group (0.93 vs. 0.69, p = 0.030) indicating a greater effect of the 3D images on less experienced participants. CONCLUSIONS: A quantitative evaluation showed that using 3D images enables more efficient use of laparoscopic forceps than 2D images. A system with 3D images is of particular benefit for inexperienced surgeons. More... »

PAGES

440-444

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00595-016-1428-z

DOI

http://dx.doi.org/10.1007/s00595-016-1428-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1023613798

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27757546


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Imaging, Three-Dimensional", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Laparoscopy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surgery, Computer-Assisted", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Cancer Centre", 
          "id": "https://www.grid.ac/institutes/grid.272242.3", 
          "name": [
            "Colorectal and Pelvic Surgery Division, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa-shi, 277-8577, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsunaga", 
        "givenName": "Rie", 
        "id": "sg:person.014357764535.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014357764535.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Centre", 
          "id": "https://www.grid.ac/institutes/grid.272242.3", 
          "name": [
            "Colorectal and Pelvic Surgery Division, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa-shi, 277-8577, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishizawa", 
        "givenName": "Yuji", 
        "id": "sg:person.01026265613.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026265613.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Centre", 
          "id": "https://www.grid.ac/institutes/grid.272242.3", 
          "name": [
            "Colorectal and Pelvic Surgery Division, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa-shi, 277-8577, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saito", 
        "givenName": "Norio", 
        "id": "sg:person.01100314172.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100314172.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Centre", 
          "id": "https://www.grid.ac/institutes/grid.272242.3", 
          "name": [
            "Colorectal and Pelvic Surgery Division, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa-shi, 277-8577, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kobayashi", 
        "givenName": "Akihiro", 
        "id": "sg:person.0611475774.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611475774.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Center for Advanced Medical Initiatives, Kyushu University, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ohdaira", 
        "givenName": "Takeshi", 
        "id": "sg:person.0637243630.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637243630.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Cancer Centre", 
          "id": "https://www.grid.ac/institutes/grid.272242.3", 
          "name": [
            "Colorectal and Pelvic Surgery Division, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa-shi, 277-8577, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ito", 
        "givenName": "Masaaki", 
        "id": "sg:person.011006743562.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011006743562.77"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.urology.2013.07.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005583943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jsurg.2010.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007161815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3862/jcoloproctology.66.982", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011269760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00464-014-3487-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013045173", 
          "https://doi.org/10.1007/s00464-014-3487-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0000000000000596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020499422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0000000000000596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020499422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0000000000000596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020499422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1758-5910.2009.00004.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023354114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00595-015-1236-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025228864", 
          "https://doi.org/10.1007/s00595-015-1236-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00595-015-1236-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025228864", 
          "https://doi.org/10.1007/s00595-015-1236-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00595-015-1236-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025228864", 
          "https://doi.org/10.1007/s00595-015-1236-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10350-008-9352-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032667284", 
          "https://doi.org/10.1007/s10350-008-9352-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s10350-008-9352-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032667284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00595-015-1157-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033685241", 
          "https://doi.org/10.1007/s00595-015-1157-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00464-014-3681-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035798074", 
          "https://doi.org/10.1007/s00464-014-3681-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.4407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036750874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1463-1318.2012.02985.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043183475"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00268-014-2674-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044731114", 
          "https://doi.org/10.1007/s00268-014-2674-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00595-015-1145-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045694874", 
          "https://doi.org/10.1007/s00595-015-1145-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3862/jcoloproctology.66.971", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049735847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11605-011-1547-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050653680", 
          "https://doi.org/10.1007/s11605-011-1547-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/end.2007.0241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059257694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/lap.2012.0220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059294163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5759/jscas.16.51", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073105303"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-04", 
    "datePublishedReg": "2017-04-01", 
    "description": "PURPOSE: 3D images offer true depth perception, which overcomes one of the disadvantages of laparoscopic surgery. We evaluated differences in the use of 3D and 2D images in laparoscopic surgery based on the recording of traces of forceps.\nMETHODS: Twelve surgeons at our hospital participated in the study. The task consisted of one suture and three ligations, using a training box. The completion time and number of hold errors were noted, and forceps traces were recorded using the Behavior Checker system (Miura Medical). Participants were divided into two groups based on faster and slower completion times with 2D images.\nRESULTS: The median completion time in seconds (s) was significantly shorter when using 3D images than when using 2D images (51\u00a0s, range 34-146 vs. 63\u00a0s, range 38-265\u00a0s; p\u00a0=\u00a00.013). The 3D/2D completion time ratio was significantly higher in the faster 2D group (0.93 vs. 0.69, p\u00a0=\u00a00.030) indicating a greater effect of the 3D images on less experienced participants.\nCONCLUSIONS: A quantitative evaluation showed that using 3D images enables more efficient use of laparoscopic forceps than 2D images. A system with 3D images is of particular benefit for inexperienced surgeons.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00595-016-1428-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6149567", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1102161", 
        "issn": [
          "0941-1291", 
          "1436-2813"
        ], 
        "name": "Surgery Today", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "47"
      }
    ], 
    "name": "Quantitative evaluation of 3D imaging in laparoscopic surgery", 
    "pagination": "440-444", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7080b8d735dead2438a7b77cb18c58fd083648ceb5ad54dca776d6b58d9958dc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27757546"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9204360"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00595-016-1428-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1023613798"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00595-016-1428-z", 
      "https://app.dimensions.ai/details/publication/pub.1023613798"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:21", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000362_0000000362/records_87079_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00595-016-1428-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00595-016-1428-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00595-016-1428-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00595-016-1428-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00595-016-1428-z'


 

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

189 TRIPLES      21 PREDICATES      52 URIs      24 LITERALS      12 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00595-016-1428-z schema:about Nab215ce6eea749b4b75ca6fe9203d3d4
2 Nc8f953045fab4dcca4e637bae4273c78
3 Nd552a24bbe6546cab8a5f2ddba29ce3c
4 anzsrc-for:17
5 anzsrc-for:1701
6 schema:author Nb14ccf4a2e4148dd8606ff60632b4789
7 schema:citation sg:pub.10.1007/s00268-014-2674-0
8 sg:pub.10.1007/s00464-014-3487-9
9 sg:pub.10.1007/s00464-014-3681-9
10 sg:pub.10.1007/s00595-015-1145-z
11 sg:pub.10.1007/s00595-015-1157-8
12 sg:pub.10.1007/s00595-015-1236-x
13 sg:pub.10.1007/s10350-008-9352-y
14 sg:pub.10.1007/s11605-011-1547-1
15 https://doi.org/10.1002/bjs.4407
16 https://doi.org/10.1007/s10350-008-9352-y
17 https://doi.org/10.1016/j.jsurg.2010.11.005
18 https://doi.org/10.1016/j.urology.2013.07.047
19 https://doi.org/10.1089/end.2007.0241
20 https://doi.org/10.1089/lap.2012.0220
21 https://doi.org/10.1097/sla.0000000000000596
22 https://doi.org/10.1111/j.1463-1318.2012.02985.x
23 https://doi.org/10.1111/j.1758-5910.2009.00004.x
24 https://doi.org/10.3862/jcoloproctology.66.971
25 https://doi.org/10.3862/jcoloproctology.66.982
26 https://doi.org/10.5759/jscas.16.51
27 schema:datePublished 2017-04
28 schema:datePublishedReg 2017-04-01
29 schema:description PURPOSE: 3D images offer true depth perception, which overcomes one of the disadvantages of laparoscopic surgery. We evaluated differences in the use of 3D and 2D images in laparoscopic surgery based on the recording of traces of forceps. METHODS: Twelve surgeons at our hospital participated in the study. The task consisted of one suture and three ligations, using a training box. The completion time and number of hold errors were noted, and forceps traces were recorded using the Behavior Checker system (Miura Medical). Participants were divided into two groups based on faster and slower completion times with 2D images. RESULTS: The median completion time in seconds (s) was significantly shorter when using 3D images than when using 2D images (51 s, range 34-146 vs. 63 s, range 38-265 s; p = 0.013). The 3D/2D completion time ratio was significantly higher in the faster 2D group (0.93 vs. 0.69, p = 0.030) indicating a greater effect of the 3D images on less experienced participants. CONCLUSIONS: A quantitative evaluation showed that using 3D images enables more efficient use of laparoscopic forceps than 2D images. A system with 3D images is of particular benefit for inexperienced surgeons.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree false
33 schema:isPartOf N1074d8c4b01b403aaa933a293346fd4e
34 N96e44736f2d14dfb97d7151864552fcc
35 sg:journal.1102161
36 schema:name Quantitative evaluation of 3D imaging in laparoscopic surgery
37 schema:pagination 440-444
38 schema:productId N379f9f8b072d466a905616ab6eb95a71
39 N69f07e37b51140679b47361d80dca74e
40 N8f15aa9793d4448f8ab020d21be2e90d
41 N9500dfc04d7e4064a462e0cfc2f37a15
42 Nd3b4261d3b4a45069a77c66a881f3193
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023613798
44 https://doi.org/10.1007/s00595-016-1428-z
45 schema:sdDatePublished 2019-04-11T12:21
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N6676864ec8414550bd15c1cbd140b62f
48 schema:url https://link.springer.com/10.1007%2Fs00595-016-1428-z
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N1074d8c4b01b403aaa933a293346fd4e schema:volumeNumber 47
53 rdf:type schema:PublicationVolume
54 N379f9f8b072d466a905616ab6eb95a71 schema:name nlm_unique_id
55 schema:value 9204360
56 rdf:type schema:PropertyValue
57 N3efae696be34417bb713e16d2cc44668 rdf:first sg:person.011006743562.77
58 rdf:rest rdf:nil
59 N6676864ec8414550bd15c1cbd140b62f schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 N69f07e37b51140679b47361d80dca74e schema:name dimensions_id
62 schema:value pub.1023613798
63 rdf:type schema:PropertyValue
64 N8f15aa9793d4448f8ab020d21be2e90d schema:name doi
65 schema:value 10.1007/s00595-016-1428-z
66 rdf:type schema:PropertyValue
67 N9500dfc04d7e4064a462e0cfc2f37a15 schema:name pubmed_id
68 schema:value 27757546
69 rdf:type schema:PropertyValue
70 N96e44736f2d14dfb97d7151864552fcc schema:issueNumber 4
71 rdf:type schema:PublicationIssue
72 Na06c4b706d5044959657a8a17d7699ab rdf:first sg:person.0637243630.51
73 rdf:rest N3efae696be34417bb713e16d2cc44668
74 Nab215ce6eea749b4b75ca6fe9203d3d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Surgery, Computer-Assisted
76 rdf:type schema:DefinedTerm
77 Nae0cb8886a184ee882e8b5925bd0a95c rdf:first sg:person.01026265613.02
78 rdf:rest Nd8d15e1d1df84f2291fbfb9349012722
79 Nb14ccf4a2e4148dd8606ff60632b4789 rdf:first sg:person.014357764535.56
80 rdf:rest Nae0cb8886a184ee882e8b5925bd0a95c
81 Nc8f953045fab4dcca4e637bae4273c78 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Imaging, Three-Dimensional
83 rdf:type schema:DefinedTerm
84 Nca7dd4d486ff4ecb86c1c0705ddab0c8 rdf:first sg:person.0611475774.31
85 rdf:rest Na06c4b706d5044959657a8a17d7699ab
86 Nd3b4261d3b4a45069a77c66a881f3193 schema:name readcube_id
87 schema:value 7080b8d735dead2438a7b77cb18c58fd083648ceb5ad54dca776d6b58d9958dc
88 rdf:type schema:PropertyValue
89 Nd552a24bbe6546cab8a5f2ddba29ce3c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Laparoscopy
91 rdf:type schema:DefinedTerm
92 Nd8d15e1d1df84f2291fbfb9349012722 rdf:first sg:person.01100314172.30
93 rdf:rest Nca7dd4d486ff4ecb86c1c0705ddab0c8
94 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
95 schema:name Psychology and Cognitive Sciences
96 rdf:type schema:DefinedTerm
97 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
98 schema:name Psychology
99 rdf:type schema:DefinedTerm
100 sg:grant.6149567 http://pending.schema.org/fundedItem sg:pub.10.1007/s00595-016-1428-z
101 rdf:type schema:MonetaryGrant
102 sg:journal.1102161 schema:issn 0941-1291
103 1436-2813
104 schema:name Surgery Today
105 rdf:type schema:Periodical
106 sg:person.01026265613.02 schema:affiliation https://www.grid.ac/institutes/grid.272242.3
107 schema:familyName Nishizawa
108 schema:givenName Yuji
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026265613.02
110 rdf:type schema:Person
111 sg:person.01100314172.30 schema:affiliation https://www.grid.ac/institutes/grid.272242.3
112 schema:familyName Saito
113 schema:givenName Norio
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100314172.30
115 rdf:type schema:Person
116 sg:person.011006743562.77 schema:affiliation https://www.grid.ac/institutes/grid.272242.3
117 schema:familyName Ito
118 schema:givenName Masaaki
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011006743562.77
120 rdf:type schema:Person
121 sg:person.014357764535.56 schema:affiliation https://www.grid.ac/institutes/grid.272242.3
122 schema:familyName Matsunaga
123 schema:givenName Rie
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014357764535.56
125 rdf:type schema:Person
126 sg:person.0611475774.31 schema:affiliation https://www.grid.ac/institutes/grid.272242.3
127 schema:familyName Kobayashi
128 schema:givenName Akihiro
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611475774.31
130 rdf:type schema:Person
131 sg:person.0637243630.51 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
132 schema:familyName Ohdaira
133 schema:givenName Takeshi
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637243630.51
135 rdf:type schema:Person
136 sg:pub.10.1007/s00268-014-2674-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044731114
137 https://doi.org/10.1007/s00268-014-2674-0
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s00464-014-3487-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013045173
140 https://doi.org/10.1007/s00464-014-3487-9
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s00464-014-3681-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035798074
143 https://doi.org/10.1007/s00464-014-3681-9
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/s00595-015-1145-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1045694874
146 https://doi.org/10.1007/s00595-015-1145-z
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/s00595-015-1157-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033685241
149 https://doi.org/10.1007/s00595-015-1157-8
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/s00595-015-1236-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025228864
152 https://doi.org/10.1007/s00595-015-1236-x
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s10350-008-9352-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1032667284
155 https://doi.org/10.1007/s10350-008-9352-y
156 rdf:type schema:CreativeWork
157 sg:pub.10.1007/s11605-011-1547-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050653680
158 https://doi.org/10.1007/s11605-011-1547-1
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1002/bjs.4407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036750874
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1007/s10350-008-9352-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1032667284
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.jsurg.2010.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007161815
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.urology.2013.07.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005583943
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1089/end.2007.0241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059257694
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1089/lap.2012.0220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059294163
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1097/sla.0000000000000596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020499422
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1111/j.1463-1318.2012.02985.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043183475
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1111/j.1758-5910.2009.00004.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023354114
177 rdf:type schema:CreativeWork
178 https://doi.org/10.3862/jcoloproctology.66.971 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049735847
179 rdf:type schema:CreativeWork
180 https://doi.org/10.3862/jcoloproctology.66.982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011269760
181 rdf:type schema:CreativeWork
182 https://doi.org/10.5759/jscas.16.51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073105303
183 rdf:type schema:CreativeWork
184 https://www.grid.ac/institutes/grid.177174.3 schema:alternateName Kyushu University
185 schema:name Center for Advanced Medical Initiatives, Kyushu University, Fukuoka, Japan
186 rdf:type schema:Organization
187 https://www.grid.ac/institutes/grid.272242.3 schema:alternateName National Cancer Centre
188 schema:name Colorectal and Pelvic Surgery Division, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa-shi, 277-8577, Chiba, Japan
189 rdf:type schema:Organization
 




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


...