Does preoperative enhanced CT predict requirement of intestinal resection in the patients with incarcerated myopectineal hernias containing small bowel? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-10-31

AUTHORS

A. Kohga, A. Kawabe, K. Yajima, T. Okumura, K. Yamashita, J. Isogaki, K. Suzuki, K. Muramatsu, A. Komiyama

ABSTRACT

PurposeBowel wall enhancement on CT imaging is considered one of the useful features for the prediction of the presence of irreversible ischemic change in patients with small bowel obstruction. However, the applicability of CT imaging in patients with incarcerated hernias has not been investigated in detail. The aim of this retrospective study was to evaluate the feasibility of preoperative CT findings for the prediction of the presence of irreversible ischemic change in patients with incarcerated hernias containing small bowel.MethodsIncluded in this study were 76 patients who underwent surgery for preoperatively diagnosed incarcerated hernias containing small bowel (27 inguinal hernias, 37 femoral hernias and 12 obturator hernias) at our hospital between January 2011 and June 2020. The preoperative clinicoradiological features were compared between the groups, and predictors for intestinal resection were evaluated.ResultsNineteen patients required intestinal resection (Resection group), and the other 57 patients did not require intestinal resection (Nonresection group). Multivariate analyses revealed that age ≥ 80 years (p = 0.018, odds ratio = 6.604) and the absence of bowel wall enhancement (p = 0.032, odds ratio = 51.200) were independent predictors for intestinal resection. In resected specimens, all patients with an absence of bowel wall enhancement on preoperative enhanced CT had ischemic changes extending beyond the muscularis propria.ConclusionsPreoperative enhancement CT yields useful information for the prediction of the presence of irreversible ischemic change in patients with incarcerated hernias containing small bowel. More... »

PAGES

1279-1287

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10029-020-02325-0

DOI

http://dx.doi.org/10.1007/s10029-020-02325-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1132234759

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/33128678


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": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hernia, Inguinal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hernia, Obturator", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Herniorrhaphy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Intestinal Obstruction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kohga", 
        "givenName": "A.", 
        "id": "sg:person.015226220333.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015226220333.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawabe", 
        "givenName": "A.", 
        "id": "sg:person.015702576457.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015702576457.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yajima", 
        "givenName": "K.", 
        "id": "sg:person.0705271330.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705271330.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okumura", 
        "givenName": "T.", 
        "id": "sg:person.013601400741.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013601400741.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamashita", 
        "givenName": "K.", 
        "id": "sg:person.014376761341.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014376761341.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Isogaki", 
        "givenName": "J.", 
        "id": "sg:person.01176164476.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176164476.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suzuki", 
        "givenName": "K.", 
        "id": "sg:person.010174745335.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010174745335.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Radiology, Fujinomiya City General Hospital, Shizuoka, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Radiology, Fujinomiya City General Hospital, Shizuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Muramatsu", 
        "givenName": "K.", 
        "id": "sg:person.010363774763.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010363774763.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Pathology, Fujinomiya City General Hospital, Shizuoka, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Division of Pathology, Fujinomiya City General Hospital, Shizuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Komiyama", 
        "givenName": "A.", 
        "id": "sg:person.016567302741.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016567302741.06"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10029-018-1854-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109814728", 
          "https://doi.org/10.1007/s10029-018-1854-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10029-011-0875-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023508706", 
          "https://doi.org/10.1007/s10029-011-0875-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13037-018-0173-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106338570", 
          "https://doi.org/10.1186/s13037-018-0173-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-018-5402-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103489398", 
          "https://doi.org/10.1007/s00330-018-5402-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10029-017-1668-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100317749", 
          "https://doi.org/10.1007/s10029-017-1668-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-014-3440-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038184771", 
          "https://doi.org/10.1007/s00330-014-3440-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00464-018-6439-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106910616", 
          "https://doi.org/10.1007/s00464-018-6439-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-017-1227-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086157770", 
          "https://doi.org/10.1007/s00261-017-1227-z"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-10-31", 
    "datePublishedReg": "2020-10-31", 
    "description": "PurposeBowel wall enhancement on CT imaging is considered one of the useful features for the prediction of the presence of irreversible ischemic change in patients with small bowel obstruction. However, the applicability of CT imaging in patients with incarcerated hernias has not been investigated in detail. The aim of this retrospective study was to evaluate the feasibility of preoperative CT findings for the prediction of the presence of irreversible ischemic change in patients with incarcerated hernias containing small bowel.MethodsIncluded in this study were 76 patients who underwent surgery for preoperatively diagnosed incarcerated hernias containing small bowel (27 inguinal hernias, 37 femoral hernias and 12 obturator hernias) at our hospital between January 2011 and June 2020. The preoperative clinicoradiological features were compared between the groups, and predictors for intestinal resection were evaluated.ResultsNineteen patients required intestinal resection (Resection group), and the other 57 patients did not require intestinal resection (Nonresection group). Multivariate analyses revealed that age\u2009\u2265\u200980\u00a0years (p\u2009=\u20090.018, odds ratio\u2009=\u20096.604) and the absence of bowel wall enhancement (p\u2009=\u20090.032, odds ratio\u2009=\u200951.200) were independent predictors for intestinal resection. In resected specimens, all patients with an absence of bowel wall enhancement on preoperative enhanced CT had ischemic changes extending beyond the muscularis propria.ConclusionsPreoperative enhancement CT yields useful information for the prediction of the presence of irreversible ischemic change in patients with incarcerated hernias containing small bowel.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10029-020-02325-0", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1117440", 
        "issn": [
          "1265-4906", 
          "1248-9204"
        ], 
        "name": "Hernia", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "keywords": [
      "irreversible ischemic changes", 
      "intestinal resection", 
      "bowel wall enhancement", 
      "ischemic changes", 
      "incarcerated hernia", 
      "small bowel", 
      "preoperative enhanced CT", 
      "wall enhancement", 
      "enhanced CT", 
      "small bowel obstruction", 
      "preoperative CT findings", 
      "ResultsNineteen patients", 
      "bowel obstruction", 
      "independent predictors", 
      "CT findings", 
      "clinicoradiological features", 
      "retrospective study", 
      "resected specimens", 
      "muscularis propria", 
      "applicability of CT", 
      "resection", 
      "patients", 
      "hernia", 
      "bowel", 
      "enhancement CT", 
      "multivariate analysis", 
      "CT imaging", 
      "CT", 
      "predictors", 
      "surgery", 
      "hospital", 
      "propria", 
      "obstruction", 
      "age", 
      "absence", 
      "changes", 
      "study", 
      "presence", 
      "imaging", 
      "group", 
      "aim", 
      "years", 
      "findings", 
      "useful information", 
      "specimens", 
      "features", 
      "enhancement", 
      "feasibility", 
      "analysis", 
      "information", 
      "prediction", 
      "requirements", 
      "detail", 
      "useful features", 
      "applicability"
    ], 
    "name": "Does preoperative enhanced CT predict requirement of intestinal resection in the patients with incarcerated myopectineal hernias containing small bowel?", 
    "pagination": "1279-1287", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1132234759"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10029-020-02325-0"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "33128678"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10029-020-02325-0", 
      "https://app.dimensions.ai/details/publication/pub.1132234759"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:41", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_845.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10029-020-02325-0"
  }
]
 

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/s10029-020-02325-0'

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/s10029-020-02325-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10029-020-02325-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10029-020-02325-0'


 

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

240 TRIPLES      21 PREDICATES      96 URIs      80 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10029-020-02325-0 schema:about N1e12771441384587871d4daf8076c673
2 N4c384c6b02c04633a795d5ecc90955e6
3 N536129138f1a4ffdae7989e7ad427a64
4 N5e0db14958294352afe9a740ceba13c8
5 Nb9b17cb08da546338cd12b24120e733a
6 Nbabc5e3d00d24ef09824ff983637d559
7 Nf5e737a940c246ed8f935415ae2e2680
8 Nf9de4295e49d48369f4db89b43aa919e
9 anzsrc-for:11
10 anzsrc-for:1103
11 schema:author N844514fc89774ac3a16f38af2f6ac009
12 schema:citation sg:pub.10.1007/s00261-017-1227-z
13 sg:pub.10.1007/s00330-014-3440-2
14 sg:pub.10.1007/s00330-018-5402-6
15 sg:pub.10.1007/s00464-018-6439-y
16 sg:pub.10.1007/s10029-011-0875-0
17 sg:pub.10.1007/s10029-017-1668-x
18 sg:pub.10.1007/s10029-018-1854-5
19 sg:pub.10.1186/s13037-018-0173-1
20 schema:datePublished 2020-10-31
21 schema:datePublishedReg 2020-10-31
22 schema:description PurposeBowel wall enhancement on CT imaging is considered one of the useful features for the prediction of the presence of irreversible ischemic change in patients with small bowel obstruction. However, the applicability of CT imaging in patients with incarcerated hernias has not been investigated in detail. The aim of this retrospective study was to evaluate the feasibility of preoperative CT findings for the prediction of the presence of irreversible ischemic change in patients with incarcerated hernias containing small bowel.MethodsIncluded in this study were 76 patients who underwent surgery for preoperatively diagnosed incarcerated hernias containing small bowel (27 inguinal hernias, 37 femoral hernias and 12 obturator hernias) at our hospital between January 2011 and June 2020. The preoperative clinicoradiological features were compared between the groups, and predictors for intestinal resection were evaluated.ResultsNineteen patients required intestinal resection (Resection group), and the other 57 patients did not require intestinal resection (Nonresection group). Multivariate analyses revealed that age ≥ 80 years (p = 0.018, odds ratio = 6.604) and the absence of bowel wall enhancement (p = 0.032, odds ratio = 51.200) were independent predictors for intestinal resection. In resected specimens, all patients with an absence of bowel wall enhancement on preoperative enhanced CT had ischemic changes extending beyond the muscularis propria.ConclusionsPreoperative enhancement CT yields useful information for the prediction of the presence of irreversible ischemic change in patients with incarcerated hernias containing small bowel.
23 schema:genre article
24 schema:isAccessibleForFree false
25 schema:isPartOf N25e43ded99b246a8808695272fdf58cc
26 N86bef93328da48fda2c94433165e6194
27 sg:journal.1117440
28 schema:keywords CT
29 CT findings
30 CT imaging
31 ResultsNineteen patients
32 absence
33 age
34 aim
35 analysis
36 applicability
37 applicability of CT
38 bowel
39 bowel obstruction
40 bowel wall enhancement
41 changes
42 clinicoradiological features
43 detail
44 enhanced CT
45 enhancement
46 enhancement CT
47 feasibility
48 features
49 findings
50 group
51 hernia
52 hospital
53 imaging
54 incarcerated hernia
55 independent predictors
56 information
57 intestinal resection
58 irreversible ischemic changes
59 ischemic changes
60 multivariate analysis
61 muscularis propria
62 obstruction
63 patients
64 prediction
65 predictors
66 preoperative CT findings
67 preoperative enhanced CT
68 presence
69 propria
70 requirements
71 resected specimens
72 resection
73 retrospective study
74 small bowel
75 small bowel obstruction
76 specimens
77 study
78 surgery
79 useful features
80 useful information
81 wall enhancement
82 years
83 schema:name Does preoperative enhanced CT predict requirement of intestinal resection in the patients with incarcerated myopectineal hernias containing small bowel?
84 schema:pagination 1279-1287
85 schema:productId N94632d05ac1d4fa5b198498de0b7576a
86 Nac90fb0eb7f743f1ab1f9289313a23f7
87 Nd8fff09a18a04588b7c223f81027645f
88 schema:sameAs https://app.dimensions.ai/details/publication/pub.1132234759
89 https://doi.org/10.1007/s10029-020-02325-0
90 schema:sdDatePublished 2022-12-01T06:41
91 schema:sdLicense https://scigraph.springernature.com/explorer/license/
92 schema:sdPublisher N736527ee5a9547c09d096eff23f41456
93 schema:url https://doi.org/10.1007/s10029-020-02325-0
94 sgo:license sg:explorer/license/
95 sgo:sdDataset articles
96 rdf:type schema:ScholarlyArticle
97 N03f61a21c68c459297ff76480ea3126e rdf:first sg:person.014376761341.12
98 rdf:rest Nb184fa467d6546ce8a56ecc9e012717b
99 N1e12771441384587871d4daf8076c673 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Hernia, Inguinal
101 rdf:type schema:DefinedTerm
102 N25e43ded99b246a8808695272fdf58cc schema:volumeNumber 25
103 rdf:type schema:PublicationVolume
104 N265a93e0e4154d92a211e654f9487e30 rdf:first sg:person.013601400741.25
105 rdf:rest N03f61a21c68c459297ff76480ea3126e
106 N4562e6d61cec44d8bc74b49901fd4085 rdf:first sg:person.0705271330.82
107 rdf:rest N265a93e0e4154d92a211e654f9487e30
108 N4c384c6b02c04633a795d5ecc90955e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Retrospective Studies
110 rdf:type schema:DefinedTerm
111 N536129138f1a4ffdae7989e7ad427a64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Intestinal Obstruction
113 rdf:type schema:DefinedTerm
114 N5e0db14958294352afe9a740ceba13c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Tomography, X-Ray Computed
116 rdf:type schema:DefinedTerm
117 N736527ee5a9547c09d096eff23f41456 schema:name Springer Nature - SN SciGraph project
118 rdf:type schema:Organization
119 N825e8af2110b44a7ac464b868075f5d4 rdf:first sg:person.010363774763.95
120 rdf:rest Nf9a9c6327b264d86af2e627770e89b4c
121 N844514fc89774ac3a16f38af2f6ac009 rdf:first sg:person.015226220333.84
122 rdf:rest Nf61bbb6b2aa44c629dbe700e64897dbf
123 N86bef93328da48fda2c94433165e6194 schema:issueNumber 5
124 rdf:type schema:PublicationIssue
125 N94632d05ac1d4fa5b198498de0b7576a schema:name dimensions_id
126 schema:value pub.1132234759
127 rdf:type schema:PropertyValue
128 Nac90fb0eb7f743f1ab1f9289313a23f7 schema:name doi
129 schema:value 10.1007/s10029-020-02325-0
130 rdf:type schema:PropertyValue
131 Nb184fa467d6546ce8a56ecc9e012717b rdf:first sg:person.01176164476.55
132 rdf:rest Nf49e8bd7790e47cfa460c41804f2e494
133 Nb9b17cb08da546338cd12b24120e733a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Humans
135 rdf:type schema:DefinedTerm
136 Nbabc5e3d00d24ef09824ff983637d559 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Hernia, Obturator
138 rdf:type schema:DefinedTerm
139 Nd8fff09a18a04588b7c223f81027645f schema:name pubmed_id
140 schema:value 33128678
141 rdf:type schema:PropertyValue
142 Nf49e8bd7790e47cfa460c41804f2e494 rdf:first sg:person.010174745335.41
143 rdf:rest N825e8af2110b44a7ac464b868075f5d4
144 Nf5e737a940c246ed8f935415ae2e2680 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Herniorrhaphy
146 rdf:type schema:DefinedTerm
147 Nf61bbb6b2aa44c629dbe700e64897dbf rdf:first sg:person.015702576457.34
148 rdf:rest N4562e6d61cec44d8bc74b49901fd4085
149 Nf9a9c6327b264d86af2e627770e89b4c rdf:first sg:person.016567302741.06
150 rdf:rest rdf:nil
151 Nf9de4295e49d48369f4db89b43aa919e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Aged, 80 and over
153 rdf:type schema:DefinedTerm
154 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
155 schema:name Medical and Health Sciences
156 rdf:type schema:DefinedTerm
157 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
158 schema:name Clinical Sciences
159 rdf:type schema:DefinedTerm
160 sg:journal.1117440 schema:issn 1248-9204
161 1265-4906
162 schema:name Hernia
163 schema:publisher Springer Nature
164 rdf:type schema:Periodical
165 sg:person.010174745335.41 schema:affiliation grid-institutes:None
166 schema:familyName Suzuki
167 schema:givenName K.
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010174745335.41
169 rdf:type schema:Person
170 sg:person.010363774763.95 schema:affiliation grid-institutes:None
171 schema:familyName Muramatsu
172 schema:givenName K.
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010363774763.95
174 rdf:type schema:Person
175 sg:person.01176164476.55 schema:affiliation grid-institutes:None
176 schema:familyName Isogaki
177 schema:givenName J.
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176164476.55
179 rdf:type schema:Person
180 sg:person.013601400741.25 schema:affiliation grid-institutes:None
181 schema:familyName Okumura
182 schema:givenName T.
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013601400741.25
184 rdf:type schema:Person
185 sg:person.014376761341.12 schema:affiliation grid-institutes:None
186 schema:familyName Yamashita
187 schema:givenName K.
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014376761341.12
189 rdf:type schema:Person
190 sg:person.015226220333.84 schema:affiliation grid-institutes:None
191 schema:familyName Kohga
192 schema:givenName A.
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015226220333.84
194 rdf:type schema:Person
195 sg:person.015702576457.34 schema:affiliation grid-institutes:None
196 schema:familyName Kawabe
197 schema:givenName A.
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015702576457.34
199 rdf:type schema:Person
200 sg:person.016567302741.06 schema:affiliation grid-institutes:None
201 schema:familyName Komiyama
202 schema:givenName A.
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016567302741.06
204 rdf:type schema:Person
205 sg:person.0705271330.82 schema:affiliation grid-institutes:None
206 schema:familyName Yajima
207 schema:givenName K.
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705271330.82
209 rdf:type schema:Person
210 sg:pub.10.1007/s00261-017-1227-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1086157770
211 https://doi.org/10.1007/s00261-017-1227-z
212 rdf:type schema:CreativeWork
213 sg:pub.10.1007/s00330-014-3440-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038184771
214 https://doi.org/10.1007/s00330-014-3440-2
215 rdf:type schema:CreativeWork
216 sg:pub.10.1007/s00330-018-5402-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103489398
217 https://doi.org/10.1007/s00330-018-5402-6
218 rdf:type schema:CreativeWork
219 sg:pub.10.1007/s00464-018-6439-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1106910616
220 https://doi.org/10.1007/s00464-018-6439-y
221 rdf:type schema:CreativeWork
222 sg:pub.10.1007/s10029-011-0875-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023508706
223 https://doi.org/10.1007/s10029-011-0875-0
224 rdf:type schema:CreativeWork
225 sg:pub.10.1007/s10029-017-1668-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1100317749
226 https://doi.org/10.1007/s10029-017-1668-x
227 rdf:type schema:CreativeWork
228 sg:pub.10.1007/s10029-018-1854-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109814728
229 https://doi.org/10.1007/s10029-018-1854-5
230 rdf:type schema:CreativeWork
231 sg:pub.10.1186/s13037-018-0173-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106338570
232 https://doi.org/10.1186/s13037-018-0173-1
233 rdf:type schema:CreativeWork
234 grid-institutes:None schema:alternateName Division of Pathology, Fujinomiya City General Hospital, Shizuoka, Japan
235 Division of Radiology, Fujinomiya City General Hospital, Shizuoka, Japan
236 Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan
237 schema:name Division of Pathology, Fujinomiya City General Hospital, Shizuoka, Japan
238 Division of Radiology, Fujinomiya City General Hospital, Shizuoka, Japan
239 Division of Surgery, Fujinomiya City General Hospital, 3-1, Nishiki-cho, 4180076, Fujinomiya, Shizuoka, Japan
240 rdf:type schema:Organization
 




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


...