Diagnostic accuracy of MRI with MRCP and B-Mode-sonography with elastography of the pancreas in patients with cystic fibrosis: a point-to-point ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Christopher Kloth, Dorit Fabricius, Inka Wendlik, Stefan Andreas Schmidt, Matthias Pfahler, Elisabeth Lormes, Meinrad Beer, Wolfgang Kratzer, Julian Schmidberger

ABSTRACT

OBJECTIVE: For patients with cystic fibrosis, the imaging of the pancreas is of crucial importance for the early detection of pancreatic carcinoma. Comparative studies between Magnetic Resonance Imaging (MRI) and sonographic pancreas sonography are not yet available. The aim of the study was to compare MRI, sonography and point-shearwave elastography (pSWE). A total of 19 patients were included (10 male, 9 female; age 29.7 ± 14.3 years) in the study. Ultrasonography with pSWE and contrast enhanced MRI with MRCP were performed. RESULTS: Significant differences between measurements of pancreatic body were registered in MRI with 1.4 ± 0.6 cm vs 1.0 ± 0.4 cm in ultrasound (p = 0.049), however not for pancreatic head and tail. In 10/19 patients (52.6%) pancreatic parenchyma did not show in MRI because of complete lipomatous transformation, but could be detected in ultrasound. pSWE-values showed no significant differences between the full and partial fatty transformation in pancreatic head (p = 0.968), body (p = 0.657) and tail (p = 0.840). pSWE-values did not correlate with measured signal intensity in T1w flash (p = 0.930, r = 0.025) and T2w HASTE sequences (p = 0.152, r = - 0.375). In patients with CF ultrasound is superior to MRI for displaying full fibro-fatty parenchymal transformation, pancreatic duct. Ultrasound elastography did not provide additional clinical relevant information. More... »

PAGES

150

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13104-019-4193-4

DOI

http://dx.doi.org/10.1186/s13104-019-4193-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112851252

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30885270


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University Hospital Ulm", 
          "id": "https://www.grid.ac/institutes/grid.410712.1", 
          "name": [
            "Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kloth", 
        "givenName": "Christopher", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ulm", 
          "id": "https://www.grid.ac/institutes/grid.6582.9", 
          "name": [
            "Department of Paediatric and Adolescent Medicine, Ulm University Hospitals, Eythstrasse 24, 89075, Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fabricius", 
        "givenName": "Dorit", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Ulm", 
          "id": "https://www.grid.ac/institutes/grid.410712.1", 
          "name": [
            "Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wendlik", 
        "givenName": "Inka", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Ulm", 
          "id": "https://www.grid.ac/institutes/grid.410712.1", 
          "name": [
            "Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schmidt", 
        "givenName": "Stefan Andreas", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Ulm", 
          "id": "https://www.grid.ac/institutes/grid.410712.1", 
          "name": [
            "Department of Internal Medicine I, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pfahler", 
        "givenName": "Matthias", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Ulm", 
          "id": "https://www.grid.ac/institutes/grid.410712.1", 
          "name": [
            "Department of Dermatology and Allergic Diseases, Ulm University Hospital, Albert-Einstein-Allee 23, 89081, Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lormes", 
        "givenName": "Elisabeth", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Ulm", 
          "id": "https://www.grid.ac/institutes/grid.410712.1", 
          "name": [
            "Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Beer", 
        "givenName": "Meinrad", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Ulm", 
          "id": "https://www.grid.ac/institutes/grid.410712.1", 
          "name": [
            "Department of Internal Medicine I, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kratzer", 
        "givenName": "Wolfgang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University Hospital Ulm", 
          "id": "https://www.grid.ac/institutes/grid.410712.1", 
          "name": [
            "Department of Internal Medicine I, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schmidberger", 
        "givenName": "Julian", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00261-016-0661-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006283590", 
          "https://doi.org/10.1007/s00261-016-0661-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-016-0661-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006283590", 
          "https://doi.org/10.1007/s00261-016-0661-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2337/db06-0859", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007724986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2015/517369", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016736303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2016.10.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022252999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02011384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026665336", 
          "https://doi.org/10.1007/bf02011384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02011384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026665336", 
          "https://doi.org/10.1007/bf02011384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/djs481", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032562641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199502233320803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043981023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7863/jum.2002.21.4.409", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049397891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/gut.2007.125278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049912204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00535-011-0491-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053045002", 
          "https://doi.org/10.1007/s00535-011-0491-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.179.1.2006275", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078033046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2016160586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079393033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.198.3.8628886", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082885185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082951610", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1123/jsr.2017-0003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085469694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jgh.13926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091230005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmjopen-2017-017548", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091291023"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pan.2017.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092225643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-017-5115-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092666376", 
          "https://doi.org/10.1007/s00330-017-5115-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-017-5268-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100820568", 
          "https://doi.org/10.1007/s00330-017-5268-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-018-1479-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101106060", 
          "https://doi.org/10.1007/s00261-018-1479-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-018-1479-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101106060", 
          "https://doi.org/10.1007/s00261-018-1479-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0201019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105865843"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-018-5650-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105876492", 
          "https://doi.org/10.1007/s00330-018-5650-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-018-5650-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105876492", 
          "https://doi.org/10.1007/s00330-018-5650-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "OBJECTIVE: For patients with cystic fibrosis, the imaging of the pancreas is of crucial importance for the early detection of pancreatic carcinoma. Comparative studies between Magnetic Resonance Imaging (MRI) and sonographic pancreas sonography are not yet available. The aim of the study was to compare MRI, sonography and point-shearwave elastography (pSWE). A total of 19 patients were included (10 male, 9 female; age 29.7\u2009\u00b1\u200914.3\u00a0years) in the study. Ultrasonography with pSWE and contrast enhanced MRI with MRCP were performed.\nRESULTS: Significant differences between measurements of pancreatic body were registered in MRI with 1.4\u2009\u00b1\u20090.6\u00a0cm vs 1.0\u2009\u00b1\u20090.4\u00a0cm in ultrasound (p\u2009=\u20090.049), however not for pancreatic head and tail. In 10/19 patients (52.6%) pancreatic parenchyma did not show in MRI because of complete lipomatous transformation, but could be detected in ultrasound. pSWE-values showed no significant differences between the full and partial fatty transformation in pancreatic head (p\u2009=\u20090.968), body (p\u2009=\u20090.657) and tail (p\u2009=\u20090.840). pSWE-values did not correlate with measured signal intensity in T1w flash (p\u2009=\u20090.930, r\u2009=\u20090.025) and T2w HASTE sequences (p\u2009=\u20090.152, r\u2009=\u2009-\u20090.375). In patients with CF ultrasound is superior to MRI for displaying full fibro-fatty parenchymal transformation, pancreatic duct. Ultrasound elastography did not provide additional clinical relevant information.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13104-019-4193-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1039457", 
        "issn": [
          "1756-0500"
        ], 
        "name": "BMC Research Notes", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "name": "Diagnostic accuracy of MRI with MRCP and B-Mode-sonography with elastography of the pancreas in patients with cystic fibrosis: a point-to-point comparison", 
    "pagination": "150", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "309c8844c54e3d637d85b80160eec3d326ffeb8b782d875d65b6ee3c2a2a2dad"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30885270"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101462768"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13104-019-4193-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112851252"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13104-019-4193-4", 
      "https://app.dimensions.ai/details/publication/pub.1112851252"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:18", 
    "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/v90/0000000368_0000000368/records_78938_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13104-019-4193-4"
  }
]
 

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.10.1186/s13104-019-4193-4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13104-019-4193-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13104-019-4193-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13104-019-4193-4'


 

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

195 TRIPLES      21 PREDICATES      52 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13104-019-4193-4 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Nacd483db8be740f8aaaad3c803b81486
4 schema:citation sg:pub.10.1007/bf02011384
5 sg:pub.10.1007/s00261-016-0661-7
6 sg:pub.10.1007/s00261-018-1479-2
7 sg:pub.10.1007/s00330-017-5115-2
8 sg:pub.10.1007/s00330-017-5268-z
9 sg:pub.10.1007/s00330-018-5650-5
10 sg:pub.10.1007/s00535-011-0491-x
11 https://app.dimensions.ai/details/publication/pub.1082951610
12 https://doi.org/10.1016/j.ejrad.2016.10.019
13 https://doi.org/10.1016/j.pan.2017.10.003
14 https://doi.org/10.1056/nejm199502233320803
15 https://doi.org/10.1093/jnci/djs481
16 https://doi.org/10.1111/jgh.13926
17 https://doi.org/10.1123/jsr.2017-0003
18 https://doi.org/10.1136/bmjopen-2017-017548
19 https://doi.org/10.1136/gut.2007.125278
20 https://doi.org/10.1148/radiol.2016160586
21 https://doi.org/10.1148/radiology.179.1.2006275
22 https://doi.org/10.1148/radiology.198.3.8628886
23 https://doi.org/10.1155/2015/517369
24 https://doi.org/10.1371/journal.pone.0201019
25 https://doi.org/10.2337/db06-0859
26 https://doi.org/10.7863/jum.2002.21.4.409
27 schema:datePublished 2019-12
28 schema:datePublishedReg 2019-12-01
29 schema:description OBJECTIVE: For patients with cystic fibrosis, the imaging of the pancreas is of crucial importance for the early detection of pancreatic carcinoma. Comparative studies between Magnetic Resonance Imaging (MRI) and sonographic pancreas sonography are not yet available. The aim of the study was to compare MRI, sonography and point-shearwave elastography (pSWE). A total of 19 patients were included (10 male, 9 female; age 29.7 ± 14.3 years) in the study. Ultrasonography with pSWE and contrast enhanced MRI with MRCP were performed. RESULTS: Significant differences between measurements of pancreatic body were registered in MRI with 1.4 ± 0.6 cm vs 1.0 ± 0.4 cm in ultrasound (p = 0.049), however not for pancreatic head and tail. In 10/19 patients (52.6%) pancreatic parenchyma did not show in MRI because of complete lipomatous transformation, but could be detected in ultrasound. pSWE-values showed no significant differences between the full and partial fatty transformation in pancreatic head (p = 0.968), body (p = 0.657) and tail (p = 0.840). pSWE-values did not correlate with measured signal intensity in T1w flash (p = 0.930, r = 0.025) and T2w HASTE sequences (p = 0.152, r = - 0.375). In patients with CF ultrasound is superior to MRI for displaying full fibro-fatty parenchymal transformation, pancreatic duct. Ultrasound elastography did not provide additional clinical relevant information.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf Ndb3a2f0e0d954b719ac89f4b6762ed49
34 Ne382d5b1b1a148a8bd52065c35ee06c3
35 sg:journal.1039457
36 schema:name Diagnostic accuracy of MRI with MRCP and B-Mode-sonography with elastography of the pancreas in patients with cystic fibrosis: a point-to-point comparison
37 schema:pagination 150
38 schema:productId N586fbc4f18754974aaf88c9f0612de5a
39 N9c57d740fc9a49cc83d82d3d1c17a818
40 Na51c9b85470449a89cb8c43285b6f69b
41 Nb93ccd361dfa4878af282d8531305f82
42 Nf1f1cf7fdb1b4c6c9053bfa60bf6f267
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112851252
44 https://doi.org/10.1186/s13104-019-4193-4
45 schema:sdDatePublished 2019-04-11T13:18
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher Na22e5be553754e0a905cf23865202253
48 schema:url https://link.springer.com/10.1186%2Fs13104-019-4193-4
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N08a37b31f3e844948dfb47eab133e44a rdf:first Nf48134d332d9490aa1edb975180ff26e
53 rdf:rest rdf:nil
54 N448c8f1a72c3400e94cc2efe469572a4 rdf:first Na25b689b228449f78327edf90eaa6943
55 rdf:rest Na1d88788ef5f4692b5a8a48864eeaaf2
56 N45f511a9eaeb4dccb82cdc1ce3265d06 schema:affiliation https://www.grid.ac/institutes/grid.410712.1
57 schema:familyName Pfahler
58 schema:givenName Matthias
59 rdf:type schema:Person
60 N586fbc4f18754974aaf88c9f0612de5a schema:name readcube_id
61 schema:value 309c8844c54e3d637d85b80160eec3d326ffeb8b782d875d65b6ee3c2a2a2dad
62 rdf:type schema:PropertyValue
63 N6cdb2c038f0748d087f55592a6b73452 rdf:first N73aa4b9741ba49fcbc09dbb8d061b776
64 rdf:rest N8b64a882f940496394e818f173a02ed6
65 N70d440c1b5c5418da340b875eeb64464 schema:affiliation https://www.grid.ac/institutes/grid.410712.1
66 schema:familyName Schmidt
67 schema:givenName Stefan Andreas
68 rdf:type schema:Person
69 N73aa4b9741ba49fcbc09dbb8d061b776 schema:affiliation https://www.grid.ac/institutes/grid.6582.9
70 schema:familyName Fabricius
71 schema:givenName Dorit
72 rdf:type schema:Person
73 N7bca4d9ed8744aa7ae0324e932f5cdcd rdf:first Na31c157259304d5e835cfbd2c3f19127
74 rdf:rest N08a37b31f3e844948dfb47eab133e44a
75 N8b5b9b9f10424bb287dae062fb4173f2 schema:affiliation https://www.grid.ac/institutes/grid.410712.1
76 schema:familyName Kloth
77 schema:givenName Christopher
78 rdf:type schema:Person
79 N8b64a882f940496394e818f173a02ed6 rdf:first Nc61d93d3787d4fa896d08277a213f43e
80 rdf:rest Nfea685db491b4da193fbef83751c084a
81 N9c57d740fc9a49cc83d82d3d1c17a818 schema:name dimensions_id
82 schema:value pub.1112851252
83 rdf:type schema:PropertyValue
84 Na1d88788ef5f4692b5a8a48864eeaaf2 rdf:first Nc443871abebe4747b6de4990109a3d35
85 rdf:rest N7bca4d9ed8744aa7ae0324e932f5cdcd
86 Na22e5be553754e0a905cf23865202253 schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 Na25b689b228449f78327edf90eaa6943 schema:affiliation https://www.grid.ac/institutes/grid.410712.1
89 schema:familyName Lormes
90 schema:givenName Elisabeth
91 rdf:type schema:Person
92 Na31c157259304d5e835cfbd2c3f19127 schema:affiliation https://www.grid.ac/institutes/grid.410712.1
93 schema:familyName Kratzer
94 schema:givenName Wolfgang
95 rdf:type schema:Person
96 Na51c9b85470449a89cb8c43285b6f69b schema:name pubmed_id
97 schema:value 30885270
98 rdf:type schema:PropertyValue
99 Nacd483db8be740f8aaaad3c803b81486 rdf:first N8b5b9b9f10424bb287dae062fb4173f2
100 rdf:rest N6cdb2c038f0748d087f55592a6b73452
101 Nb93ccd361dfa4878af282d8531305f82 schema:name nlm_unique_id
102 schema:value 101462768
103 rdf:type schema:PropertyValue
104 Nc443871abebe4747b6de4990109a3d35 schema:affiliation https://www.grid.ac/institutes/grid.410712.1
105 schema:familyName Beer
106 schema:givenName Meinrad
107 rdf:type schema:Person
108 Nc61d93d3787d4fa896d08277a213f43e schema:affiliation https://www.grid.ac/institutes/grid.410712.1
109 schema:familyName Wendlik
110 schema:givenName Inka
111 rdf:type schema:Person
112 Ndb3a2f0e0d954b719ac89f4b6762ed49 schema:volumeNumber 12
113 rdf:type schema:PublicationVolume
114 Ne382d5b1b1a148a8bd52065c35ee06c3 schema:issueNumber 1
115 rdf:type schema:PublicationIssue
116 Nf0f3935fd4e64a9a9d94208d67b6a59d rdf:first N45f511a9eaeb4dccb82cdc1ce3265d06
117 rdf:rest N448c8f1a72c3400e94cc2efe469572a4
118 Nf1f1cf7fdb1b4c6c9053bfa60bf6f267 schema:name doi
119 schema:value 10.1186/s13104-019-4193-4
120 rdf:type schema:PropertyValue
121 Nf48134d332d9490aa1edb975180ff26e schema:affiliation https://www.grid.ac/institutes/grid.410712.1
122 schema:familyName Schmidberger
123 schema:givenName Julian
124 rdf:type schema:Person
125 Nfea685db491b4da193fbef83751c084a rdf:first N70d440c1b5c5418da340b875eeb64464
126 rdf:rest Nf0f3935fd4e64a9a9d94208d67b6a59d
127 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
128 schema:name Medical and Health Sciences
129 rdf:type schema:DefinedTerm
130 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
131 schema:name Clinical Sciences
132 rdf:type schema:DefinedTerm
133 sg:journal.1039457 schema:issn 1756-0500
134 schema:name BMC Research Notes
135 rdf:type schema:Periodical
136 sg:pub.10.1007/bf02011384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026665336
137 https://doi.org/10.1007/bf02011384
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s00261-016-0661-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006283590
140 https://doi.org/10.1007/s00261-016-0661-7
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s00261-018-1479-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101106060
143 https://doi.org/10.1007/s00261-018-1479-2
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/s00330-017-5115-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092666376
146 https://doi.org/10.1007/s00330-017-5115-2
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/s00330-017-5268-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1100820568
149 https://doi.org/10.1007/s00330-017-5268-z
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/s00330-018-5650-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105876492
152 https://doi.org/10.1007/s00330-018-5650-5
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s00535-011-0491-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1053045002
155 https://doi.org/10.1007/s00535-011-0491-x
156 rdf:type schema:CreativeWork
157 https://app.dimensions.ai/details/publication/pub.1082951610 schema:CreativeWork
158 https://doi.org/10.1016/j.ejrad.2016.10.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022252999
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.pan.2017.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092225643
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1056/nejm199502233320803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043981023
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1093/jnci/djs481 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032562641
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1111/jgh.13926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091230005
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1123/jsr.2017-0003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085469694
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1136/bmjopen-2017-017548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091291023
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1136/gut.2007.125278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049912204
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1148/radiol.2016160586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079393033
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1148/radiology.179.1.2006275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078033046
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1148/radiology.198.3.8628886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082885185
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1155/2015/517369 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016736303
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1371/journal.pone.0201019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105865843
183 rdf:type schema:CreativeWork
184 https://doi.org/10.2337/db06-0859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007724986
185 rdf:type schema:CreativeWork
186 https://doi.org/10.7863/jum.2002.21.4.409 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049397891
187 rdf:type schema:CreativeWork
188 https://www.grid.ac/institutes/grid.410712.1 schema:alternateName University Hospital Ulm
189 schema:name Department of Dermatology and Allergic Diseases, Ulm University Hospital, Albert-Einstein-Allee 23, 89081, Ulm, Germany
190 Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany
191 Department of Internal Medicine I, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany
192 rdf:type schema:Organization
193 https://www.grid.ac/institutes/grid.6582.9 schema:alternateName University of Ulm
194 schema:name Department of Paediatric and Adolescent Medicine, Ulm University Hospitals, Eythstrasse 24, 89075, Ulm, Germany
195 rdf:type schema:Organization
 




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


...