Magnetic resonance cholangiopancreatography with compressed sensing at 1.5 T: clinical application for the evaluation of branch duct IPMN of the ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-06-18

AUTHORS

Benjamin Henninger, Michael Steurer, Michaela Plaikner, Elisabeth Weiland, Werner Jaschke, Christian Kremser

ABSTRACT

ObjectivesTo evaluate magnetic resonance cholangiopancreatography (MRCP) with compressed sensing (CS) for the assessment of branch duct intraductal papillary mucinous neoplasm (BD-IPMN) of the pancreas. For this purpose, conventional navigator-triggered (NT) sampling perfection with application-optimized contrast using different flip angle evolutions (SPACE) MRCP was compared with various CS-SPACE-MRCP sequences in a clinical setting.MethodsA total of 41 patients (14 male, 27 female, mean age 68 years) underwent 1.5-T MRCP for the evaluation of BD-IPMN. The MRCP protocol consisted of the following sequences: conventional NT-SPACE-MRCP, CS-SPACE-MRCP with long (BHL, 17 s) and short single breath-hold (BHS, 8 s), and NT-CS-SPACE-MRCP. Two board-certified radiologists evaluated image quality, duct sharpness, duct visualization, lesion conspicuity, confidence, and communication with the main pancreatic duct in consensus using a 5-point scale (1–5), with higher scores indicating better quality/delineation/confidence. Maximum intensity projection reconstructions and originally acquired data were used for evaluation. Wilcoxon signed-rank test was used to compare the intra-individual difference between sequences.ResultsBHS-CS-SPACE-MRCP had the highest scores for image quality (3.85 ± 0.79), duct sharpness (3.81 ± 1.05), and duct visualization (3.81 ± 1.01). There was a significant difference compared with NT-CS-SPACE-MRCP (p < 0.05) but no significant difference to the standard NT-SPACE-MRCP (p > 0.05). Concerning diagnostic quality, BHS-CS-SPACE-MRCP had the highest scores in lesion conspicuity (3.95 ± 0.92), confidence (4.12 ± 1.08), and communication (3.8 ± 1.06), significantly higher compared with NT-SPACE-MRCP, BHL-SPACE-MRCP, and NT-CS-SPACE-MRCP (p = <0.05).ConclusionsMRCP with CS 3D SPACE for the evaluation of BD-IPMN at 1.5 T provides the best results using a short breath-hold sequence. This approach is feasible and an excellent alternative to standard NT 3D MRCP sequences.Key Points• 1.5-T MRCP with compressed sensing for the evaluation of branch duct IPMN is a feasible method.• Short breath-hold sequences provide the best results for this purpose. More... »

PAGES

6014-6021

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-020-06996-2

DOI

http://dx.doi.org/10.1007/s00330-020-06996-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1128555142

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/32556465


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", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breath Holding", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cholangiopancreatography, Magnetic Resonance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Imaging, Three-Dimensional", 
        "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": "Pancreas", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pancreatic Ducts", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pancreatic Intraductal Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pancreatic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pressure", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5361.1", 
          "name": [
            "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Henninger", 
        "givenName": "Benjamin", 
        "id": "sg:person.0755772617.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755772617.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5361.1", 
          "name": [
            "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Steurer", 
        "givenName": "Michael", 
        "id": "sg:person.0622433553.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622433553.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5361.1", 
          "name": [
            "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Plaikner", 
        "givenName": "Michaela", 
        "id": "sg:person.01265072446.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265072446.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Siemens Healthcare GmbH, Henkestra\u00dfe 127, 91052, Erlangen, Germany", 
          "id": "http://www.grid.ac/institutes/grid.5406.7", 
          "name": [
            "Siemens Healthcare GmbH, Henkestra\u00dfe 127, 91052, Erlangen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weiland", 
        "givenName": "Elisabeth", 
        "id": "sg:person.0716233473.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716233473.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5361.1", 
          "name": [
            "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jaschke", 
        "givenName": "Werner", 
        "id": "sg:person.0720776275.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720776275.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria", 
          "id": "http://www.grid.ac/institutes/grid.5361.1", 
          "name": [
            "Department of Radiology, Medical University of Innsbruck, Anichstra\u00dfe 35, 6020, Innsbruck, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kremser", 
        "givenName": "Christian", 
        "id": "sg:person.0660266326.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660266326.16"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00261-018-01886-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1111509096", 
          "https://doi.org/10.1007/s00261-018-01886-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-017-1451-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100188773", 
          "https://doi.org/10.1007/s00261-017-1451-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2020-06-18", 
    "datePublishedReg": "2020-06-18", 
    "description": "ObjectivesTo evaluate magnetic resonance cholangiopancreatography (MRCP) with compressed sensing (CS) for the assessment of branch duct intraductal papillary mucinous neoplasm (BD-IPMN) of the pancreas. For this purpose, conventional navigator-triggered (NT) sampling perfection with application-optimized contrast using different flip angle evolutions (SPACE) MRCP was compared with various CS-SPACE-MRCP sequences in a clinical setting.MethodsA total of 41 patients (14 male, 27 female, mean age 68 years) underwent 1.5-T MRCP for the evaluation of BD-IPMN. The MRCP protocol consisted of the following sequences: conventional NT-SPACE-MRCP, CS-SPACE-MRCP with long (BHL, 17 s) and short single breath-hold (BHS, 8 s), and NT-CS-SPACE-MRCP. Two board-certified radiologists evaluated image quality, duct sharpness, duct visualization, lesion conspicuity, confidence, and communication with the main pancreatic duct in consensus using a 5-point scale (1\u20135), with higher scores indicating better quality/delineation/confidence. Maximum intensity projection reconstructions and originally acquired data were used for evaluation. Wilcoxon signed-rank test was used to compare the intra-individual difference between sequences.ResultsBHS-CS-SPACE-MRCP had the highest scores for image quality (3.85 \u00b1 0.79), duct sharpness (3.81 \u00b1 1.05), and duct visualization (3.81 \u00b1 1.01). There was a significant difference compared with NT-CS-SPACE-MRCP (p < 0.05) but no significant difference to the standard NT-SPACE-MRCP (p > 0.05). Concerning diagnostic quality, BHS-CS-SPACE-MRCP had the highest scores in lesion conspicuity (3.95 \u00b1 0.92), confidence (4.12 \u00b1 1.08), and communication (3.8 \u00b1 1.06), significantly higher compared with NT-SPACE-MRCP, BHL-SPACE-MRCP, and NT-CS-SPACE-MRCP (p = <0.05).ConclusionsMRCP with CS 3D SPACE for the evaluation of BD-IPMN at 1.5 T provides the best results using a short breath-hold sequence. This approach is feasible and an excellent alternative to standard NT 3D MRCP sequences.Key Points\u2022 1.5-T MRCP with compressed sensing for the evaluation of branch duct IPMN is a feasible method.\u2022 Short breath-hold sequences provide the best results for this purpose.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00330-020-06996-2", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "keywords": [
      "magnetic resonance cholangiopancreatography", 
      "BD-IPMN", 
      "resonance cholangiopancreatography", 
      "duct visualization", 
      "breath-hold sequences", 
      "branch-duct intraductal papillary mucinous neoplasms", 
      "intraductal papillary mucinous neoplasm", 
      "main pancreatic duct", 
      "branch duct IPMN", 
      "papillary mucinous neoplasm", 
      "lesion conspicuity", 
      "maximum intensity projection reconstructions", 
      "significant differences", 
      "MRCP sequences", 
      "higher scores", 
      "Wilcoxon signed-rank test", 
      "mucinous neoplasms", 
      "pancreatic duct", 
      "board-certified radiologists", 
      "signed-rank test", 
      "branch duct", 
      "clinical setting", 
      "MRCP protocol", 
      "cholangiopancreatography", 
      "clinical application", 
      "intra-individual differences", 
      "diagnostic quality", 
      "pancreas", 
      "duct", 
      "scores", 
      "application-optimized contrasts", 
      "CS-SPACE", 
      "conspicuity", 
      "patients", 
      "IPMN", 
      "neoplasms", 
      "projection reconstruction", 
      "evaluation", 
      "differences", 
      "ObjectivesTo", 
      "excellent alternative", 
      "radiologists", 
      "better results", 
      "image quality", 
      "total", 
      "feasible method", 
      "setting", 
      "quality", 
      "assessment", 
      "purpose", 
      "confidence", 
      "consensus", 
      "protocol", 
      "contrast", 
      "test", 
      "visualization", 
      "results", 
      "reconstruction", 
      "data", 
      "alternative", 
      "scale", 
      "sequence", 
      "Cs 3d", 
      "communication", 
      "method", 
      "approach", 
      "applications", 
      "perfection", 
      "sensing"
    ], 
    "name": "Magnetic resonance cholangiopancreatography with compressed sensing at 1.5 T: clinical application for the evaluation of branch duct IPMN of the pancreas", 
    "pagination": "6014-6021", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1128555142"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-020-06996-2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "32556465"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-020-06996-2", 
      "https://app.dimensions.ai/details/publication/pub.1128555142"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T17:09", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_860.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00330-020-06996-2"
  }
]
 

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/s00330-020-06996-2'

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/s00330-020-06996-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-020-06996-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-020-06996-2'


 

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

236 TRIPLES      21 PREDICATES      111 URIs      101 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-020-06996-2 schema:about N072ac719f4524ba2b2abac6d2480c0c6
2 N0ff04e4ce3ab462eb724391889c20f76
3 N232f1d59dbe64504af63886f921826db
4 N24e2fe8932754de68c3381da51c3aa1c
5 N2f900609ddb94da48dcd8aaf860562f2
6 N3c524335e78e40f794f3a773fc153c2f
7 N43d0e9c4649e4ee9b37fe1e767d98b04
8 N488e509cce044e22b343be87ff7c70f9
9 N4c53ecb8d1e24fa084faf08bcf3581e3
10 N8a0ff1f00aff4268807aee3d7cf0d1c4
11 Nacc0715eabec4449abfb1dd8d81dd1e1
12 Nd2e5e11450604741ad20e9bf06952b5b
13 Ndd1c5046b26b453fb655e88d0e09e842
14 Nf6ddf819eae147ab99abefeab59fb230
15 Nf756d5bc554f43f18f159877296a23b1
16 anzsrc-for:11
17 anzsrc-for:1103
18 schema:author N80e0d38828c54369a09a254040a2da7a
19 schema:citation sg:pub.10.1007/s00261-017-1451-6
20 sg:pub.10.1007/s00261-018-01886-0
21 schema:datePublished 2020-06-18
22 schema:datePublishedReg 2020-06-18
23 schema:description ObjectivesTo evaluate magnetic resonance cholangiopancreatography (MRCP) with compressed sensing (CS) for the assessment of branch duct intraductal papillary mucinous neoplasm (BD-IPMN) of the pancreas. For this purpose, conventional navigator-triggered (NT) sampling perfection with application-optimized contrast using different flip angle evolutions (SPACE) MRCP was compared with various CS-SPACE-MRCP sequences in a clinical setting.MethodsA total of 41 patients (14 male, 27 female, mean age 68 years) underwent 1.5-T MRCP for the evaluation of BD-IPMN. The MRCP protocol consisted of the following sequences: conventional NT-SPACE-MRCP, CS-SPACE-MRCP with long (BHL, 17 s) and short single breath-hold (BHS, 8 s), and NT-CS-SPACE-MRCP. Two board-certified radiologists evaluated image quality, duct sharpness, duct visualization, lesion conspicuity, confidence, and communication with the main pancreatic duct in consensus using a 5-point scale (1–5), with higher scores indicating better quality/delineation/confidence. Maximum intensity projection reconstructions and originally acquired data were used for evaluation. Wilcoxon signed-rank test was used to compare the intra-individual difference between sequences.ResultsBHS-CS-SPACE-MRCP had the highest scores for image quality (3.85 ± 0.79), duct sharpness (3.81 ± 1.05), and duct visualization (3.81 ± 1.01). There was a significant difference compared with NT-CS-SPACE-MRCP (p < 0.05) but no significant difference to the standard NT-SPACE-MRCP (p > 0.05). Concerning diagnostic quality, BHS-CS-SPACE-MRCP had the highest scores in lesion conspicuity (3.95 ± 0.92), confidence (4.12 ± 1.08), and communication (3.8 ± 1.06), significantly higher compared with NT-SPACE-MRCP, BHL-SPACE-MRCP, and NT-CS-SPACE-MRCP (p = <0.05).ConclusionsMRCP with CS 3D SPACE for the evaluation of BD-IPMN at 1.5 T provides the best results using a short breath-hold sequence. This approach is feasible and an excellent alternative to standard NT 3D MRCP sequences.Key Points• 1.5-T MRCP with compressed sensing for the evaluation of branch duct IPMN is a feasible method.• Short breath-hold sequences provide the best results for this purpose.
24 schema:genre article
25 schema:isAccessibleForFree true
26 schema:isPartOf N2a2a7e601e9e4d86aed82ce0d27c356d
27 N78692b533bc14b9ebda04aa9bbbee6a9
28 sg:journal.1289120
29 schema:keywords BD-IPMN
30 CS-SPACE
31 Cs 3d
32 IPMN
33 MRCP protocol
34 MRCP sequences
35 ObjectivesTo
36 Wilcoxon signed-rank test
37 alternative
38 application-optimized contrasts
39 applications
40 approach
41 assessment
42 better results
43 board-certified radiologists
44 branch duct
45 branch duct IPMN
46 branch-duct intraductal papillary mucinous neoplasms
47 breath-hold sequences
48 cholangiopancreatography
49 clinical application
50 clinical setting
51 communication
52 confidence
53 consensus
54 conspicuity
55 contrast
56 data
57 diagnostic quality
58 differences
59 duct
60 duct visualization
61 evaluation
62 excellent alternative
63 feasible method
64 higher scores
65 image quality
66 intra-individual differences
67 intraductal papillary mucinous neoplasm
68 lesion conspicuity
69 magnetic resonance cholangiopancreatography
70 main pancreatic duct
71 maximum intensity projection reconstructions
72 method
73 mucinous neoplasms
74 neoplasms
75 pancreas
76 pancreatic duct
77 papillary mucinous neoplasm
78 patients
79 perfection
80 projection reconstruction
81 protocol
82 purpose
83 quality
84 radiologists
85 reconstruction
86 resonance cholangiopancreatography
87 results
88 scale
89 scores
90 sensing
91 sequence
92 setting
93 signed-rank test
94 significant differences
95 test
96 total
97 visualization
98 schema:name Magnetic resonance cholangiopancreatography with compressed sensing at 1.5 T: clinical application for the evaluation of branch duct IPMN of the pancreas
99 schema:pagination 6014-6021
100 schema:productId N4f0bce91b7cd455493b5e75f11e52266
101 N5e9631399fc145159d38e3e4ce74592d
102 N639ac667c1e348688ae83709b823251e
103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1128555142
104 https://doi.org/10.1007/s00330-020-06996-2
105 schema:sdDatePublished 2022-08-04T17:09
106 schema:sdLicense https://scigraph.springernature.com/explorer/license/
107 schema:sdPublisher Nc14ae50b3a4b4805ad7e482854157441
108 schema:url https://doi.org/10.1007/s00330-020-06996-2
109 sgo:license sg:explorer/license/
110 sgo:sdDataset articles
111 rdf:type schema:ScholarlyArticle
112 N04841a93bb9e4a7cbeba92083465a46d rdf:first sg:person.0660266326.16
113 rdf:rest rdf:nil
114 N072ac719f4524ba2b2abac6d2480c0c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Imaging, Three-Dimensional
116 rdf:type schema:DefinedTerm
117 N0ff04e4ce3ab462eb724391889c20f76 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Pancreas
119 rdf:type schema:DefinedTerm
120 N232f1d59dbe64504af63886f921826db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Pancreatic Neoplasms
122 rdf:type schema:DefinedTerm
123 N24e2fe8932754de68c3381da51c3aa1c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Middle Aged
125 rdf:type schema:DefinedTerm
126 N2a2a7e601e9e4d86aed82ce0d27c356d schema:volumeNumber 30
127 rdf:type schema:PublicationVolume
128 N2f900609ddb94da48dcd8aaf860562f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Female
130 rdf:type schema:DefinedTerm
131 N3c524335e78e40f794f3a773fc153c2f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Aged, 80 and over
133 rdf:type schema:DefinedTerm
134 N43d0e9c4649e4ee9b37fe1e767d98b04 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Image Processing, Computer-Assisted
136 rdf:type schema:DefinedTerm
137 N472e63e9c2e6433d9bc4e283e5a2bb47 rdf:first sg:person.01265072446.59
138 rdf:rest N97a2f35255b041ed8497a6dd90fb0f34
139 N488e509cce044e22b343be87ff7c70f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Pancreatic Ducts
141 rdf:type schema:DefinedTerm
142 N4c53ecb8d1e24fa084faf08bcf3581e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Aged
144 rdf:type schema:DefinedTerm
145 N4f0bce91b7cd455493b5e75f11e52266 schema:name doi
146 schema:value 10.1007/s00330-020-06996-2
147 rdf:type schema:PropertyValue
148 N5e9631399fc145159d38e3e4ce74592d schema:name pubmed_id
149 schema:value 32556465
150 rdf:type schema:PropertyValue
151 N639ac667c1e348688ae83709b823251e schema:name dimensions_id
152 schema:value pub.1128555142
153 rdf:type schema:PropertyValue
154 N78692b533bc14b9ebda04aa9bbbee6a9 schema:issueNumber 11
155 rdf:type schema:PublicationIssue
156 N7def455a5ae543d78eb3a503443b989f rdf:first sg:person.0622433553.70
157 rdf:rest N472e63e9c2e6433d9bc4e283e5a2bb47
158 N80e0d38828c54369a09a254040a2da7a rdf:first sg:person.0755772617.78
159 rdf:rest N7def455a5ae543d78eb3a503443b989f
160 N8a0ff1f00aff4268807aee3d7cf0d1c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Pressure
162 rdf:type schema:DefinedTerm
163 N97a2f35255b041ed8497a6dd90fb0f34 rdf:first sg:person.0716233473.08
164 rdf:rest Nea2f1cae4b6247ebb247aff92d09034c
165 Nacc0715eabec4449abfb1dd8d81dd1e1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Humans
167 rdf:type schema:DefinedTerm
168 Nc14ae50b3a4b4805ad7e482854157441 schema:name Springer Nature - SN SciGraph project
169 rdf:type schema:Organization
170 Nd2e5e11450604741ad20e9bf06952b5b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Breath Holding
172 rdf:type schema:DefinedTerm
173 Ndd1c5046b26b453fb655e88d0e09e842 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Male
175 rdf:type schema:DefinedTerm
176 Nea2f1cae4b6247ebb247aff92d09034c rdf:first sg:person.0720776275.29
177 rdf:rest N04841a93bb9e4a7cbeba92083465a46d
178 Nf6ddf819eae147ab99abefeab59fb230 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Cholangiopancreatography, Magnetic Resonance
180 rdf:type schema:DefinedTerm
181 Nf756d5bc554f43f18f159877296a23b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Pancreatic Intraductal Neoplasms
183 rdf:type schema:DefinedTerm
184 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
185 schema:name Medical and Health Sciences
186 rdf:type schema:DefinedTerm
187 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
188 schema:name Clinical Sciences
189 rdf:type schema:DefinedTerm
190 sg:journal.1289120 schema:issn 0938-7994
191 1432-1084
192 schema:name European Radiology
193 schema:publisher Springer Nature
194 rdf:type schema:Periodical
195 sg:person.01265072446.59 schema:affiliation grid-institutes:grid.5361.1
196 schema:familyName Plaikner
197 schema:givenName Michaela
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265072446.59
199 rdf:type schema:Person
200 sg:person.0622433553.70 schema:affiliation grid-institutes:grid.5361.1
201 schema:familyName Steurer
202 schema:givenName Michael
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622433553.70
204 rdf:type schema:Person
205 sg:person.0660266326.16 schema:affiliation grid-institutes:grid.5361.1
206 schema:familyName Kremser
207 schema:givenName Christian
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660266326.16
209 rdf:type schema:Person
210 sg:person.0716233473.08 schema:affiliation grid-institutes:grid.5406.7
211 schema:familyName Weiland
212 schema:givenName Elisabeth
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716233473.08
214 rdf:type schema:Person
215 sg:person.0720776275.29 schema:affiliation grid-institutes:grid.5361.1
216 schema:familyName Jaschke
217 schema:givenName Werner
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720776275.29
219 rdf:type schema:Person
220 sg:person.0755772617.78 schema:affiliation grid-institutes:grid.5361.1
221 schema:familyName Henninger
222 schema:givenName Benjamin
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755772617.78
224 rdf:type schema:Person
225 sg:pub.10.1007/s00261-017-1451-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100188773
226 https://doi.org/10.1007/s00261-017-1451-6
227 rdf:type schema:CreativeWork
228 sg:pub.10.1007/s00261-018-01886-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111509096
229 https://doi.org/10.1007/s00261-018-01886-0
230 rdf:type schema:CreativeWork
231 grid-institutes:grid.5361.1 schema:alternateName Department of Radiology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
232 schema:name Department of Radiology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
233 rdf:type schema:Organization
234 grid-institutes:grid.5406.7 schema:alternateName Siemens Healthcare GmbH, Henkestraße 127, 91052, Erlangen, Germany
235 schema:name Siemens Healthcare GmbH, Henkestraße 127, 91052, Erlangen, Germany
236 rdf:type schema:Organization
 




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


...