Ultrasound-guided percutaneous procedures in pancreatic diseases: new techniques and applications View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-01-22

AUTHORS

Mirko D’Onofrio, Alessandro Beleù, Riccardo De Robertis

ABSTRACT

Ultrasound (US) is not only an important diagnostic tool for the evaluation of the pancreas, but is also a fundamental imaging technique to guide percutaneous interventions for several pancreatic diseases (fluid aspiration and drainage; invasive diagnosis by means fine-needle aspiration and core-needle biopsy; tumour ablation by radiofrequency, microwaves, irreversible electroporation, cryoablation, and high-intensity focused US). Technical improvements, such as contrast media and fusion imaging, have recently increased precision and safety and reduced procedure-related complications. New treatment US techniques for the ablation of pancreatic tumours, such as contrast-enhanced US and multimodality fusion imaging, have been recently developed and have elicited a growing interest worldwide. The purpose of this article was to review the most up-to-date role of US in percutaneous procedures for pancreatic diseases. More... »

PAGES

2

References to SciGraph publications

  • 2006-07-13. Ultrasonography of the pancreas. 4. Contrast-enhanced imaging in ABDOMINAL RADIOLOGY
  • 2014-02-22. Intraprocedural contrast-enhanced ultrasound (CEUS) in liver percutaneous radiofrequency ablation: clinical impact and health technology assessment in INSIGHTS INTO IMAGING
  • 2015-09-16. Ultrasound-guided percutaneous fine-needle aspiration of solid pancreatic neoplasms: 10-year experience with more than 2,000 cases and a review of the literature in EUROPEAN RADIOLOGY
  • 2006-11-07. Radiofrequency ablation combined with palliative surgery may prolong survival of patients with advanced cancer of the pancreas in LANGENBECK'S ARCHIVES OF SURGERY
  • 2004-08-12. Imaging and Percutaneous Management of Acute Complicated Pancreatitis in CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
  • 1996-09. Capillary versus aspiration biopsy: Effect of needle size and length on the cytopathological specimen quality in CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
  • 2017-04-01. A meta-analysis of palliative treatment of pancreatic cancer with high intensity focused ultrasound in JOURNAL OF THERAPEUTIC ULTRASOUND
  • 2016-08-18. Role of local ablative techniques (Radiofrequency ablation and Irreversible Electroporation) in the treatment of pancreatic cancer in UPDATES IN SURGERY
  • 1998-08-01. Ultrasound-Guided Fine Needle Biopsy of Pancreatic Masses: Results of a Multicenter Study in THE AMERICAN JOURNAL OF GASTROENTEROLOGY
  • 2018-07-17. Indirect percutaneous core needle biopsy of solid pancreatic or peripancreatic lesions in ABDOMINAL RADIOLOGY
  • 2014-04-29. Advantages of percutaneous abdominal biopsy under PET-CT/ultrasound fusion imaging guidance: a pictorial essay in ABDOMINAL RADIOLOGY
  • 2012-09-29. Results of 100 pancreatic radiofrequency ablations in the context of a multimodal strategy for stage III ductal adenocarcinoma in LANGENBECK'S ARCHIVES OF SURGERY
  • 2018-10-04. Real-Time US-18FDG-PET/CT Image Fusion for Guidance of Thermal Ablation of 18FDG-PET-Positive Liver Metastases: The Added Value of Contrast Enhancement in CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s41747-018-0081-2

    DOI

    http://dx.doi.org/10.1186/s41747-018-0081-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111606130

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30671676


    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"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Radiology, G.B. Rossi Hospital \u2013 University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy", 
              "id": "http://www.grid.ac/institutes/grid.5611.3", 
              "name": [
                "Department of Radiology, G.B. Rossi Hospital \u2013 University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "D\u2019Onofrio", 
            "givenName": "Mirko", 
            "id": "sg:person.01030633356.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030633356.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Radiology, G.B. Rossi Hospital \u2013 University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy", 
              "id": "http://www.grid.ac/institutes/grid.5611.3", 
              "name": [
                "Department of Radiology, G.B. Rossi Hospital \u2013 University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bele\u00f9", 
            "givenName": "Alessandro", 
            "id": "sg:person.012043411610.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012043411610.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "PhD Programme in Inflammation, Immunity and Cancer, University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy", 
              "id": "http://www.grid.ac/institutes/grid.5611.3", 
              "name": [
                "PhD Programme in Inflammation, Immunity and Cancer, University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "De Robertis", 
            "givenName": "Riccardo", 
            "id": "sg:person.0662025740.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662025740.37"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf02570187", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039835528", 
              "https://doi.org/10.1007/bf02570187"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00423-006-0098-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044856654", 
              "https://doi.org/10.1007/s00423-006-0098-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00261-006-9010-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036666274", 
              "https://doi.org/10.1007/s00261-006-9010-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00423-012-1011-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042443121", 
              "https://doi.org/10.1007/s00423-012-1011-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00270-004-0037-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012502668", 
              "https://doi.org/10.1007/s00270-004-0037-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00261-018-1690-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105641018", 
              "https://doi.org/10.1007/s00261-018-1690-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-015-4003-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042545725", 
              "https://doi.org/10.1007/s00330-015-4003-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40349-017-0080-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084510707", 
              "https://doi.org/10.1186/s40349-017-0080-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13244-014-0315-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014709506", 
              "https://doi.org/10.1007/s13244-014-0315-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00270-018-2082-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107402245", 
              "https://doi.org/10.1007/s00270-018-2082-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13304-016-0385-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021362668", 
              "https://doi.org/10.1007/s13304-016-0385-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1111/j.1572-0241.1998.443_m.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061946793", 
              "https://doi.org/10.1111/j.1572-0241.1998.443_m.x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00261-014-0143-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001840050", 
              "https://doi.org/10.1007/s00261-014-0143-8"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-01-22", 
        "datePublishedReg": "2019-01-22", 
        "description": "Ultrasound (US) is not only an important diagnostic tool for the evaluation of the pancreas, but is also a fundamental imaging technique to guide percutaneous interventions for several pancreatic diseases (fluid aspiration and drainage; invasive diagnosis by means fine-needle aspiration and core-needle biopsy; tumour ablation by radiofrequency, microwaves, irreversible electroporation, cryoablation, and high-intensity focused US). Technical improvements, such as contrast media and fusion imaging, have recently increased precision and safety and reduced procedure-related complications. New treatment US techniques for the ablation of pancreatic tumours, such as contrast-enhanced US and multimodality fusion imaging, have been recently developed and have elicited a growing interest worldwide. The purpose of this article was to review the most up-to-date role of US in percutaneous procedures for pancreatic diseases.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s41747-018-0081-2", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1290418", 
            "issn": [
              "2509-9280"
            ], 
            "name": "European Radiology Experimental", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "3"
          }
        ], 
        "keywords": [
          "pancreatic disease", 
          "percutaneous procedures", 
          "fusion imaging", 
          "procedure-related complications", 
          "contrast-enhanced ultrasound", 
          "fundamental imaging technique", 
          "important diagnostic tool", 
          "percutaneous intervention", 
          "pancreatic tumors", 
          "date role", 
          "contrast medium", 
          "ultrasound-guided percutaneous procedures", 
          "US techniques", 
          "disease", 
          "ultrasound", 
          "diagnostic tool", 
          "imaging techniques", 
          "imaging", 
          "complications", 
          "tumors", 
          "pancreas", 
          "technical improvements", 
          "intervention", 
          "ablation", 
          "safety", 
          "procedure", 
          "evaluation", 
          "new technique", 
          "role", 
          "improvement", 
          "purpose", 
          "technique", 
          "tool", 
          "article", 
          "medium", 
          "interest", 
          "precision", 
          "applications", 
          "New treatment US techniques", 
          "treatment US techniques", 
          "multimodality fusion imaging"
        ], 
        "name": "Ultrasound-guided percutaneous procedures in pancreatic diseases: new techniques and applications", 
        "pagination": "2", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1111606130"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s41747-018-0081-2"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30671676"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s41747-018-0081-2", 
          "https://app.dimensions.ai/details/publication/pub.1111606130"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-11-01T18:35", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_796.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s41747-018-0081-2"
      }
    ]
     

    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.10.1186/s41747-018-0081-2'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s41747-018-0081-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s41747-018-0081-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s41747-018-0081-2'


     

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

    170 TRIPLES      22 PREDICATES      79 URIs      58 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s41747-018-0081-2 schema:about anzsrc-for:11
    2 anzsrc-for:1103
    3 schema:author N01b5e939163640ff95f52a1d0b45efb4
    4 schema:citation sg:pub.10.1007/bf02570187
    5 sg:pub.10.1007/s00261-006-9010-6
    6 sg:pub.10.1007/s00261-014-0143-8
    7 sg:pub.10.1007/s00261-018-1690-1
    8 sg:pub.10.1007/s00270-004-0037-1
    9 sg:pub.10.1007/s00270-018-2082-1
    10 sg:pub.10.1007/s00330-015-4003-x
    11 sg:pub.10.1007/s00423-006-0098-5
    12 sg:pub.10.1007/s00423-012-1011-z
    13 sg:pub.10.1007/s13244-014-0315-7
    14 sg:pub.10.1007/s13304-016-0385-9
    15 sg:pub.10.1111/j.1572-0241.1998.443_m.x
    16 sg:pub.10.1186/s40349-017-0080-4
    17 schema:datePublished 2019-01-22
    18 schema:datePublishedReg 2019-01-22
    19 schema:description Ultrasound (US) is not only an important diagnostic tool for the evaluation of the pancreas, but is also a fundamental imaging technique to guide percutaneous interventions for several pancreatic diseases (fluid aspiration and drainage; invasive diagnosis by means fine-needle aspiration and core-needle biopsy; tumour ablation by radiofrequency, microwaves, irreversible electroporation, cryoablation, and high-intensity focused US). Technical improvements, such as contrast media and fusion imaging, have recently increased precision and safety and reduced procedure-related complications. New treatment US techniques for the ablation of pancreatic tumours, such as contrast-enhanced US and multimodality fusion imaging, have been recently developed and have elicited a growing interest worldwide. The purpose of this article was to review the most up-to-date role of US in percutaneous procedures for pancreatic diseases.
    20 schema:genre article
    21 schema:inLanguage en
    22 schema:isAccessibleForFree true
    23 schema:isPartOf N21bfa8c8e7f94d4097ff0eca50a3c5c9
    24 N8d939a1cf690470c975c2cc951faed5d
    25 sg:journal.1290418
    26 schema:keywords New treatment US techniques
    27 US techniques
    28 ablation
    29 applications
    30 article
    31 complications
    32 contrast medium
    33 contrast-enhanced ultrasound
    34 date role
    35 diagnostic tool
    36 disease
    37 evaluation
    38 fundamental imaging technique
    39 fusion imaging
    40 imaging
    41 imaging techniques
    42 important diagnostic tool
    43 improvement
    44 interest
    45 intervention
    46 medium
    47 multimodality fusion imaging
    48 new technique
    49 pancreas
    50 pancreatic disease
    51 pancreatic tumors
    52 percutaneous intervention
    53 percutaneous procedures
    54 precision
    55 procedure
    56 procedure-related complications
    57 purpose
    58 role
    59 safety
    60 technical improvements
    61 technique
    62 tool
    63 treatment US techniques
    64 tumors
    65 ultrasound
    66 ultrasound-guided percutaneous procedures
    67 schema:name Ultrasound-guided percutaneous procedures in pancreatic diseases: new techniques and applications
    68 schema:pagination 2
    69 schema:productId N6fc486c460f9442d843ee457b5afd865
    70 Na9fabf36cab94af4bfa7e01def70fde9
    71 Nf7cbd73560b44c28b8a25f13c14e666d
    72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111606130
    73 https://doi.org/10.1186/s41747-018-0081-2
    74 schema:sdDatePublished 2021-11-01T18:35
    75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    76 schema:sdPublisher N9cff3c4aa01545d6921eb8b59c8e2726
    77 schema:url https://doi.org/10.1186/s41747-018-0081-2
    78 sgo:license sg:explorer/license/
    79 sgo:sdDataset articles
    80 rdf:type schema:ScholarlyArticle
    81 N01b5e939163640ff95f52a1d0b45efb4 rdf:first sg:person.01030633356.42
    82 rdf:rest N711641881da941738eed42f526fc48a0
    83 N21bfa8c8e7f94d4097ff0eca50a3c5c9 schema:volumeNumber 3
    84 rdf:type schema:PublicationVolume
    85 N4643efe9377f40409141874feb4ab9d9 rdf:first sg:person.0662025740.37
    86 rdf:rest rdf:nil
    87 N6fc486c460f9442d843ee457b5afd865 schema:name pubmed_id
    88 schema:value 30671676
    89 rdf:type schema:PropertyValue
    90 N711641881da941738eed42f526fc48a0 rdf:first sg:person.012043411610.41
    91 rdf:rest N4643efe9377f40409141874feb4ab9d9
    92 N8d939a1cf690470c975c2cc951faed5d schema:issueNumber 1
    93 rdf:type schema:PublicationIssue
    94 N9cff3c4aa01545d6921eb8b59c8e2726 schema:name Springer Nature - SN SciGraph project
    95 rdf:type schema:Organization
    96 Na9fabf36cab94af4bfa7e01def70fde9 schema:name doi
    97 schema:value 10.1186/s41747-018-0081-2
    98 rdf:type schema:PropertyValue
    99 Nf7cbd73560b44c28b8a25f13c14e666d schema:name dimensions_id
    100 schema:value pub.1111606130
    101 rdf:type schema:PropertyValue
    102 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    103 schema:name Medical and Health Sciences
    104 rdf:type schema:DefinedTerm
    105 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    106 schema:name Clinical Sciences
    107 rdf:type schema:DefinedTerm
    108 sg:journal.1290418 schema:issn 2509-9280
    109 schema:name European Radiology Experimental
    110 schema:publisher Springer Nature
    111 rdf:type schema:Periodical
    112 sg:person.01030633356.42 schema:affiliation grid-institutes:grid.5611.3
    113 schema:familyName D’Onofrio
    114 schema:givenName Mirko
    115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030633356.42
    116 rdf:type schema:Person
    117 sg:person.012043411610.41 schema:affiliation grid-institutes:grid.5611.3
    118 schema:familyName Beleù
    119 schema:givenName Alessandro
    120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012043411610.41
    121 rdf:type schema:Person
    122 sg:person.0662025740.37 schema:affiliation grid-institutes:grid.5611.3
    123 schema:familyName De Robertis
    124 schema:givenName Riccardo
    125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662025740.37
    126 rdf:type schema:Person
    127 sg:pub.10.1007/bf02570187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039835528
    128 https://doi.org/10.1007/bf02570187
    129 rdf:type schema:CreativeWork
    130 sg:pub.10.1007/s00261-006-9010-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036666274
    131 https://doi.org/10.1007/s00261-006-9010-6
    132 rdf:type schema:CreativeWork
    133 sg:pub.10.1007/s00261-014-0143-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001840050
    134 https://doi.org/10.1007/s00261-014-0143-8
    135 rdf:type schema:CreativeWork
    136 sg:pub.10.1007/s00261-018-1690-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105641018
    137 https://doi.org/10.1007/s00261-018-1690-1
    138 rdf:type schema:CreativeWork
    139 sg:pub.10.1007/s00270-004-0037-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012502668
    140 https://doi.org/10.1007/s00270-004-0037-1
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1007/s00270-018-2082-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107402245
    143 https://doi.org/10.1007/s00270-018-2082-1
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1007/s00330-015-4003-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042545725
    146 https://doi.org/10.1007/s00330-015-4003-x
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1007/s00423-006-0098-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044856654
    149 https://doi.org/10.1007/s00423-006-0098-5
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/s00423-012-1011-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1042443121
    152 https://doi.org/10.1007/s00423-012-1011-z
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/s13244-014-0315-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014709506
    155 https://doi.org/10.1007/s13244-014-0315-7
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/s13304-016-0385-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021362668
    158 https://doi.org/10.1007/s13304-016-0385-9
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1111/j.1572-0241.1998.443_m.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1061946793
    161 https://doi.org/10.1111/j.1572-0241.1998.443_m.x
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1186/s40349-017-0080-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084510707
    164 https://doi.org/10.1186/s40349-017-0080-4
    165 rdf:type schema:CreativeWork
    166 grid-institutes:grid.5611.3 schema:alternateName Department of Radiology, G.B. Rossi Hospital – University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
    167 PhD Programme in Inflammation, Immunity and Cancer, University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
    168 schema:name Department of Radiology, G.B. Rossi Hospital – University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
    169 PhD Programme in Inflammation, Immunity and Cancer, University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
    170 rdf:type schema:Organization
     




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


    ...