Qualitative analysis of small (≤2 cm) regenerative nodules, dysplastic nodules and well-differentiated HCCs with gadoxetic acid MRI View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Michele Di Martino, Michele Anzidei, Fulvio Zaccagna, Luca Saba, Sandro Bosco, Massimo Rossi, Stefano Ginanni Corradini, Carlo Catalano

ABSTRACT

BACKGROUND: The characterization of small lesions in cirrhotic patients is extremely difficult due to the overlap of imaging features among different entities in the step-way of the hepatocarcinogenesis. The aim of our study was to evaluate the role of gadoxetic-acid MRI in the differentiation of small (≤2 cm) well-differentiated hepatocellular carcinomas from regenerative and dysplastic nodules. METHODS: Seventy-three cirrhotic patients, with 118 focal liver lesions (≤2 cm) were prospectively recruited. MRI examination was performed with a 3T magnet and the study protocol included T1 - and T2-weighted pre-contrast sequences and T1 -weighted gadoxetic-acid enhanced post-contrast sequences obtained during the arterial, venous, late dynamic and hepatobiliary phases. All lesions were pathologically confirmed. Two radiologists blinded to clinical and pathological information evaluated two imaging datasets; another radiologist analysed the signal intensity characteristics of each lesion. Sensitivity, specificity and diagnostic accuracy were considered for statistical analysis. RESULTS: Good agreement was reported between the two readers (κ 0.70). Both readers reported a significantly improved sensitivity (57.7 and 66.2 vs 74.6 and 83.1) and diagnostic accuracy (0.717 and 0.778 vs 0.843 and 0.901) with the adjunction of the hepatobiliary phase 57.7 vs 74.6 and 66.2 vs 83.1 (p ≤ 0.04). CONCLUSIONS: Gadoxetic-acid MRI is a reliable tool for the characterization of HCC and lesions at high risk to further develop. More... »

PAGES

62

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12880-016-0165-5

DOI

http://dx.doi.org/10.1186/s12880-016-0165-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039210216

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27835984


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "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": "Carcinoma, Hepatocellular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Contrast Media", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diffusion Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gadolinium DTPA", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver Neoplasms", 
        "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": "Observer Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tumor Burden", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Sapienza, University of Rome, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Di Martino", 
        "givenName": "Michele", 
        "id": "sg:person.01277660452.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277660452.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Sapienza, University of Rome, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Anzidei", 
        "givenName": "Michele", 
        "id": "sg:person.0735362216.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735362216.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Sapienza, University of Rome, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zaccagna", 
        "givenName": "Fulvio", 
        "id": "sg:person.01105123162.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105123162.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Sapienza, University of Rome, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saba", 
        "givenName": "Luca", 
        "id": "sg:person.01332126323.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332126323.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Sapienza, University of Rome, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bosco", 
        "givenName": "Sandro", 
        "id": "sg:person.0667464506.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667464506.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Sapienza, University of Rome, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rossi", 
        "givenName": "Massimo", 
        "id": "sg:person.015416057100.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015416057100.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Sapienza, University of Rome, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ginanni Corradini", 
        "givenName": "Stefano", 
        "id": "sg:person.01152642124.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152642124.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Sapienza, University of Rome, Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Catalano", 
        "givenName": "Carlo", 
        "id": "sg:person.01250755056.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250755056.04"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00330-009-1431-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002515961", 
          "https://doi.org/10.1007/s00330-009-1431-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-009-1431-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002515961", 
          "https://doi.org/10.1007/s00330-009-1431-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-012-9952-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002687203", 
          "https://doi.org/10.1007/s00261-012-9952-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.12112517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006459051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.23685", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007526956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-010-1812-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007945235", 
          "https://doi.org/10.1007/s00330-010-1812-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-010-1812-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007945235", 
          "https://doi.org/10.1007/s00330-010-1812-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-012-2691-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010209458", 
          "https://doi.org/10.1007/s00330-012-2691-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.4780101211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010942807"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bpg.2004.10.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018179683"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2006.09.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026724552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/apt.12166", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026849180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000078478", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031037276"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.24199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032908435"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e31815d6929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034976938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e31815d6929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034976938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.218.1.r01ja2427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035404688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2342040278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039020338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.acra.2006.06.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041151491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-001-1142-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045027750", 
          "https://doi.org/10.1007/s00330-001-1142-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2012.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045133531"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.25681", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045457230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.219.2.r01ma40445", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048883837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-012-9950-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050313662", 
          "https://doi.org/10.1007/s00261-012-9950-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-010-2030-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051124035", 
          "https://doi.org/10.1007/s00330-010-2030-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-013-0009-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051156250", 
          "https://doi.org/10.1007/s00261-013-0009-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.1840380430", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053443896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-199809000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060184201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-199809000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060184201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-199809000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060184201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200001000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060184367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200001000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060184367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004424-200001000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060184367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/1566524033479546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069185538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.08.1262", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069299615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.08.1732", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069299811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3748/wjg.v19.i42.7433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071369928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077050211", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "BACKGROUND: The characterization of small lesions in cirrhotic patients is extremely difficult due to the overlap of imaging features among different entities in the step-way of the hepatocarcinogenesis. The aim of our study was to evaluate the role of gadoxetic-acid MRI in the differentiation of small (\u22642\u00a0cm) well-differentiated hepatocellular carcinomas from regenerative and dysplastic nodules.\nMETHODS: Seventy-three cirrhotic patients, with 118 focal liver lesions (\u22642\u00a0cm) were prospectively recruited. MRI examination was performed with a 3T magnet and the study protocol included T1 - and T2-weighted pre-contrast sequences and T1 -weighted gadoxetic-acid enhanced post-contrast sequences obtained during the arterial, venous, late dynamic and hepatobiliary phases. All lesions were pathologically confirmed. Two radiologists blinded to clinical and pathological information evaluated two imaging datasets; another radiologist analysed the signal intensity characteristics of each lesion. Sensitivity, specificity and diagnostic accuracy were considered for statistical analysis.\nRESULTS: Good agreement was reported between the two readers (\u03ba 0.70). Both readers reported a significantly improved sensitivity (57.7 and 66.2 vs 74.6 and 83.1) and diagnostic accuracy (0.717 and 0.778 vs 0.843 and 0.901) with the adjunction of the hepatobiliary phase 57.7 vs 74.6 and 66.2 vs 83.1 (p\u2009\u2264\u20090.04).\nCONCLUSIONS: Gadoxetic-acid MRI is a reliable tool for the characterization of HCC and lesions at high risk to further develop.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12880-016-0165-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024948", 
        "issn": [
          "1471-2342"
        ], 
        "name": "BMC Medical Imaging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "16"
      }
    ], 
    "name": "Qualitative analysis of small (\u22642 cm) regenerative nodules, dysplastic nodules and well-differentiated HCCs with gadoxetic acid MRI", 
    "pagination": "62", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "bac6bae97f4597cfc6cb9f464a9cc9d618939c3d4ee6bdc3cad722321b536f3f"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27835984"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968553"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12880-016-0165-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039210216"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12880-016-0165-5", 
      "https://app.dimensions.ai/details/publication/pub.1039210216"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:37", 
    "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/v90/0000000363_0000000363/records_70032_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12880-016-0165-5"
  }
]
 

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/s12880-016-0165-5'

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/s12880-016-0165-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12880-016-0165-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12880-016-0165-5'


 

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

289 TRIPLES      21 PREDICATES      78 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12880-016-0165-5 schema:about N1e0e797ddebb4fdf859f29ab861c1f39
2 N26f306c9d1094f08ba40ea279c4e6f18
3 N4578fcef33c7486e9ddb17c7522b6cbe
4 N53efd7b3619d48d9b2fc70d738bf29f8
5 N5de015c697034738a9db8aeb79685a19
6 N6f0d3d8150d9461f8fdc38218d5be4cd
7 N72b38390b88048b48e8cfd6092b2d7dd
8 N7e535b82ab1949ffbaf78e2b16834ff1
9 N8ad875a96ff94fe48eed5337ed64aea2
10 N93890e40db5d4e92a74d9012b34cb69d
11 N9da81f97578842948fb035585ce81395
12 Nb12191e0563b4402b3f0e0bca5bb6527
13 Nb4ca3d23aa904aab8ec68c24a7c6fc03
14 Nb9e9dd949d5940148ca71bbb82cf8b14
15 Nba6f7a798f1a4db99cd06415085ce716
16 Nbeffc554e3e84fc195635b8847af55e9
17 Nd61d6db876e1427b8e073a9a40ddd950
18 Nf46e7b4eb7f643c4ae5e26b39a7270a5
19 anzsrc-for:11
20 anzsrc-for:1103
21 schema:author Nffbad967c90944d3b2e90394a064d873
22 schema:citation sg:pub.10.1007/s00261-012-9950-y
23 sg:pub.10.1007/s00261-012-9952-9
24 sg:pub.10.1007/s00261-013-0009-5
25 sg:pub.10.1007/s00330-001-1142-z
26 sg:pub.10.1007/s00330-009-1431-5
27 sg:pub.10.1007/s00330-010-1812-9
28 sg:pub.10.1007/s00330-010-2030-1
29 sg:pub.10.1007/s00330-012-2691-z
30 https://app.dimensions.ai/details/publication/pub.1077050211
31 https://doi.org/10.1002/hep.1840380430
32 https://doi.org/10.1002/hep.24199
33 https://doi.org/10.1002/hep.25681
34 https://doi.org/10.1002/jmri.23685
35 https://doi.org/10.1002/sim.4780101211
36 https://doi.org/10.1016/j.acra.2006.06.016
37 https://doi.org/10.1016/j.bpg.2004.10.007
38 https://doi.org/10.1016/j.ejrad.2012.05.008
39 https://doi.org/10.1053/j.gastro.2006.09.014
40 https://doi.org/10.1097/00004424-199809000-00006
41 https://doi.org/10.1097/00004424-200001000-00003
42 https://doi.org/10.1097/rli.0b013e31815d6929
43 https://doi.org/10.1111/apt.12166
44 https://doi.org/10.1148/radiol.12112517
45 https://doi.org/10.1148/radiol.2342040278
46 https://doi.org/10.1148/radiology.218.1.r01ja2427
47 https://doi.org/10.1148/radiology.219.2.r01ma40445
48 https://doi.org/10.1159/000078478
49 https://doi.org/10.2174/1566524033479546
50 https://doi.org/10.2214/ajr.08.1262
51 https://doi.org/10.2214/ajr.08.1732
52 https://doi.org/10.3748/wjg.v19.i42.7433
53 schema:datePublished 2016-12
54 schema:datePublishedReg 2016-12-01
55 schema:description BACKGROUND: The characterization of small lesions in cirrhotic patients is extremely difficult due to the overlap of imaging features among different entities in the step-way of the hepatocarcinogenesis. The aim of our study was to evaluate the role of gadoxetic-acid MRI in the differentiation of small (≤2 cm) well-differentiated hepatocellular carcinomas from regenerative and dysplastic nodules. METHODS: Seventy-three cirrhotic patients, with 118 focal liver lesions (≤2 cm) were prospectively recruited. MRI examination was performed with a 3T magnet and the study protocol included T1 - and T2-weighted pre-contrast sequences and T1 -weighted gadoxetic-acid enhanced post-contrast sequences obtained during the arterial, venous, late dynamic and hepatobiliary phases. All lesions were pathologically confirmed. Two radiologists blinded to clinical and pathological information evaluated two imaging datasets; another radiologist analysed the signal intensity characteristics of each lesion. Sensitivity, specificity and diagnostic accuracy were considered for statistical analysis. RESULTS: Good agreement was reported between the two readers (κ 0.70). Both readers reported a significantly improved sensitivity (57.7 and 66.2 vs 74.6 and 83.1) and diagnostic accuracy (0.717 and 0.778 vs 0.843 and 0.901) with the adjunction of the hepatobiliary phase 57.7 vs 74.6 and 66.2 vs 83.1 (p ≤ 0.04). CONCLUSIONS: Gadoxetic-acid MRI is a reliable tool for the characterization of HCC and lesions at high risk to further develop.
56 schema:genre research_article
57 schema:inLanguage en
58 schema:isAccessibleForFree true
59 schema:isPartOf N5658f26f87f644c3abd1c7d09e467f44
60 Nfb0a64f151d14f9882457c863b4261fe
61 sg:journal.1024948
62 schema:name Qualitative analysis of small (≤2 cm) regenerative nodules, dysplastic nodules and well-differentiated HCCs with gadoxetic acid MRI
63 schema:pagination 62
64 schema:productId N3c852cf804ff400fae475736a479d937
65 N46d2532bb132450dbe6264389b79a3c8
66 N4b23385943c643e985525fddbabdb90f
67 N8e057c4350a64b63bbe2b6c93f1c61fe
68 Nf898e62004c048e2a5dccac120a84835
69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039210216
70 https://doi.org/10.1186/s12880-016-0165-5
71 schema:sdDatePublished 2019-04-11T12:37
72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
73 schema:sdPublisher Nae4b8bc1c5964d459d1d73df5fa0f9c3
74 schema:url https://link.springer.com/10.1186%2Fs12880-016-0165-5
75 sgo:license sg:explorer/license/
76 sgo:sdDataset articles
77 rdf:type schema:ScholarlyArticle
78 N0a91c767312943ad86e24aa2ba7b3ba6 rdf:first sg:person.01105123162.62
79 rdf:rest N9f70f2fa75ac416ea372273984cc4c1f
80 N1e0e797ddebb4fdf859f29ab861c1f39 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Adult
82 rdf:type schema:DefinedTerm
83 N26f306c9d1094f08ba40ea279c4e6f18 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Sensitivity and Specificity
85 rdf:type schema:DefinedTerm
86 N3c852cf804ff400fae475736a479d937 schema:name dimensions_id
87 schema:value pub.1039210216
88 rdf:type schema:PropertyValue
89 N3d9020656b57492db531efcb9dcca138 rdf:first sg:person.0667464506.45
90 rdf:rest Nef1f6f3a24eb4b5a8713be338147812b
91 N4578fcef33c7486e9ddb17c7522b6cbe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Young Adult
93 rdf:type schema:DefinedTerm
94 N46d2532bb132450dbe6264389b79a3c8 schema:name pubmed_id
95 schema:value 27835984
96 rdf:type schema:PropertyValue
97 N4b23385943c643e985525fddbabdb90f schema:name readcube_id
98 schema:value bac6bae97f4597cfc6cb9f464a9cc9d618939c3d4ee6bdc3cad722321b536f3f
99 rdf:type schema:PropertyValue
100 N53efd7b3619d48d9b2fc70d738bf29f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Humans
102 rdf:type schema:DefinedTerm
103 N5658f26f87f644c3abd1c7d09e467f44 schema:issueNumber 1
104 rdf:type schema:PublicationIssue
105 N5de015c697034738a9db8aeb79685a19 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Prospective Studies
107 rdf:type schema:DefinedTerm
108 N6f0d3d8150d9461f8fdc38218d5be4cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Female
110 rdf:type schema:DefinedTerm
111 N72b38390b88048b48e8cfd6092b2d7dd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Diffusion Magnetic Resonance Imaging
113 rdf:type schema:DefinedTerm
114 N7e535b82ab1949ffbaf78e2b16834ff1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Observer Variation
116 rdf:type schema:DefinedTerm
117 N8ad875a96ff94fe48eed5337ed64aea2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Gadolinium DTPA
119 rdf:type schema:DefinedTerm
120 N8e057c4350a64b63bbe2b6c93f1c61fe schema:name doi
121 schema:value 10.1186/s12880-016-0165-5
122 rdf:type schema:PropertyValue
123 N93890e40db5d4e92a74d9012b34cb69d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Middle Aged
125 rdf:type schema:DefinedTerm
126 N9604b63518c1419d9fa22a4220b66988 rdf:first sg:person.01152642124.15
127 rdf:rest Nf6a38b50d24c4db2af72cc589a3c1258
128 N9da81f97578842948fb035585ce81395 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Carcinoma, Hepatocellular
130 rdf:type schema:DefinedTerm
131 N9f70f2fa75ac416ea372273984cc4c1f rdf:first sg:person.01332126323.54
132 rdf:rest N3d9020656b57492db531efcb9dcca138
133 Nae4b8bc1c5964d459d1d73df5fa0f9c3 schema:name Springer Nature - SN SciGraph project
134 rdf:type schema:Organization
135 Nb12191e0563b4402b3f0e0bca5bb6527 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Contrast Media
137 rdf:type schema:DefinedTerm
138 Nb4ca3d23aa904aab8ec68c24a7c6fc03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Aged, 80 and over
140 rdf:type schema:DefinedTerm
141 Nb9e9dd949d5940148ca71bbb82cf8b14 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Tumor Burden
143 rdf:type schema:DefinedTerm
144 Nba6f7a798f1a4db99cd06415085ce716 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Aged
146 rdf:type schema:DefinedTerm
147 Nbeffc554e3e84fc195635b8847af55e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Image Interpretation, Computer-Assisted
149 rdf:type schema:DefinedTerm
150 Nd61d6db876e1427b8e073a9a40ddd950 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Male
152 rdf:type schema:DefinedTerm
153 Nef1f6f3a24eb4b5a8713be338147812b rdf:first sg:person.015416057100.01
154 rdf:rest N9604b63518c1419d9fa22a4220b66988
155 Nf46e7b4eb7f643c4ae5e26b39a7270a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Liver Neoplasms
157 rdf:type schema:DefinedTerm
158 Nf6659646b9d14b8ca5e36057d7c61d4a rdf:first sg:person.0735362216.50
159 rdf:rest N0a91c767312943ad86e24aa2ba7b3ba6
160 Nf6a38b50d24c4db2af72cc589a3c1258 rdf:first sg:person.01250755056.04
161 rdf:rest rdf:nil
162 Nf898e62004c048e2a5dccac120a84835 schema:name nlm_unique_id
163 schema:value 100968553
164 rdf:type schema:PropertyValue
165 Nfb0a64f151d14f9882457c863b4261fe schema:volumeNumber 16
166 rdf:type schema:PublicationVolume
167 Nffbad967c90944d3b2e90394a064d873 rdf:first sg:person.01277660452.20
168 rdf:rest Nf6659646b9d14b8ca5e36057d7c61d4a
169 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
170 schema:name Medical and Health Sciences
171 rdf:type schema:DefinedTerm
172 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
173 schema:name Clinical Sciences
174 rdf:type schema:DefinedTerm
175 sg:journal.1024948 schema:issn 1471-2342
176 schema:name BMC Medical Imaging
177 rdf:type schema:Periodical
178 sg:person.01105123162.62 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
179 schema:familyName Zaccagna
180 schema:givenName Fulvio
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105123162.62
182 rdf:type schema:Person
183 sg:person.01152642124.15 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
184 schema:familyName Ginanni Corradini
185 schema:givenName Stefano
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152642124.15
187 rdf:type schema:Person
188 sg:person.01250755056.04 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
189 schema:familyName Catalano
190 schema:givenName Carlo
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250755056.04
192 rdf:type schema:Person
193 sg:person.01277660452.20 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
194 schema:familyName Di Martino
195 schema:givenName Michele
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277660452.20
197 rdf:type schema:Person
198 sg:person.01332126323.54 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
199 schema:familyName Saba
200 schema:givenName Luca
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332126323.54
202 rdf:type schema:Person
203 sg:person.015416057100.01 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
204 schema:familyName Rossi
205 schema:givenName Massimo
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015416057100.01
207 rdf:type schema:Person
208 sg:person.0667464506.45 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
209 schema:familyName Bosco
210 schema:givenName Sandro
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667464506.45
212 rdf:type schema:Person
213 sg:person.0735362216.50 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
214 schema:familyName Anzidei
215 schema:givenName Michele
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735362216.50
217 rdf:type schema:Person
218 sg:pub.10.1007/s00261-012-9950-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1050313662
219 https://doi.org/10.1007/s00261-012-9950-y
220 rdf:type schema:CreativeWork
221 sg:pub.10.1007/s00261-012-9952-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002687203
222 https://doi.org/10.1007/s00261-012-9952-9
223 rdf:type schema:CreativeWork
224 sg:pub.10.1007/s00261-013-0009-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051156250
225 https://doi.org/10.1007/s00261-013-0009-5
226 rdf:type schema:CreativeWork
227 sg:pub.10.1007/s00330-001-1142-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1045027750
228 https://doi.org/10.1007/s00330-001-1142-z
229 rdf:type schema:CreativeWork
230 sg:pub.10.1007/s00330-009-1431-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002515961
231 https://doi.org/10.1007/s00330-009-1431-5
232 rdf:type schema:CreativeWork
233 sg:pub.10.1007/s00330-010-1812-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007945235
234 https://doi.org/10.1007/s00330-010-1812-9
235 rdf:type schema:CreativeWork
236 sg:pub.10.1007/s00330-010-2030-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051124035
237 https://doi.org/10.1007/s00330-010-2030-1
238 rdf:type schema:CreativeWork
239 sg:pub.10.1007/s00330-012-2691-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1010209458
240 https://doi.org/10.1007/s00330-012-2691-z
241 rdf:type schema:CreativeWork
242 https://app.dimensions.ai/details/publication/pub.1077050211 schema:CreativeWork
243 https://doi.org/10.1002/hep.1840380430 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053443896
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1002/hep.24199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032908435
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1002/hep.25681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045457230
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1002/jmri.23685 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007526956
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1002/sim.4780101211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010942807
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/j.acra.2006.06.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041151491
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/j.bpg.2004.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018179683
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1016/j.ejrad.2012.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045133531
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1053/j.gastro.2006.09.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026724552
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1097/00004424-199809000-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060184201
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1097/00004424-200001000-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060184367
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1097/rli.0b013e31815d6929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034976938
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1111/apt.12166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026849180
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1148/radiol.12112517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006459051
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1148/radiol.2342040278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039020338
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1148/radiology.218.1.r01ja2427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035404688
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1148/radiology.219.2.r01ma40445 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048883837
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1159/000078478 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031037276
278 rdf:type schema:CreativeWork
279 https://doi.org/10.2174/1566524033479546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069185538
280 rdf:type schema:CreativeWork
281 https://doi.org/10.2214/ajr.08.1262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069299615
282 rdf:type schema:CreativeWork
283 https://doi.org/10.2214/ajr.08.1732 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069299811
284 rdf:type schema:CreativeWork
285 https://doi.org/10.3748/wjg.v19.i42.7433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071369928
286 rdf:type schema:CreativeWork
287 https://www.grid.ac/institutes/grid.7841.a schema:alternateName Sapienza University of Rome
288 schema:name Sapienza, University of Rome, Rome, Italy
289 rdf:type schema:Organization
 




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


...