Predictors of treatment response following aspiration sclerotherapy of hepatic cysts: an international pooled analysis of individual patient data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-02

AUTHORS

Titus F. M. Wijnands, Maxime Ronot, Tom J. G. Gevers, Julie Benzimra, Leo J. Schultze Kool, Valérie Vilgrain, Joost P. H. Drenth

ABSTRACT

OBJECTIVES: To identify predictive variables of treatment response following aspiration sclerotherapy of large symptomatic hepatic cysts. METHODS: We collected individual patient data from two tertiary referral centres and included all patients treated with aspiration sclerotherapy of a large (>5 cm), symptomatic hepatic cyst. At six months, clinical response was defined as complete or incomplete. Secondary, suboptimal technical response was defined as lower quartile of cyst reduction. Predictive variables of clinical and technical response were analyzed by logistic regression analysis. RESULTS: We included 86 patients (58 ± 10 years; female 90 %). Complete clinical response rate was 55 %. Median cyst diameter and volume reduction were 71 % (IQR 50-87 %) and 98 % (IRQ 88-100 %), respectively. Patients with complete clinical response had a significantly higher cyst reduction compared to incomplete responders (OR 1.02, 95 % CI 1.00-1.04). Aspiration of haemorrhagic cyst fluid (OR 4.39, 95 % CI 1.34-14.39) or a lower cyst reduction at one month (OR 1.06, 95 % CI 1.02-1.10) was associated with a suboptimal technical response at six months. CONCLUSION: Complete clinical response is associated with effective cyst reduction. Aspiration of haemorrhagic cyst fluid or a restricted diameter reduction at one month predicts a suboptimal technical treatment response, however, these variables did not predict symptom disappearance. KEY POINTS: • Aspiration sclerotherapy of hepatic cysts shows excellent clinical and technical efficacy. • Optimal clinical responders have a markedly higher cyst reduction. • Haemorrhagic aspirate and a strong fluid reaccumulation predict suboptimal cyst reduction. More... »

PAGES

741-748

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-016-4363-x

DOI

http://dx.doi.org/10.1007/s00330-016-4363-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030693905

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27180184


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": "Cysts", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drainage", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ethanol", 
        "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": "Liver Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Logistic Models", 
        "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": "Multivariate Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sclerosing Solutions", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sclerotherapy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Suction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surgery, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ultrasonography", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Radboud University Nijmegen Medical Centre", 
          "id": "https://www.grid.ac/institutes/grid.10417.33", 
          "name": [
            "Department of Gastroenterology and Hepatology, Radboud University Medical Center, code 455, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wijnands", 
        "givenName": "Titus F. M.", 
        "id": "sg:person.01304356416.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304356416.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Radiology, Beaujon University Hospitals Paris Nord Val de Seine, Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ronot", 
        "givenName": "Maxime", 
        "id": "sg:person.01025534354.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025534354.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Radboud University Nijmegen Medical Centre", 
          "id": "https://www.grid.ac/institutes/grid.10417.33", 
          "name": [
            "Department of Gastroenterology and Hepatology, Radboud University Medical Center, code 455, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gevers", 
        "givenName": "Tom J. G.", 
        "id": "sg:person.012016446224.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012016446224.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Radiology, Beaujon University Hospitals Paris Nord Val de Seine, Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Benzimra", 
        "givenName": "Julie", 
        "id": "sg:person.0676376400.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676376400.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Radboud University Nijmegen Medical Centre", 
          "id": "https://www.grid.ac/institutes/grid.10417.33", 
          "name": [
            "Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kool", 
        "givenName": "Leo J. Schultze", 
        "id": "sg:person.07736276767.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07736276767.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beaujon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411599.1", 
          "name": [
            "Department of Radiology, Beaujon University Hospitals Paris Nord Val de Seine, Clichy, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vilgrain", 
        "givenName": "Val\u00e9rie", 
        "id": "sg:person.0761705775.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761705775.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Radboud University Nijmegen Medical Centre", 
          "id": "https://www.grid.ac/institutes/grid.10417.33", 
          "name": [
            "Department of Gastroenterology and Hepatology, Radboud University Medical Center, code 455, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Drenth", 
        "givenName": "Joost P. H.", 
        "id": "sg:person.013526325617.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013526325617.26"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00198056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013635541", 
          "https://doi.org/10.1007/bf00198056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00198056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013635541", 
          "https://doi.org/10.1007/bf00198056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-014-3117-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015020243", 
          "https://doi.org/10.1007/s00330-014-3117-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10620-007-0121-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015782284", 
          "https://doi.org/10.1007/s10620-007-0121-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-007-0760-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016338733", 
          "https://doi.org/10.1007/s00330-007-0760-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-007-0760-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016338733", 
          "https://doi.org/10.1007/s00330-007-0760-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrgastro.2012.254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018266999", 
          "https://doi.org/10.1038/nrgastro.2012.254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-75756-3_16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018328190", 
          "https://doi.org/10.1007/978-3-642-75756-3_16"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10620-006-9120-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025329400", 
          "https://doi.org/10.1007/s10620-006-9120-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.24036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028801816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.24036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028801816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1386-6346(99)00067-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031603238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-9260(03)00165-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037937180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0009-9260(03)00165-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037937180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/1994/10372", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038099366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.1840400404", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041185426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-003-1923-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042713418", 
          "https://doi.org/10.1007/s00330-003-1923-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1051-0443(96)70767-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044884173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clinre.2013.09.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048298771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1478-3231.2010.02247.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049881380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1478-3231.2010.02247.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049881380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.crad.2005.04.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052694215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gie.2014.03.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053218463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1259/0007-1285-62-736-335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064557472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.05.0621", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069297620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.10.5292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069301183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.127.5.850", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069308710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.144.2.237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069313009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4318/tjg.2012.0349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072513940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02841850410006588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076958979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02841850410006588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076958979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3748/wjg.v13.i22.3095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077436510"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02841850802325974", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077694181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02841850802325974", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077694181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078390606", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.190.2.8284385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082738091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02841859709172116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083183181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/02841859709172116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083183181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/02841859709172116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102643452"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-02", 
    "datePublishedReg": "2017-02-01", 
    "description": "OBJECTIVES: To identify predictive variables of treatment response following aspiration sclerotherapy of large symptomatic hepatic cysts.\nMETHODS: We collected individual patient data from two tertiary referral centres and included all patients treated with aspiration sclerotherapy of a large (>5\u00a0cm), symptomatic hepatic cyst. At six months, clinical response was defined as complete or incomplete. Secondary, suboptimal technical response was defined as lower quartile of cyst reduction. Predictive variables of clinical and technical response were analyzed by logistic regression analysis.\nRESULTS: We included 86 patients (58\u2009\u00b1\u200910\u00a0years; female 90\u00a0%). Complete clinical response rate was 55\u00a0%. Median cyst diameter and volume reduction were 71\u00a0% (IQR 50-87\u00a0%) and 98\u00a0% (IRQ 88-100\u00a0%), respectively. Patients with complete clinical response had a significantly higher cyst reduction compared to incomplete responders (OR 1.02, 95\u00a0% CI 1.00-1.04). Aspiration of haemorrhagic cyst fluid (OR 4.39, 95\u00a0% CI 1.34-14.39) or a lower cyst reduction at one month (OR 1.06, 95\u00a0% CI 1.02-1.10) was associated with a suboptimal technical response at six months.\nCONCLUSION: Complete clinical response is associated with effective cyst reduction. Aspiration of haemorrhagic cyst fluid or a restricted diameter reduction at one month predicts a suboptimal technical treatment response, however, these variables did not predict symptom disappearance.\nKEY POINTS: \u2022 Aspiration sclerotherapy of hepatic cysts shows excellent clinical and technical efficacy. \u2022 Optimal clinical responders have a markedly higher cyst reduction. \u2022 Haemorrhagic aspirate and a strong fluid reaccumulation predict suboptimal cyst reduction.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-016-4363-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "27"
      }
    ], 
    "name": "Predictors of treatment response following aspiration sclerotherapy of hepatic cysts: an international pooled analysis of individual patient data", 
    "pagination": "741-748", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9238d6ee39048a50099834697d3a7a0cd0743a4c6393bf934c646f435642fb44"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27180184"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-016-4363-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030693905"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-016-4363-x", 
      "https://app.dimensions.ai/details/publication/pub.1030693905"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:11", 
    "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/v90/0000000367_0000000367/records_88253_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00330-016-4363-x"
  }
]
 

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/s00330-016-4363-x'

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/s00330-016-4363-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-016-4363-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-016-4363-x'


 

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

291 TRIPLES      21 PREDICATES      79 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-016-4363-x schema:about N0792f330aa4d4ecfa98c00486a9d81b0
2 N1539311c27df4946b9f1b8fd189ac808
3 N15ebe6813a31494c9b46e0952dc6fcc2
4 N3a586f80becf4d30893c84cbddfb83bf
5 N3b14d0b40e324a6289765ffea445627b
6 N58dd3f2fc45742228ba5fe2158cd1a15
7 N5957a1e02432465e9cdb70305fda2473
8 N729be8d9386d458a92afcb5dcd9f7ff4
9 N74200c8eac784ea786aee437387b50eb
10 N837246c153cb4f3391da8587e62f21bb
11 N856db91adf644375b53fbfc408b425c8
12 Na7026ca854664569a7b27b37de95ad0e
13 Naa5068d350f8415e843f97194b28528e
14 Naec54b5346424c9f8cf64650b4f2e45a
15 Nb5b9f8ce876d46928a6b9c6552f8ff29
16 Nbac28985b78d4439b487fefb670c2c7c
17 Nc747f8b685db4cd09b2651cf3181c005
18 Nd53caf9f4336417596110a23d114f642
19 Nedb3dccd868149efb187be04c116604d
20 anzsrc-for:11
21 anzsrc-for:1103
22 schema:author N8f497aae84ed496dad574d2a9baefae3
23 schema:citation sg:pub.10.1007/978-3-642-75756-3_16
24 sg:pub.10.1007/bf00198056
25 sg:pub.10.1007/s00330-003-1923-7
26 sg:pub.10.1007/s00330-007-0760-5
27 sg:pub.10.1007/s00330-014-3117-x
28 sg:pub.10.1007/s10620-006-9120-6
29 sg:pub.10.1007/s10620-007-0121-x
30 sg:pub.10.1038/nrgastro.2012.254
31 https://app.dimensions.ai/details/publication/pub.1078390606
32 https://doi.org/10.1002/hep.1840400404
33 https://doi.org/10.1002/hep.24036
34 https://doi.org/10.1016/j.clinre.2013.09.008
35 https://doi.org/10.1016/j.crad.2005.04.011
36 https://doi.org/10.1016/j.gie.2014.03.037
37 https://doi.org/10.1016/s0009-9260(03)00165-x
38 https://doi.org/10.1016/s1051-0443(96)70767-4
39 https://doi.org/10.1016/s1386-6346(99)00067-4
40 https://doi.org/10.1080/02841850410006588
41 https://doi.org/10.1080/02841850802325974
42 https://doi.org/10.1080/02841859709172116
43 https://doi.org/10.1111/j.1478-3231.2010.02247.x
44 https://doi.org/10.1148/radiology.190.2.8284385
45 https://doi.org/10.1155/1994/10372
46 https://doi.org/10.1259/0007-1285-62-736-335
47 https://doi.org/10.2214/ajr.05.0621
48 https://doi.org/10.2214/ajr.10.5292
49 https://doi.org/10.2214/ajr.127.5.850
50 https://doi.org/10.2214/ajr.144.2.237
51 https://doi.org/10.3109/02841859709172116
52 https://doi.org/10.3748/wjg.v13.i22.3095
53 https://doi.org/10.4318/tjg.2012.0349
54 schema:datePublished 2017-02
55 schema:datePublishedReg 2017-02-01
56 schema:description OBJECTIVES: To identify predictive variables of treatment response following aspiration sclerotherapy of large symptomatic hepatic cysts. METHODS: We collected individual patient data from two tertiary referral centres and included all patients treated with aspiration sclerotherapy of a large (>5 cm), symptomatic hepatic cyst. At six months, clinical response was defined as complete or incomplete. Secondary, suboptimal technical response was defined as lower quartile of cyst reduction. Predictive variables of clinical and technical response were analyzed by logistic regression analysis. RESULTS: We included 86 patients (58 ± 10 years; female 90 %). Complete clinical response rate was 55 %. Median cyst diameter and volume reduction were 71 % (IQR 50-87 %) and 98 % (IRQ 88-100 %), respectively. Patients with complete clinical response had a significantly higher cyst reduction compared to incomplete responders (OR 1.02, 95 % CI 1.00-1.04). Aspiration of haemorrhagic cyst fluid (OR 4.39, 95 % CI 1.34-14.39) or a lower cyst reduction at one month (OR 1.06, 95 % CI 1.02-1.10) was associated with a suboptimal technical response at six months. CONCLUSION: Complete clinical response is associated with effective cyst reduction. Aspiration of haemorrhagic cyst fluid or a restricted diameter reduction at one month predicts a suboptimal technical treatment response, however, these variables did not predict symptom disappearance. KEY POINTS: • Aspiration sclerotherapy of hepatic cysts shows excellent clinical and technical efficacy. • Optimal clinical responders have a markedly higher cyst reduction. • Haemorrhagic aspirate and a strong fluid reaccumulation predict suboptimal cyst reduction.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree true
60 schema:isPartOf Na18902c8b6a54822ae1cae26057f3cff
61 Ncfaf35e0ba6b4ff1acbcac690d830923
62 sg:journal.1289120
63 schema:name Predictors of treatment response following aspiration sclerotherapy of hepatic cysts: an international pooled analysis of individual patient data
64 schema:pagination 741-748
65 schema:productId N221d614f3989478f9e5616300e348b5c
66 Na97834215fc04cb0819ccae962e87805
67 Nd485dff516954eee8d5d015157583f58
68 Ndfc8b4422f504d248c2dc21d85039cd1
69 Nf7d63da1283449f9a27f4de7c51d474f
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030693905
71 https://doi.org/10.1007/s00330-016-4363-x
72 schema:sdDatePublished 2019-04-11T13:11
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher Nbcc7d96153ea455991629f0930bcc21c
75 schema:url http://link.springer.com/10.1007%2Fs00330-016-4363-x
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N0792f330aa4d4ecfa98c00486a9d81b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Aged
81 rdf:type schema:DefinedTerm
82 N1539311c27df4946b9f1b8fd189ac808 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Surgery, Computer-Assisted
84 rdf:type schema:DefinedTerm
85 N15ebe6813a31494c9b46e0952dc6fcc2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Multivariate Analysis
87 rdf:type schema:DefinedTerm
88 N221d614f3989478f9e5616300e348b5c schema:name nlm_unique_id
89 schema:value 9114774
90 rdf:type schema:PropertyValue
91 N3818608f18224094ad0c5b65c11ae9a1 rdf:first sg:person.0676376400.12
92 rdf:rest N3cc11a3b38fb4645b2de509a7ecede46
93 N3a586f80becf4d30893c84cbddfb83bf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Adult
95 rdf:type schema:DefinedTerm
96 N3b14d0b40e324a6289765ffea445627b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Male
98 rdf:type schema:DefinedTerm
99 N3cc11a3b38fb4645b2de509a7ecede46 rdf:first sg:person.07736276767.55
100 rdf:rest N6057176e1cbc4300ba4ea8cded80e3a5
101 N58dd3f2fc45742228ba5fe2158cd1a15 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Tomography, X-Ray Computed
103 rdf:type schema:DefinedTerm
104 N5957a1e02432465e9cdb70305fda2473 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Drainage
106 rdf:type schema:DefinedTerm
107 N6057176e1cbc4300ba4ea8cded80e3a5 rdf:first sg:person.0761705775.52
108 rdf:rest Nb4ca939575be443d8ccdc3c906b03279
109 N729be8d9386d458a92afcb5dcd9f7ff4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Female
111 rdf:type schema:DefinedTerm
112 N74200c8eac784ea786aee437387b50eb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Cysts
114 rdf:type schema:DefinedTerm
115 N837246c153cb4f3391da8587e62f21bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Liver Diseases
117 rdf:type schema:DefinedTerm
118 N856db91adf644375b53fbfc408b425c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Sclerosing Solutions
120 rdf:type schema:DefinedTerm
121 N8bab88ae7cd74efda546fcc3464c1b61 rdf:first sg:person.01025534354.12
122 rdf:rest Nb4c83477851e4e3db34a6e8c6c047b29
123 N8f497aae84ed496dad574d2a9baefae3 rdf:first sg:person.01304356416.21
124 rdf:rest N8bab88ae7cd74efda546fcc3464c1b61
125 Na18902c8b6a54822ae1cae26057f3cff schema:volumeNumber 27
126 rdf:type schema:PublicationVolume
127 Na7026ca854664569a7b27b37de95ad0e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Ultrasonography
129 rdf:type schema:DefinedTerm
130 Na97834215fc04cb0819ccae962e87805 schema:name readcube_id
131 schema:value 9238d6ee39048a50099834697d3a7a0cd0743a4c6393bf934c646f435642fb44
132 rdf:type schema:PropertyValue
133 Naa5068d350f8415e843f97194b28528e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Suction
135 rdf:type schema:DefinedTerm
136 Naec54b5346424c9f8cf64650b4f2e45a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Treatment Outcome
138 rdf:type schema:DefinedTerm
139 Nb4c83477851e4e3db34a6e8c6c047b29 rdf:first sg:person.012016446224.86
140 rdf:rest N3818608f18224094ad0c5b65c11ae9a1
141 Nb4ca939575be443d8ccdc3c906b03279 rdf:first sg:person.013526325617.26
142 rdf:rest rdf:nil
143 Nb5b9f8ce876d46928a6b9c6552f8ff29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Middle Aged
145 rdf:type schema:DefinedTerm
146 Nbac28985b78d4439b487fefb670c2c7c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Logistic Models
148 rdf:type schema:DefinedTerm
149 Nbcc7d96153ea455991629f0930bcc21c schema:name Springer Nature - SN SciGraph project
150 rdf:type schema:Organization
151 Nc747f8b685db4cd09b2651cf3181c005 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Ethanol
153 rdf:type schema:DefinedTerm
154 Ncfaf35e0ba6b4ff1acbcac690d830923 schema:issueNumber 2
155 rdf:type schema:PublicationIssue
156 Nd485dff516954eee8d5d015157583f58 schema:name doi
157 schema:value 10.1007/s00330-016-4363-x
158 rdf:type schema:PropertyValue
159 Nd53caf9f4336417596110a23d114f642 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Sclerotherapy
161 rdf:type schema:DefinedTerm
162 Ndfc8b4422f504d248c2dc21d85039cd1 schema:name pubmed_id
163 schema:value 27180184
164 rdf:type schema:PropertyValue
165 Nedb3dccd868149efb187be04c116604d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Humans
167 rdf:type schema:DefinedTerm
168 Nf7d63da1283449f9a27f4de7c51d474f schema:name dimensions_id
169 schema:value pub.1030693905
170 rdf:type schema:PropertyValue
171 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
172 schema:name Medical and Health Sciences
173 rdf:type schema:DefinedTerm
174 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
175 schema:name Clinical Sciences
176 rdf:type schema:DefinedTerm
177 sg:journal.1289120 schema:issn 0938-7994
178 1432-1084
179 schema:name European Radiology
180 rdf:type schema:Periodical
181 sg:person.01025534354.12 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
182 schema:familyName Ronot
183 schema:givenName Maxime
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025534354.12
185 rdf:type schema:Person
186 sg:person.012016446224.86 schema:affiliation https://www.grid.ac/institutes/grid.10417.33
187 schema:familyName Gevers
188 schema:givenName Tom J. G.
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012016446224.86
190 rdf:type schema:Person
191 sg:person.01304356416.21 schema:affiliation https://www.grid.ac/institutes/grid.10417.33
192 schema:familyName Wijnands
193 schema:givenName Titus F. M.
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304356416.21
195 rdf:type schema:Person
196 sg:person.013526325617.26 schema:affiliation https://www.grid.ac/institutes/grid.10417.33
197 schema:familyName Drenth
198 schema:givenName Joost P. H.
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013526325617.26
200 rdf:type schema:Person
201 sg:person.0676376400.12 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
202 schema:familyName Benzimra
203 schema:givenName Julie
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676376400.12
205 rdf:type schema:Person
206 sg:person.0761705775.52 schema:affiliation https://www.grid.ac/institutes/grid.411599.1
207 schema:familyName Vilgrain
208 schema:givenName Valérie
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761705775.52
210 rdf:type schema:Person
211 sg:person.07736276767.55 schema:affiliation https://www.grid.ac/institutes/grid.10417.33
212 schema:familyName Kool
213 schema:givenName Leo J. Schultze
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07736276767.55
215 rdf:type schema:Person
216 sg:pub.10.1007/978-3-642-75756-3_16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018328190
217 https://doi.org/10.1007/978-3-642-75756-3_16
218 rdf:type schema:CreativeWork
219 sg:pub.10.1007/bf00198056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013635541
220 https://doi.org/10.1007/bf00198056
221 rdf:type schema:CreativeWork
222 sg:pub.10.1007/s00330-003-1923-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042713418
223 https://doi.org/10.1007/s00330-003-1923-7
224 rdf:type schema:CreativeWork
225 sg:pub.10.1007/s00330-007-0760-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016338733
226 https://doi.org/10.1007/s00330-007-0760-5
227 rdf:type schema:CreativeWork
228 sg:pub.10.1007/s00330-014-3117-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015020243
229 https://doi.org/10.1007/s00330-014-3117-x
230 rdf:type schema:CreativeWork
231 sg:pub.10.1007/s10620-006-9120-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025329400
232 https://doi.org/10.1007/s10620-006-9120-6
233 rdf:type schema:CreativeWork
234 sg:pub.10.1007/s10620-007-0121-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015782284
235 https://doi.org/10.1007/s10620-007-0121-x
236 rdf:type schema:CreativeWork
237 sg:pub.10.1038/nrgastro.2012.254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018266999
238 https://doi.org/10.1038/nrgastro.2012.254
239 rdf:type schema:CreativeWork
240 https://app.dimensions.ai/details/publication/pub.1078390606 schema:CreativeWork
241 https://doi.org/10.1002/hep.1840400404 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041185426
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1002/hep.24036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028801816
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1016/j.clinre.2013.09.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048298771
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1016/j.crad.2005.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052694215
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/j.gie.2014.03.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053218463
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/s0009-9260(03)00165-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037937180
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/s1051-0443(96)70767-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044884173
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/s1386-6346(99)00067-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031603238
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1080/02841850410006588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076958979
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1080/02841850802325974 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077694181
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1080/02841859709172116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083183181
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1111/j.1478-3231.2010.02247.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049881380
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1148/radiology.190.2.8284385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082738091
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1155/1994/10372 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038099366
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1259/0007-1285-62-736-335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064557472
270 rdf:type schema:CreativeWork
271 https://doi.org/10.2214/ajr.05.0621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069297620
272 rdf:type schema:CreativeWork
273 https://doi.org/10.2214/ajr.10.5292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069301183
274 rdf:type schema:CreativeWork
275 https://doi.org/10.2214/ajr.127.5.850 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069308710
276 rdf:type schema:CreativeWork
277 https://doi.org/10.2214/ajr.144.2.237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069313009
278 rdf:type schema:CreativeWork
279 https://doi.org/10.3109/02841859709172116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102643452
280 rdf:type schema:CreativeWork
281 https://doi.org/10.3748/wjg.v13.i22.3095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077436510
282 rdf:type schema:CreativeWork
283 https://doi.org/10.4318/tjg.2012.0349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072513940
284 rdf:type schema:CreativeWork
285 https://www.grid.ac/institutes/grid.10417.33 schema:alternateName Radboud University Nijmegen Medical Centre
286 schema:name Department of Gastroenterology and Hepatology, Radboud University Medical Center, code 455, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
287 Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands
288 rdf:type schema:Organization
289 https://www.grid.ac/institutes/grid.411599.1 schema:alternateName Beaujon Hospital
290 schema:name Department of Radiology, Beaujon University Hospitals Paris Nord Val de Seine, Clichy, France
291 rdf:type schema:Organization
 




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


...