Post-hepatectomy liver failure after major hepatic surgery: not only size matters View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-05-16

AUTHORS

Ulrika Asenbaum, Klaus Kaczirek, Ahmed Ba-Ssalamah, Helmut Ringl, Christoph Schwarz, Fredrik Waneck, Fabian Fitschek, Christian Loewe, Richard Nolz

ABSTRACT

OBJECTIVES: To compare the value of functional future liver remnant (functFLR) to established clinical and imaging variables in prediction of post-hepatectomy liver failure (PHLF) after major liver resection. METHODS: This retrospective, cross-sectional study included 62 patients, who underwent gadoxetic acid enhanced MRI and MDCT within 10 weeks prior to resection of ≥ 4 liver segments. Future liver remnant (FLR) was measured in MDCT using semi-automatic software. Relative liver enhancement for each FLR segment was calculated as the ratio of signal intensity of parenchyma before and 20 min after i.v. administration of gadoxetic acid and given as mean (remnantRLE). Established variables included indocyanine green clearance, FLR, proportion of FLR, weight-adapted FLR and remnantRLE. functFLR was calculated as FLR multiplied by remnantRLE and divided by patient's weight. The association of measured variables and PHLF was tested with univariate and multivariate logistic regression analysis and receiver operator characteristics (ROC) curves compared with the DeLong method. RESULTS: Sixteen patients (25.8%) experienced PHLF. Univariate logistic regression identified FLR (p = 0.015), proportion of FLR (p = 0.004), weight-adapted FLR (p = 0.003), remnantRLE (p = 0.002) and functFLR (p = 0.002) to be significantly related to the probability of PHLF. In multivariate logistic regression analysis, a decreased functFLR was independently associated with the probability of PHLF (0.561; p = 0.002). Comparing ROC curves, functFLR showed a significantly higher area under the curve (0.904; p < 0.001) than established variables. CONCLUSIONS: functFLR seems to be superior to established variables in prediction of PHLF after major liver resection. KEY POINTS: • functFLR is a parameter combining volumetric and functional imaging information, derived from MDCT and gadoxetic acid enhanced MRI. • In comparison to other established methods, functFLR is superior in prediction of post-hepatectomy liver failure. • functFLR could help to improve patient selection prior major hepatic surgery. More... »

PAGES

4748-4756

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-018-5487-y

DOI

http://dx.doi.org/10.1007/s00330-018-5487-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104014833

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29767320


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "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": "Hepatectomy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Indocyanine Green", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver Failure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver Function Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Logistic Models", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "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": "Postoperative Complications", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.411904.9", 
          "name": [
            "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Asenbaum", 
        "givenName": "Ulrika", 
        "id": "sg:person.01220270742.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220270742.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.411904.9", 
          "name": [
            "Department of Surgery, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kaczirek", 
        "givenName": "Klaus", 
        "id": "sg:person.01163404744.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163404744.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.411904.9", 
          "name": [
            "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ba-Ssalamah", 
        "givenName": "Ahmed", 
        "id": "sg:person.0610263641.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610263641.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.411904.9", 
          "name": [
            "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ringl", 
        "givenName": "Helmut", 
        "id": "sg:person.01325507765.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325507765.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.411904.9", 
          "name": [
            "Department of Surgery, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schwarz", 
        "givenName": "Christoph", 
        "id": "sg:person.01155322160.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155322160.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.411904.9", 
          "name": [
            "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Waneck", 
        "givenName": "Fredrik", 
        "id": "sg:person.01325555510.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325555510.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.411904.9", 
          "name": [
            "Department of Surgery, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fitschek", 
        "givenName": "Fabian", 
        "id": "sg:person.07412734763.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07412734763.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.411904.9", 
          "name": [
            "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Loewe", 
        "givenName": "Christian", 
        "id": "sg:person.01136251456.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136251456.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria", 
          "id": "http://www.grid.ac/institutes/grid.411904.9", 
          "name": [
            "Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nolz", 
        "givenName": "Richard", 
        "id": "sg:person.01262476653.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262476653.20"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00330-015-3994-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053371518", 
          "https://doi.org/10.1007/s00330-015-3994-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00268-014-2929-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042467728", 
          "https://doi.org/10.1007/s00268-014-2929-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11605-007-0323-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015990188", 
          "https://doi.org/10.1007/s11605-007-0323-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-014-3291-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031725856", 
          "https://doi.org/10.1007/s00330-014-3291-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00268-008-9878-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030496602", 
          "https://doi.org/10.1007/s00268-008-9878-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-015-3919-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051626684", 
          "https://doi.org/10.1007/s00330-015-3919-5"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-05-16", 
    "datePublishedReg": "2018-05-16", 
    "description": "OBJECTIVES: To compare the value of functional future liver remnant (functFLR) to established clinical and imaging variables in prediction of post-hepatectomy liver failure (PHLF) after major liver resection.\nMETHODS: This retrospective, cross-sectional study included 62 patients, who underwent gadoxetic acid enhanced MRI and MDCT within 10 weeks prior to resection of \u2265 4 liver segments. Future liver remnant (FLR) was measured in MDCT using semi-automatic software. Relative liver enhancement for each FLR segment was calculated as the ratio of signal intensity of parenchyma before and 20 min after i.v. administration of gadoxetic acid and given as mean (remnantRLE). Established variables included indocyanine green clearance, FLR, proportion of FLR, weight-adapted FLR and remnantRLE. functFLR was calculated as FLR multiplied by remnantRLE and divided by patient's weight. The association of measured variables and PHLF was tested with univariate and multivariate logistic regression analysis and receiver operator characteristics (ROC) curves compared with the DeLong method.\nRESULTS: Sixteen patients (25.8%) experienced PHLF. Univariate logistic regression identified FLR (p = 0.015), proportion of FLR (p = 0.004), weight-adapted FLR (p = 0.003), remnantRLE (p = 0.002) and functFLR (p = 0.002) to be significantly related to the probability of PHLF. In multivariate logistic regression analysis, a decreased functFLR was independently associated with the probability of PHLF (0.561; p = 0.002). Comparing ROC curves, functFLR showed a significantly higher area under the curve (0.904; p < 0.001) than established variables.\nCONCLUSIONS: functFLR seems to be superior to established variables in prediction of PHLF after major liver resection.\nKEY POINTS: \u2022 functFLR is a parameter combining volumetric and functional imaging information, derived from MDCT and gadoxetic acid enhanced MRI. \u2022 In comparison to other established methods, functFLR is superior in prediction of post-hepatectomy liver failure. \u2022 functFLR could help to improve patient selection prior major hepatic surgery.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00330-018-5487-y", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "28"
      }
    ], 
    "keywords": [
      "post-hepatectomy liver failure", 
      "future liver remnant", 
      "major liver resection", 
      "major hepatic surgery", 
      "logistic regression analysis", 
      "liver failure", 
      "gadoxetic acid", 
      "liver resection", 
      "liver remnant", 
      "hepatic surgery", 
      "multivariate logistic regression analysis", 
      "indocyanine green clearance", 
      "receiver operator characteristic curve", 
      "cross-sectional study", 
      "relative liver enhancement", 
      "regression analysis", 
      "operator characteristic curve", 
      "patient weight", 
      "liver enhancement", 
      "liver segments", 
      "imaging variables", 
      "DeLong method", 
      "resection", 
      "logistic regression", 
      "functional imaging information", 
      "MDCT", 
      "ROC curve", 
      "semi-automatic software", 
      "characteristic curve", 
      "patients", 
      "surgery", 
      "MRI", 
      "highest area", 
      "imaging information", 
      "signal intensity", 
      "failure", 
      "proportion", 
      "parenchyma", 
      "administration", 
      "weeks", 
      "clearance", 
      "univariate", 
      "weight", 
      "association", 
      "acid", 
      "regression", 
      "variables", 
      "min", 
      "segments", 
      "remnants", 
      "curves", 
      "study", 
      "analysis", 
      "size matter", 
      "ratio", 
      "method", 
      "comparison", 
      "area", 
      "probability", 
      "information", 
      "values", 
      "intensity", 
      "enhancement", 
      "prediction", 
      "parameters", 
      "matter", 
      "software", 
      "functional future liver remnant", 
      "FLR segment", 
      "green clearance", 
      "proportion of FLR", 
      "weight-adapted FLR", 
      "remnantRLE", 
      "functFLR", 
      "probability of PHLF", 
      "decreased functFLR", 
      "established variables", 
      "prediction of PHLF", 
      "patient selection prior major hepatic surgery", 
      "selection prior major hepatic surgery", 
      "prior major hepatic surgery"
    ], 
    "name": "Post-hepatectomy liver failure after major hepatic surgery: not only size matters", 
    "pagination": "4748-4756", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1104014833"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-018-5487-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29767320"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-018-5487-y", 
      "https://app.dimensions.ai/details/publication/pub.1104014833"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:41", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_778.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00330-018-5487-y"
  }
]
 

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/s00330-018-5487-y'

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/s00330-018-5487-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-018-5487-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-018-5487-y'


 

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

297 TRIPLES      22 PREDICATES      131 URIs      117 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-018-5487-y schema:about N1c97b5302ac54ab6975f880ddf8857c7
2 N27ae7d350c7e46a29e1eea76e41a0aa8
3 N33b11e175c314041a818faf4c45af72e
4 N33bef7abc5d744d1893c5c4252a416de
5 N383c150066ab4220b6bcbca2ce9daab1
6 N71995353670f4613b335e4faad8e1a72
7 N77467b8caaf04433bf17e254555830db
8 N990cd00dccd641ccb42d931891865c41
9 N9ac2409565074b11997f9c22f36df6e7
10 Nafe62a3a3a2a40d0aaa59601b97bf9bb
11 Nb31963fdefa04922b8e2e6362d3e4eb2
12 Nbef5ed3813464337bfb8aa03b86f403e
13 Ne11161a308884ff289da5e3cce1fae40
14 Ne24920c95387448d971c7c23212f1d3b
15 Ne71f44a391cc4fe49d9cb11e181ce96a
16 Nf4a7b7fee48243bd9071b52c2aee2398
17 Nfa9b18212aa24824ad86b4ab50e2b80d
18 Nfeff0fd0658849a99ea9195169609f67
19 anzsrc-for:11
20 anzsrc-for:1103
21 schema:author N541fea67dea847b8932073d150fbb455
22 schema:citation sg:pub.10.1007/s00268-008-9878-0
23 sg:pub.10.1007/s00268-014-2929-9
24 sg:pub.10.1007/s00330-014-3291-x
25 sg:pub.10.1007/s00330-015-3919-5
26 sg:pub.10.1007/s00330-015-3994-7
27 sg:pub.10.1007/s11605-007-0323-8
28 schema:datePublished 2018-05-16
29 schema:datePublishedReg 2018-05-16
30 schema:description OBJECTIVES: To compare the value of functional future liver remnant (functFLR) to established clinical and imaging variables in prediction of post-hepatectomy liver failure (PHLF) after major liver resection. METHODS: This retrospective, cross-sectional study included 62 patients, who underwent gadoxetic acid enhanced MRI and MDCT within 10 weeks prior to resection of ≥ 4 liver segments. Future liver remnant (FLR) was measured in MDCT using semi-automatic software. Relative liver enhancement for each FLR segment was calculated as the ratio of signal intensity of parenchyma before and 20 min after i.v. administration of gadoxetic acid and given as mean (remnantRLE). Established variables included indocyanine green clearance, FLR, proportion of FLR, weight-adapted FLR and remnantRLE. functFLR was calculated as FLR multiplied by remnantRLE and divided by patient's weight. The association of measured variables and PHLF was tested with univariate and multivariate logistic regression analysis and receiver operator characteristics (ROC) curves compared with the DeLong method. RESULTS: Sixteen patients (25.8%) experienced PHLF. Univariate logistic regression identified FLR (p = 0.015), proportion of FLR (p = 0.004), weight-adapted FLR (p = 0.003), remnantRLE (p = 0.002) and functFLR (p = 0.002) to be significantly related to the probability of PHLF. In multivariate logistic regression analysis, a decreased functFLR was independently associated with the probability of PHLF (0.561; p = 0.002). Comparing ROC curves, functFLR showed a significantly higher area under the curve (0.904; p < 0.001) than established variables. CONCLUSIONS: functFLR seems to be superior to established variables in prediction of PHLF after major liver resection. KEY POINTS: • functFLR is a parameter combining volumetric and functional imaging information, derived from MDCT and gadoxetic acid enhanced MRI. • In comparison to other established methods, functFLR is superior in prediction of post-hepatectomy liver failure. • functFLR could help to improve patient selection prior major hepatic surgery.
31 schema:genre article
32 schema:inLanguage en
33 schema:isAccessibleForFree true
34 schema:isPartOf N2f3c224a886b4030985f5a93536de5f8
35 N8a01bac8575d413db68ada6850a075bd
36 sg:journal.1289120
37 schema:keywords DeLong method
38 FLR segment
39 MDCT
40 MRI
41 ROC curve
42 acid
43 administration
44 analysis
45 area
46 association
47 characteristic curve
48 clearance
49 comparison
50 cross-sectional study
51 curves
52 decreased functFLR
53 enhancement
54 established variables
55 failure
56 functFLR
57 functional future liver remnant
58 functional imaging information
59 future liver remnant
60 gadoxetic acid
61 green clearance
62 hepatic surgery
63 highest area
64 imaging information
65 imaging variables
66 indocyanine green clearance
67 information
68 intensity
69 liver enhancement
70 liver failure
71 liver remnant
72 liver resection
73 liver segments
74 logistic regression
75 logistic regression analysis
76 major hepatic surgery
77 major liver resection
78 matter
79 method
80 min
81 multivariate logistic regression analysis
82 operator characteristic curve
83 parameters
84 parenchyma
85 patient selection prior major hepatic surgery
86 patient weight
87 patients
88 post-hepatectomy liver failure
89 prediction
90 prediction of PHLF
91 prior major hepatic surgery
92 probability
93 probability of PHLF
94 proportion
95 proportion of FLR
96 ratio
97 receiver operator characteristic curve
98 regression
99 regression analysis
100 relative liver enhancement
101 remnantRLE
102 remnants
103 resection
104 segments
105 selection prior major hepatic surgery
106 semi-automatic software
107 signal intensity
108 size matter
109 software
110 study
111 surgery
112 univariate
113 values
114 variables
115 weeks
116 weight
117 weight-adapted FLR
118 schema:name Post-hepatectomy liver failure after major hepatic surgery: not only size matters
119 schema:pagination 4748-4756
120 schema:productId N272675c75b2f4ee9a4c098d9e7151e27
121 N51df091983f64971ad4694cab964927c
122 Nbdee738f70b345c8a030c450fbb349b8
123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104014833
124 https://doi.org/10.1007/s00330-018-5487-y
125 schema:sdDatePublished 2021-12-01T19:41
126 schema:sdLicense https://scigraph.springernature.com/explorer/license/
127 schema:sdPublisher N9c855b1b70ae4cdf92826ec73e1deeb3
128 schema:url https://doi.org/10.1007/s00330-018-5487-y
129 sgo:license sg:explorer/license/
130 sgo:sdDataset articles
131 rdf:type schema:ScholarlyArticle
132 N1537f099a3ef422d969e2d90eb1064d7 rdf:first sg:person.01325555510.11
133 rdf:rest Na0ace142d7424cbc8d02d6694d6d1a6f
134 N1c97b5302ac54ab6975f880ddf8857c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Indocyanine Green
136 rdf:type schema:DefinedTerm
137 N272675c75b2f4ee9a4c098d9e7151e27 schema:name pubmed_id
138 schema:value 29767320
139 rdf:type schema:PropertyValue
140 N27ae7d350c7e46a29e1eea76e41a0aa8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Gadolinium DTPA
142 rdf:type schema:DefinedTerm
143 N2f3c224a886b4030985f5a93536de5f8 schema:volumeNumber 28
144 rdf:type schema:PublicationVolume
145 N33b11e175c314041a818faf4c45af72e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Magnetic Resonance Imaging
147 rdf:type schema:DefinedTerm
148 N33bef7abc5d744d1893c5c4252a416de schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Liver Failure
150 rdf:type schema:DefinedTerm
151 N383c150066ab4220b6bcbca2ce9daab1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Middle Aged
153 rdf:type schema:DefinedTerm
154 N4d6177370d474099b6b8927a895631ac rdf:first sg:person.01325507765.65
155 rdf:rest N55b2e23b0491406190e340bb9dc4fce9
156 N51df091983f64971ad4694cab964927c schema:name doi
157 schema:value 10.1007/s00330-018-5487-y
158 rdf:type schema:PropertyValue
159 N541fea67dea847b8932073d150fbb455 rdf:first sg:person.01220270742.44
160 rdf:rest N889f150fa23f43cc954143518dd2ebd9
161 N55b2e23b0491406190e340bb9dc4fce9 rdf:first sg:person.01155322160.90
162 rdf:rest N1537f099a3ef422d969e2d90eb1064d7
163 N71995353670f4613b335e4faad8e1a72 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Hepatectomy
165 rdf:type schema:DefinedTerm
166 N77467b8caaf04433bf17e254555830db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Postoperative Complications
168 rdf:type schema:DefinedTerm
169 N889f150fa23f43cc954143518dd2ebd9 rdf:first sg:person.01163404744.70
170 rdf:rest Ncb319be6406a4bf4b1dc071c503212cc
171 N8a01bac8575d413db68ada6850a075bd schema:issueNumber 11
172 rdf:type schema:PublicationIssue
173 N990cd00dccd641ccb42d931891865c41 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Retrospective Studies
175 rdf:type schema:DefinedTerm
176 N9ac2409565074b11997f9c22f36df6e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Humans
178 rdf:type schema:DefinedTerm
179 N9c855b1b70ae4cdf92826ec73e1deeb3 schema:name Springer Nature - SN SciGraph project
180 rdf:type schema:Organization
181 Na0ace142d7424cbc8d02d6694d6d1a6f rdf:first sg:person.07412734763.09
182 rdf:rest Ne1893283f80a4d98a5efe3eb3fb27b3b
183 Nafe62a3a3a2a40d0aaa59601b97bf9bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
184 schema:name Female
185 rdf:type schema:DefinedTerm
186 Nb31963fdefa04922b8e2e6362d3e4eb2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
187 schema:name Logistic Models
188 rdf:type schema:DefinedTerm
189 Nbdee738f70b345c8a030c450fbb349b8 schema:name dimensions_id
190 schema:value pub.1104014833
191 rdf:type schema:PropertyValue
192 Nbef5ed3813464337bfb8aa03b86f403e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
193 schema:name Liver Function Tests
194 rdf:type schema:DefinedTerm
195 Ncb319be6406a4bf4b1dc071c503212cc rdf:first sg:person.0610263641.84
196 rdf:rest N4d6177370d474099b6b8927a895631ac
197 Ne11161a308884ff289da5e3cce1fae40 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Cross-Sectional Studies
199 rdf:type schema:DefinedTerm
200 Ne1893283f80a4d98a5efe3eb3fb27b3b rdf:first sg:person.01136251456.07
201 rdf:rest Nf425a2f915d4487ea8671f4db596ff8b
202 Ne24920c95387448d971c7c23212f1d3b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
203 schema:name Adult
204 rdf:type schema:DefinedTerm
205 Ne71f44a391cc4fe49d9cb11e181ce96a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
206 schema:name Male
207 rdf:type schema:DefinedTerm
208 Nf425a2f915d4487ea8671f4db596ff8b rdf:first sg:person.01262476653.20
209 rdf:rest rdf:nil
210 Nf4a7b7fee48243bd9071b52c2aee2398 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
211 schema:name Liver Neoplasms
212 rdf:type schema:DefinedTerm
213 Nfa9b18212aa24824ad86b4ab50e2b80d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
214 schema:name Aged
215 rdf:type schema:DefinedTerm
216 Nfeff0fd0658849a99ea9195169609f67 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
217 schema:name Predictive Value of Tests
218 rdf:type schema:DefinedTerm
219 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
220 schema:name Medical and Health Sciences
221 rdf:type schema:DefinedTerm
222 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
223 schema:name Clinical Sciences
224 rdf:type schema:DefinedTerm
225 sg:journal.1289120 schema:issn 0938-7994
226 1432-1084
227 schema:name European Radiology
228 schema:publisher Springer Nature
229 rdf:type schema:Periodical
230 sg:person.01136251456.07 schema:affiliation grid-institutes:grid.411904.9
231 schema:familyName Loewe
232 schema:givenName Christian
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136251456.07
234 rdf:type schema:Person
235 sg:person.01155322160.90 schema:affiliation grid-institutes:grid.411904.9
236 schema:familyName Schwarz
237 schema:givenName Christoph
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155322160.90
239 rdf:type schema:Person
240 sg:person.01163404744.70 schema:affiliation grid-institutes:grid.411904.9
241 schema:familyName Kaczirek
242 schema:givenName Klaus
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163404744.70
244 rdf:type schema:Person
245 sg:person.01220270742.44 schema:affiliation grid-institutes:grid.411904.9
246 schema:familyName Asenbaum
247 schema:givenName Ulrika
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01220270742.44
249 rdf:type schema:Person
250 sg:person.01262476653.20 schema:affiliation grid-institutes:grid.411904.9
251 schema:familyName Nolz
252 schema:givenName Richard
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262476653.20
254 rdf:type schema:Person
255 sg:person.01325507765.65 schema:affiliation grid-institutes:grid.411904.9
256 schema:familyName Ringl
257 schema:givenName Helmut
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325507765.65
259 rdf:type schema:Person
260 sg:person.01325555510.11 schema:affiliation grid-institutes:grid.411904.9
261 schema:familyName Waneck
262 schema:givenName Fredrik
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325555510.11
264 rdf:type schema:Person
265 sg:person.0610263641.84 schema:affiliation grid-institutes:grid.411904.9
266 schema:familyName Ba-Ssalamah
267 schema:givenName Ahmed
268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610263641.84
269 rdf:type schema:Person
270 sg:person.07412734763.09 schema:affiliation grid-institutes:grid.411904.9
271 schema:familyName Fitschek
272 schema:givenName Fabian
273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07412734763.09
274 rdf:type schema:Person
275 sg:pub.10.1007/s00268-008-9878-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030496602
276 https://doi.org/10.1007/s00268-008-9878-0
277 rdf:type schema:CreativeWork
278 sg:pub.10.1007/s00268-014-2929-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042467728
279 https://doi.org/10.1007/s00268-014-2929-9
280 rdf:type schema:CreativeWork
281 sg:pub.10.1007/s00330-014-3291-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031725856
282 https://doi.org/10.1007/s00330-014-3291-x
283 rdf:type schema:CreativeWork
284 sg:pub.10.1007/s00330-015-3919-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051626684
285 https://doi.org/10.1007/s00330-015-3919-5
286 rdf:type schema:CreativeWork
287 sg:pub.10.1007/s00330-015-3994-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053371518
288 https://doi.org/10.1007/s00330-015-3994-7
289 rdf:type schema:CreativeWork
290 sg:pub.10.1007/s11605-007-0323-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015990188
291 https://doi.org/10.1007/s11605-007-0323-8
292 rdf:type schema:CreativeWork
293 grid-institutes:grid.411904.9 schema:alternateName Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria
294 Department of Surgery, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria
295 schema:name Department of Bio-medical Imaging and Image-guided Therapy, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria
296 Department of Surgery, Medical University of Vienna - Vienna General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria
297 rdf:type schema:Organization
 




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


...