Albumin–Bilirubin and Platelet–Albumin–Bilirubin Grades Do Not Predict Survival After Transjugular Intrahepatic Portosystemic Shunt Creation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-07

AUTHORS

Ramzy C. Khabbaz, R. Peter Lokken, Yi-Fan Chen, Andrew J. Lipnik, James T. Bui, Charles E. Ray, Ron C. Gaba

ABSTRACT

PURPOSE: To evaluate the capability of albumin-bilirubin (ALBI) and platelet-albumin-bilirubin (PALBI) grades in predicting transplant-free survival (TFS) in patients undergoing transjugular intrahepatic portosystemic shunt (TIPS) creation. MATERIALS AND METHODS: This single-center retrospective study included 342 ALBI and 337 PALBI patients (62% men; age 53-54 years) with cirrhosis (median MELD 15) and portal hypertension complications (variceal bleeding, 55%; ascites, 35%; other, 10%) who underwent TIPS between 1998 and 2017. Serum albumin, bilirubin, and platelet levels within 24 h prior to TIPS were used to calculate ALBI and PALBI grades. The influence of ALBI and PALBI grade on 30-day, 90-day, and overall post-TIPS TFS was assessed using C-indices, binary logistic regression, and the Cox proportional model, adjusting for Child-Pugh (CP) and MELD scores. RESULTS: The cohort spanned 110 (32%) and 232 (68%) ALBI grades 2 and 3 patients, and 40 (12%) and 297 (88%) PALBI grades 2 and 3 patients. While there were no differences in 30-day survival between ALBI and PALBI grades 2/3 (P > 0.05), 90-day and overall TFS showed statistically significant differences in survival between ALBI and PALBI grades 2/3 (P < 0.05). Nonetheless, using univariate logistic regression, ALBI-PALBI C-indices (0.55-0.58) were inferior to the MELD score (0.81-0.84). Moreover, ALBI-PALBI did not associate with TFS on multivariable models adjusting for CP and MELD. Only MELD independently associated with TFS (P < 0.001). CONCLUSIONS: ALBI and PALBI grades do not stratify survival outcomes beyond MELD score following TIPS. MELD score remains the most robust metric for predicting post-TIPS survival outcomes. More... »

PAGES

1029-1034

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00270-018-1923-2

DOI

http://dx.doi.org/10.1007/s00270-018-1923-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101368883

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29516241


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Illinois at Chicago", 
          "id": "https://www.grid.ac/institutes/grid.185648.6", 
          "name": [
            "University of Illinois College of Medicine, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khabbaz", 
        "givenName": "Ramzy C.", 
        "id": "sg:person.011677133240.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011677133240.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Illinois Hospital & Health Sciences System", 
          "id": "https://www.grid.ac/institutes/grid.412973.a", 
          "name": [
            "Division of Interventional Radiology, Department of Radiology, University of Illinois Hospital & Health Sciences System, 1740 West Taylor Street, MC 931, 60612, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lokken", 
        "givenName": "R. Peter", 
        "id": "sg:person.0761252304.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761252304.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Illinois at Urbana Champaign", 
          "id": "https://www.grid.ac/institutes/grid.35403.31", 
          "name": [
            "Center for Clinical and Translational Science, University of Illinois Health, 1740 West Taylor Street MC 931, 60612, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Yi-Fan", 
        "id": "sg:person.013272074240.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013272074240.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Illinois Hospital & Health Sciences System", 
          "id": "https://www.grid.ac/institutes/grid.412973.a", 
          "name": [
            "Division of Interventional Radiology, Department of Radiology, University of Illinois Hospital & Health Sciences System, 1740 West Taylor Street, MC 931, 60612, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lipnik", 
        "givenName": "Andrew J.", 
        "id": "sg:person.0610073123.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610073123.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Illinois Hospital & Health Sciences System", 
          "id": "https://www.grid.ac/institutes/grid.412973.a", 
          "name": [
            "Division of Interventional Radiology, Department of Radiology, University of Illinois Hospital & Health Sciences System, 1740 West Taylor Street, MC 931, 60612, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bui", 
        "givenName": "James T.", 
        "id": "sg:person.01072260406.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072260406.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Illinois Hospital & Health Sciences System", 
          "id": "https://www.grid.ac/institutes/grid.412973.a", 
          "name": [
            "Division of Interventional Radiology, Department of Radiology, University of Illinois Hospital & Health Sciences System, 1740 West Taylor Street, MC 931, 60612, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ray", 
        "givenName": "Charles E.", 
        "id": "sg:person.0757446311.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757446311.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Illinois Hospital & Health Sciences System", 
          "id": "https://www.grid.ac/institutes/grid.412973.a", 
          "name": [
            "Division of Interventional Radiology, Department of Radiology, University of Illinois Hospital & Health Sciences System, 1740 West Taylor Street, MC 931, 60612, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gaba", 
        "givenName": "Ron C.", 
        "id": "sg:person.01365024164.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365024164.59"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/jgh.13608", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001887225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2014.57.9151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002455355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.23383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003118239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvir.2016.03.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004151666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvir.2015.07.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036371315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvir.2015.09.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037779088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvir.2012.10.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040822936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvir.2012.10.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040822936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jgh.13250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047123360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5152/dir.2013.13131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072632769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvir.2017.05.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090360681"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.diii.2017.10.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092776780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.diii.2017.10.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092776780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.diii.2017.10.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092776780"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-07", 
    "datePublishedReg": "2018-07-01", 
    "description": "PURPOSE: To evaluate the capability of albumin-bilirubin (ALBI) and platelet-albumin-bilirubin (PALBI) grades in predicting transplant-free survival (TFS) in patients undergoing transjugular intrahepatic portosystemic shunt (TIPS) creation.\nMATERIALS AND METHODS: This single-center retrospective study included 342 ALBI and 337 PALBI patients (62% men; age 53-54\u00a0years) with cirrhosis (median MELD 15) and portal hypertension complications (variceal bleeding, 55%; ascites, 35%; other, 10%) who underwent TIPS between 1998 and 2017. Serum albumin, bilirubin, and platelet levels within 24\u00a0h prior to TIPS were used to calculate ALBI and PALBI grades. The influence of ALBI and PALBI grade on 30-day, 90-day, and overall post-TIPS TFS was assessed using C-indices, binary logistic regression, and the Cox proportional model, adjusting for Child-Pugh (CP) and MELD scores.\nRESULTS: The cohort spanned 110 (32%) and 232 (68%) ALBI grades 2 and 3 patients, and 40 (12%) and 297 (88%) PALBI grades 2 and 3 patients. While there were no differences in 30-day survival between ALBI and PALBI grades 2/3 (P\u2009>\u20090.05), 90-day and overall TFS showed statistically significant differences in survival between ALBI and PALBI grades 2/3 (P\u2009<\u20090.05). Nonetheless, using univariate logistic regression, ALBI-PALBI C-indices (0.55-0.58) were inferior to the MELD score (0.81-0.84). Moreover, ALBI-PALBI did not associate with TFS on multivariable models adjusting for CP and MELD. Only MELD independently associated with TFS (P\u2009<\u20090.001).\nCONCLUSIONS: ALBI and PALBI grades do not stratify survival outcomes beyond MELD score following TIPS. MELD score remains the most robust metric for predicting post-TIPS survival outcomes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00270-018-1923-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5503391", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1091062", 
        "issn": [
          "0174-1551", 
          "1432-086X"
        ], 
        "name": "CardioVascular and Interventional Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "41"
      }
    ], 
    "name": "Albumin\u2013Bilirubin and Platelet\u2013Albumin\u2013Bilirubin Grades Do Not Predict Survival After Transjugular Intrahepatic Portosystemic Shunt Creation", 
    "pagination": "1029-1034", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2f294683c83de0b3949974d77961ac4d3a510ce7815ee05daf03ab37b7b14589"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29516241"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8003538"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00270-018-1923-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1101368883"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00270-018-1923-2", 
      "https://app.dimensions.ai/details/publication/pub.1101368883"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:12", 
    "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/v90/0000000353_0000000353/records_45357_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00270-018-1923-2"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00270-018-1923-2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00270-018-1923-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00270-018-1923-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00270-018-1923-2'


 

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

152 TRIPLES      21 PREDICATES      40 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00270-018-1923-2 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author N1d69085816e5415f8c3853b142b532db
4 schema:citation https://doi.org/10.1002/hep.23383
5 https://doi.org/10.1016/j.diii.2017.10.008
6 https://doi.org/10.1016/j.jvir.2012.10.026
7 https://doi.org/10.1016/j.jvir.2015.07.001
8 https://doi.org/10.1016/j.jvir.2015.09.018
9 https://doi.org/10.1016/j.jvir.2016.03.005
10 https://doi.org/10.1016/j.jvir.2017.05.020
11 https://doi.org/10.1111/jgh.13250
12 https://doi.org/10.1111/jgh.13608
13 https://doi.org/10.1200/jco.2014.57.9151
14 https://doi.org/10.5152/dir.2013.13131
15 schema:datePublished 2018-07
16 schema:datePublishedReg 2018-07-01
17 schema:description PURPOSE: To evaluate the capability of albumin-bilirubin (ALBI) and platelet-albumin-bilirubin (PALBI) grades in predicting transplant-free survival (TFS) in patients undergoing transjugular intrahepatic portosystemic shunt (TIPS) creation. MATERIALS AND METHODS: This single-center retrospective study included 342 ALBI and 337 PALBI patients (62% men; age 53-54 years) with cirrhosis (median MELD 15) and portal hypertension complications (variceal bleeding, 55%; ascites, 35%; other, 10%) who underwent TIPS between 1998 and 2017. Serum albumin, bilirubin, and platelet levels within 24 h prior to TIPS were used to calculate ALBI and PALBI grades. The influence of ALBI and PALBI grade on 30-day, 90-day, and overall post-TIPS TFS was assessed using C-indices, binary logistic regression, and the Cox proportional model, adjusting for Child-Pugh (CP) and MELD scores. RESULTS: The cohort spanned 110 (32%) and 232 (68%) ALBI grades 2 and 3 patients, and 40 (12%) and 297 (88%) PALBI grades 2 and 3 patients. While there were no differences in 30-day survival between ALBI and PALBI grades 2/3 (P > 0.05), 90-day and overall TFS showed statistically significant differences in survival between ALBI and PALBI grades 2/3 (P < 0.05). Nonetheless, using univariate logistic regression, ALBI-PALBI C-indices (0.55-0.58) were inferior to the MELD score (0.81-0.84). Moreover, ALBI-PALBI did not associate with TFS on multivariable models adjusting for CP and MELD. Only MELD independently associated with TFS (P < 0.001). CONCLUSIONS: ALBI and PALBI grades do not stratify survival outcomes beyond MELD score following TIPS. MELD score remains the most robust metric for predicting post-TIPS survival outcomes.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf N76deb7290e3f4cb3bd1845bbb40f6cf1
22 N9765854f771e4b858614d1a0f02f5f33
23 sg:journal.1091062
24 schema:name Albumin–Bilirubin and Platelet–Albumin–Bilirubin Grades Do Not Predict Survival After Transjugular Intrahepatic Portosystemic Shunt Creation
25 schema:pagination 1029-1034
26 schema:productId N02c8f7396aae4653a0550dbc8431d852
27 N593904763d814c759a6927c30dcac716
28 N7b7d6c59a98f436c9705fa0ae60e9c71
29 N87e1e1a487374d3e9f706f60ceceb7e8
30 Nc009c5581c9d46089af53dbf34978abd
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101368883
32 https://doi.org/10.1007/s00270-018-1923-2
33 schema:sdDatePublished 2019-04-11T11:12
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N75dc579abe714c1b91cd43f53423f8d1
36 schema:url https://link.springer.com/10.1007%2Fs00270-018-1923-2
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N02c8f7396aae4653a0550dbc8431d852 schema:name dimensions_id
41 schema:value pub.1101368883
42 rdf:type schema:PropertyValue
43 N0ade3886d9f840d6bf9ea6a0c20204cc rdf:first sg:person.01072260406.86
44 rdf:rest Ne8cd74df2d944e90993fb027dc7f4aa6
45 N1d69085816e5415f8c3853b142b532db rdf:first sg:person.011677133240.86
46 rdf:rest N8d253eb92f174aed91e7f21a1b718801
47 N32fb2bb9c08d446f89d03baae6c17d13 rdf:first sg:person.0610073123.89
48 rdf:rest N0ade3886d9f840d6bf9ea6a0c20204cc
49 N593904763d814c759a6927c30dcac716 schema:name readcube_id
50 schema:value 2f294683c83de0b3949974d77961ac4d3a510ce7815ee05daf03ab37b7b14589
51 rdf:type schema:PropertyValue
52 N686fc0ac1c094f629b31ee99132ee97a rdf:first sg:person.01365024164.59
53 rdf:rest rdf:nil
54 N75dc579abe714c1b91cd43f53423f8d1 schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 N76deb7290e3f4cb3bd1845bbb40f6cf1 schema:volumeNumber 41
57 rdf:type schema:PublicationVolume
58 N7b7d6c59a98f436c9705fa0ae60e9c71 schema:name pubmed_id
59 schema:value 29516241
60 rdf:type schema:PropertyValue
61 N87e1e1a487374d3e9f706f60ceceb7e8 schema:name nlm_unique_id
62 schema:value 8003538
63 rdf:type schema:PropertyValue
64 N8d253eb92f174aed91e7f21a1b718801 rdf:first sg:person.0761252304.68
65 rdf:rest Nb2d04c905b7a44e2b01ab36ab30699c7
66 N9765854f771e4b858614d1a0f02f5f33 schema:issueNumber 7
67 rdf:type schema:PublicationIssue
68 Nb2d04c905b7a44e2b01ab36ab30699c7 rdf:first sg:person.013272074240.11
69 rdf:rest N32fb2bb9c08d446f89d03baae6c17d13
70 Nc009c5581c9d46089af53dbf34978abd schema:name doi
71 schema:value 10.1007/s00270-018-1923-2
72 rdf:type schema:PropertyValue
73 Ne8cd74df2d944e90993fb027dc7f4aa6 rdf:first sg:person.0757446311.52
74 rdf:rest N686fc0ac1c094f629b31ee99132ee97a
75 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
76 schema:name Medical and Health Sciences
77 rdf:type schema:DefinedTerm
78 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
79 schema:name Clinical Sciences
80 rdf:type schema:DefinedTerm
81 sg:grant.5503391 http://pending.schema.org/fundedItem sg:pub.10.1007/s00270-018-1923-2
82 rdf:type schema:MonetaryGrant
83 sg:journal.1091062 schema:issn 0174-1551
84 1432-086X
85 schema:name CardioVascular and Interventional Radiology
86 rdf:type schema:Periodical
87 sg:person.01072260406.86 schema:affiliation https://www.grid.ac/institutes/grid.412973.a
88 schema:familyName Bui
89 schema:givenName James T.
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072260406.86
91 rdf:type schema:Person
92 sg:person.011677133240.86 schema:affiliation https://www.grid.ac/institutes/grid.185648.6
93 schema:familyName Khabbaz
94 schema:givenName Ramzy C.
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011677133240.86
96 rdf:type schema:Person
97 sg:person.013272074240.11 schema:affiliation https://www.grid.ac/institutes/grid.35403.31
98 schema:familyName Chen
99 schema:givenName Yi-Fan
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013272074240.11
101 rdf:type schema:Person
102 sg:person.01365024164.59 schema:affiliation https://www.grid.ac/institutes/grid.412973.a
103 schema:familyName Gaba
104 schema:givenName Ron C.
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365024164.59
106 rdf:type schema:Person
107 sg:person.0610073123.89 schema:affiliation https://www.grid.ac/institutes/grid.412973.a
108 schema:familyName Lipnik
109 schema:givenName Andrew J.
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0610073123.89
111 rdf:type schema:Person
112 sg:person.0757446311.52 schema:affiliation https://www.grid.ac/institutes/grid.412973.a
113 schema:familyName Ray
114 schema:givenName Charles E.
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0757446311.52
116 rdf:type schema:Person
117 sg:person.0761252304.68 schema:affiliation https://www.grid.ac/institutes/grid.412973.a
118 schema:familyName Lokken
119 schema:givenName R. Peter
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761252304.68
121 rdf:type schema:Person
122 https://doi.org/10.1002/hep.23383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003118239
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.diii.2017.10.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092776780
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/j.jvir.2012.10.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040822936
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.jvir.2015.07.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036371315
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.jvir.2015.09.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037779088
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.jvir.2016.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004151666
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.jvir.2017.05.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090360681
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1111/jgh.13250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047123360
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1111/jgh.13608 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001887225
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1200/jco.2014.57.9151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002455355
141 rdf:type schema:CreativeWork
142 https://doi.org/10.5152/dir.2013.13131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072632769
143 rdf:type schema:CreativeWork
144 https://www.grid.ac/institutes/grid.185648.6 schema:alternateName University of Illinois at Chicago
145 schema:name University of Illinois College of Medicine, Chicago, IL, USA
146 rdf:type schema:Organization
147 https://www.grid.ac/institutes/grid.35403.31 schema:alternateName University of Illinois at Urbana Champaign
148 schema:name Center for Clinical and Translational Science, University of Illinois Health, 1740 West Taylor Street MC 931, 60612, Chicago, IL, USA
149 rdf:type schema:Organization
150 https://www.grid.ac/institutes/grid.412973.a schema:alternateName University of Illinois Hospital & Health Sciences System
151 schema:name Division of Interventional Radiology, Department of Radiology, University of Illinois Hospital & Health Sciences System, 1740 West Taylor Street, MC 931, 60612, Chicago, IL, USA
152 rdf:type schema:Organization
 




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


...