Portal Vein Segmentation of a 3D-Planning System for Liver Surgery—In vivo Evaluation in a Porcine Model View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-07

AUTHORS

Kai S. Lehmann, Joerg-P. Ritz, Steffi Valdeig, Andrea Schenk, Christoph Holmer, Heinz-O. Peitgen, Heinz-J. Buhr, Bernd B. Frericks

ABSTRACT

BACKGROUND: Computer systems allow the planning of complex liver operations. The segmentation of intrahepatic vessels builds the basis for the calculation of liver segments and resection proposals. For surgical use, it is essential to know the capabilities and limitations of the segmentation. The aim of this study was to determine the sensitivity and precision of the portal vein segmentation of a computer planning system for liver surgery in vivo. METHODS: Segmentations were performed with the software system HepaVision on computed tomography (CT) scan data of domestic pigs. An in situ corrosion cast of the portal vein served as the gold standard. The segmentation results of the portal vein and the corrosion cast were compared with regard to sensitivity, precision, and amount of short-circuit segmentations. RESULTS: The methodology demonstrated high resolution ex situ. The in vivo sensitivity of the portal vein segmentation was 100% for vessels of more than 5 mm in diameter and 82% for vessels of 3-4 mm. All segment branches were detected as well as 84% of the first subsegment branches with a diameter of more than 3 mm. The precision of the system was 100% for segment branches and 89% for the first subsegment vessels. The amount of internal short-circuit segmentations was less than 3.0%. No external short-circuits were found. CONCLUSION: The system has a high precision and sensitivity under clinical conditions. The segmentation is suitable for portal vein branches of the first and second order and for vessels of >/=3 mm in diameter. More... »

PAGES

1899

References to SciGraph publications

  • 2007-04. Anatomic Resection Independently Improves Long-Term Survival in Patients with T1–T2 Hepatocellular Carcinoma in ANNALS OF SURGICAL ONCOLOGY
  • 2000. Interaction Techniques and Vessel Analysis for Preoperative Planning in Liver Surgery in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2000
  • 2000-03. Individuelle Planung leberchirurgischer Eingriffe an einem virtuellen Modell der Leber und ihrer Leitstrukturen in DER RADIOLOGE
  • 1999-03. Dreidimensionale (3-D) Visualisierung der Leber zur Planung erweiterter Leberresektionen in DER CHIRURG
  • 2006. Towards Optimization of Probe Placement for Radio-Frequency Ablation in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2006
  • 2004-08. Extended left hepatectomy—modified operation planning based on three-dimensional visualization of liver anatomy in LANGENBECK'S ARCHIVES OF SURGERY
  • 2006-02. Role of new three-dimensional image analysis techniques in planning of live donor liver transplantation, liver resection, and intervention in JOURNAL OF GASTROINTESTINAL SURGERY
  • 2006-12. Preoperative volume calculation of the hepatic venous draining areas with multi-detector row CT in adult living donor liver transplantation: impact on surgical procedure in EUROPEAN RADIOLOGY
  • 2001-11. Laser-induced thermotherapy: intra- and extralesionary recurrence after incomplete destruction of experimental liver metastasis in SURGICAL ENDOSCOPY
  • 2006. Numerical Simulation of Radio Frequency Ablation with State Dependent Material Parameters in Three Space Dimensions in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2006
  • 2004-02. 3D CT modeling of hepatic vessel architecture and volume calculation in living donated liver transplantation in EUROPEAN RADIOLOGY
  • 2006-03. Preoperative Evaluation of Hepatic Vasculature by Three-Dimensional Computed Tomographyin Patients Undergoing Hepatectomy in WORLD JOURNAL OF SURGERY
  • 2007-01. Computer-Assisted Operative Planning in Adult Living Donor Liver Transplantation: A New Way to Resolve the Dilemma of the Middle Hepatic Vein in WORLD JOURNAL OF SURGERY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1245/s10434-008-9934-x

    DOI

    http://dx.doi.org/10.1245/s10434-008-9934-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1040920775

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/18449610


    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": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Image Processing, Computer-Assisted", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Imaging, Three-Dimensional", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Liver", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Models, Animal", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Portal Vein", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sensitivity and Specificity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Swine", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tomography, X-Ray Computed", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Humboldt University of Berlin", 
              "id": "https://www.grid.ac/institutes/grid.7468.d", 
              "name": [
                "Department of General, Vascular and Thoracic Surgery\u2013Chirurgische Klinik I, Charit\u00e9\u2013Campus Benjamin Franklin, Freie- und Humboldt-Universit\u00e4t zu Berlin, Hindenburgdamm 30, 12200, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lehmann", 
            "givenName": "Kai S.", 
            "id": "sg:person.0770344335.33", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770344335.33"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Humboldt University of Berlin", 
              "id": "https://www.grid.ac/institutes/grid.7468.d", 
              "name": [
                "Department of General, Vascular and Thoracic Surgery\u2013Chirurgische Klinik I, Charit\u00e9\u2013Campus Benjamin Franklin, Freie- und Humboldt-Universit\u00e4t zu Berlin, Hindenburgdamm 30, 12200, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ritz", 
            "givenName": "Joerg-P.", 
            "id": "sg:person.0763646636.87", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763646636.87"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Humboldt University of Berlin", 
              "id": "https://www.grid.ac/institutes/grid.7468.d", 
              "name": [
                "Department of General, Vascular and Thoracic Surgery\u2013Chirurgische Klinik I, Charit\u00e9\u2013Campus Benjamin Franklin, Freie- und Humboldt-Universit\u00e4t zu Berlin, Hindenburgdamm 30, 12200, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Valdeig", 
            "givenName": "Steffi", 
            "id": "sg:person.01117306027.38", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117306027.38"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "MeVis Research, Center for Medical Image Computing, Bremen, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schenk", 
            "givenName": "Andrea", 
            "id": "sg:person.01310520302.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310520302.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Humboldt University of Berlin", 
              "id": "https://www.grid.ac/institutes/grid.7468.d", 
              "name": [
                "Department of General, Vascular and Thoracic Surgery\u2013Chirurgische Klinik I, Charit\u00e9\u2013Campus Benjamin Franklin, Freie- und Humboldt-Universit\u00e4t zu Berlin, Hindenburgdamm 30, 12200, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Holmer", 
            "givenName": "Christoph", 
            "id": "sg:person.01027236344.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027236344.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "MeVis Research, Center for Medical Image Computing, Bremen, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Peitgen", 
            "givenName": "Heinz-O.", 
            "id": "sg:person.012600056445.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012600056445.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Humboldt University of Berlin", 
              "id": "https://www.grid.ac/institutes/grid.7468.d", 
              "name": [
                "Department of General, Vascular and Thoracic Surgery\u2013Chirurgische Klinik I, Charit\u00e9\u2013Campus Benjamin Franklin, Freie- und Humboldt-Universit\u00e4t zu Berlin, Hindenburgdamm 30, 12200, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Buhr", 
            "givenName": "Heinz-J.", 
            "id": "sg:person.01232201265.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232201265.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Radiology and Nuclear Medicine, Charit\u00e9\u2013Campus Benjamin Franklin, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Frericks", 
            "givenName": "Bernd B.", 
            "id": "sg:person.01111544743.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01111544743.15"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1111/j.1600-6143.2007.01849.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001982213"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-006-0274-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002801870", 
              "https://doi.org/10.1007/s00330-006-0274-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-006-0274-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002801870", 
              "https://doi.org/10.1007/s00330-006-0274-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/s10434-006-9318-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004300448", 
              "https://doi.org/10.1245/s10434-006-9318-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00423-003-0441-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004409692", 
              "https://doi.org/10.1007/s00423-003-0441-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00268-005-0383-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009496913", 
              "https://doi.org/10.1007/s00268-005-0383-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00268-005-0383-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009496913", 
              "https://doi.org/10.1007/s00268-005-0383-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001040050636", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009632914", 
              "https://doi.org/10.1007/s001040050636"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/j.gassur.2005.09.022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012284172", 
              "https://doi.org/10.1016/j.gassur.2005.09.022"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11866565_60", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013027862", 
              "https://doi.org/10.1007/11866565_60"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11866565_60", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013027862", 
              "https://doi.org/10.1007/11866565_60"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rvi.0000092666.72261.6b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013254435"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rvi.0000092666.72261.6b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013254435"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/lt.20387", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019874328"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bjs.4053", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020343026"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/lt.20754", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021485014"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/lt.20754", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021485014"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-003-2161-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021999374", 
              "https://doi.org/10.1007/s00330-003-2161-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-40899-4_62", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022568633", 
              "https://doi.org/10.1007/978-3-540-40899-4_62"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-40899-4_62", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022568633", 
              "https://doi.org/10.1007/978-3-540-40899-4_62"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.tp.0000196350.83825.30", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023747721"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.tp.0000196350.83825.30", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023747721"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.tp.0000196350.83825.30", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023747721"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.tp.0000196350.83825.30", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023747721"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00464-001-0006-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024526153", 
              "https://doi.org/10.1007/s00464-001-0006-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00004728-200211000-00019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024571011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00004728-200211000-00019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024571011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000171307.37401.db", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024771849"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000171307.37401.db", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024771849"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000171307.37401.db", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024771849"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1001/archsurg.140.7.629", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025364898"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejrad.2004.02.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026632582"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.transproceed.2006.02.133", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027973894"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiol.2373041104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029442391"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1515/bmt.2006.067", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033855615"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1001/archsurg.135.11.1256", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038099279"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00268-005-0718-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041119532", 
              "https://doi.org/10.1007/s00268-005-0718-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00268-005-0718-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041119532", 
              "https://doi.org/10.1007/s00268-005-0718-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11866763_47", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041618745", 
              "https://doi.org/10.1007/11866763_47"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/11866763_47", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041618745", 
              "https://doi.org/10.1007/11866763_47"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1617-0830.2003.70105.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043660794"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001170050668", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047753652", 
              "https://doi.org/10.1007/s001170050668"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1096-9101(1998)23:1<40::aid-lsm6>3.0.co;2-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048457455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1117/12.431015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049377144"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1600-6143.2005.01220.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052424786"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1159/000078255", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053317315"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tmi.2002.801166", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061694274"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2214/ajr.162.6.8191995", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069318597"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077015793", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082360458", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiology.206.1.9423665", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083194659"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2008-07", 
        "datePublishedReg": "2008-07-01", 
        "description": "BACKGROUND: Computer systems allow the planning of complex liver operations. The segmentation of intrahepatic vessels builds the basis for the calculation of liver segments and resection proposals. For surgical use, it is essential to know the capabilities and limitations of the segmentation. The aim of this study was to determine the sensitivity and precision of the portal vein segmentation of a computer planning system for liver surgery in vivo.\nMETHODS: Segmentations were performed with the software system HepaVision on computed tomography (CT) scan data of domestic pigs. An in situ corrosion cast of the portal vein served as the gold standard. The segmentation results of the portal vein and the corrosion cast were compared with regard to sensitivity, precision, and amount of short-circuit segmentations.\nRESULTS: The methodology demonstrated high resolution ex situ. The in vivo sensitivity of the portal vein segmentation was 100% for vessels of more than 5 mm in diameter and 82% for vessels of 3-4 mm. All segment branches were detected as well as 84% of the first subsegment branches with a diameter of more than 3 mm. The precision of the system was 100% for segment branches and 89% for the first subsegment vessels. The amount of internal short-circuit segmentations was less than 3.0%. No external short-circuits were found.\nCONCLUSION: The system has a high precision and sensitivity under clinical conditions. The segmentation is suitable for portal vein branches of the first and second order and for vessels of >/=3 mm in diameter.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1245/s10434-008-9934-x", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1105545", 
            "issn": [
              "1068-9265", 
              "1534-4681"
            ], 
            "name": "Annals of Surgical Oncology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "7", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "15"
          }
        ], 
        "name": "Portal Vein Segmentation of a 3D-Planning System for Liver Surgery\u2014In vivo Evaluation in a Porcine Model", 
        "pagination": "1899", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "c2eedbdc12bc134341d1dc0b4efcadca55998807b23cd61f486faef5d8553b51"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "18449610"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9420840"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1245/s10434-008-9934-x"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1040920775"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1245/s10434-008-9934-x", 
          "https://app.dimensions.ai/details/publication/pub.1040920775"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T14:06", 
        "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/v90/0000000001_0000000264/records_8660_00000500.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1245/s10434-008-9934-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.10.1245/s10434-008-9934-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.10.1245/s10434-008-9934-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1245/s10434-008-9934-x'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1245/s10434-008-9934-x'


     

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

    282 TRIPLES      21 PREDICATES      75 URIs      30 LITERALS      18 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1245/s10434-008-9934-x schema:about N06d03c5f085f4b1b9b19794f0d941176
    2 N0ba9e8103576476dbedd442fd03aaa65
    3 N1b03070f5308447aa1d00498e02bc713
    4 N61d929dafc8a4a28ace82f45cc1ffc97
    5 N6c3b1a538b0d44648f5a9e8eed589a78
    6 N76cc7a96d4424807b596ddc088069833
    7 N8538400abadf41f89f6a1601f85574f6
    8 Na4e104e7d92849f8b99e1c508cadce7b
    9 Nd0da89e8a0aa4ec8a85d4fe0b36f5fea
    10 anzsrc-for:11
    11 anzsrc-for:1103
    12 schema:author Ne86096deff5d46bdbc03a930e58919c2
    13 schema:citation sg:pub.10.1007/11866565_60
    14 sg:pub.10.1007/11866763_47
    15 sg:pub.10.1007/978-3-540-40899-4_62
    16 sg:pub.10.1007/s001040050636
    17 sg:pub.10.1007/s001170050668
    18 sg:pub.10.1007/s00268-005-0383-4
    19 sg:pub.10.1007/s00268-005-0718-1
    20 sg:pub.10.1007/s00330-003-2161-8
    21 sg:pub.10.1007/s00330-006-0274-6
    22 sg:pub.10.1007/s00423-003-0441-z
    23 sg:pub.10.1007/s00464-001-0006-6
    24 sg:pub.10.1016/j.gassur.2005.09.022
    25 sg:pub.10.1245/s10434-006-9318-z
    26 https://app.dimensions.ai/details/publication/pub.1077015793
    27 https://app.dimensions.ai/details/publication/pub.1082360458
    28 https://doi.org/10.1001/archsurg.135.11.1256
    29 https://doi.org/10.1001/archsurg.140.7.629
    30 https://doi.org/10.1002/(sici)1096-9101(1998)23:1<40::aid-lsm6>3.0.co;2-w
    31 https://doi.org/10.1002/bjs.4053
    32 https://doi.org/10.1002/lt.20387
    33 https://doi.org/10.1002/lt.20754
    34 https://doi.org/10.1016/j.ejrad.2004.02.003
    35 https://doi.org/10.1016/j.transproceed.2006.02.133
    36 https://doi.org/10.1046/j.1617-0830.2003.70105.x
    37 https://doi.org/10.1097/00004728-200211000-00019
    38 https://doi.org/10.1097/01.rvi.0000092666.72261.6b
    39 https://doi.org/10.1097/01.sla.0000171307.37401.db
    40 https://doi.org/10.1097/01.tp.0000196350.83825.30
    41 https://doi.org/10.1109/tmi.2002.801166
    42 https://doi.org/10.1111/j.1600-6143.2005.01220.x
    43 https://doi.org/10.1111/j.1600-6143.2007.01849.x
    44 https://doi.org/10.1117/12.431015
    45 https://doi.org/10.1148/radiol.2373041104
    46 https://doi.org/10.1148/radiology.206.1.9423665
    47 https://doi.org/10.1159/000078255
    48 https://doi.org/10.1515/bmt.2006.067
    49 https://doi.org/10.2214/ajr.162.6.8191995
    50 schema:datePublished 2008-07
    51 schema:datePublishedReg 2008-07-01
    52 schema:description BACKGROUND: Computer systems allow the planning of complex liver operations. The segmentation of intrahepatic vessels builds the basis for the calculation of liver segments and resection proposals. For surgical use, it is essential to know the capabilities and limitations of the segmentation. The aim of this study was to determine the sensitivity and precision of the portal vein segmentation of a computer planning system for liver surgery in vivo. METHODS: Segmentations were performed with the software system HepaVision on computed tomography (CT) scan data of domestic pigs. An in situ corrosion cast of the portal vein served as the gold standard. The segmentation results of the portal vein and the corrosion cast were compared with regard to sensitivity, precision, and amount of short-circuit segmentations. RESULTS: The methodology demonstrated high resolution ex situ. The in vivo sensitivity of the portal vein segmentation was 100% for vessels of more than 5 mm in diameter and 82% for vessels of 3-4 mm. All segment branches were detected as well as 84% of the first subsegment branches with a diameter of more than 3 mm. The precision of the system was 100% for segment branches and 89% for the first subsegment vessels. The amount of internal short-circuit segmentations was less than 3.0%. No external short-circuits were found. CONCLUSION: The system has a high precision and sensitivity under clinical conditions. The segmentation is suitable for portal vein branches of the first and second order and for vessels of >/=3 mm in diameter.
    53 schema:genre research_article
    54 schema:inLanguage en
    55 schema:isAccessibleForFree false
    56 schema:isPartOf N22f269813e1f463496c1ae76161dcb3c
    57 Na8cd4a027e16448b889b77a0661ce810
    58 sg:journal.1105545
    59 schema:name Portal Vein Segmentation of a 3D-Planning System for Liver Surgery—In vivo Evaluation in a Porcine Model
    60 schema:pagination 1899
    61 schema:productId N282e56ff85584fbb9e5f79fc54417fe5
    62 N2ca1ed71076241e5a436e26981f7360a
    63 N57522f2912ca431e92588f6141a54984
    64 N91a1ff1ff8d7476caa89818a4786db43
    65 Nc034d3028539495bba2755d7329420f4
    66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040920775
    67 https://doi.org/10.1245/s10434-008-9934-x
    68 schema:sdDatePublished 2019-04-10T14:06
    69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    70 schema:sdPublisher Nfd1f1b186f35434b9a9dc8f13dbce277
    71 schema:url http://link.springer.com/10.1245/s10434-008-9934-x
    72 sgo:license sg:explorer/license/
    73 sgo:sdDataset articles
    74 rdf:type schema:ScholarlyArticle
    75 N05d61c3ac5d942dcbe5f2a4625874209 schema:name MeVis Research, Center for Medical Image Computing, Bremen, Germany
    76 rdf:type schema:Organization
    77 N06d03c5f085f4b1b9b19794f0d941176 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    78 schema:name Models, Animal
    79 rdf:type schema:DefinedTerm
    80 N07429fc2a038413691f1e159c88927cc rdf:first sg:person.0763646636.87
    81 rdf:rest Nc06785cac78a435b80c4c61b1a863887
    82 N0ba9e8103576476dbedd442fd03aaa65 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    83 schema:name Liver
    84 rdf:type schema:DefinedTerm
    85 N1b03070f5308447aa1d00498e02bc713 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    86 schema:name Imaging, Three-Dimensional
    87 rdf:type schema:DefinedTerm
    88 N1c77824cf2c543068e78919e0e5c2160 schema:name MeVis Research, Center for Medical Image Computing, Bremen, Germany
    89 rdf:type schema:Organization
    90 N22f269813e1f463496c1ae76161dcb3c schema:issueNumber 7
    91 rdf:type schema:PublicationIssue
    92 N282e56ff85584fbb9e5f79fc54417fe5 schema:name dimensions_id
    93 schema:value pub.1040920775
    94 rdf:type schema:PropertyValue
    95 N2ca1ed71076241e5a436e26981f7360a schema:name pubmed_id
    96 schema:value 18449610
    97 rdf:type schema:PropertyValue
    98 N3bc501c42c304539ab79a2228a3695ed rdf:first sg:person.01111544743.15
    99 rdf:rest rdf:nil
    100 N53d449d2698541759965466e51f2bfbc rdf:first sg:person.01027236344.50
    101 rdf:rest N66bf3200ca7d4923810222b9cf08224d
    102 N57522f2912ca431e92588f6141a54984 schema:name doi
    103 schema:value 10.1245/s10434-008-9934-x
    104 rdf:type schema:PropertyValue
    105 N61d929dafc8a4a28ace82f45cc1ffc97 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    106 schema:name Portal Vein
    107 rdf:type schema:DefinedTerm
    108 N66bf3200ca7d4923810222b9cf08224d rdf:first sg:person.012600056445.50
    109 rdf:rest N94a087ab98aa4c91b8e7ad323b0b91be
    110 N6c3b1a538b0d44648f5a9e8eed589a78 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    111 schema:name Tomography, X-Ray Computed
    112 rdf:type schema:DefinedTerm
    113 N76cc7a96d4424807b596ddc088069833 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Image Processing, Computer-Assisted
    115 rdf:type schema:DefinedTerm
    116 N8538400abadf41f89f6a1601f85574f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    117 schema:name Animals
    118 rdf:type schema:DefinedTerm
    119 N91a1ff1ff8d7476caa89818a4786db43 schema:name nlm_unique_id
    120 schema:value 9420840
    121 rdf:type schema:PropertyValue
    122 N94a087ab98aa4c91b8e7ad323b0b91be rdf:first sg:person.01232201265.13
    123 rdf:rest N3bc501c42c304539ab79a2228a3695ed
    124 N9aa75d1b5b064ddf8c52c408310d2b03 schema:name Department of Radiology and Nuclear Medicine, Charité–Campus Benjamin Franklin, Berlin, Germany
    125 rdf:type schema:Organization
    126 Na4e104e7d92849f8b99e1c508cadce7b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    127 schema:name Swine
    128 rdf:type schema:DefinedTerm
    129 Na8cd4a027e16448b889b77a0661ce810 schema:volumeNumber 15
    130 rdf:type schema:PublicationVolume
    131 Naa91d94e3f954d35b04a0a645c872408 rdf:first sg:person.01310520302.22
    132 rdf:rest N53d449d2698541759965466e51f2bfbc
    133 Nc034d3028539495bba2755d7329420f4 schema:name readcube_id
    134 schema:value c2eedbdc12bc134341d1dc0b4efcadca55998807b23cd61f486faef5d8553b51
    135 rdf:type schema:PropertyValue
    136 Nc06785cac78a435b80c4c61b1a863887 rdf:first sg:person.01117306027.38
    137 rdf:rest Naa91d94e3f954d35b04a0a645c872408
    138 Nd0da89e8a0aa4ec8a85d4fe0b36f5fea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Sensitivity and Specificity
    140 rdf:type schema:DefinedTerm
    141 Ne86096deff5d46bdbc03a930e58919c2 rdf:first sg:person.0770344335.33
    142 rdf:rest N07429fc2a038413691f1e159c88927cc
    143 Nfd1f1b186f35434b9a9dc8f13dbce277 schema:name Springer Nature - SN SciGraph project
    144 rdf:type schema:Organization
    145 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    146 schema:name Medical and Health Sciences
    147 rdf:type schema:DefinedTerm
    148 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    149 schema:name Clinical Sciences
    150 rdf:type schema:DefinedTerm
    151 sg:journal.1105545 schema:issn 1068-9265
    152 1534-4681
    153 schema:name Annals of Surgical Oncology
    154 rdf:type schema:Periodical
    155 sg:person.01027236344.50 schema:affiliation https://www.grid.ac/institutes/grid.7468.d
    156 schema:familyName Holmer
    157 schema:givenName Christoph
    158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01027236344.50
    159 rdf:type schema:Person
    160 sg:person.01111544743.15 schema:affiliation N9aa75d1b5b064ddf8c52c408310d2b03
    161 schema:familyName Frericks
    162 schema:givenName Bernd B.
    163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01111544743.15
    164 rdf:type schema:Person
    165 sg:person.01117306027.38 schema:affiliation https://www.grid.ac/institutes/grid.7468.d
    166 schema:familyName Valdeig
    167 schema:givenName Steffi
    168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117306027.38
    169 rdf:type schema:Person
    170 sg:person.01232201265.13 schema:affiliation https://www.grid.ac/institutes/grid.7468.d
    171 schema:familyName Buhr
    172 schema:givenName Heinz-J.
    173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01232201265.13
    174 rdf:type schema:Person
    175 sg:person.012600056445.50 schema:affiliation N05d61c3ac5d942dcbe5f2a4625874209
    176 schema:familyName Peitgen
    177 schema:givenName Heinz-O.
    178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012600056445.50
    179 rdf:type schema:Person
    180 sg:person.01310520302.22 schema:affiliation N1c77824cf2c543068e78919e0e5c2160
    181 schema:familyName Schenk
    182 schema:givenName Andrea
    183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310520302.22
    184 rdf:type schema:Person
    185 sg:person.0763646636.87 schema:affiliation https://www.grid.ac/institutes/grid.7468.d
    186 schema:familyName Ritz
    187 schema:givenName Joerg-P.
    188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763646636.87
    189 rdf:type schema:Person
    190 sg:person.0770344335.33 schema:affiliation https://www.grid.ac/institutes/grid.7468.d
    191 schema:familyName Lehmann
    192 schema:givenName Kai S.
    193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770344335.33
    194 rdf:type schema:Person
    195 sg:pub.10.1007/11866565_60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013027862
    196 https://doi.org/10.1007/11866565_60
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/11866763_47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041618745
    199 https://doi.org/10.1007/11866763_47
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1007/978-3-540-40899-4_62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022568633
    202 https://doi.org/10.1007/978-3-540-40899-4_62
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1007/s001040050636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009632914
    205 https://doi.org/10.1007/s001040050636
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1007/s001170050668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047753652
    208 https://doi.org/10.1007/s001170050668
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1007/s00268-005-0383-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009496913
    211 https://doi.org/10.1007/s00268-005-0383-4
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1007/s00268-005-0718-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041119532
    214 https://doi.org/10.1007/s00268-005-0718-1
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1007/s00330-003-2161-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021999374
    217 https://doi.org/10.1007/s00330-003-2161-8
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1007/s00330-006-0274-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002801870
    220 https://doi.org/10.1007/s00330-006-0274-6
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1007/s00423-003-0441-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1004409692
    223 https://doi.org/10.1007/s00423-003-0441-z
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1007/s00464-001-0006-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024526153
    226 https://doi.org/10.1007/s00464-001-0006-6
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1016/j.gassur.2005.09.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012284172
    229 https://doi.org/10.1016/j.gassur.2005.09.022
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1245/s10434-006-9318-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1004300448
    232 https://doi.org/10.1245/s10434-006-9318-z
    233 rdf:type schema:CreativeWork
    234 https://app.dimensions.ai/details/publication/pub.1077015793 schema:CreativeWork
    235 https://app.dimensions.ai/details/publication/pub.1082360458 schema:CreativeWork
    236 https://doi.org/10.1001/archsurg.135.11.1256 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038099279
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1001/archsurg.140.7.629 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025364898
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1002/(sici)1096-9101(1998)23:1<40::aid-lsm6>3.0.co;2-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1048457455
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1002/bjs.4053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020343026
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1002/lt.20387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019874328
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1002/lt.20754 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021485014
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1016/j.ejrad.2004.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026632582
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1016/j.transproceed.2006.02.133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027973894
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1046/j.1617-0830.2003.70105.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043660794
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1097/00004728-200211000-00019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024571011
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1097/01.rvi.0000092666.72261.6b schema:sameAs https://app.dimensions.ai/details/publication/pub.1013254435
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1097/01.sla.0000171307.37401.db schema:sameAs https://app.dimensions.ai/details/publication/pub.1024771849
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1097/01.tp.0000196350.83825.30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023747721
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1109/tmi.2002.801166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061694274
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1111/j.1600-6143.2005.01220.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052424786
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1111/j.1600-6143.2007.01849.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001982213
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1117/12.431015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049377144
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1148/radiol.2373041104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029442391
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1148/radiology.206.1.9423665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083194659
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1159/000078255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053317315
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1515/bmt.2006.067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033855615
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.2214/ajr.162.6.8191995 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069318597
    279 rdf:type schema:CreativeWork
    280 https://www.grid.ac/institutes/grid.7468.d schema:alternateName Humboldt University of Berlin
    281 schema:name Department of General, Vascular and Thoracic Surgery–Chirurgische Klinik I, Charité–Campus Benjamin Franklin, Freie- und Humboldt-Universität zu Berlin, Hindenburgdamm 30, 12200, Berlin, Germany
    282 rdf:type schema:Organization
     




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


    ...