Gadoxetic acid-enhanced MRI and diffusion-weighted imaging for the detection of colorectal liver metastases after neoadjuvant chemotherapy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-08

AUTHORS

Mi Hye Yu, Jeong Min Lee, Bo Yun Hur, Tae-You Kim, Seung-Yong Jeong, Nam-Joon Yi, Kyung-Suk Suh, Joon Koo Han, Byung-Ihn Choi

ABSTRACT

OBJECTIVES: To investigate the diagnostic performance of gadoxetic acid-enhanced MRI including diffusion-weighted imaging (DWI) for the detection of colorectal liver metastases (CRLMs) after neoadjuvant chemotherapy (NAC). METHODS: Our study population comprised 77 patients with 140 CRLMs who underwent gadoxetic acid-enhanced MRI within 1 month prior to surgery: group A (without NAC, n = 38) and group B (with NAC, n = 39). Two radiologists independently assessed all MR images and graded their diagnostic confidence for CRLM on a 5-point scale. Diagnostic accuracy, sensitivity and positive predictive values (PPV) were calculated and compared between the two groups. RESULTS: Diagnostic accuracy of gadoxetic acid-enhanced MRI in group B was slightly lower than in group A, but a statistically significant difference was not observed (observer 1: A z, 0.926 in group A, 0.905 in group B; observer 2: A z, 0.944 in group A, 0.885 in group B; p > 0.05). Sensitivity and PPV of group B were comparable to those of group A (observer 1: sensitivity = 93.5 % vs. 93.6 %, PPV = 95.1 % vs. 86.9 %; observer 2: sensitivity = 96.8 % vs. 91.0 %; PPV = 90.0 % vs. 89.7 %; all p > 0.05). CONCLUSIONS: Gadoxetic acid-enhanced MRI including DWI provided good diagnostic performance with high sensitivity (>90 %) for the detection of CRLMs, regardless of the influence of NAC. KEY POINTS: • Gadoxetic acid-enhanced MRI including DWI shows high sensitivity for CRLMs. • Chemotherapy does not influence the diagnostic performance of liver MRI for CRLMs. • Gadoxetic acid-enhanced MRI can be used for evaluation of CRLMs after NAC. More... »

PAGES

2428-2436

References to SciGraph publications

  • 2007-04-12. The Role and Limitations of 18-Fluoro-2-deoxy-d-glucose Positron Emission Tomography (FDG-PET) Scan and Computerized Tomography (CT) in Restaging Patients with Hepatic Colorectal Metastases Following Neoadjuvant Chemotherapy: Comparison with Operative and Pathological Findings in JOURNAL OF GASTROINTESTINAL SURGERY
  • 2012-09. Preoperative Imaging of Colorectal Liver Metastases After Neoadjuvant Chemotherapy: A Meta-Analysis in ANNALS OF SURGICAL ONCOLOGY
  • 2011-02. Neoadjuvant chemotherapy affects staging of colorectal liver metastasis—a comparison of PET, CT and intraoperative ultrasound in INTERNATIONAL JOURNAL OF COLORECTAL DISEASE
  • 2013-03. Staging of colorectal liver metastases after preoperative chemotherapy. Diffusion-weighted imaging in combination with Gd-EOB-DTPA MRI sequences increases sensitivity and diagnostic accuracy in EUROPEAN RADIOLOGY
  • 2009-02. Clinical value of MRI liver-specific contrast agents: a tailored examination for a confident non-invasive diagnosis of focal liver lesions in EUROPEAN RADIOLOGY
  • 2006-10. Improving Resectability of Hepatic Colorectal Metastases: Expert Consensus Statement in ANNALS OF SURGICAL ONCOLOGY
  • 2012-04. Accuracy of gadoxetic acid-enhanced magnetic resonance imaging for the diagnosis of sinusoidal obstruction syndrome in patients with chemotherapy-treated colorectal liver metastases in EUROPEAN RADIOLOGY
  • 2011-04. Detection and characterisation of focal liver lesions in colorectal carcinoma patients: comparison of diffusion-weighted and Gd-EOB-DTPA enhanced MR imaging in EUROPEAN RADIOLOGY
  • 2009-05. Impact of Chemotherapy on the Accuracy of Computed Tomography Scan for the Evaluation of Colorectal Liver Metastases in ANNALS OF SURGICAL ONCOLOGY
  • 2009-07. The effects of cancer chemotherapy on liver imaging in EUROPEAN RADIOLOGY
  • 2007-08. Surgical Therapy for Colorectal Metastases to the Liver in JOURNAL OF GASTROINTESTINAL SURGERY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00330-015-3615-5

    DOI

    http://dx.doi.org/10.1007/s00330-015-3615-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1013330161

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25899413


    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/2008/1112", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Oncology and Carcinogenesis", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged, 80 and over", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Case-Control Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chemotherapy, Adjuvant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Colorectal Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Contrast Media", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Diffusion Magnetic Resonance Imaging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gadolinium DTPA", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Liver Neoplasms", 
            "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": "Neoadjuvant Therapy", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Observer Variation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reference Standards", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Retrospective Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sensitivity and Specificity", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Konkuk University Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.411120.7", 
              "name": [
                "Department of Radiology, Konkuk University Medical Center, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yu", 
            "givenName": "Mi Hye", 
            "id": "sg:person.0647654606.75", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647654606.75"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 110-744, Seoul, Republic of Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Jeong Min", 
            "id": "sg:person.01266602714.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266602714.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Boramae Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.412479.d", 
              "name": [
                "Department of Radiology, Boramae Medical Center, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hur", 
            "givenName": "Bo Yun", 
            "id": "sg:person.01074174141.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074174141.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kim", 
            "givenName": "Tae-You", 
            "id": "sg:person.012010335604.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012010335604.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Surgery, Seoul National University Hospital, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Jeong", 
            "givenName": "Seung-Yong", 
            "id": "sg:person.01160355244.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160355244.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Surgery, Seoul National University Hospital, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yi", 
            "givenName": "Nam-Joon", 
            "id": "sg:person.0654144447.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654144447.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Surgery, Seoul National University Hospital, Seoul, Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Suh", 
            "givenName": "Kyung-Suk", 
            "id": "sg:person.01166661455.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166661455.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 110-744, Seoul, Republic of Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Han", 
            "givenName": "Joon Koo", 
            "id": "sg:person.0647723014.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Seoul National University Hospital", 
              "id": "https://www.grid.ac/institutes/grid.412484.f", 
              "name": [
                "Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 110-744, Seoul, Republic of Korea"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Choi", 
            "givenName": "Byung-Ihn", 
            "id": "sg:person.0716036214.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716036214.08"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1097/rli.0b013e31823a1495", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001356173"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/rli.0b013e31823a1495", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001356173"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-011-2333-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002227942", 
              "https://doi.org/10.1007/s00330-011-2333-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-012-2658-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002608864", 
              "https://doi.org/10.1007/s00330-012-2658-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11605-006-0061-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002763338", 
              "https://doi.org/10.1007/s11605-006-0061-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/s10434-009-0385-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003418847", 
              "https://doi.org/10.1245/s10434-009-0385-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000217629.94941.cf", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008912065"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000217629.94941.cf", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008912065"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiol.10100729", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011403732"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jmri.23514", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011806452"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00004424-198609000-00009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014660919"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00004424-198609000-00009", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014660919"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-008-1172-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019208972", 
              "https://doi.org/10.1007/s00330-008-1172-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-008-1172-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019208972", 
              "https://doi.org/10.1007/s00330-008-1172-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/s10434-006-9045-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019448373", 
              "https://doi.org/10.1245/s10434-006-9045-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00384-010-1065-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019503017", 
              "https://doi.org/10.1007/s00384-010-1065-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-010-1977-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020839102", 
              "https://doi.org/10.1007/s00330-010-1977-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1445-2197.2011.05789.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021120369"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000145964.08365.01", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022055193"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000145964.08365.01", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022055193"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/s10434-012-2300-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023005114", 
              "https://doi.org/10.1245/s10434-012-2300-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-009-1333-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025577383", 
              "https://doi.org/10.1007/s00330-009-1333-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-009-1333-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025577383", 
              "https://doi.org/10.1007/s00330-009-1333-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1159/000322390", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026834796"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11605-006-0032-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029393848", 
              "https://doi.org/10.1007/s11605-006-0032-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1155/2013/572307", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034811474"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3322/caac.20073", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042069193"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jmri.22671", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043149410"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejrad.2012.12.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045318756"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/rli.0b013e31821a2163", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045481718"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/rli.0b013e31821a2163", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045481718"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jmri.22880", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048357987"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiol.13131810", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050022104"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0048681", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053599797"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000141198.92114.f6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060331907"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000141198.92114.f6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060331907"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000141198.92114.f6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060331907"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000141198.92114.f6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060331907"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2005.00.349", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064204185"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1259/bjr/91771639", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064570427"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077462586", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiology.174.3.2305073", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1078632230"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-08", 
        "datePublishedReg": "2015-08-01", 
        "description": "OBJECTIVES: To investigate the diagnostic performance of gadoxetic acid-enhanced MRI including diffusion-weighted imaging (DWI) for the detection of colorectal liver metastases (CRLMs) after neoadjuvant chemotherapy (NAC).\nMETHODS: Our study population comprised 77 patients with 140 CRLMs who underwent gadoxetic acid-enhanced MRI within 1\u00a0month prior to surgery: group\u00a0A (without NAC, n\u2009=\u200938) and group\u00a0B (with NAC, n\u2009=\u200939). Two radiologists independently assessed all MR images and graded their diagnostic confidence for CRLM on a 5-point scale. Diagnostic accuracy, sensitivity and positive predictive values (PPV) were calculated and compared between the two groups.\nRESULTS: Diagnostic accuracy of gadoxetic acid-enhanced MRI in group\u00a0B was slightly lower than in group\u00a0A, but a statistically significant difference was not observed (observer\u00a01: A z, 0.926 in group\u00a0A, 0.905 in group\u00a0B; observer\u00a02: A z, 0.944 in group\u00a0A, 0.885 in group\u00a0B; p\u2009>\u20090.05). Sensitivity and PPV of group B were comparable to those of group A (observer\u00a01: sensitivity\u2009=\u200993.5\u00a0% vs. 93.6\u00a0%, PPV\u2009=\u200995.1\u00a0% vs. 86.9\u00a0%; observer\u00a02: sensitivity\u2009=\u200996.8\u00a0% vs. 91.0\u00a0%; PPV\u2009=\u200990.0\u00a0% vs. 89.7\u00a0%; all p\u2009>\u20090.05).\nCONCLUSIONS: Gadoxetic acid-enhanced MRI including DWI provided good diagnostic performance with high sensitivity (>90\u00a0%) for the detection of CRLMs, regardless of the influence of NAC.\nKEY POINTS: \u2022 Gadoxetic acid-enhanced MRI including DWI shows high sensitivity for CRLMs. \u2022 Chemotherapy does not influence the diagnostic performance of liver MRI for CRLMs. \u2022 Gadoxetic acid-enhanced MRI can be used for evaluation of CRLMs after NAC.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00330-015-3615-5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1289120", 
            "issn": [
              "0938-7994", 
              "1432-1084"
            ], 
            "name": "European Radiology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "8", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "25"
          }
        ], 
        "name": "Gadoxetic acid-enhanced MRI and diffusion-weighted imaging for the detection of colorectal liver metastases after neoadjuvant chemotherapy", 
        "pagination": "2428-2436", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "3f8055c3a54e8f9e2d342a296861e87425042ee2d88adfbd9e80a86f0ae7cf0c"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "25899413"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9114774"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00330-015-3615-5"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1013330161"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00330-015-3615-5", 
          "https://app.dimensions.ai/details/publication/pub.1013330161"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T12:15", 
        "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/v90/0000000361_0000000361/records_54011_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs00330-015-3615-5"
      }
    ]
     

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

    HOW TO GET THIS DATA PROGRAMMATICALLY:

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

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3615-5'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3615-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3615-5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-015-3615-5'


     

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

    319 TRIPLES      21 PREDICATES      81 URIs      41 LITERALS      29 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00330-015-3615-5 schema:about N0816b79859e84c0f97422b0bb1a3c645
    2 N175beab12969474cb4b240d20f3bc91d
    3 N2ba38f5dcfd84aaab91d85aba3890ef6
    4 N40264706cd9240659991f704f7380c69
    5 N4983589671dc4e46b1cea0620a212ec7
    6 N5b31a8ca223f4f88b95de22d72985f53
    7 N601381d9a2b742b3a8c5439f331c8d62
    8 N699da7da724d400b8fe49119a7821c21
    9 N81a0d9db787647999e7cd3126bbc25e8
    10 N998ab4bd52c446e6b8c4ff8bedb77f68
    11 Nad7c9142fb9c49f29937bcdcd63b9578
    12 Nb0c7dcdd518b44349d2c3f66de354033
    13 Nb49288dfdcdb4764b21f137e5f339b04
    14 Nc13533fd291c4c2e822c1e1656a62383
    15 Nc8ea97bc558941fd8ce0b0f86985c94b
    16 Ndef0cece537140b0be557d5e4580c8df
    17 Ndfa23da41bab4022a56a652d224611c8
    18 Ne10792ef9bfd40758efed716b046be85
    19 Nf7da297fee16468da50a92c3d207f4f3
    20 Nffe7d2478b3d43048057680343c391ca
    21 anzsrc-for:11
    22 anzsrc-for:1112
    23 schema:author N323f590b49b14d0291bd937e18e35bb3
    24 schema:citation sg:pub.10.1007/s00330-008-1172-x
    25 sg:pub.10.1007/s00330-009-1333-6
    26 sg:pub.10.1007/s00330-010-1977-2
    27 sg:pub.10.1007/s00330-011-2333-x
    28 sg:pub.10.1007/s00330-012-2658-0
    29 sg:pub.10.1007/s00384-010-1065-8
    30 sg:pub.10.1007/s11605-006-0032-8
    31 sg:pub.10.1007/s11605-006-0061-3
    32 sg:pub.10.1245/s10434-006-9045-5
    33 sg:pub.10.1245/s10434-009-0385-9
    34 sg:pub.10.1245/s10434-012-2300-z
    35 https://app.dimensions.ai/details/publication/pub.1077462586
    36 https://doi.org/10.1002/jmri.22671
    37 https://doi.org/10.1002/jmri.22880
    38 https://doi.org/10.1002/jmri.23514
    39 https://doi.org/10.1016/j.ejrad.2012.12.005
    40 https://doi.org/10.1097/00004424-198609000-00009
    41 https://doi.org/10.1097/01.sla.0000141198.92114.f6
    42 https://doi.org/10.1097/01.sla.0000145964.08365.01
    43 https://doi.org/10.1097/01.sla.0000217629.94941.cf
    44 https://doi.org/10.1097/rli.0b013e31821a2163
    45 https://doi.org/10.1097/rli.0b013e31823a1495
    46 https://doi.org/10.1111/j.1445-2197.2011.05789.x
    47 https://doi.org/10.1148/radiol.10100729
    48 https://doi.org/10.1148/radiol.13131810
    49 https://doi.org/10.1148/radiology.174.3.2305073
    50 https://doi.org/10.1155/2013/572307
    51 https://doi.org/10.1159/000322390
    52 https://doi.org/10.1200/jco.2005.00.349
    53 https://doi.org/10.1259/bjr/91771639
    54 https://doi.org/10.1371/journal.pone.0048681
    55 https://doi.org/10.3322/caac.20073
    56 schema:datePublished 2015-08
    57 schema:datePublishedReg 2015-08-01
    58 schema:description OBJECTIVES: To investigate the diagnostic performance of gadoxetic acid-enhanced MRI including diffusion-weighted imaging (DWI) for the detection of colorectal liver metastases (CRLMs) after neoadjuvant chemotherapy (NAC). METHODS: Our study population comprised 77 patients with 140 CRLMs who underwent gadoxetic acid-enhanced MRI within 1 month prior to surgery: group A (without NAC, n = 38) and group B (with NAC, n = 39). Two radiologists independently assessed all MR images and graded their diagnostic confidence for CRLM on a 5-point scale. Diagnostic accuracy, sensitivity and positive predictive values (PPV) were calculated and compared between the two groups. RESULTS: Diagnostic accuracy of gadoxetic acid-enhanced MRI in group B was slightly lower than in group A, but a statistically significant difference was not observed (observer 1: A z, 0.926 in group A, 0.905 in group B; observer 2: A z, 0.944 in group A, 0.885 in group B; p > 0.05). Sensitivity and PPV of group B were comparable to those of group A (observer 1: sensitivity = 93.5 % vs. 93.6 %, PPV = 95.1 % vs. 86.9 %; observer 2: sensitivity = 96.8 % vs. 91.0 %; PPV = 90.0 % vs. 89.7 %; all p > 0.05). CONCLUSIONS: Gadoxetic acid-enhanced MRI including DWI provided good diagnostic performance with high sensitivity (>90 %) for the detection of CRLMs, regardless of the influence of NAC. KEY POINTS: • Gadoxetic acid-enhanced MRI including DWI shows high sensitivity for CRLMs. • Chemotherapy does not influence the diagnostic performance of liver MRI for CRLMs. • Gadoxetic acid-enhanced MRI can be used for evaluation of CRLMs after NAC.
    59 schema:genre research_article
    60 schema:inLanguage en
    61 schema:isAccessibleForFree false
    62 schema:isPartOf N5f719623a86649a3a8c36740ae925097
    63 N61517b8a79ec4d1fa902b63484607efd
    64 sg:journal.1289120
    65 schema:name Gadoxetic acid-enhanced MRI and diffusion-weighted imaging for the detection of colorectal liver metastases after neoadjuvant chemotherapy
    66 schema:pagination 2428-2436
    67 schema:productId N21ac955a8a0a4c9a98b8a4591467109c
    68 N24d8ab116a92456c840e38eddd566eb9
    69 N38023b50f40c4cc2b0f3586b1eeb36b8
    70 N59b166774d6740249e0e7be7d5360aa4
    71 Na3442af2f8e74fccadcd6f8646bb5d74
    72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013330161
    73 https://doi.org/10.1007/s00330-015-3615-5
    74 schema:sdDatePublished 2019-04-11T12:15
    75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    76 schema:sdPublisher N3a250c58240f44c8bb3fff0676319aba
    77 schema:url http://link.springer.com/10.1007%2Fs00330-015-3615-5
    78 sgo:license sg:explorer/license/
    79 sgo:sdDataset articles
    80 rdf:type schema:ScholarlyArticle
    81 N0816b79859e84c0f97422b0bb1a3c645 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    82 schema:name Male
    83 rdf:type schema:DefinedTerm
    84 N175beab12969474cb4b240d20f3bc91d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    85 schema:name Sensitivity and Specificity
    86 rdf:type schema:DefinedTerm
    87 N1cf01c6ca418492289cc2e839d945888 rdf:first sg:person.01266602714.81
    88 rdf:rest Nc0f96cd4bbb24629ba9a217de9f9df81
    89 N21ac955a8a0a4c9a98b8a4591467109c schema:name pubmed_id
    90 schema:value 25899413
    91 rdf:type schema:PropertyValue
    92 N24d8ab116a92456c840e38eddd566eb9 schema:name dimensions_id
    93 schema:value pub.1013330161
    94 rdf:type schema:PropertyValue
    95 N2ba38f5dcfd84aaab91d85aba3890ef6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    96 schema:name Gadolinium DTPA
    97 rdf:type schema:DefinedTerm
    98 N323f590b49b14d0291bd937e18e35bb3 rdf:first sg:person.0647654606.75
    99 rdf:rest N1cf01c6ca418492289cc2e839d945888
    100 N38023b50f40c4cc2b0f3586b1eeb36b8 schema:name doi
    101 schema:value 10.1007/s00330-015-3615-5
    102 rdf:type schema:PropertyValue
    103 N3a250c58240f44c8bb3fff0676319aba schema:name Springer Nature - SN SciGraph project
    104 rdf:type schema:Organization
    105 N40264706cd9240659991f704f7380c69 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    106 schema:name Female
    107 rdf:type schema:DefinedTerm
    108 N4983589671dc4e46b1cea0620a212ec7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    109 schema:name Colorectal Neoplasms
    110 rdf:type schema:DefinedTerm
    111 N59b166774d6740249e0e7be7d5360aa4 schema:name readcube_id
    112 schema:value 3f8055c3a54e8f9e2d342a296861e87425042ee2d88adfbd9e80a86f0ae7cf0c
    113 rdf:type schema:PropertyValue
    114 N5b31a8ca223f4f88b95de22d72985f53 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    115 schema:name Chemotherapy, Adjuvant
    116 rdf:type schema:DefinedTerm
    117 N5f719623a86649a3a8c36740ae925097 schema:volumeNumber 25
    118 rdf:type schema:PublicationVolume
    119 N601381d9a2b742b3a8c5439f331c8d62 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Adult
    121 rdf:type schema:DefinedTerm
    122 N61517b8a79ec4d1fa902b63484607efd schema:issueNumber 8
    123 rdf:type schema:PublicationIssue
    124 N699da7da724d400b8fe49119a7821c21 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    125 schema:name Diffusion Magnetic Resonance Imaging
    126 rdf:type schema:DefinedTerm
    127 N6ff00f37bd204abebd945acd7b7fabc9 rdf:first sg:person.012010335604.34
    128 rdf:rest Nc7c951007cca405aac4876c2f3934d11
    129 N78cc3a3701e54c5498432d5a921c2cdf rdf:first sg:person.0716036214.08
    130 rdf:rest rdf:nil
    131 N81a0d9db787647999e7cd3126bbc25e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Reference Standards
    133 rdf:type schema:DefinedTerm
    134 N998ab4bd52c446e6b8c4ff8bedb77f68 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    135 schema:name Aged
    136 rdf:type schema:DefinedTerm
    137 Na3442af2f8e74fccadcd6f8646bb5d74 schema:name nlm_unique_id
    138 schema:value 9114774
    139 rdf:type schema:PropertyValue
    140 Nad7c9142fb9c49f29937bcdcd63b9578 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name Contrast Media
    142 rdf:type schema:DefinedTerm
    143 Nb0c7dcdd518b44349d2c3f66de354033 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Liver Neoplasms
    145 rdf:type schema:DefinedTerm
    146 Nb49288dfdcdb4764b21f137e5f339b04 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Humans
    148 rdf:type schema:DefinedTerm
    149 Nb655d0d8ea4d4847bd29729ff5a55255 rdf:first sg:person.01166661455.74
    150 rdf:rest Ne4707f0d05a8482281aa7ca9afba830f
    151 Nc0f96cd4bbb24629ba9a217de9f9df81 rdf:first sg:person.01074174141.03
    152 rdf:rest N6ff00f37bd204abebd945acd7b7fabc9
    153 Nc13533fd291c4c2e822c1e1656a62383 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    154 schema:name Case-Control Studies
    155 rdf:type schema:DefinedTerm
    156 Nc7c951007cca405aac4876c2f3934d11 rdf:first sg:person.01160355244.12
    157 rdf:rest Ne75ee7a1a705490787d4de3a95983e61
    158 Nc8ea97bc558941fd8ce0b0f86985c94b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Magnetic Resonance Imaging
    160 rdf:type schema:DefinedTerm
    161 Ndef0cece537140b0be557d5e4580c8df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    162 schema:name Retrospective Studies
    163 rdf:type schema:DefinedTerm
    164 Ndfa23da41bab4022a56a652d224611c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Neoadjuvant Therapy
    166 rdf:type schema:DefinedTerm
    167 Ne10792ef9bfd40758efed716b046be85 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Observer Variation
    169 rdf:type schema:DefinedTerm
    170 Ne4707f0d05a8482281aa7ca9afba830f rdf:first sg:person.0647723014.95
    171 rdf:rest N78cc3a3701e54c5498432d5a921c2cdf
    172 Ne75ee7a1a705490787d4de3a95983e61 rdf:first sg:person.0654144447.73
    173 rdf:rest Nb655d0d8ea4d4847bd29729ff5a55255
    174 Nf7da297fee16468da50a92c3d207f4f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    175 schema:name Middle Aged
    176 rdf:type schema:DefinedTerm
    177 Nffe7d2478b3d43048057680343c391ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    178 schema:name Aged, 80 and over
    179 rdf:type schema:DefinedTerm
    180 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    181 schema:name Medical and Health Sciences
    182 rdf:type schema:DefinedTerm
    183 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    184 schema:name Oncology and Carcinogenesis
    185 rdf:type schema:DefinedTerm
    186 sg:journal.1289120 schema:issn 0938-7994
    187 1432-1084
    188 schema:name European Radiology
    189 rdf:type schema:Periodical
    190 sg:person.01074174141.03 schema:affiliation https://www.grid.ac/institutes/grid.412479.d
    191 schema:familyName Hur
    192 schema:givenName Bo Yun
    193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074174141.03
    194 rdf:type schema:Person
    195 sg:person.01160355244.12 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
    196 schema:familyName Jeong
    197 schema:givenName Seung-Yong
    198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01160355244.12
    199 rdf:type schema:Person
    200 sg:person.01166661455.74 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
    201 schema:familyName Suh
    202 schema:givenName Kyung-Suk
    203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166661455.74
    204 rdf:type schema:Person
    205 sg:person.012010335604.34 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
    206 schema:familyName Kim
    207 schema:givenName Tae-You
    208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012010335604.34
    209 rdf:type schema:Person
    210 sg:person.01266602714.81 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
    211 schema:familyName Lee
    212 schema:givenName Jeong Min
    213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266602714.81
    214 rdf:type schema:Person
    215 sg:person.0647654606.75 schema:affiliation https://www.grid.ac/institutes/grid.411120.7
    216 schema:familyName Yu
    217 schema:givenName Mi Hye
    218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647654606.75
    219 rdf:type schema:Person
    220 sg:person.0647723014.95 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
    221 schema:familyName Han
    222 schema:givenName Joon Koo
    223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647723014.95
    224 rdf:type schema:Person
    225 sg:person.0654144447.73 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
    226 schema:familyName Yi
    227 schema:givenName Nam-Joon
    228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654144447.73
    229 rdf:type schema:Person
    230 sg:person.0716036214.08 schema:affiliation https://www.grid.ac/institutes/grid.412484.f
    231 schema:familyName Choi
    232 schema:givenName Byung-Ihn
    233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0716036214.08
    234 rdf:type schema:Person
    235 sg:pub.10.1007/s00330-008-1172-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019208972
    236 https://doi.org/10.1007/s00330-008-1172-x
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1007/s00330-009-1333-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025577383
    239 https://doi.org/10.1007/s00330-009-1333-6
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1007/s00330-010-1977-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020839102
    242 https://doi.org/10.1007/s00330-010-1977-2
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1007/s00330-011-2333-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002227942
    245 https://doi.org/10.1007/s00330-011-2333-x
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1007/s00330-012-2658-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002608864
    248 https://doi.org/10.1007/s00330-012-2658-0
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1007/s00384-010-1065-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019503017
    251 https://doi.org/10.1007/s00384-010-1065-8
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1007/s11605-006-0032-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029393848
    254 https://doi.org/10.1007/s11605-006-0032-8
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1007/s11605-006-0061-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002763338
    257 https://doi.org/10.1007/s11605-006-0061-3
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1245/s10434-006-9045-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019448373
    260 https://doi.org/10.1245/s10434-006-9045-5
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1245/s10434-009-0385-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003418847
    263 https://doi.org/10.1245/s10434-009-0385-9
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1245/s10434-012-2300-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1023005114
    266 https://doi.org/10.1245/s10434-012-2300-z
    267 rdf:type schema:CreativeWork
    268 https://app.dimensions.ai/details/publication/pub.1077462586 schema:CreativeWork
    269 https://doi.org/10.1002/jmri.22671 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043149410
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1002/jmri.22880 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048357987
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1002/jmri.23514 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011806452
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1016/j.ejrad.2012.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045318756
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1097/00004424-198609000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014660919
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1097/01.sla.0000141198.92114.f6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060331907
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1097/01.sla.0000145964.08365.01 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022055193
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1097/01.sla.0000217629.94941.cf schema:sameAs https://app.dimensions.ai/details/publication/pub.1008912065
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1097/rli.0b013e31821a2163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045481718
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1097/rli.0b013e31823a1495 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001356173
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1111/j.1445-2197.2011.05789.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021120369
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1148/radiol.10100729 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011403732
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1148/radiol.13131810 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050022104
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1148/radiology.174.3.2305073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078632230
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1155/2013/572307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034811474
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1159/000322390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026834796
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1200/jco.2005.00.349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064204185
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1259/bjr/91771639 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064570427
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1371/journal.pone.0048681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053599797
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.3322/caac.20073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042069193
    308 rdf:type schema:CreativeWork
    309 https://www.grid.ac/institutes/grid.411120.7 schema:alternateName Konkuk University Medical Center
    310 schema:name Department of Radiology, Konkuk University Medical Center, Seoul, Korea
    311 rdf:type schema:Organization
    312 https://www.grid.ac/institutes/grid.412479.d schema:alternateName Boramae Medical Center
    313 schema:name Department of Radiology, Boramae Medical Center, Seoul, Korea
    314 rdf:type schema:Organization
    315 https://www.grid.ac/institutes/grid.412484.f schema:alternateName Seoul National University Hospital
    316 schema:name Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
    317 Department of Radiology, Seoul National University Hospital, 101 Daehangno, Jongno-gu, 110-744, Seoul, Republic of Korea
    318 Department of Surgery, Seoul National University Hospital, Seoul, Korea
    319 rdf:type schema:Organization
     




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


    ...