The combined evaluation of interim contrast-enhanced computerized tomography (CT) and FDG-PET/CT predicts the clinical outcomes and may impact on the ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-05

AUTHORS

Deok-Hwan Yang, Jung-Joon Min, Yong Yeon Jeong, Jae-Sook Ahn, Yeo-Kyeoung Kim, Sang-Hee Cho, Ik-Joo Chung, Hee-Seung Bom, Hyeoung-Joon Kim, Je-Jung Lee

ABSTRACT

We investigated the concomitant interim response of patients with aggressive non-Hodgkin's lymphoma (NHL) using multi-detector row computerized tomography (CT) and (18)F-fluoro-2-deoxy-D: -glucose-positron emission tomography (PET)/CT for prediction of clinical outcomes. One hundred six newly diagnosed patients with aggressive NHL were enrolled. Both the CT and PET/CT were serially performed at the time of diagnosis and after three to four cycles of chemotherapy (interim). The patients were categorized into four different responsive groups according to the interim PET/CT and CT: (1) complete metabolic response (CMR)-complete response unconfirmed (CRu), (2) CMR-partial response (PR), (3) partial metabolic response (PMR)-Cru, and (4) PMR-PR. Fifty-five patients with CMR-CRu, 20 patients with CMR-PR, seven patients with PMR-Cru, and 23 patients with PMR-PR were distributed. In addition, one patient experienced a disease progression. There was a significant difference in relapse rates between PET/CT-positive (67.3%) and PET/CT-negative patients (17.3%; P < 0.01). Also, there was a significant difference between patients with PMR-PR (32.0% and 26.1%) and CMR-CRu (89.3% and 80.0%) for 3-year overall survival (OS) and event-free survival (EFS), respectively. A multivariate analysis revealed that high international prognostic index (> or =3) at diagnosis, T-cell phenotype, and PMR-PR in interim PET/CT and CT were independent prognostic significances for OS. Moreover, bulky disease (>10 cm), T-cell phenotype, and PMR-PR showed significant associations for EFS. PMR-PR in interim response was the predictive prognostic determinant for both OS and EFS, with a hazard ratio of 3.93 (1.61-9.60) and 3.60 (1.62-7.98), respectively. The combined evaluation of interim PET/CT and CT was found to be a significant predictor of disease progression, OS, and EFS. More... »

PAGES

425-432

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00277-008-0616-3

DOI

http://dx.doi.org/10.1007/s00277-008-0616-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018486960

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19002686


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": "Adolescent", 
        "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": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fluorodeoxyglucose F18", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymphoma, Non-Hodgkin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolism", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm, Residual", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Positron-Emission Tomography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Remission Induction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "T-Lymphocytes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hwasun Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411602.0", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 160 Ilsim-ri, Hwasun-eup, 519-809, Hwasun-gun, Jeollanam-do, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Deok-Hwan", 
        "id": "sg:person.0753367262.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753367262.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Education", 
          "id": "https://www.grid.ac/institutes/grid.452901.b", 
          "name": [
            "Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Hwasun, Jeollanam-do, Republic of Korea", 
            "The Brain Korea 21 Project, Center for Biomedical Human Resources at Chonnam National University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Min", 
        "givenName": "Jung-Joon", 
        "id": "sg:person.012202121357.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012202121357.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Education", 
          "id": "https://www.grid.ac/institutes/grid.452901.b", 
          "name": [
            "Department of Radiology, Chonnam National University Hwasun Hospital, Hwasun, Jeollanam-do, Republic of Korea", 
            "The Brain Korea 21 Project, Center for Biomedical Human Resources at Chonnam National University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeong", 
        "givenName": "Yong Yeon", 
        "id": "sg:person.0725137626.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725137626.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hwasun Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411602.0", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 160 Ilsim-ri, Hwasun-eup, 519-809, Hwasun-gun, Jeollanam-do, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahn", 
        "givenName": "Jae-Sook", 
        "id": "sg:person.01017560023.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017560023.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hwasun Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411602.0", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 160 Ilsim-ri, Hwasun-eup, 519-809, Hwasun-gun, Jeollanam-do, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Yeo-Kyeoung", 
        "id": "sg:person.01357201730.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357201730.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Education", 
          "id": "https://www.grid.ac/institutes/grid.452901.b", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 160 Ilsim-ri, Hwasun-eup, 519-809, Hwasun-gun, Jeollanam-do, Republic of Korea", 
            "The Brain Korea 21 Project, Center for Biomedical Human Resources at Chonnam National University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cho", 
        "givenName": "Sang-Hee", 
        "id": "sg:person.0650056626.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650056626.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Education", 
          "id": "https://www.grid.ac/institutes/grid.452901.b", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 160 Ilsim-ri, Hwasun-eup, 519-809, Hwasun-gun, Jeollanam-do, Republic of Korea", 
            "The Brain Korea 21 Project, Center for Biomedical Human Resources at Chonnam National University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chung", 
        "givenName": "Ik-Joo", 
        "id": "sg:person.01023725662.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023725662.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Education", 
          "id": "https://www.grid.ac/institutes/grid.452901.b", 
          "name": [
            "Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Hwasun, Jeollanam-do, Republic of Korea", 
            "The Brain Korea 21 Project, Center for Biomedical Human Resources at Chonnam National University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bom", 
        "givenName": "Hee-Seung", 
        "id": "sg:person.01357201565.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357201565.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Education", 
          "id": "https://www.grid.ac/institutes/grid.452901.b", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 160 Ilsim-ri, Hwasun-eup, 519-809, Hwasun-gun, Jeollanam-do, Republic of Korea", 
            "The Brain Korea 21 Project, Center for Biomedical Human Resources at Chonnam National University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Hyeoung-Joon", 
        "id": "sg:person.0617770714.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617770714.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Education", 
          "id": "https://www.grid.ac/institutes/grid.452901.b", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 160 Ilsim-ri, Hwasun-eup, 519-809, Hwasun-gun, Jeollanam-do, Republic of Korea", 
            "The Brain Korea 21 Project, Center for Biomedical Human Resources at Chonnam National University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Je-Jung", 
        "id": "sg:person.01204441075.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204441075.42"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1182/blood-2005-01-0272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005883285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199309303291402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013554742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.12.072", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024927204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00277-006-0151-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028827501", 
          "https://doi.org/10.1007/s00277-006-0151-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00277-006-0151-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028827501", 
          "https://doi.org/10.1007/s00277-006-0151-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdi272", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032993125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3816/clm.2002.n.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034241586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2006-08-038257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036676724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mnm.0000171781.11027.bb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040004914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mnm.0000171781.11027.bb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040004914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mnm.0000171781.11027.bb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040004914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa012914", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040112680"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdi200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041182798"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdi271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042236323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/annonc/mdi271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042236323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/028418600750013393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043849517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2005-06-2252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046000498"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10428190701559140", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048223493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10428190009113384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048942643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.rcl.2008.04.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049617355"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10245330701393840", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058358226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074488269", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1999.17.4.1244", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074549729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2001.19.2.414", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074768327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075100806", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077151715", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1986.4.2.160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078807170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1989.7.8.1018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078897228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1988.6.12.1832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079608137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1988.6.6.931", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079709964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082422079", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-05", 
    "datePublishedReg": "2009-05-01", 
    "description": "We investigated the concomitant interim response of patients with aggressive non-Hodgkin's lymphoma (NHL) using multi-detector row computerized tomography (CT) and (18)F-fluoro-2-deoxy-D: -glucose-positron emission tomography (PET)/CT for prediction of clinical outcomes. One hundred six newly diagnosed patients with aggressive NHL were enrolled. Both the CT and PET/CT were serially performed at the time of diagnosis and after three to four cycles of chemotherapy (interim). The patients were categorized into four different responsive groups according to the interim PET/CT and CT: (1) complete metabolic response (CMR)-complete response unconfirmed (CRu), (2) CMR-partial response (PR), (3) partial metabolic response (PMR)-Cru, and (4) PMR-PR. Fifty-five patients with CMR-CRu, 20 patients with CMR-PR, seven patients with PMR-Cru, and 23 patients with PMR-PR were distributed. In addition, one patient experienced a disease progression. There was a significant difference in relapse rates between PET/CT-positive (67.3%) and PET/CT-negative patients (17.3%; P < 0.01). Also, there was a significant difference between patients with PMR-PR (32.0% and 26.1%) and CMR-CRu (89.3% and 80.0%) for 3-year overall survival (OS) and event-free survival (EFS), respectively. A multivariate analysis revealed that high international prognostic index (> or =3) at diagnosis, T-cell phenotype, and PMR-PR in interim PET/CT and CT were independent prognostic significances for OS. Moreover, bulky disease (>10 cm), T-cell phenotype, and PMR-PR showed significant associations for EFS. PMR-PR in interim response was the predictive prognostic determinant for both OS and EFS, with a hazard ratio of 3.93 (1.61-9.60) and 3.60 (1.62-7.98), respectively. The combined evaluation of interim PET/CT and CT was found to be a significant predictor of disease progression, OS, and EFS.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00277-008-0616-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018247", 
        "issn": [
          "1269-3286", 
          "1279-8509"
        ], 
        "name": "Annals of Hematology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "88"
      }
    ], 
    "name": "The combined evaluation of interim contrast-enhanced computerized tomography (CT) and FDG-PET/CT predicts the clinical outcomes and may impact on the therapeutic plans in patients with aggressive non-Hodgkin\u2019s lymphoma", 
    "pagination": "425-432", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "581583170fa288aeb8beba515c3039792a0c7c78b0c753bf429d217c33342647"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19002686"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9107334"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00277-008-0616-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1018486960"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00277-008-0616-3", 
      "https://app.dimensions.ai/details/publication/pub.1018486960"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:33", 
    "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/v90/0000000373_0000000373/records_13104_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00277-008-0616-3"
  }
]
 

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/s00277-008-0616-3'

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/s00277-008-0616-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00277-008-0616-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00277-008-0616-3'


 

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

296 TRIPLES      21 PREDICATES      76 URIs      41 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00277-008-0616-3 schema:about N0771424456784b76a5521ccf014752fd
2 N0ac8f228eea941cdb0127d2448e63fc9
3 N0fdd61f954894662a6a14e79c75c2337
4 N30f02d01118b40069925ad7257ca59fa
5 N318ea6d956a34f62ab22a4373a927753
6 N3f3abda9563a4a5496873c2470cd4876
7 N629732fbb63b4fd0a6dded0868ea8ddd
8 N62b77c971a3b4852b5fbc61763942c93
9 N64bd07f6b92a4cb2b2f6802c3ac26a89
10 N82b4630ce688462186c796ebbd9ee41a
11 N97b214700ff542cda8225b33de9b4c59
12 Na813750e1f4f4fc5b4d17413ba2034b9
13 Nb9e7e0dfca55467bae5143b2e32864bc
14 Nc4710e8d71014ddd965b06899b589565
15 Nca56111f1e664637be80499f31974f32
16 Nd8b318a12ea54c728d486c8be2b94e69
17 Nda2a2104b0834c44935ccd620b442654
18 Ne60a16676f9c4a3c9e1eefbb94e2f3c3
19 Nea72f104275c4d938044de0550f38221
20 Nfb41114c77824640a8b305a698c58ea6
21 anzsrc-for:11
22 anzsrc-for:1112
23 schema:author Nc18240e8aae0476c93ddae4c6ffa5db4
24 schema:citation sg:pub.10.1007/s00277-006-0151-z
25 https://app.dimensions.ai/details/publication/pub.1074488269
26 https://app.dimensions.ai/details/publication/pub.1075100806
27 https://app.dimensions.ai/details/publication/pub.1077151715
28 https://app.dimensions.ai/details/publication/pub.1082422079
29 https://doi.org/10.1016/j.rcl.2008.04.002
30 https://doi.org/10.1056/nejm199309303291402
31 https://doi.org/10.1056/nejmoa012914
32 https://doi.org/10.1080/028418600750013393
33 https://doi.org/10.1080/10245330701393840
34 https://doi.org/10.1080/10428190701559140
35 https://doi.org/10.1093/annonc/mdi200
36 https://doi.org/10.1093/annonc/mdi271
37 https://doi.org/10.1093/annonc/mdi272
38 https://doi.org/10.1097/01.mnm.0000171781.11027.bb
39 https://doi.org/10.1182/blood-2005-01-0272
40 https://doi.org/10.1182/blood-2005-06-2252
41 https://doi.org/10.1182/blood-2006-08-038257
42 https://doi.org/10.1200/jco.1986.4.2.160
43 https://doi.org/10.1200/jco.1988.6.12.1832
44 https://doi.org/10.1200/jco.1988.6.6.931
45 https://doi.org/10.1200/jco.1989.7.8.1018
46 https://doi.org/10.1200/jco.1999.17.4.1244
47 https://doi.org/10.1200/jco.2001.19.2.414
48 https://doi.org/10.1200/jco.2005.12.072
49 https://doi.org/10.3109/10428190009113384
50 https://doi.org/10.3816/clm.2002.n.006
51 schema:datePublished 2009-05
52 schema:datePublishedReg 2009-05-01
53 schema:description We investigated the concomitant interim response of patients with aggressive non-Hodgkin's lymphoma (NHL) using multi-detector row computerized tomography (CT) and (18)F-fluoro-2-deoxy-D: -glucose-positron emission tomography (PET)/CT for prediction of clinical outcomes. One hundred six newly diagnosed patients with aggressive NHL were enrolled. Both the CT and PET/CT were serially performed at the time of diagnosis and after three to four cycles of chemotherapy (interim). The patients were categorized into four different responsive groups according to the interim PET/CT and CT: (1) complete metabolic response (CMR)-complete response unconfirmed (CRu), (2) CMR-partial response (PR), (3) partial metabolic response (PMR)-Cru, and (4) PMR-PR. Fifty-five patients with CMR-CRu, 20 patients with CMR-PR, seven patients with PMR-Cru, and 23 patients with PMR-PR were distributed. In addition, one patient experienced a disease progression. There was a significant difference in relapse rates between PET/CT-positive (67.3%) and PET/CT-negative patients (17.3%; P < 0.01). Also, there was a significant difference between patients with PMR-PR (32.0% and 26.1%) and CMR-CRu (89.3% and 80.0%) for 3-year overall survival (OS) and event-free survival (EFS), respectively. A multivariate analysis revealed that high international prognostic index (> or =3) at diagnosis, T-cell phenotype, and PMR-PR in interim PET/CT and CT were independent prognostic significances for OS. Moreover, bulky disease (>10 cm), T-cell phenotype, and PMR-PR showed significant associations for EFS. PMR-PR in interim response was the predictive prognostic determinant for both OS and EFS, with a hazard ratio of 3.93 (1.61-9.60) and 3.60 (1.62-7.98), respectively. The combined evaluation of interim PET/CT and CT was found to be a significant predictor of disease progression, OS, and EFS.
54 schema:genre research_article
55 schema:inLanguage en
56 schema:isAccessibleForFree false
57 schema:isPartOf N9c6c95563129490493aef03db8b0496d
58 Nc8cdaa1970a340d8b38b6a55490c05c6
59 sg:journal.1018247
60 schema:name The combined evaluation of interim contrast-enhanced computerized tomography (CT) and FDG-PET/CT predicts the clinical outcomes and may impact on the therapeutic plans in patients with aggressive non-Hodgkin’s lymphoma
61 schema:pagination 425-432
62 schema:productId N08463b53284d49ba9f25c0620ee5755f
63 N17267924a0a343c9ac6014c5ee70c6a6
64 N95a3675ff7994f32a781fd935f8cdf8c
65 Nb7d2b1d0a86445a69eaf372af1aeb35f
66 Ne7753aca685e4e818bbc5cb810c8f9d9
67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018486960
68 https://doi.org/10.1007/s00277-008-0616-3
69 schema:sdDatePublished 2019-04-11T14:33
70 schema:sdLicense https://scigraph.springernature.com/explorer/license/
71 schema:sdPublisher N0a2c34c267414926ad684ca190682676
72 schema:url http://link.springer.com/10.1007/s00277-008-0616-3
73 sgo:license sg:explorer/license/
74 sgo:sdDataset articles
75 rdf:type schema:ScholarlyArticle
76 N0026efbf96d1417d9e4cb2f19e956e97 rdf:first sg:person.01204441075.42
77 rdf:rest rdf:nil
78 N025f761cf28d447d9f8ab355b642fe95 rdf:first sg:person.0725137626.32
79 rdf:rest N70d54f92dfbf4bf8af16f12517809e6d
80 N0771424456784b76a5521ccf014752fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Adolescent
82 rdf:type schema:DefinedTerm
83 N08463b53284d49ba9f25c0620ee5755f schema:name pubmed_id
84 schema:value 19002686
85 rdf:type schema:PropertyValue
86 N0a2c34c267414926ad684ca190682676 schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 N0ac8f228eea941cdb0127d2448e63fc9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Female
90 rdf:type schema:DefinedTerm
91 N0fdd61f954894662a6a14e79c75c2337 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Treatment Outcome
93 rdf:type schema:DefinedTerm
94 N17267924a0a343c9ac6014c5ee70c6a6 schema:name dimensions_id
95 schema:value pub.1018486960
96 rdf:type schema:PropertyValue
97 N2c6674c936e14484aa44edfcfcd26d52 rdf:first sg:person.01357201730.48
98 rdf:rest N92320cbb8c9c4b1c98f6cc8a25ffff62
99 N30f02d01118b40069925ad7257ca59fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Humans
101 rdf:type schema:DefinedTerm
102 N318ea6d956a34f62ab22a4373a927753 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Survival Analysis
104 rdf:type schema:DefinedTerm
105 N3f3abda9563a4a5496873c2470cd4876 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Positron-Emission Tomography
107 rdf:type schema:DefinedTerm
108 N5b5a348f21fb41ab9916130821960ec6 rdf:first sg:person.01357201565.70
109 rdf:rest N85264a3192fe4e8984a247dadc2e9061
110 N629732fbb63b4fd0a6dded0868ea8ddd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Young Adult
112 rdf:type schema:DefinedTerm
113 N62b77c971a3b4852b5fbc61763942c93 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Fluorodeoxyglucose F18
115 rdf:type schema:DefinedTerm
116 N64bd07f6b92a4cb2b2f6802c3ac26a89 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Lymphoma, Non-Hodgkin
118 rdf:type schema:DefinedTerm
119 N70d54f92dfbf4bf8af16f12517809e6d rdf:first sg:person.01017560023.88
120 rdf:rest N2c6674c936e14484aa44edfcfcd26d52
121 N82b4630ce688462186c796ebbd9ee41a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Prognosis
123 rdf:type schema:DefinedTerm
124 N85264a3192fe4e8984a247dadc2e9061 rdf:first sg:person.0617770714.19
125 rdf:rest N0026efbf96d1417d9e4cb2f19e956e97
126 N92320cbb8c9c4b1c98f6cc8a25ffff62 rdf:first sg:person.0650056626.63
127 rdf:rest Nc48fc7c1ed0a4aaaaf39da3d607399a2
128 N95a3675ff7994f32a781fd935f8cdf8c schema:name doi
129 schema:value 10.1007/s00277-008-0616-3
130 rdf:type schema:PropertyValue
131 N97b214700ff542cda8225b33de9b4c59 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Tomography, X-Ray Computed
133 rdf:type schema:DefinedTerm
134 N9c6c95563129490493aef03db8b0496d schema:issueNumber 5
135 rdf:type schema:PublicationIssue
136 Na813750e1f4f4fc5b4d17413ba2034b9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Aged, 80 and over
138 rdf:type schema:DefinedTerm
139 Nb7d2b1d0a86445a69eaf372af1aeb35f schema:name nlm_unique_id
140 schema:value 9107334
141 rdf:type schema:PropertyValue
142 Nb9e7e0dfca55467bae5143b2e32864bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Male
144 rdf:type schema:DefinedTerm
145 Nc18240e8aae0476c93ddae4c6ffa5db4 rdf:first sg:person.0753367262.83
146 rdf:rest Nda80f56a513746659d32c100f47c6123
147 Nc4710e8d71014ddd965b06899b589565 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name T-Lymphocytes
149 rdf:type schema:DefinedTerm
150 Nc48fc7c1ed0a4aaaaf39da3d607399a2 rdf:first sg:person.01023725662.02
151 rdf:rest N5b5a348f21fb41ab9916130821960ec6
152 Nc8cdaa1970a340d8b38b6a55490c05c6 schema:volumeNumber 88
153 rdf:type schema:PublicationVolume
154 Nca56111f1e664637be80499f31974f32 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Middle Aged
156 rdf:type schema:DefinedTerm
157 Nd8b318a12ea54c728d486c8be2b94e69 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Metabolism
159 rdf:type schema:DefinedTerm
160 Nda2a2104b0834c44935ccd620b442654 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Aged
162 rdf:type schema:DefinedTerm
163 Nda80f56a513746659d32c100f47c6123 rdf:first sg:person.012202121357.56
164 rdf:rest N025f761cf28d447d9f8ab355b642fe95
165 Ne60a16676f9c4a3c9e1eefbb94e2f3c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Adult
167 rdf:type schema:DefinedTerm
168 Ne7753aca685e4e818bbc5cb810c8f9d9 schema:name readcube_id
169 schema:value 581583170fa288aeb8beba515c3039792a0c7c78b0c753bf429d217c33342647
170 rdf:type schema:PropertyValue
171 Nea72f104275c4d938044de0550f38221 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Neoplasm, Residual
173 rdf:type schema:DefinedTerm
174 Nfb41114c77824640a8b305a698c58ea6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Remission Induction
176 rdf:type schema:DefinedTerm
177 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
178 schema:name Medical and Health Sciences
179 rdf:type schema:DefinedTerm
180 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
181 schema:name Oncology and Carcinogenesis
182 rdf:type schema:DefinedTerm
183 sg:journal.1018247 schema:issn 1269-3286
184 1279-8509
185 schema:name Annals of Hematology
186 rdf:type schema:Periodical
187 sg:person.01017560023.88 schema:affiliation https://www.grid.ac/institutes/grid.411602.0
188 schema:familyName Ahn
189 schema:givenName Jae-Sook
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017560023.88
191 rdf:type schema:Person
192 sg:person.01023725662.02 schema:affiliation https://www.grid.ac/institutes/grid.452901.b
193 schema:familyName Chung
194 schema:givenName Ik-Joo
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023725662.02
196 rdf:type schema:Person
197 sg:person.01204441075.42 schema:affiliation https://www.grid.ac/institutes/grid.452901.b
198 schema:familyName Lee
199 schema:givenName Je-Jung
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204441075.42
201 rdf:type schema:Person
202 sg:person.012202121357.56 schema:affiliation https://www.grid.ac/institutes/grid.452901.b
203 schema:familyName Min
204 schema:givenName Jung-Joon
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012202121357.56
206 rdf:type schema:Person
207 sg:person.01357201565.70 schema:affiliation https://www.grid.ac/institutes/grid.452901.b
208 schema:familyName Bom
209 schema:givenName Hee-Seung
210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357201565.70
211 rdf:type schema:Person
212 sg:person.01357201730.48 schema:affiliation https://www.grid.ac/institutes/grid.411602.0
213 schema:familyName Kim
214 schema:givenName Yeo-Kyeoung
215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357201730.48
216 rdf:type schema:Person
217 sg:person.0617770714.19 schema:affiliation https://www.grid.ac/institutes/grid.452901.b
218 schema:familyName Kim
219 schema:givenName Hyeoung-Joon
220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617770714.19
221 rdf:type schema:Person
222 sg:person.0650056626.63 schema:affiliation https://www.grid.ac/institutes/grid.452901.b
223 schema:familyName Cho
224 schema:givenName Sang-Hee
225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650056626.63
226 rdf:type schema:Person
227 sg:person.0725137626.32 schema:affiliation https://www.grid.ac/institutes/grid.452901.b
228 schema:familyName Jeong
229 schema:givenName Yong Yeon
230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725137626.32
231 rdf:type schema:Person
232 sg:person.0753367262.83 schema:affiliation https://www.grid.ac/institutes/grid.411602.0
233 schema:familyName Yang
234 schema:givenName Deok-Hwan
235 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753367262.83
236 rdf:type schema:Person
237 sg:pub.10.1007/s00277-006-0151-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1028827501
238 https://doi.org/10.1007/s00277-006-0151-z
239 rdf:type schema:CreativeWork
240 https://app.dimensions.ai/details/publication/pub.1074488269 schema:CreativeWork
241 https://app.dimensions.ai/details/publication/pub.1075100806 schema:CreativeWork
242 https://app.dimensions.ai/details/publication/pub.1077151715 schema:CreativeWork
243 https://app.dimensions.ai/details/publication/pub.1082422079 schema:CreativeWork
244 https://doi.org/10.1016/j.rcl.2008.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049617355
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1056/nejm199309303291402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013554742
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1056/nejmoa012914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040112680
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1080/028418600750013393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043849517
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1080/10245330701393840 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058358226
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1080/10428190701559140 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048223493
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1093/annonc/mdi200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041182798
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1093/annonc/mdi271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042236323
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1093/annonc/mdi272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032993125
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1097/01.mnm.0000171781.11027.bb schema:sameAs https://app.dimensions.ai/details/publication/pub.1040004914
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1182/blood-2005-01-0272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005883285
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1182/blood-2005-06-2252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046000498
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1182/blood-2006-08-038257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036676724
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1200/jco.1986.4.2.160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078807170
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1200/jco.1988.6.12.1832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079608137
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1200/jco.1988.6.6.931 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079709964
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1200/jco.1989.7.8.1018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078897228
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1200/jco.1999.17.4.1244 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074549729
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1200/jco.2001.19.2.414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074768327
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1200/jco.2005.12.072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024927204
283 rdf:type schema:CreativeWork
284 https://doi.org/10.3109/10428190009113384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048942643
285 rdf:type schema:CreativeWork
286 https://doi.org/10.3816/clm.2002.n.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034241586
287 rdf:type schema:CreativeWork
288 https://www.grid.ac/institutes/grid.411602.0 schema:alternateName Chonnam National University Hwasun Hospital
289 schema:name Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 160 Ilsim-ri, Hwasun-eup, 519-809, Hwasun-gun, Jeollanam-do, Republic of Korea
290 rdf:type schema:Organization
291 https://www.grid.ac/institutes/grid.452901.b schema:alternateName Ministry of Education
292 schema:name Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 160 Ilsim-ri, Hwasun-eup, 519-809, Hwasun-gun, Jeollanam-do, Republic of Korea
293 Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Hwasun, Jeollanam-do, Republic of Korea
294 Department of Radiology, Chonnam National University Hwasun Hospital, Hwasun, Jeollanam-do, Republic of Korea
295 The Brain Korea 21 Project, Center for Biomedical Human Resources at Chonnam National University, Gwangju, Republic of Korea
296 rdf:type schema:Organization
 




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


...