Evolution of the subsolid pulmonary nodule: a retrospective study in patients with different neoplastic diseases in a nonscreening clinical context View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-12

AUTHORS

Domenico Attinà, Fabio Niro, Margherita Stellino, Federica Ciccarese, Giangaspare Mineo, Nicola Sverzellati, Maurizio Zompatori

ABSTRACT

PURPOSE: The aims of this study were to evaluate the high-resolution computed tomography (HRCT) features of subsolid pulmonary nodules (SSN) detected in cancer patients to differentiate between benign and malignant lesions, to assess their evolution during the follow-up, and to determine which neoplastic diseases are most frequently associated with the growth in size and/or density of SSN. MATERIALS AND METHODS: Ninety-seven patients with a total of 146 subsolid nodules [140 pure ground-glass opacities (pGGOs) and six mixed ground-glass opacities (mGGOs)] were retrospectively recruited. Two chest radiologists independently reviewed the HRCT features of the nodules (location, shape, size, density) and the patients' clinical characteristics (sex, age, smoking and cancer history). Mean duration of follow-up was more than 2 years. RESULTS: During follow-up, 58% of SSN remained stable, 10% disappeared. An increase in size and/or density was seen in 32% of SSN, and in particular in partly solid (mGGOs), large (≥10 mm) and irregular nodules. The majority of small-size (<5 mm) rounded SSN remained stable. SSN growth was more frequent in patients with advanced age and a history of smoking, and occurred even after a long period of stability (39% of pGGOs "changed" over 3 years). The neoplastic diseases most frequently associated with SSN growth were cancers of lung (34%), breast (15%), colon (15%) and bladder (10%). CONCLUSIONS: The observation of a sample of cancer patients has shown that SSN may frequently grow in size and/or density in these patients, especially if associated powith cancers of lung, breast, colon and bladder. As the majority of SSN showed a very slow development time, a follow-up period longer than 3 years is warranted even in cancer patients. More... »

PAGES

1269-1280

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11547-013-0926-y

DOI

http://dx.doi.org/10.1007/s11547-013-0926-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038818085

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23716282


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": "Diagnosis, Differential", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lung Neoplasms", 
        "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": "Radiographic Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiography, Thoracic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Solitary Pulmonary Nodule", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Policlinico S.Orsola-Malpighi", 
          "id": "https://www.grid.ac/institutes/grid.412311.4", 
          "name": [
            "Cardio-Thoracic Radiology Unit, Cardio-Thoracic-Vascular Department, University Hospital S. Orsola-Malpighi, Via Massarenti 9, 40128, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Attin\u00e0", 
        "givenName": "Domenico", 
        "id": "sg:person.01176203422.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176203422.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Policlinico S.Orsola-Malpighi", 
          "id": "https://www.grid.ac/institutes/grid.412311.4", 
          "name": [
            "Cardio-Thoracic Radiology Unit, Cardio-Thoracic-Vascular Department, University Hospital S. Orsola-Malpighi, Via Massarenti 9, 40128, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niro", 
        "givenName": "Fabio", 
        "id": "sg:person.0675356715.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675356715.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Policlinico S.Orsola-Malpighi", 
          "id": "https://www.grid.ac/institutes/grid.412311.4", 
          "name": [
            "Cardio-Thoracic Radiology Unit, Cardio-Thoracic-Vascular Department, University Hospital S. Orsola-Malpighi, Via Massarenti 9, 40128, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stellino", 
        "givenName": "Margherita", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Policlinico S.Orsola-Malpighi", 
          "id": "https://www.grid.ac/institutes/grid.412311.4", 
          "name": [
            "Cardio-Thoracic Radiology Unit, Cardio-Thoracic-Vascular Department, University Hospital S. Orsola-Malpighi, Via Massarenti 9, 40128, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ciccarese", 
        "givenName": "Federica", 
        "id": "sg:person.01360545222.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360545222.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Policlinico S.Orsola-Malpighi", 
          "id": "https://www.grid.ac/institutes/grid.412311.4", 
          "name": [
            "Cardio-Thoracic Radiology Unit, Cardio-Thoracic-Vascular Department, University Hospital S. Orsola-Malpighi, Via Massarenti 9, 40128, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mineo", 
        "givenName": "Giangaspare", 
        "id": "sg:person.0654030462.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654030462.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Parma", 
          "id": "https://www.grid.ac/institutes/grid.10383.39", 
          "name": [
            "Department of Clinical Sciences, Section of Radiological Sciences, University of Parma, Via Gramsci 14, 43100, Parma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sverzellati", 
        "givenName": "Nicola", 
        "id": "sg:person.0600054775.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600054775.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Policlinico S.Orsola-Malpighi", 
          "id": "https://www.grid.ac/institutes/grid.412311.4", 
          "name": [
            "Cardio-Thoracic Radiology Unit, Cardio-Thoracic-Vascular Department, University Hospital S. Orsola-Malpighi, Via Massarenti 9, 40128, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zompatori", 
        "givenName": "Maurizio", 
        "id": "sg:person.0612726400.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612726400.32"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ejrad.2009.09.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011414599"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-008-1188-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012821825", 
          "https://doi.org/10.1007/s00330-008-1188-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-008-1188-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012821825", 
          "https://doi.org/10.1007/s00330-008-1188-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2533090179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014441204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/jto.0b013e318206a221", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020132671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.07-2568", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021250258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2451061682", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021870139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1164/rccm.200901-0076oc", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023606455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.272065061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026829792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3348/kjr.2007.8.1.22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032624547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mcp.0b013e3281c9b107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035910242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mcp.0b013e3281c9b107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035910242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.athoracsur.2004.03.096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039314706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2462070712", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051379891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004728-199603000-00025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060188990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.09.3828", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069300619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.180.5.1801255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069325415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075063087", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082694240", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12", 
    "datePublishedReg": "2013-12-01", 
    "description": "PURPOSE: The aims of this study were to evaluate the high-resolution computed tomography (HRCT) features of subsolid pulmonary nodules (SSN) detected in cancer patients to differentiate between benign and malignant lesions, to assess their evolution during the follow-up, and to determine which neoplastic diseases are most frequently associated with the growth in size and/or density of SSN.\nMATERIALS AND METHODS: Ninety-seven patients with a total of 146 subsolid nodules [140 pure ground-glass opacities (pGGOs) and six mixed ground-glass opacities (mGGOs)] were retrospectively recruited. Two chest radiologists independently reviewed the HRCT features of the nodules (location, shape, size, density) and the patients' clinical characteristics (sex, age, smoking and cancer history). Mean duration of follow-up was more than 2 years.\nRESULTS: During follow-up, 58% of SSN remained stable, 10% disappeared. An increase in size and/or density was seen in 32% of SSN, and in particular in partly solid (mGGOs), large (\u226510 mm) and irregular nodules. The majority of small-size (<5 mm) rounded SSN remained stable. SSN growth was more frequent in patients with advanced age and a history of smoking, and occurred even after a long period of stability (39% of pGGOs \"changed\" over 3 years). The neoplastic diseases most frequently associated with SSN growth were cancers of lung (34%), breast (15%), colon (15%) and bladder (10%).\nCONCLUSIONS: The observation of a sample of cancer patients has shown that SSN may frequently grow in size and/or density in these patients, especially if associated powith cancers of lung, breast, colon and bladder. As the majority of SSN showed a very slow development time, a follow-up period longer than 3 years is warranted even in cancer patients.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11547-013-0926-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1357346", 
        "issn": [
          "0026-4962", 
          "1826-6983"
        ], 
        "name": "La radiologia medica", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "118"
      }
    ], 
    "name": "Evolution of the subsolid pulmonary nodule: a retrospective study in patients with different neoplastic diseases in a nonscreening clinical context", 
    "pagination": "1269-1280", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b8e9a6b9d11730cd45d574824b8ad44e73ff0ab77fc93fd8ff914e4ec15290e4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23716282"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0177625"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11547-013-0926-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038818085"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11547-013-0926-y", 
      "https://app.dimensions.ai/details/publication/pub.1038818085"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:11", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8678_00000523.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11547-013-0926-y"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11547-013-0926-y'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11547-013-0926-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11547-013-0926-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11547-013-0926-y'


 

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

227 TRIPLES      21 PREDICATES      62 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11547-013-0926-y schema:about N0ba2a70c41c0413bb64d126de58de925
2 N1dd7f587e8ae40f8aea53e61ea0e3bc9
3 N27aef34c6f5e486db0c06dc00e9f9735
4 N27e17c3b02384cf1a1eab19da83c59e3
5 N3c170013795c4f04bbdde78a829a99cf
6 N422d4ff972d84c918291e64bcbdbecbc
7 N5673faf28bec4a2aac18e31ccfbd2d13
8 N8a7c9a0aa62843909b9ccbebe2831c7f
9 N92cb979b74c1466185d0326b2d0fbcfe
10 N9925aff20b0d485cb8de59d3a8e958f1
11 Na0654feac08c4037bb244f717dabd97e
12 Na0ff09fae0904c71a7299cb0b12fc61c
13 Na42bfed7e8154321be4437b5fea23e7b
14 Nb48f60ed348342e58ac04dea44e62bfb
15 Nbded506452584bb39a5b8a1a586c4b35
16 Nc202f1a84c6146e180b2dab6f26cbfa9
17 anzsrc-for:11
18 anzsrc-for:1112
19 schema:author Ncbe9f4b9d760402da5c123356156035a
20 schema:citation sg:pub.10.1007/s00330-008-1188-2
21 https://app.dimensions.ai/details/publication/pub.1075063087
22 https://app.dimensions.ai/details/publication/pub.1082694240
23 https://doi.org/10.1016/j.athoracsur.2004.03.096
24 https://doi.org/10.1016/j.ejrad.2009.09.008
25 https://doi.org/10.1097/00004728-199603000-00025
26 https://doi.org/10.1097/jto.0b013e318206a221
27 https://doi.org/10.1097/mcp.0b013e3281c9b107
28 https://doi.org/10.1148/radiol.2451061682
29 https://doi.org/10.1148/radiol.2462070712
30 https://doi.org/10.1148/radiol.2533090179
31 https://doi.org/10.1148/rg.272065061
32 https://doi.org/10.1164/rccm.200901-0076oc
33 https://doi.org/10.1378/chest.07-2568
34 https://doi.org/10.2214/ajr.09.3828
35 https://doi.org/10.2214/ajr.180.5.1801255
36 https://doi.org/10.3348/kjr.2007.8.1.22
37 schema:datePublished 2013-12
38 schema:datePublishedReg 2013-12-01
39 schema:description PURPOSE: The aims of this study were to evaluate the high-resolution computed tomography (HRCT) features of subsolid pulmonary nodules (SSN) detected in cancer patients to differentiate between benign and malignant lesions, to assess their evolution during the follow-up, and to determine which neoplastic diseases are most frequently associated with the growth in size and/or density of SSN. MATERIALS AND METHODS: Ninety-seven patients with a total of 146 subsolid nodules [140 pure ground-glass opacities (pGGOs) and six mixed ground-glass opacities (mGGOs)] were retrospectively recruited. Two chest radiologists independently reviewed the HRCT features of the nodules (location, shape, size, density) and the patients' clinical characteristics (sex, age, smoking and cancer history). Mean duration of follow-up was more than 2 years. RESULTS: During follow-up, 58% of SSN remained stable, 10% disappeared. An increase in size and/or density was seen in 32% of SSN, and in particular in partly solid (mGGOs), large (≥10 mm) and irregular nodules. The majority of small-size (<5 mm) rounded SSN remained stable. SSN growth was more frequent in patients with advanced age and a history of smoking, and occurred even after a long period of stability (39% of pGGOs "changed" over 3 years). The neoplastic diseases most frequently associated with SSN growth were cancers of lung (34%), breast (15%), colon (15%) and bladder (10%). CONCLUSIONS: The observation of a sample of cancer patients has shown that SSN may frequently grow in size and/or density in these patients, especially if associated powith cancers of lung, breast, colon and bladder. As the majority of SSN showed a very slow development time, a follow-up period longer than 3 years is warranted even in cancer patients.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N7a834ca25e6a43839b28b6cd0c2999da
44 Nb0b0a5950ae9426eb5aa354927d58704
45 sg:journal.1357346
46 schema:name Evolution of the subsolid pulmonary nodule: a retrospective study in patients with different neoplastic diseases in a nonscreening clinical context
47 schema:pagination 1269-1280
48 schema:productId N1223e7dd2b864ae88cd307acfdb9ff4a
49 N319de560e73b4cfa828faa7dd32e4967
50 N4314a29c014941bca841e170356bb101
51 N8cba88ef0b1246b69f5bd42f8cd07e62
52 Nfd75ebefc07c4168b8b5738f4486e5ad
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038818085
54 https://doi.org/10.1007/s11547-013-0926-y
55 schema:sdDatePublished 2019-04-10T19:11
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher Nddb63dc2124c4fc7896b23f3ab52ca52
58 schema:url http://link.springer.com/10.1007%2Fs11547-013-0926-y
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N066eef1e180340dea5fa0d647c49e770 schema:affiliation https://www.grid.ac/institutes/grid.412311.4
63 schema:familyName Stellino
64 schema:givenName Margherita
65 rdf:type schema:Person
66 N0ba2a70c41c0413bb64d126de58de925 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Middle Aged
68 rdf:type schema:DefinedTerm
69 N1223e7dd2b864ae88cd307acfdb9ff4a schema:name doi
70 schema:value 10.1007/s11547-013-0926-y
71 rdf:type schema:PropertyValue
72 N173e6fdeb8144688aaebb3ad914aa486 rdf:first sg:person.0654030462.11
73 rdf:rest N32dc5f119ad743b38314d0cbcce39d4c
74 N1dd7f587e8ae40f8aea53e61ea0e3bc9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Diagnosis, Differential
76 rdf:type schema:DefinedTerm
77 N27aef34c6f5e486db0c06dc00e9f9735 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Radiography, Thoracic
79 rdf:type schema:DefinedTerm
80 N27e17c3b02384cf1a1eab19da83c59e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Lung Neoplasms
82 rdf:type schema:DefinedTerm
83 N319de560e73b4cfa828faa7dd32e4967 schema:name nlm_unique_id
84 schema:value 0177625
85 rdf:type schema:PropertyValue
86 N32dc5f119ad743b38314d0cbcce39d4c rdf:first sg:person.0600054775.31
87 rdf:rest N988a7f17377e46e2b04dc80dee8ead3f
88 N343a9873e65d48208c2bb7f0e033c17b rdf:first sg:person.01360545222.68
89 rdf:rest N173e6fdeb8144688aaebb3ad914aa486
90 N3c170013795c4f04bbdde78a829a99cf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Male
92 rdf:type schema:DefinedTerm
93 N422d4ff972d84c918291e64bcbdbecbc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Adult
95 rdf:type schema:DefinedTerm
96 N4314a29c014941bca841e170356bb101 schema:name pubmed_id
97 schema:value 23716282
98 rdf:type schema:PropertyValue
99 N5673faf28bec4a2aac18e31ccfbd2d13 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Tomography, X-Ray Computed
101 rdf:type schema:DefinedTerm
102 N685f991915734345b6cacba5bf4234e8 rdf:first N066eef1e180340dea5fa0d647c49e770
103 rdf:rest N343a9873e65d48208c2bb7f0e033c17b
104 N7a834ca25e6a43839b28b6cd0c2999da schema:volumeNumber 118
105 rdf:type schema:PublicationVolume
106 N8a7c9a0aa62843909b9ccbebe2831c7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Radiographic Image Interpretation, Computer-Assisted
108 rdf:type schema:DefinedTerm
109 N8cba88ef0b1246b69f5bd42f8cd07e62 schema:name readcube_id
110 schema:value b8e9a6b9d11730cd45d574824b8ad44e73ff0ab77fc93fd8ff914e4ec15290e4
111 rdf:type schema:PropertyValue
112 N92cb979b74c1466185d0326b2d0fbcfe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Risk Factors
114 rdf:type schema:DefinedTerm
115 N988a7f17377e46e2b04dc80dee8ead3f rdf:first sg:person.0612726400.32
116 rdf:rest rdf:nil
117 N9925aff20b0d485cb8de59d3a8e958f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Solitary Pulmonary Nodule
119 rdf:type schema:DefinedTerm
120 N9dde983da63f4239bd6b14df9085ac2a rdf:first sg:person.0675356715.13
121 rdf:rest N685f991915734345b6cacba5bf4234e8
122 Na0654feac08c4037bb244f717dabd97e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Aged, 80 and over
124 rdf:type schema:DefinedTerm
125 Na0ff09fae0904c71a7299cb0b12fc61c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Retrospective Studies
127 rdf:type schema:DefinedTerm
128 Na42bfed7e8154321be4437b5fea23e7b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Aged
130 rdf:type schema:DefinedTerm
131 Nb0b0a5950ae9426eb5aa354927d58704 schema:issueNumber 8
132 rdf:type schema:PublicationIssue
133 Nb48f60ed348342e58ac04dea44e62bfb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Female
135 rdf:type schema:DefinedTerm
136 Nbded506452584bb39a5b8a1a586c4b35 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Adolescent
138 rdf:type schema:DefinedTerm
139 Nc202f1a84c6146e180b2dab6f26cbfa9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Humans
141 rdf:type schema:DefinedTerm
142 Ncbe9f4b9d760402da5c123356156035a rdf:first sg:person.01176203422.37
143 rdf:rest N9dde983da63f4239bd6b14df9085ac2a
144 Nddb63dc2124c4fc7896b23f3ab52ca52 schema:name Springer Nature - SN SciGraph project
145 rdf:type schema:Organization
146 Nfd75ebefc07c4168b8b5738f4486e5ad schema:name dimensions_id
147 schema:value pub.1038818085
148 rdf:type schema:PropertyValue
149 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
150 schema:name Medical and Health Sciences
151 rdf:type schema:DefinedTerm
152 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
153 schema:name Oncology and Carcinogenesis
154 rdf:type schema:DefinedTerm
155 sg:journal.1357346 schema:issn 0026-4962
156 1826-6983
157 schema:name La radiologia medica
158 rdf:type schema:Periodical
159 sg:person.01176203422.37 schema:affiliation https://www.grid.ac/institutes/grid.412311.4
160 schema:familyName Attinà
161 schema:givenName Domenico
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176203422.37
163 rdf:type schema:Person
164 sg:person.01360545222.68 schema:affiliation https://www.grid.ac/institutes/grid.412311.4
165 schema:familyName Ciccarese
166 schema:givenName Federica
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360545222.68
168 rdf:type schema:Person
169 sg:person.0600054775.31 schema:affiliation https://www.grid.ac/institutes/grid.10383.39
170 schema:familyName Sverzellati
171 schema:givenName Nicola
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600054775.31
173 rdf:type schema:Person
174 sg:person.0612726400.32 schema:affiliation https://www.grid.ac/institutes/grid.412311.4
175 schema:familyName Zompatori
176 schema:givenName Maurizio
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612726400.32
178 rdf:type schema:Person
179 sg:person.0654030462.11 schema:affiliation https://www.grid.ac/institutes/grid.412311.4
180 schema:familyName Mineo
181 schema:givenName Giangaspare
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654030462.11
183 rdf:type schema:Person
184 sg:person.0675356715.13 schema:affiliation https://www.grid.ac/institutes/grid.412311.4
185 schema:familyName Niro
186 schema:givenName Fabio
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675356715.13
188 rdf:type schema:Person
189 sg:pub.10.1007/s00330-008-1188-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012821825
190 https://doi.org/10.1007/s00330-008-1188-2
191 rdf:type schema:CreativeWork
192 https://app.dimensions.ai/details/publication/pub.1075063087 schema:CreativeWork
193 https://app.dimensions.ai/details/publication/pub.1082694240 schema:CreativeWork
194 https://doi.org/10.1016/j.athoracsur.2004.03.096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039314706
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.ejrad.2009.09.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011414599
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1097/00004728-199603000-00025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060188990
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1097/jto.0b013e318206a221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020132671
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1097/mcp.0b013e3281c9b107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035910242
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1148/radiol.2451061682 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021870139
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1148/radiol.2462070712 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051379891
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1148/radiol.2533090179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014441204
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1148/rg.272065061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026829792
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1164/rccm.200901-0076oc schema:sameAs https://app.dimensions.ai/details/publication/pub.1023606455
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1378/chest.07-2568 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021250258
215 rdf:type schema:CreativeWork
216 https://doi.org/10.2214/ajr.09.3828 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069300619
217 rdf:type schema:CreativeWork
218 https://doi.org/10.2214/ajr.180.5.1801255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069325415
219 rdf:type schema:CreativeWork
220 https://doi.org/10.3348/kjr.2007.8.1.22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032624547
221 rdf:type schema:CreativeWork
222 https://www.grid.ac/institutes/grid.10383.39 schema:alternateName University of Parma
223 schema:name Department of Clinical Sciences, Section of Radiological Sciences, University of Parma, Via Gramsci 14, 43100, Parma, Italy
224 rdf:type schema:Organization
225 https://www.grid.ac/institutes/grid.412311.4 schema:alternateName Policlinico S.Orsola-Malpighi
226 schema:name Cardio-Thoracic Radiology Unit, Cardio-Thoracic-Vascular Department, University Hospital S. Orsola-Malpighi, Via Massarenti 9, 40128, Bologna, Italy
227 rdf:type schema:Organization
 




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


...