Texture analysis of advanced non-small cell lung cancer (NSCLC) on contrast-enhanced computed tomography: prediction of the response to the first-line ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-12

AUTHORS

Marco Ravanelli, Davide Farina, Mauro Morassi, Elisa Roca, Giuseppe Cavalleri, Gianfranco Tassi, Roberto Maroldi

ABSTRACT

OBJECTIVES: To assess whether tumour heterogeneity, quantified by texture analysis (TA) on contrast-enhanced computed tomography (CECT), can predict response to chemotherapy in advanced non-small cell lung cancer (NSCLC). METHODS: Fifty-three CECT studies of patients with advanced NSCLC who had undergone first-line chemotherapy were retrospectively reviewed. Response to chemotherapy was evaluated according to RECIST1.1. Tumour uniformity was assessed by a TA method based on Laplacian of Gaussian filtering. The resulting parameters were correlated with treatment response and overall survival by multivariate analysis. RESULTS: Thirty-one out of 53 patients were non-responders and 22 were responders. Average overall survival was 13 months (4-35), minimum follow-up was 12 months. In the adenocarcinoma group (n = 31), the product of tumour uniformity and grey level (GL*U) was the unique independent variable correlating with treatment response. Dividing the GL*U (range 8.5-46.6) into tertiles, lesions belonging to the second and the third tertiles had an 8.3-fold higher probability of treatment response compared with those in the first tertile. No association between texture features and response to treatment was observed in the non-adenocarcinoma group (n = 22). GL*U did not correlate with overall survival. CONCLUSIONS: TA on CECT images in advanced lung adenocarcinoma provides an independent predictive indicator of response to first-line chemotherapy. More... »

PAGES

3450-3455

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-013-2965-0

DOI

http://dx.doi.org/10.1007/s00330-013-2965-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030276284

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23835926


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": "Adenocarcinoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adenocarcinoma of Lung", 
        "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": "Antineoplastic Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Non-Small-Cell Lung", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cisplatin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Contrast Media", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "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": "Multivariate Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Observer Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiographic Image Enhancement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Remission Induction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Rate", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Brescia", 
          "id": "https://www.grid.ac/institutes/grid.7637.5", 
          "name": [
            "Department of Radiology, University of Brescia, Brescia, Italy", 
            "Piazzale Spedali Civili 1, 25123, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ravanelli", 
        "givenName": "Marco", 
        "id": "sg:person.01162166434.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162166434.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Brescia", 
          "id": "https://www.grid.ac/institutes/grid.7637.5", 
          "name": [
            "Department of Radiology, University of Brescia, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Farina", 
        "givenName": "Davide", 
        "id": "sg:person.01072541464.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072541464.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Brescia", 
          "id": "https://www.grid.ac/institutes/grid.7637.5", 
          "name": [
            "Department of Radiology, University of Brescia, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morassi", 
        "givenName": "Mauro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Brescia", 
          "id": "https://www.grid.ac/institutes/grid.7637.5", 
          "name": [
            "Department of Pneumology, University of Brescia, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roca", 
        "givenName": "Elisa", 
        "id": "sg:person.07535067605.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07535067605.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Brescia", 
          "id": "https://www.grid.ac/institutes/grid.7637.5", 
          "name": [
            "Department of Electronic Engineering, University of Brescia, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cavalleri", 
        "givenName": "Giuseppe", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Brescia", 
          "id": "https://www.grid.ac/institutes/grid.7637.5", 
          "name": [
            "Department of Pneumology, University of Brescia, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tassi", 
        "givenName": "Gianfranco", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Brescia", 
          "id": "https://www.grid.ac/institutes/grid.7637.5", 
          "name": [
            "Department of Radiology, University of Brescia, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maroldi", 
        "givenName": "Roberto", 
        "id": "sg:person.01210206110.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210206110.38"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1148/radiol.2502071879", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000029037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.lungcan.2007.10.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003461987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.10730", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008288403"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-011-2319-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010883759", 
          "https://doi.org/10.1007/s00330-011-2319-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-011-2319-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010883759", 
          "https://doi.org/10.1007/s00330-011-2319-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/thx.2003.020164", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012804324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/thx.2003.020164", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012804324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2331031535", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019838493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.12111505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024093091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4103/0019-509x.62998", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025159690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejca.2008.10.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026558254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00280-006-0224-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036159909", 
          "https://doi.org/10.1007/s00280-006-0224-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00280-006-0224-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036159909", 
          "https://doi.org/10.1007/s00280-006-0224-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.drup.2010.10.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036240226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.crad.2011.08.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036334226"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2004.08.176", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039924267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2012.10.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045809942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.12112428", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047949588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1259/bjr/15334380", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064568065"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12", 
    "datePublishedReg": "2013-12-01", 
    "description": "OBJECTIVES: To assess whether tumour heterogeneity, quantified by texture analysis (TA) on contrast-enhanced computed tomography (CECT), can predict response to chemotherapy in advanced non-small cell lung cancer (NSCLC).\nMETHODS: Fifty-three CECT studies of patients with advanced NSCLC who had undergone first-line chemotherapy were retrospectively reviewed. Response to chemotherapy was evaluated according to RECIST1.1. Tumour uniformity was assessed by a TA method based on Laplacian of Gaussian filtering. The resulting parameters were correlated with treatment response and overall survival by multivariate analysis.\nRESULTS: Thirty-one out of 53 patients were non-responders and 22 were responders. Average overall survival was 13 months (4-35), minimum follow-up was 12 months. In the adenocarcinoma group (n\u2009=\u200931), the product of tumour uniformity and grey level (GL*U) was the unique independent variable correlating with treatment response. Dividing the GL*U (range 8.5-46.6) into tertiles, lesions belonging to the second and the third tertiles had an 8.3-fold higher probability of treatment response compared with those in the first tertile. No association between texture features and response to treatment was observed in the non-adenocarcinoma group (n\u2009=\u200922). GL*U did not correlate with overall survival.\nCONCLUSIONS: TA on CECT images in advanced lung adenocarcinoma provides an independent predictive indicator of response to first-line chemotherapy.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-013-2965-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "name": "Texture analysis of advanced non-small cell lung cancer (NSCLC) on contrast-enhanced computed tomography: prediction of the response to the first-line chemotherapy", 
    "pagination": "3450-3455", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "903b30290bcd5a432bca7fa9f1d48d4f33a30e67141ddd987e105793e2928459"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23835926"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-013-2965-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030276284"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-013-2965-0", 
      "https://app.dimensions.ai/details/publication/pub.1030276284"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:34", 
    "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/v90/0000000346_0000000346/records_99815_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00330-013-2965-0"
  }
]
 

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/s00330-013-2965-0'

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/s00330-013-2965-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-013-2965-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-013-2965-0'


 

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

257 TRIPLES      21 PREDICATES      69 URIs      45 LITERALS      33 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-013-2965-0 schema:about N122f57ef712c4227978ebf928e625f6f
2 N168033724bf445e6a9eee69802699cd6
3 N24b74a1427bd4f8ab7ecb73db10d0781
4 N2aed4fa1f51b4c8d90020742c080aa2a
5 N45e796bcbd9145bbbe46a88c7807d6f4
6 N472262fd3c8647019550a6e05c57c2b7
7 N90d257433e0e4150b70ce62a8962dbd4
8 N91da72b5cdb24cd4b95020ba8333cecc
9 N9223979bae5e47848bd62cefc8105294
10 Na5cbaaa6e00f460cb34ca31a03da6573
11 Na625aef3bfde4f32a0241233e2b21793
12 Na924b72af1d6444e84cb91286ff92248
13 Nabe9a830c3b74afbb6c36cd9731d5075
14 Nad427a06e3ce4cea998652d25afe67ab
15 Naeab33c7b60e4febbcd387d924402e9a
16 Nb7886aaf11a141d1b2376fd273bd3a1a
17 Nc1ce5245a24e4a78981436cdfd3df65e
18 Nc517b46b649e4a158190ba3f1143006e
19 Ndab79d3cbfd94208afd90e3510fb130d
20 Nf0c5e6e831764bf59a3a578ebaf9a0e0
21 Nf692074d9dcf439aa4a686d3c3deeee3
22 Nf79e99edec1f45f29611056825b92142
23 Nfa12957ea1ca4638b08f6f50c24271e4
24 Nfc5b685796a64d7f8b05e50f9d11d419
25 anzsrc-for:11
26 anzsrc-for:1112
27 schema:author N68449bd1bc904579b00032fc7b6cd131
28 schema:citation sg:pub.10.1007/s00280-006-0224-7
29 sg:pub.10.1007/s00330-011-2319-8
30 https://doi.org/10.1002/cncr.10730
31 https://doi.org/10.1016/j.crad.2011.08.012
32 https://doi.org/10.1016/j.drup.2010.10.001
33 https://doi.org/10.1016/j.ejca.2008.10.026
34 https://doi.org/10.1016/j.ejrad.2012.10.023
35 https://doi.org/10.1016/j.lungcan.2007.10.021
36 https://doi.org/10.1136/thx.2003.020164
37 https://doi.org/10.1148/radiol.12111505
38 https://doi.org/10.1148/radiol.12112428
39 https://doi.org/10.1148/radiol.2331031535
40 https://doi.org/10.1148/radiol.2502071879
41 https://doi.org/10.1200/jco.2004.08.176
42 https://doi.org/10.1259/bjr/15334380
43 https://doi.org/10.4103/0019-509x.62998
44 schema:datePublished 2013-12
45 schema:datePublishedReg 2013-12-01
46 schema:description OBJECTIVES: To assess whether tumour heterogeneity, quantified by texture analysis (TA) on contrast-enhanced computed tomography (CECT), can predict response to chemotherapy in advanced non-small cell lung cancer (NSCLC). METHODS: Fifty-three CECT studies of patients with advanced NSCLC who had undergone first-line chemotherapy were retrospectively reviewed. Response to chemotherapy was evaluated according to RECIST1.1. Tumour uniformity was assessed by a TA method based on Laplacian of Gaussian filtering. The resulting parameters were correlated with treatment response and overall survival by multivariate analysis. RESULTS: Thirty-one out of 53 patients were non-responders and 22 were responders. Average overall survival was 13 months (4-35), minimum follow-up was 12 months. In the adenocarcinoma group (n = 31), the product of tumour uniformity and grey level (GL*U) was the unique independent variable correlating with treatment response. Dividing the GL*U (range 8.5-46.6) into tertiles, lesions belonging to the second and the third tertiles had an 8.3-fold higher probability of treatment response compared with those in the first tertile. No association between texture features and response to treatment was observed in the non-adenocarcinoma group (n = 22). GL*U did not correlate with overall survival. CONCLUSIONS: TA on CECT images in advanced lung adenocarcinoma provides an independent predictive indicator of response to first-line chemotherapy.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree false
50 schema:isPartOf N70b5c2f340704c6894c1256185045619
51 N718e5cf8e19040bbbe866278b4662b02
52 sg:journal.1289120
53 schema:name Texture analysis of advanced non-small cell lung cancer (NSCLC) on contrast-enhanced computed tomography: prediction of the response to the first-line chemotherapy
54 schema:pagination 3450-3455
55 schema:productId N4134d2d1be2a42bf880497c372fa23cf
56 N69e263cacc4f45d1a3c300cfc4544f3c
57 N69ff2f95b7824b779e27a207c22a6ab1
58 Nc787e7c0bc994e84ad2ef528757975d8
59 Nd015390616be41cba6a4d5191e5686b0
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030276284
61 https://doi.org/10.1007/s00330-013-2965-0
62 schema:sdDatePublished 2019-04-11T09:34
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher Nc73c9cca03b94db9923f7474c9de7c67
65 schema:url http://link.springer.com/10.1007%2Fs00330-013-2965-0
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N00ae12f3ff284cfa847ddbda0dd34b6c rdf:first sg:person.01210206110.38
70 rdf:rest rdf:nil
71 N10fff5c3786b48ffb5a90c8f38b44fb5 rdf:first sg:person.07535067605.01
72 rdf:rest Nbeec9469859946be8c5d1381451ab75a
73 N122f57ef712c4227978ebf928e625f6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Observer Variation
75 rdf:type schema:DefinedTerm
76 N168033724bf445e6a9eee69802699cd6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Cisplatin
78 rdf:type schema:DefinedTerm
79 N24b74a1427bd4f8ab7ecb73db10d0781 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Follow-Up Studies
81 rdf:type schema:DefinedTerm
82 N25709d2bebe34384acd4113b20098505 schema:affiliation https://www.grid.ac/institutes/grid.7637.5
83 schema:familyName Cavalleri
84 schema:givenName Giuseppe
85 rdf:type schema:Person
86 N2aed4fa1f51b4c8d90020742c080aa2a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Adult
88 rdf:type schema:DefinedTerm
89 N34cec54193004f8396a3fa1d8dff5af3 schema:affiliation https://www.grid.ac/institutes/grid.7637.5
90 schema:familyName Tassi
91 schema:givenName Gianfranco
92 rdf:type schema:Person
93 N4134d2d1be2a42bf880497c372fa23cf schema:name doi
94 schema:value 10.1007/s00330-013-2965-0
95 rdf:type schema:PropertyValue
96 N45e796bcbd9145bbbe46a88c7807d6f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Humans
98 rdf:type schema:DefinedTerm
99 N472262fd3c8647019550a6e05c57c2b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Male
101 rdf:type schema:DefinedTerm
102 N49896017c07b4aac9c1ead5ed5178aee rdf:first N34cec54193004f8396a3fa1d8dff5af3
103 rdf:rest N00ae12f3ff284cfa847ddbda0dd34b6c
104 N68449bd1bc904579b00032fc7b6cd131 rdf:first sg:person.01162166434.01
105 rdf:rest Ne8c1c3915c4c4e0c87792467da05d960
106 N69e263cacc4f45d1a3c300cfc4544f3c schema:name nlm_unique_id
107 schema:value 9114774
108 rdf:type schema:PropertyValue
109 N69ff2f95b7824b779e27a207c22a6ab1 schema:name readcube_id
110 schema:value 903b30290bcd5a432bca7fa9f1d48d4f33a30e67141ddd987e105793e2928459
111 rdf:type schema:PropertyValue
112 N70b5c2f340704c6894c1256185045619 schema:issueNumber 12
113 rdf:type schema:PublicationIssue
114 N718e5cf8e19040bbbe866278b4662b02 schema:volumeNumber 23
115 rdf:type schema:PublicationVolume
116 N90d257433e0e4150b70ce62a8962dbd4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Neoplasm Staging
118 rdf:type schema:DefinedTerm
119 N91da72b5cdb24cd4b95020ba8333cecc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Treatment Outcome
121 rdf:type schema:DefinedTerm
122 N9223979bae5e47848bd62cefc8105294 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Antineoplastic Agents
124 rdf:type schema:DefinedTerm
125 Na5cbaaa6e00f460cb34ca31a03da6573 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Predictive Value of Tests
127 rdf:type schema:DefinedTerm
128 Na625aef3bfde4f32a0241233e2b21793 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Contrast Media
130 rdf:type schema:DefinedTerm
131 Na924b72af1d6444e84cb91286ff92248 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Tomography, X-Ray Computed
133 rdf:type schema:DefinedTerm
134 Nabe9a830c3b74afbb6c36cd9731d5075 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Aged
136 rdf:type schema:DefinedTerm
137 Nad427a06e3ce4cea998652d25afe67ab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Adenocarcinoma of Lung
139 rdf:type schema:DefinedTerm
140 Naeab33c7b60e4febbcd387d924402e9a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Lung Neoplasms
142 rdf:type schema:DefinedTerm
143 Nb7886aaf11a141d1b2376fd273bd3a1a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Radiographic Image Enhancement
145 rdf:type schema:DefinedTerm
146 Nbeec9469859946be8c5d1381451ab75a rdf:first N25709d2bebe34384acd4113b20098505
147 rdf:rest N49896017c07b4aac9c1ead5ed5178aee
148 Nc1ce5245a24e4a78981436cdfd3df65e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Female
150 rdf:type schema:DefinedTerm
151 Nc517b46b649e4a158190ba3f1143006e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Remission Induction
153 rdf:type schema:DefinedTerm
154 Nc73c9cca03b94db9923f7474c9de7c67 schema:name Springer Nature - SN SciGraph project
155 rdf:type schema:Organization
156 Nc787e7c0bc994e84ad2ef528757975d8 schema:name dimensions_id
157 schema:value pub.1030276284
158 rdf:type schema:PropertyValue
159 Nd015390616be41cba6a4d5191e5686b0 schema:name pubmed_id
160 schema:value 23835926
161 rdf:type schema:PropertyValue
162 Ndab79d3cbfd94208afd90e3510fb130d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Survival Rate
164 rdf:type schema:DefinedTerm
165 Ne64256b6502c4807aba8ae6d15b36ded rdf:first Nec10a41ef9bb456c8e1c7ddd4723687b
166 rdf:rest N10fff5c3786b48ffb5a90c8f38b44fb5
167 Ne8c1c3915c4c4e0c87792467da05d960 rdf:first sg:person.01072541464.71
168 rdf:rest Ne64256b6502c4807aba8ae6d15b36ded
169 Nec10a41ef9bb456c8e1c7ddd4723687b schema:affiliation https://www.grid.ac/institutes/grid.7637.5
170 schema:familyName Morassi
171 schema:givenName Mauro
172 rdf:type schema:Person
173 Nf0c5e6e831764bf59a3a578ebaf9a0e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Middle Aged
175 rdf:type schema:DefinedTerm
176 Nf692074d9dcf439aa4a686d3c3deeee3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
177 schema:name Multivariate Analysis
178 rdf:type schema:DefinedTerm
179 Nf79e99edec1f45f29611056825b92142 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Adenocarcinoma
181 rdf:type schema:DefinedTerm
182 Nfa12957ea1ca4638b08f6f50c24271e4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Retrospective Studies
184 rdf:type schema:DefinedTerm
185 Nfc5b685796a64d7f8b05e50f9d11d419 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Carcinoma, Non-Small-Cell Lung
187 rdf:type schema:DefinedTerm
188 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
189 schema:name Medical and Health Sciences
190 rdf:type schema:DefinedTerm
191 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
192 schema:name Oncology and Carcinogenesis
193 rdf:type schema:DefinedTerm
194 sg:journal.1289120 schema:issn 0938-7994
195 1432-1084
196 schema:name European Radiology
197 rdf:type schema:Periodical
198 sg:person.01072541464.71 schema:affiliation https://www.grid.ac/institutes/grid.7637.5
199 schema:familyName Farina
200 schema:givenName Davide
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01072541464.71
202 rdf:type schema:Person
203 sg:person.01162166434.01 schema:affiliation https://www.grid.ac/institutes/grid.7637.5
204 schema:familyName Ravanelli
205 schema:givenName Marco
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162166434.01
207 rdf:type schema:Person
208 sg:person.01210206110.38 schema:affiliation https://www.grid.ac/institutes/grid.7637.5
209 schema:familyName Maroldi
210 schema:givenName Roberto
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01210206110.38
212 rdf:type schema:Person
213 sg:person.07535067605.01 schema:affiliation https://www.grid.ac/institutes/grid.7637.5
214 schema:familyName Roca
215 schema:givenName Elisa
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07535067605.01
217 rdf:type schema:Person
218 sg:pub.10.1007/s00280-006-0224-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036159909
219 https://doi.org/10.1007/s00280-006-0224-7
220 rdf:type schema:CreativeWork
221 sg:pub.10.1007/s00330-011-2319-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010883759
222 https://doi.org/10.1007/s00330-011-2319-8
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1002/cncr.10730 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008288403
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.crad.2011.08.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036334226
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.drup.2010.10.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036240226
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.ejca.2008.10.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026558254
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.ejrad.2012.10.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045809942
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.lungcan.2007.10.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003461987
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1136/thx.2003.020164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012804324
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1148/radiol.12111505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024093091
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1148/radiol.12112428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047949588
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1148/radiol.2331031535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019838493
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1148/radiol.2502071879 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000029037
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1200/jco.2004.08.176 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039924267
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1259/bjr/15334380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064568065
249 rdf:type schema:CreativeWork
250 https://doi.org/10.4103/0019-509x.62998 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025159690
251 rdf:type schema:CreativeWork
252 https://www.grid.ac/institutes/grid.7637.5 schema:alternateName University of Brescia
253 schema:name Department of Electronic Engineering, University of Brescia, Brescia, Italy
254 Department of Pneumology, University of Brescia, Brescia, Italy
255 Department of Radiology, University of Brescia, Brescia, Italy
256 Piazzale Spedali Civili 1, 25123, Brescia, Italy
257 rdf:type schema:Organization
 




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


...