Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-02

AUTHORS

Hamid Bayanati, Rebecca E. Thornhill, Carolina A. Souza, Vineeta Sethi-Virmani, Ashish Gupta, Donna Maziak, Kayvan Amjadi, Carole Dennie

ABSTRACT

OBJECTIVE: To assess the accuracy of CT texture and shape analysis in the differentiation of benign and malignant mediastinal nodes in lung cancer. METHODS: Forty-three patients with biopsy-proven primary lung malignancy with pathological mediastinal nodal staging and unenhanced CT of the thorax were studied retrospectively. Grey-level co-occurrence and run-length matrix textural features, as well as morphological features, were extracted from 72 nodes. Differences between benign and malignant features were assessed using Mann-Whitney U tests. Receiver operating characteristic (ROC) curves for each were constructed and the area under the curve (AUC) calculated with histopathology diagnosis as outcome. Combinations of features were also entered as predictors in logistic regression models and optimal threshold criteria were used to estimate sensitivity and specificity. RESULTS: Using optimum-threshold criteria, the combined textural and shape features identified malignant mediastinal nodes with 81% sensitivity and 80% specificity (AUC = 0.87, P < 0.0001). Using this combination, 84% malignant and 71% benign nodes were correctly classified. CONCLUSIONS: Quantitative CT texture and shape analysis has the potential to accurately differentiate malignant and benign mediastinal nodes in lung cancer. KEY POINTS: • Mediastinal nodal staging is crucial in the management of lung cancer • Mediastinal nodal metastasis affects prognosis and suitability for surgical treatment • Computed tomography (CT) is limited for mediastinal nodal staging • Texture analysis measures tissue heterogeneity not perceptible to human vision • CT texture analysis may accurately differentiate malignant and benign mediastinal nodes. More... »

PAGES

480-487

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-014-3420-6

DOI

http://dx.doi.org/10.1007/s00330-014-3420-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010879560

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25216770


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biopsy", 
        "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": "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": "Lymph Nodes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymphatic Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymphatic Metastasis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mediastinum", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "ROC Curve", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bayanati", 
        "givenName": "Hamid", 
        "id": "sg:person.0737205537.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737205537.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "E. Thornhill", 
        "givenName": "Rebecca", 
        "id": "sg:person.01002143636.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002143636.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Souza", 
        "givenName": "Carolina A.", 
        "id": "sg:person.0744067044.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744067044.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sethi-Virmani", 
        "givenName": "Vineeta", 
        "id": "sg:person.01241117200.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01241117200.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gupta", 
        "givenName": "Ashish", 
        "id": "sg:person.01060313046.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060313046.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Surgery \u2013 Division of Thoracic Surgery, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maziak", 
        "givenName": "Donna", 
        "id": "sg:person.01343632654.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343632654.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Respiratory Medicine, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Amjadi", 
        "givenName": "Kayvan", 
        "id": "sg:person.01255535617.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255535617.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dennie", 
        "givenName": "Carole", 
        "id": "sg:person.01165261315.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165261315.09"
        ], 
        "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/10.1378/chest.108.6.1617", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002571930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.11-1016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004058733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.09-2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006455685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.20429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008632572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.20429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008632572"
        ], 
        "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/10.1145/1961189.1961199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013637525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mri.2003.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018018059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.clinimag.2011.10.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020157091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0146-664x(75)80008-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027475370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-013-2965-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030276284", 
          "https://doi.org/10.1007/s00330-013-2965-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-013-2965-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030276284", 
          "https://doi.org/10.1007/s00330-013-2965-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2272011747", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033208601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13244-012-0196-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036528660", 
          "https://doi.org/10.1007/s13244-012-0196-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a2061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036982442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1102/1470-7330.2013.0033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037737222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.213.2.r99nv13407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037827740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0730-725x(03)00212-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040295813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.12120254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042743379"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10585-008-9182-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045451787", 
          "https://doi.org/10.1007/s10585-008-9182-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10585-008-9182-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045451787", 
          "https://doi.org/10.1007/s10585-008-9182-2"
        ], 
        "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/10.1148/radiology.213.2.r99nv49317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050632265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.117.3.773", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052399466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.117.3.773", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052399466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/34.75512", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061156933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tsmc.1973.4309314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061792707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.182.2.1732943", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077378437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.178.3.1847239", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077647360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.143.1.7063747", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082130998"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-02", 
    "datePublishedReg": "2015-02-01", 
    "description": "OBJECTIVE: To assess the accuracy of CT texture and shape analysis in the differentiation of benign and malignant mediastinal nodes in lung cancer.\nMETHODS: Forty-three patients with biopsy-proven primary lung malignancy with pathological mediastinal nodal staging and unenhanced CT of the thorax were studied retrospectively. Grey-level co-occurrence and run-length matrix textural features, as well as morphological features, were extracted from 72 nodes. Differences between benign and malignant features were assessed using Mann-Whitney U tests. Receiver operating characteristic (ROC) curves for each were constructed and the area under the curve (AUC) calculated with histopathology diagnosis as outcome. Combinations of features were also entered as predictors in logistic regression models and optimal threshold criteria were used to estimate sensitivity and specificity.\nRESULTS: Using optimum-threshold criteria, the combined textural and shape features identified malignant mediastinal nodes with 81% sensitivity and 80% specificity (AUC\u2009=\u20090.87, P\u2009<\u20090.0001). Using this combination, 84% malignant and 71% benign nodes were correctly classified.\nCONCLUSIONS: Quantitative CT texture and shape analysis has the potential to accurately differentiate malignant and benign mediastinal nodes in lung cancer.\nKEY POINTS: \u2022 Mediastinal nodal staging is crucial in the management of lung cancer \u2022 Mediastinal nodal metastasis affects prognosis and suitability for surgical treatment \u2022 Computed tomography (CT) is limited for mediastinal nodal staging \u2022 Texture analysis measures tissue heterogeneity not perceptible to human vision \u2022 CT texture analysis may accurately differentiate malignant and benign mediastinal nodes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-014-3420-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "name": "Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?", 
    "pagination": "480-487", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "33d53eb1144cf2b671ac838b63e44b773d73e2c64ebcde67f7cdd07a7cdda9f7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25216770"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-014-3420-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1010879560"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-014-3420-6", 
      "https://app.dimensions.ai/details/publication/pub.1010879560"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:51", 
    "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_8664_00000511.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00330-014-3420-6"
  }
]
 

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/s00330-014-3420-6'

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/s00330-014-3420-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-014-3420-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-014-3420-6'


 

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

292 TRIPLES      21 PREDICATES      75 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-014-3420-6 schema:about N002397b08a5a42e7be11c78e9e0470ed
2 N15160e0c4ac44297ba319ecb9cc62f5d
3 N3adaf33c6530492c9042bd7f9222567e
4 N5aff127c7ced43d58f071ed4e24b91fa
5 N60a2de17641c4f9abf83121bcd04cce9
6 N676bd2a34b98493bb374f7c5fdc40920
7 N7070412a99c940e7b9cc046e4f6517d1
8 N74717a2a1d6d4b3db64cc8d4317b9570
9 N75194537c8554fb8b7e45250b18214a5
10 N7b3d9a173406485fa49bb4820e8ccbb7
11 N89dc3e173c2441479f9d1fa189cb5f02
12 N96e6861ad4214ff6a21a4cdef65e3e8e
13 Na7af4b09824c49a0a5ac4ce963362893
14 Nb52e986db4a7462a96e363d2ad01b927
15 Nca4c4079ad174ab4ac7d37034ca6dc19
16 Ncd07417c91f044cc977610d63e4e9c95
17 Ne49eb444a6d84f06b01a47fffeff4590
18 Nf31a7080726c45969da34deced9cc523
19 Nf9f349c1b5934fdb8b8da2b86208ec9f
20 anzsrc-for:11
21 anzsrc-for:1112
22 schema:author N604a69cd742e4886997b925ba081887a
23 schema:citation sg:pub.10.1007/s00330-011-2319-8
24 sg:pub.10.1007/s00330-013-2965-0
25 sg:pub.10.1007/s10585-008-9182-2
26 sg:pub.10.1007/s13244-012-0196-6
27 https://doi.org/10.1002/jmri.20429
28 https://doi.org/10.1016/j.clinimag.2011.10.018
29 https://doi.org/10.1016/j.mri.2003.09.001
30 https://doi.org/10.1016/s0146-664x(75)80008-6
31 https://doi.org/10.1016/s0730-725x(03)00212-1
32 https://doi.org/10.1102/1470-7330.2013.0033
33 https://doi.org/10.1109/34.75512
34 https://doi.org/10.1109/tsmc.1973.4309314
35 https://doi.org/10.1145/1961189.1961199
36 https://doi.org/10.1148/radiol.12112428
37 https://doi.org/10.1148/radiol.12120254
38 https://doi.org/10.1148/radiol.2272011747
39 https://doi.org/10.1148/radiol.2502071879
40 https://doi.org/10.1148/radiology.143.1.7063747
41 https://doi.org/10.1148/radiology.178.3.1847239
42 https://doi.org/10.1148/radiology.182.2.1732943
43 https://doi.org/10.1148/radiology.213.2.r99nv13407
44 https://doi.org/10.1148/radiology.213.2.r99nv49317
45 https://doi.org/10.1378/chest.09-2006
46 https://doi.org/10.1378/chest.108.6.1617
47 https://doi.org/10.1378/chest.11-1016
48 https://doi.org/10.1378/chest.117.3.773
49 https://doi.org/10.3174/ajnr.a2061
50 schema:datePublished 2015-02
51 schema:datePublishedReg 2015-02-01
52 schema:description OBJECTIVE: To assess the accuracy of CT texture and shape analysis in the differentiation of benign and malignant mediastinal nodes in lung cancer. METHODS: Forty-three patients with biopsy-proven primary lung malignancy with pathological mediastinal nodal staging and unenhanced CT of the thorax were studied retrospectively. Grey-level co-occurrence and run-length matrix textural features, as well as morphological features, were extracted from 72 nodes. Differences between benign and malignant features were assessed using Mann-Whitney U tests. Receiver operating characteristic (ROC) curves for each were constructed and the area under the curve (AUC) calculated with histopathology diagnosis as outcome. Combinations of features were also entered as predictors in logistic regression models and optimal threshold criteria were used to estimate sensitivity and specificity. RESULTS: Using optimum-threshold criteria, the combined textural and shape features identified malignant mediastinal nodes with 81% sensitivity and 80% specificity (AUC = 0.87, P < 0.0001). Using this combination, 84% malignant and 71% benign nodes were correctly classified. CONCLUSIONS: Quantitative CT texture and shape analysis has the potential to accurately differentiate malignant and benign mediastinal nodes in lung cancer. KEY POINTS: • Mediastinal nodal staging is crucial in the management of lung cancer • Mediastinal nodal metastasis affects prognosis and suitability for surgical treatment • Computed tomography (CT) is limited for mediastinal nodal staging • Texture analysis measures tissue heterogeneity not perceptible to human vision • CT texture analysis may accurately differentiate malignant and benign mediastinal nodes.
53 schema:genre research_article
54 schema:inLanguage en
55 schema:isAccessibleForFree false
56 schema:isPartOf N7b6e546a4cf84ee6ac15a4408b7bc0dd
57 Na866584caed241d9b13d999ed46c3e04
58 sg:journal.1289120
59 schema:name Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?
60 schema:pagination 480-487
61 schema:productId N517f98cce318402eb4f41ac6619f4264
62 N98df8f5faec54234ad14b5676b2f2620
63 Na2802c751be2452e8535c229b4757602
64 Nb008878906c1408bbcaf80354336b351
65 Nba48095831f649098fffa59d51dbe8b7
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010879560
67 https://doi.org/10.1007/s00330-014-3420-6
68 schema:sdDatePublished 2019-04-10T15:51
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher Nf093d412b5354fa5ad842a4e2e5bb3f2
71 schema:url http://link.springer.com/10.1007%2Fs00330-014-3420-6
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N002397b08a5a42e7be11c78e9e0470ed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Biopsy
77 rdf:type schema:DefinedTerm
78 N038a0b6d13e74ab6a25a2d36bfae6178 schema:name Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada
79 rdf:type schema:Organization
80 N15160e0c4ac44297ba319ecb9cc62f5d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Lung Neoplasms
82 rdf:type schema:DefinedTerm
83 N15b5451a11854fda8cb5a98e66b05d46 rdf:first sg:person.01165261315.09
84 rdf:rest rdf:nil
85 N16b354b1e04b461f8c6e00e5667e3f1e rdf:first sg:person.01343632654.85
86 rdf:rest N3c32a8264c434163a9415630e30b6364
87 N2e180791e3c8474e8506db16791eab03 schema:name Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada
88 rdf:type schema:Organization
89 N3adaf33c6530492c9042bd7f9222567e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Adult
91 rdf:type schema:DefinedTerm
92 N3c32a8264c434163a9415630e30b6364 rdf:first sg:person.01255535617.43
93 rdf:rest N15b5451a11854fda8cb5a98e66b05d46
94 N517f98cce318402eb4f41ac6619f4264 schema:name pubmed_id
95 schema:value 25216770
96 rdf:type schema:PropertyValue
97 N5aff127c7ced43d58f071ed4e24b91fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Diagnosis, Differential
99 rdf:type schema:DefinedTerm
100 N604a69cd742e4886997b925ba081887a rdf:first sg:person.0737205537.93
101 rdf:rest Nd5ae14d6810c4281848e76015c134aed
102 N60a2de17641c4f9abf83121bcd04cce9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Female
104 rdf:type schema:DefinedTerm
105 N676bd2a34b98493bb374f7c5fdc40920 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Retrospective Studies
107 rdf:type schema:DefinedTerm
108 N6b83c00e859c474abdaa80908320a5f4 rdf:first sg:person.0744067044.33
109 rdf:rest Nf19efe74d3b948e684f77ccb04da2805
110 N6b8686cbde2642038711a26c42115780 schema:name Department of Respiratory Medicine, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, ON, Canada
111 rdf:type schema:Organization
112 N7070412a99c940e7b9cc046e4f6517d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Lymphatic Diseases
114 rdf:type schema:DefinedTerm
115 N74717a2a1d6d4b3db64cc8d4317b9570 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Aged
117 rdf:type schema:DefinedTerm
118 N75194537c8554fb8b7e45250b18214a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Middle Aged
120 rdf:type schema:DefinedTerm
121 N7b3d9a173406485fa49bb4820e8ccbb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Male
123 rdf:type schema:DefinedTerm
124 N7b6e546a4cf84ee6ac15a4408b7bc0dd schema:issueNumber 2
125 rdf:type schema:PublicationIssue
126 N8725ec2f18a64039b922f197a7f2b482 schema:name Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada
127 rdf:type schema:Organization
128 N89dc3e173c2441479f9d1fa189cb5f02 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Neoplasm Staging
130 rdf:type schema:DefinedTerm
131 N96e6861ad4214ff6a21a4cdef65e3e8e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Humans
133 rdf:type schema:DefinedTerm
134 N98df8f5faec54234ad14b5676b2f2620 schema:name doi
135 schema:value 10.1007/s00330-014-3420-6
136 rdf:type schema:PropertyValue
137 Na2802c751be2452e8535c229b4757602 schema:name nlm_unique_id
138 schema:value 9114774
139 rdf:type schema:PropertyValue
140 Na59d8371ff764b0bba51c580096feaf7 schema:name Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada
141 rdf:type schema:Organization
142 Na7af4b09824c49a0a5ac4ce963362893 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Aged, 80 and over
144 rdf:type schema:DefinedTerm
145 Na866584caed241d9b13d999ed46c3e04 schema:volumeNumber 25
146 rdf:type schema:PublicationVolume
147 Nb008878906c1408bbcaf80354336b351 schema:name readcube_id
148 schema:value 33d53eb1144cf2b671ac838b63e44b773d73e2c64ebcde67f7cdd07a7cdda9f7
149 rdf:type schema:PropertyValue
150 Nb52e986db4a7462a96e363d2ad01b927 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Tomography, X-Ray Computed
152 rdf:type schema:DefinedTerm
153 Nba48095831f649098fffa59d51dbe8b7 schema:name dimensions_id
154 schema:value pub.1010879560
155 rdf:type schema:PropertyValue
156 Nbbb3720a35e245a8a4be6bf3cb57388d schema:name Department of Surgery – Division of Thoracic Surgery, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, ON, Canada
157 rdf:type schema:Organization
158 Nbcbb260fb8da4950a69f63122e316eb9 rdf:first sg:person.01060313046.19
159 rdf:rest N16b354b1e04b461f8c6e00e5667e3f1e
160 Nc55a75cf9152470c992f895323e7c7bb schema:name Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada
161 rdf:type schema:Organization
162 Nca4c4079ad174ab4ac7d37034ca6dc19 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Lymph Nodes
164 rdf:type schema:DefinedTerm
165 Ncd07417c91f044cc977610d63e4e9c95 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Follow-Up Studies
167 rdf:type schema:DefinedTerm
168 Nd5ae14d6810c4281848e76015c134aed rdf:first sg:person.01002143636.09
169 rdf:rest N6b83c00e859c474abdaa80908320a5f4
170 Nd664e46ae74f432a98192714aa3dc416 schema:name Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, The Ottawa Hospital Research Institute, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, ON, Canada
171 rdf:type schema:Organization
172 Ne49eb444a6d84f06b01a47fffeff4590 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name ROC Curve
174 rdf:type schema:DefinedTerm
175 Nf093d412b5354fa5ad842a4e2e5bb3f2 schema:name Springer Nature - SN SciGraph project
176 rdf:type schema:Organization
177 Nf19efe74d3b948e684f77ccb04da2805 rdf:first sg:person.01241117200.50
178 rdf:rest Nbcbb260fb8da4950a69f63122e316eb9
179 Nf31a7080726c45969da34deced9cc523 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Lymphatic Metastasis
181 rdf:type schema:DefinedTerm
182 Nf9f349c1b5934fdb8b8da2b86208ec9f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Mediastinum
184 rdf:type schema:DefinedTerm
185 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
186 schema:name Medical and Health Sciences
187 rdf:type schema:DefinedTerm
188 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
189 schema:name Oncology and Carcinogenesis
190 rdf:type schema:DefinedTerm
191 sg:journal.1289120 schema:issn 0938-7994
192 1432-1084
193 schema:name European Radiology
194 rdf:type schema:Periodical
195 sg:person.01002143636.09 schema:affiliation Nc55a75cf9152470c992f895323e7c7bb
196 schema:familyName E. Thornhill
197 schema:givenName Rebecca
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002143636.09
199 rdf:type schema:Person
200 sg:person.01060313046.19 schema:affiliation N2e180791e3c8474e8506db16791eab03
201 schema:familyName Gupta
202 schema:givenName Ashish
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060313046.19
204 rdf:type schema:Person
205 sg:person.01165261315.09 schema:affiliation Nd664e46ae74f432a98192714aa3dc416
206 schema:familyName Dennie
207 schema:givenName Carole
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165261315.09
209 rdf:type schema:Person
210 sg:person.01241117200.50 schema:affiliation N038a0b6d13e74ab6a25a2d36bfae6178
211 schema:familyName Sethi-Virmani
212 schema:givenName Vineeta
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01241117200.50
214 rdf:type schema:Person
215 sg:person.01255535617.43 schema:affiliation N6b8686cbde2642038711a26c42115780
216 schema:familyName Amjadi
217 schema:givenName Kayvan
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255535617.43
219 rdf:type schema:Person
220 sg:person.01343632654.85 schema:affiliation Nbbb3720a35e245a8a4be6bf3cb57388d
221 schema:familyName Maziak
222 schema:givenName Donna
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01343632654.85
224 rdf:type schema:Person
225 sg:person.0737205537.93 schema:affiliation N8725ec2f18a64039b922f197a7f2b482
226 schema:familyName Bayanati
227 schema:givenName Hamid
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737205537.93
229 rdf:type schema:Person
230 sg:person.0744067044.33 schema:affiliation Na59d8371ff764b0bba51c580096feaf7
231 schema:familyName Souza
232 schema:givenName Carolina A.
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744067044.33
234 rdf:type schema:Person
235 sg:pub.10.1007/s00330-011-2319-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010883759
236 https://doi.org/10.1007/s00330-011-2319-8
237 rdf:type schema:CreativeWork
238 sg:pub.10.1007/s00330-013-2965-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030276284
239 https://doi.org/10.1007/s00330-013-2965-0
240 rdf:type schema:CreativeWork
241 sg:pub.10.1007/s10585-008-9182-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045451787
242 https://doi.org/10.1007/s10585-008-9182-2
243 rdf:type schema:CreativeWork
244 sg:pub.10.1007/s13244-012-0196-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036528660
245 https://doi.org/10.1007/s13244-012-0196-6
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1002/jmri.20429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008632572
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/j.clinimag.2011.10.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020157091
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/j.mri.2003.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018018059
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/s0146-664x(75)80008-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027475370
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1016/s0730-725x(03)00212-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040295813
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1102/1470-7330.2013.0033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037737222
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1109/34.75512 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061156933
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1109/tsmc.1973.4309314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061792707
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1145/1961189.1961199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013637525
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1148/radiol.12112428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047949588
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1148/radiol.12120254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042743379
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1148/radiol.2272011747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033208601
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1148/radiol.2502071879 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000029037
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1148/radiology.143.1.7063747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082130998
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1148/radiology.178.3.1847239 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077647360
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1148/radiology.182.2.1732943 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077378437
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1148/radiology.213.2.r99nv13407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037827740
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1148/radiology.213.2.r99nv49317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050632265
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1378/chest.09-2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006455685
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1378/chest.108.6.1617 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002571930
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1378/chest.11-1016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004058733
288 rdf:type schema:CreativeWork
289 https://doi.org/10.1378/chest.117.3.773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052399466
290 rdf:type schema:CreativeWork
291 https://doi.org/10.3174/ajnr.a2061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036982442
292 rdf:type schema:CreativeWork
 




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


...