CT Radiomics in Thoracic Oncology: Technique and Clinical Applications View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-04

AUTHORS

Geewon Lee, So Hyeon Bak, Ho Yun Lee

ABSTRACT

Precision medicine offers better treatment options and improved survival for cancer patients based on individual variability. As the success of precision medicine depends on robust biomarkers, the requirement for improved imaging biomarkers that reflect tumor biology has grown exponentially. Radiomics, the field of study in which high-throughput data are generated and large amounts of advanced quantitative features are extracted from medical images, has shown great potential as a source of quantitative biomarkers in the field of oncology. Radiomics provides quantitative information about the morphology, texture, and intratumoral heterogeneity of the tumor itself as well as features related to pulmonary function. Hence, radiomics data can be used to build descriptive and predictive clinical models that relate imaging characteristics to tumor biology phenotypes. In this review, we describe the workflow of CT radiomics, types of CT radiomics, and its clinical application in thoracic oncology. More... »

PAGES

91-98

References to SciGraph publications

  • 2010-12. Role of quantitative CT in predicting postoperative FEV1 and chronic dyspnea in patients undergoing lung resection in MULTIDISCIPLINARY RESPIRATORY MEDICINE
  • 2016-05. Perfusion- and pattern-based quantitative CT indexes using contrast-enhanced dual-energy computed tomography in diffuse interstitial lung disease: relationships with physiologic impairment and prediction of prognosis in EUROPEAN RADIOLOGY
  • 2015-10. Machine Learning methods for Quantitative Radiomic Biomarkers in SCIENTIFIC REPORTS
  • 2012-04. Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival in EUROPEAN RADIOLOGY
  • 2013-03. Quantitative assessment of change in regional disease patterns on serial HRCT of fibrotic interstitial pneumonia with texture-based automated quantification system in EUROPEAN RADIOLOGY
  • 2012-09. Comprehensive genomic characterization of squamous cell lung cancers in NATURE
  • 2016-01. Quantitative CT analysis of pulmonary ground-glass opacity nodules for distinguishing invasive adenocarcinoma from non-invasive or minimally invasive adenocarcinoma: the added value of using iodine mapping in EUROPEAN RADIOLOGY
  • 2014-12. Test–Retest Reproducibility Analysis of Lung CT Image Features in JOURNAL OF DIGITAL IMAGING
  • 2016-11-28. Solid stress and elastic energy as measures of tumour mechanopathology in NATURE BIOMEDICAL ENGINEERING
  • 2014-12. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach in NATURE COMMUNICATIONS
  • 2012-06. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups in NATURE
  • 2014-07-09. Comprehensive molecular profiling of lung adenocarcinoma in NATURE
  • 2015-11. Lung cancer—a fractal viewpoint in NATURE REVIEWS CLINICAL ONCOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s13139-017-0506-5

    DOI

    http://dx.doi.org/10.1007/s13139-017-0506-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1099712679

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/29662557


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