Radiomics in Lung Cancer from Basic to Advanced: Current Status and Future Directions

  • Lee, Geewon
  • Park, Hyunjin
  • Bak, So Hyeon
  • Lee, Ho Yun
Citations

WEB OF SCIENCE

46
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54

초록

Ideally, radiomics features and radiomics signatures can be used as imaging biomarkers for diagnosis, staging, prognosis, and prediction of tumor response. Thus, the number of published radiomics studies is increasing exponentially, leading to a myriad of new radiomics-based evidence for lung cancer. Consequently, it is challenging for radiologists to keep up with the development of radiomics features and their clinical applications. In this article, we review the basics to advanced radiomics in lung cancer to guide young researchers who are eager to start exploring radiomics investigations. In addition, we also include technical issues of radiomics, because knowledge of the technical aspects of radiomics supports a well-informed interpretation of the use of radiomics in lung cancer.

키워드

Lung cancerBiomarkersImage processingLYMPH-NODE METASTASISCOMPUTED-TOMOGRAPHYQUANTITATIVE CTTUMOR HETEROGENEITYAUTOMATED QUANTIFICATIONTEXTURE ANALYSISF-18-FDG UPTAKEFEATURESPREDICTIONSEGMENTATION
제목
Radiomics in Lung Cancer from Basic to Advanced: Current Status and Future Directions
저자
Lee, GeewonPark, HyunjinBak, So HyeonLee, Ho Yun
DOI
10.3348/kjr.2019.0630
발행일
2020-02
유형
Review
저널명
Korean Journal of Radiology
21
2
페이지
159 ~ 171