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

Korean J Radiol. 2020 Feb;21(2):159-171. doi: 10.3348/kjr.2019.0630.

Abstract

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.

Keywords: Biomarkers; Image processing; Lung cancer.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Genomics
  • Humans
  • Image Processing, Computer-Assisted
  • Lung Neoplasms / diagnostic imaging*
  • Lung Neoplasms / genetics
  • Lung Neoplasms / pathology
  • Lymph Nodes / diagnostic imaging
  • Lymphatic Metastasis
  • Positron-Emission Tomography
  • Prognosis
  • Tomography, X-Ray Computed*