CT Radiomics in Thoracic Oncology: Technique and Clinical Applications

  • Lee, Geewon
  • Bak, So-hyeon
  • Lee, Ho-yun
Citations

SCOPUS

30

초록

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. © 2017, Korean Society of Nuclear Medicine.

키워드

BiomarkersComputed tomographyImage processingLung cancer
제목
CT Radiomics in Thoracic Oncology: Technique and Clinical Applications
저자
Lee, GeewonBak, So-hyeonLee, Ho-yun
DOI
10.1007/s13139-017-0506-5
발행일
2018
유형
Review
저널명
Nuclear Medicine and Molecular Imaging
52
2
페이지
91 ~ 98