CT Radiomics in Thoracic Oncology: Technique and Clinical Applications / 대한핵의학회잡지
Korean Journal of Nuclear Medicine
;
: 91-98, 2018.
Article
in English
| WPRIM
| ID: wpr-786981
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Phenotype
/
Population Characteristics
/
Biology
/
Biomarkers
/
Precision Medicine
/
Lung Neoplasms
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Journal:
Korean Journal of Nuclear Medicine
Year:
2018
Type:
Article
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