Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current Standpoint in Neuro-oncologic Studies
10.1007/s13139-017-0512-7
- Author:
Ji Eun PARK
1
;
Ho Sung KIM
Author Information
1. Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea. radhskim@gmail.com
- Publication Type:Review
- Keywords:
Radiomics;
High-dimensional;
Imaging;
Modeling;
Neuro-oncology;
Magnetic resonance
- MeSH:
Population Characteristics;
Precision Medicine
- From:Nuclear Medicine and Molecular Imaging
2018;52(2):99-108
- CountryRepublic of Korea
- Language:English
-
Abstract:
Radiomics utilizes high-dimensional imaging data to discover the association with diagnostic, prognostic, predictive endpoint or radiogenomics. It is an emerging field of study that potentially depicts the intratumoral heterogeneity from quantitative and classified high-throughput data. The radiomics approach has an analytic pipeline where the imaging features are extracted, processed and analyzed. At this point, special data handling is essential because it faces issues of a high-dimensional biomarker compared to a single biomarker approach. This article describes the potential role of radiomics in oncologic studies, the basic analytic pipeline and special data handling with high-dimensional data to facilitate the radiomics approach as a tool for personalized medicine in oncology.
