| Literature DB >> 27742112 |
Aikaterini Kotrotsou1, Pascal O Zinn2, Rivka R Colen3.
Abstract
The role of radiomics in the diagnosis, monitoring, and therapy planning of brain tumors is becoming increasingly clear. Incorporation of quantitative approaches in radiology, in combination with increased computer power, offers unique insights into macroscopic tumor characteristics and their direct association with the underlying pathophysiology. This article presents the most recent findings in radiomics and radiogenomics with respect to identifying potential imaging biomarkers with prognostic value that can lead to individualized therapy. In addition, a brief introduction to the concept of big data and its significance in medicine is presented.Entities:
Keywords: Big data; Brain tumors; Radiogenomics; Radiomics; Texture analysis
Mesh:
Year: 2016 PMID: 27742112 DOI: 10.1016/j.mric.2016.06.006
Source DB: PubMed Journal: Magn Reson Imaging Clin N Am ISSN: 1064-9689 Impact factor: 2.266