title: Radiomics in Brain Tumors: An Emerging Technique for Characterization of Tumor Environment.
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.
authors.affiliation: Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA.
authors.forename: Aikaterini
authors.initials: A
authors.lastname: Kotrotsou
authors.affiliation: Department of Neurosurgery, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA.
authors.forename: Pascal O
authors.initials: PO
authors.lastname: Zinn
authors.affiliation: Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA. Electronic address: rcolen@mdanderson.org.
authors.forename: Rivka R
authors.initials: RR
authors.lastname: Colen
mesh_terms: D001921:Brain / Q000000981:diagnostic imaging; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging / Q000235:genetics*; D023281:Genomics / Q000379:methods*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*
keywords: Big data; Brain tumors; Radiogenomics; Radiomics; Texture analysis