Advanced Imaging and Computational Techniques for the Diagnostic and Prognostic Assessment of Malignant Gliomas. Issue 5 (September 2021)

• Record Type: Journal Article
• Authors: Bapuraj, Jayapalli Rajiv; Wang, Nicholas; Srinivasan, Ashok; Rao, Arvind
• Is Part Of: Cancer journal. Volume 27:Issue 5(2021)
• Page Start: 344
• Page End: 352
• Publication Date: 2021-09
• Subjects: Advanced imaging -- glioblastomas -- gliomas -- high-grade gliomas -- MRI -- radiogenomics -- radiomics -- tumoral heterogeneity; Cancer -- Periodicals; 616.994005
• DOI: 10.1097/PPO.0000000000000545
• Languages: English
• ISSNs: 1528-9117

Abstract

Abstract: Advanced imaging techniques provide a powerful tool to assess the intratumoral and intertumoral heterogeneity of gliomas. Advances in the molecular understanding of glioma subgroups may allow improved diagnostic assessment combining imaging and molecular tumor features, with enhanced prognostic utility and implications for patient treatment. In this article, a comprehensive overview of the physiologic basis for conventional and advanced imaging techniques is presented, and clinical applications before and after treatment are discussed. An introduction to the principles of radiomics and the advanced integration of imaging, clinical outcomes, and genomic data highlights the future potential for this field of research to better stratify and select patients for standard as well as investigational therapies.