Glioblastoma Multiforme Regional Genetic and Cellular Expression Patterns: Influence on Anatomic and Physiologic MR Imaging

2010167 citationsJournal Article

Authors

Ramon Barajas · University of California, San Francisco

John Hodgson · University of California, San Francisco

Jamie Chang · University of California, San Francisco

Scott R. VandenBerg · University of California, San Francisco

Ru-Fang Yeh · University of California, San Francisco

Andrew T. Parsa · University of California, San Francisco

Michael W. McDermott

Abstract

These findings suggest MR imaging is significantly influenced by GBM genetic and cellular biologic features of aggressiveness and imply physiologic MR imaging may be useful in pinpointing regions of highest malignancy within heterogeneous tissues, thus facilitating histologic grading of primary glial brain tumors.

Topics & Keywords

Radiomics and Machine Learning in Medical Imaging Glioma Diagnosis and Treatment MRI in cancer diagnosis

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Radiology

Volume 254, Issue 2, pp. 564-576

DOI: 10.1148/radiol.09090663

Field-Weighted Citation Impact: 7.46