Publication Type | Review |
Authors | Chiang G, Kovanlikaya I, Choi C, Ramakrishna R, Magge R, Shungu D |
Journal | Front Neurol |
Volume | 9 |
Pagination | 33 |
Date Published | 02/05/2018 |
ISSN | 1664-2295 |
Abstract | Advances in metabolic imaging techniques have allowed for more precise characterization of gliomas, particularly as it relates to tumor recurrence or pseudoprogression. Furthermore, the emerging field of radiogenomics where radiographic features are systemically correlated with molecular markers has the potential to achieve the holy grail of neuro-oncologic neuro-radiology, namely molecular diagnosis without requiring tissue specimens. In this section, we will review the utility of metabolic imaging and discuss the current state of the art related to the radiogenomics of glioblastoma. |
DOI | 10.3389/fneur.2018.00033 |
PubMed ID | 29459844 |
PubMed Central ID | PMC5807339 |