RT Journal Article
SR Electronic
T1 Evolving Role and Translation of Radiomics and Radiogenomics in Adult and Pediatric Neuro-Oncology
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
DO 10.3174/ajnr.A7297
A1 M. Ak
A1 S.A. Toll
A1 K.Z. Hein
A1 R.R. Colen
A1 S. Khatua
YR 2021
UL http://www.ajnr.org/content/early/2021/10/14/ajnr.A7297.abstract
AB SUMMARY: Exponential technologic advancements in imaging, high-performance computing, and artificial intelligence, in addition to increasing access to vast amounts of diverse data, have revolutionized the role of imaging in medicine. Radiomics is defined as a high-throughput feature-extraction method that unlocks microscale quantitative data hidden within standard-of-care medical imaging. Radiogenomics is defined as the linkage between imaging and genomics information. Multiple radiomics and radiogenomics studies performed on conventional and advanced neuro-oncology image modalities show that they have the potential to differentiate pseudoprogression from true progression, classify tumor subgroups, and predict recurrence, survival, and mutation status with high accuracy. In this article, we outline the technical steps involved in radiomics and radiogenomics analyses with the use of artificial intelligence methods and review current applications in adult and pediatric neuro-oncology.AIartificial intelligenceAUCarea under the curveDLdeep learningGBMglioblastomaMLmachine learningSUVstandardized uptake value