… has the potential to transform radiology. Though quantitative image analysis existed before
… a small amount of manually processed imaging features. By contrast, radiomics remolds the …

… While there have been significant advances in neuro-oncology imaging, there remain …
postsurgical cavity and tumors themselves of neuro-oncology patients tend to be highly irregular in …

… In neuro-oncology, RECIST has limited use as the unidimensional measurements do not
accurately measure the irregular or asymmetric margins of glioblastoma; besides, it did not take …

… advancements in quantitative neuroimaging of … imaging (PWI), and MR spectroscopy (MRS)
are hereby sifted in order to evaluate the role of quantitative imaging in neuro-oncology as a …

… indications in neuro-oncology, for example, to noninvasively predict relevant biomarkers in
… • Radiomics allows extraction of quantitative imaging parameters from routine imaging data. …

… of neuro-oncology, where PET imaging cannot only serve as a sensitive diagnostic tool for
noninvasive studies of tumor characteristics at multiple sites over time but also as an in vivo …

… power to build neuro-oncology monitoring biomarker models, … to make neuro-oncology
monitoring biomarker models does … radiomic studies to neuro-oncology imaging reflects a recent …

… One example of a potential imaging biomarker for use in GBM immunotherapy comes from
the CAR T cell literature. In the IL-13 Rα2 CAR T-cell trial, incorporation of positron emission …

… In this review article, we describe the multi-omics analysis in the field of neuro-oncology,
focusing on the main output and input data. Although the research on neuro-oncology is …

… imaging biomarker in IDH-mutant tumors. Other imaging modalities, including proton MRS,
thallium MRS, and functional diffusion mapping, are under investigation. Development of …