Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors.
作者： Andrea Falini , Antonella Castellano , Francesco Sanvito
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摘要: In recent years, the clinical assessment of primary brain tumors has been increasingly dependent on advanced magnetic resonance imaging (MRI) techniques in order to infer tumor pathophysiological characteristics, such as hemodynamics, metabolism, and microstructure. Quantitative radiomic data extracted from MRI have risen potential vivo noninvasive biomarkers for predicting grades molecular subtypes, opening era "molecular imaging" radiogenomics. This review presents most relevant advancements quantitative neuroimaging techniques, by means radiomics analysis, applied tumors, including lower-grade glioma glioblastoma, with a special focus peculiar oncologic entities current interest. Novel findings diffusion (dMRI), perfusion-weighted (PWI), MR spectroscopy (MRS) are hereby sifted evaluate role neuro-oncology tool profiles, stratifying prognosis, characterizing tissue microenvironments. Furthermore, innovative technological approaches briefly addressed, artificial intelligence contributions ultra-high-field new techniques. Lastly, after providing an overview advancements, we illustrate applications future perspectives.
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