Receive a weekly summary and discussion of the top papers of the week by leading researchers in the field.

In Neurosurgical review ; h5-index 27.0

Although imaging of gliomas has evolved tremendously over the last decades, published techniques and protocols are not always implemented into clinical practice. Furthermore, most of the published literature focuses on specific timepoints in glioma management. This article reviews the current literature on conventional and advanced imaging techniques and chronologically outlines their practical relevance for the clinical management of gliomas throughout the cycle of care. Relevant articles were located through the Pubmed/Medline database and included in this review. Interpretation of conventional and advanced imaging techniques is crucial along the entire process of glioma care, from diagnosis to follow-up. In addition to the described currently existing techniques, we expect deep learning or machine learning approaches to assist each step of glioma management through tumor segmentation, radiogenomics, prognostication, and characterization of pseudoprogression. Thorough knowledge of the specific performance, possibilities, and limitations of each imaging modality is key for their adequate use in glioma management.

Reuter Gilles, Moïse Martin, Roll Wolfgang, Martin Didier, Lombard Arnaud, Scholtes Félix, Stummer Walter, Molina Eric Suero

2021-Jan-07

Diffusion magnetic resonance imaging, Glioblastoma, High-grade gliomas, Magnetic resonance Imaging, Positron emission tomography