Literature DB >> 32271284

Adult Glioma WHO Classification Update, Genomics, and Imaging: What the Radiologists Need to Know.

James Bai1, Jerrin Varghese1, Rajan Jain1,2.   

Abstract

Recent advances in the understanding of the genetic makeup of gliomas have led to a paradigm shift in the diagnosis and classification of these tumors. Driven by these changes, the World Health Organization (WHO) introduced an update to its classification system of central nervous system (CNS) tumors in 2016. The updated glioma classification system incorporates molecular markers into tumor subgrouping, which has been shown to better correlate with tumor biology and behavior as well as patient prognosis than the previous purely histology-based classification system. Familiarity with this new classification scheme, the individual molecular markers, and corresponding imaging findings is critical for the radiologists who play an important role in diagnostic and surveillance imaging of patients with CNS tumors. The goals of this article are to review these updates to the WHO classification of CNS tumors with a focus on adult gliomas, provide an overview of key genomic markers of gliomas, and review imaging features pertaining to various genomic subgroups of adult gliomas.

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Year:  2020        PMID: 32271284     DOI: 10.1097/RMR.0000000000000234

Source DB:  PubMed          Journal:  Top Magn Reson Imaging        ISSN: 0899-3459


  15 in total

Review 1.  Adult diffuse midline gliomas H3 K27-altered: review of a redefined entity.

Authors:  Carlos Axel López-Pérez; Xochitl Franco-Mojica; Ricardo Villanueva-Gaona; Alexandra Díaz-Alba; Marco Antonio Rodríguez-Florido; Victor Garcia Navarro
Journal:  J Neurooncol       Date:  2022-05-14       Impact factor: 4.130

Review 2.  Surgical Neuro-Oncology: Management of Glioma.

Authors:  Dana Mitchell; Jack M Shireman; Mahua Dey
Journal:  Neurol Clin       Date:  2022-03-31       Impact factor: 3.787

Review 3.  Dialogue among Lymphocytes and Microglia in Glioblastoma Microenvironment.

Authors:  Alessandro Mormino; Stefano Garofalo
Journal:  Cancers (Basel)       Date:  2022-05-26       Impact factor: 6.575

Review 4.  Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors.

Authors:  Francesco Sanvito; Antonella Castellano; Andrea Falini
Journal:  Cancers (Basel)       Date:  2021-01-23       Impact factor: 6.639

5.  GASC1 promotes glioma progression by enhancing NOTCH1 signaling.

Authors:  Zhengzheng Xiao; Xiaoli Yang; Zebin Liu; Zheng Shao; Chaojun Song; Kun Zhang; Xiaobin Wang; Zhengwei Li
Journal:  Mol Med Rep       Date:  2021-03-02       Impact factor: 2.952

6.  Artificial Intelligence Algorithm-Based Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) in the Treatment of Glioma Biopsy.

Authors:  Wei Wei; Liujia Ma; Liying Yang; Rong Lu; Cong Xi
Journal:  Contrast Media Mol Imaging       Date:  2022-03-23       Impact factor: 3.161

7.  Characterization of the Immune Cell Infiltration Landscape and a New Prognostic Score in Glioblastoma.

Authors:  Jian Wang; Shumei Chi
Journal:  J Healthc Eng       Date:  2022-03-09       Impact factor: 2.682

8.  Matrix Remodeling-Associated Protein 8 as a Novel Indicator Contributing to Glioma Immune Response by Regulating Ferroptosis.

Authors:  Zhijie Xu; Xi Chen; Liying Song; Fang Yuan; Yuanliang Yan
Journal:  Front Immunol       Date:  2022-02-24       Impact factor: 7.561

9.  Comprehensive analysis of histone deacetylases genes in the prognosis and immune infiltration of glioma patients.

Authors:  Lin Shen; Yanyan Li; Na Li; Liangfang Shen; Zhanzhan Li
Journal:  Aging (Albany NY)       Date:  2022-05-11       Impact factor: 5.955

10.  Exploration of CT Images Based on the BN-U-net-W Network Segmentation Algorithm in Glioma Surgery.

Authors:  Yongmei Yu; Zhaofeng Du; Changxin Yuan; Jian Li
Journal:  Contrast Media Mol Imaging       Date:  2022-04-11       Impact factor: 3.009

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