Literature DB >> 32284464

[Brain Tumor].

Takashi Komori1.   

Abstract

The World Health Organization's (WHO) classification of the central nervous system tumors represented the primary source of diagnosis and grading criteria for the brain tumors. The revision of the WHO classification in 2016 represented a shift from the traditional principle of using neuropathological diagnoses primarily based on the microscopic features, to using molecularly oriented diagnoses. New entities, defined by both the histological and molecular features, such as isocitrate dehydrogenase mutations and 1p/19q co-deletion, were included. To achieve an accurate diagnosis, the selection of suitable genetic testing methods in addition to having a basic knowledge of neuro-oncology and neuropathology, is essential. This text primarily focuses on the differential diagnosis of diffuse small-cell glioma that aids in understanding a practical method for the diagnosis of diffuse gliomas in adults.

Entities:  

Year:  2020        PMID: 32284464     DOI: 10.11477/mf.1416201538

Source DB:  PubMed          Journal:  Brain Nerve        ISSN: 1881-6096


  2 in total

1.  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

2.  Fuzzy C-Means Algorithm-Based ARM-Linux-Embedded System Combined with Magnetic Resonance Imaging for Progression Prediction of Brain Tumors.

Authors:  Haibo Wang; Tieshi Song; Liying Wang; Lei Yan; Lei Han
Journal:  Comput Math Methods Med       Date:  2022-03-15       Impact factor: 2.238

  2 in total

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