Literature DB >> 28667395

[Intra-axial brain tumors in adults : On the basis of the 2016 WHO classification].

N Peitgen1, P Papanagiotou2.   

Abstract

CLINICAL/METHODICAL ISSUE: The influence of the World Health Organization (WHO) classification from 2016 on the radiological diagnosis for tumors of the central nervous system (CNS) in adults. STANDARD RADIOLOGICAL
METHODS: Computed tomography (CT), magnetic resonance imaging (MRI) and MR spectroscopy. PRACTICAL RECOMMENDATIONS: In order to come as close as possible to the correct diagnosis of CNS tumors, MRI is the long-standing accepted method of choice that can in some cases be supported by the use of CT to demonstrate calcification or bone destruction. In individual cases MRI spectroscopy can be helpful for the differentiation between neoplasms and inflammatory lesions or surveillance of tumor therapy, just as perfusion, which is not discussed in this article.

Entities:  

Keywords:  Central nervous system neoplasms; Computed tomography; MR spectroscopy; Magnetic resonance imaging; Radiological diagnosis

Mesh:

Year:  2017        PMID: 28667395     DOI: 10.1007/s00117-017-0271-6

Source DB:  PubMed          Journal:  Radiologe        ISSN: 0033-832X            Impact factor:   0.635


  7 in total

1.  Intracranial oligodendrogliomas: imaging findings in 35 untreated cases.

Authors:  Y Y Lee; P Van Tassel
Journal:  AJR Am J Roentgenol       Date:  1989-02       Impact factor: 3.959

Review 2.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Authors:  David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison
Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

3.  Epidemiology of primary CNS lymphoma.

Authors:  M Schabet
Journal:  J Neurooncol       Date:  1999-07       Impact factor: 4.130

4.  Clinical features of primary brain tumours: a case-control study using electronic primary care records.

Authors:  William Hamilton; David Kernick
Journal:  Br J Gen Pract       Date:  2007-09       Impact factor: 5.386

5.  Glioblastoma cells release factors that disrupt blood-brain barrier features.

Authors:  Stefan W Schneider; Thomas Ludwig; Lars Tatenhorst; Stephan Braune; Hans Oberleithner; Volker Senner; Werner Paulus
Journal:  Acta Neuropathol       Date:  2004-01-17       Impact factor: 17.088

Review 6.  [MR spectroscopy in brain tumors].

Authors:  P Papanagiotou; M Backens; I Q Grunwald; G Farmakis; M Politi; C Roth; W Reith
Journal:  Radiologe       Date:  2007-06       Impact factor: 0.635

7.  Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging.

Authors:  Meng Law; Stanley Yang; Hao Wang; James S Babb; Glyn Johnson; Soonmee Cha; Edmond A Knopp; David Zagzag
Journal:  AJNR Am J Neuroradiol       Date:  2003 Nov-Dec       Impact factor: 3.825

  7 in total

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