Literature DB >> 1316572

Grading of brain tumours. The British experience.

R O Weller1.   

Abstract

In order to ascertain how widely the Kernohan and WHO numerical grading systems for brain tumours are used in Britain and how uniformly they are applied, a questionnaire was circulated to named neuropathologists in 19 Regional Neuropathology Centres in Britain. Eighty four per cent replied within 10 days. Their replies showed considerable variation in the use of grading systems and revealed that numerical grading was required mainly by clinicians and was not necessarily favoured by pathologists. Although some advantages of a grading system were advanced, it does seem that numerical grading of brain tumours is ill-defined and controversial. Furthermore, the use of historical grading systems may inhibit the incorporation of advances in pathological investigation into the clinical management of patients with brain tumours.

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Year:  1992        PMID: 1316572     DOI: 10.1007/bf02352059

Source DB:  PubMed          Journal:  Neurosurg Rev        ISSN: 0344-5607            Impact factor:   3.042


  6 in total

1.  Inaugural Dorothy S. Russell memorial lecture. Immunohistochemical signposts--not markers--in neural tumour differentiation.

Authors:  L J Rubinstein
Journal:  Neuropathol Appl Neurobiol       Date:  1986 Nov-Dec       Impact factor: 8.090

2.  Cell cycle analysis of a cell proliferation-associated human nuclear antigen defined by the monoclonal antibody Ki-67.

Authors:  J Gerdes; H Lemke; H Baisch; H H Wacker; U Schwab; H Stein
Journal:  J Immunol       Date:  1984-10       Impact factor: 5.422

3.  Cell proliferation patterns in the diagnosis of astrocytomas, anaplastic astrocytomas and glioblastoma multiforme: a Ki-67 study.

Authors:  R Raghavan; P V Steart; R O Weller
Journal:  Neuropathol Appl Neurobiol       Date:  1990-04       Impact factor: 8.090

4.  The cerebellar medulloblastoma and its relationship to primitive neuroectodermal tumors.

Authors:  L B Rorke
Journal:  J Neuropathol Exp Neurol       Date:  1983-01       Impact factor: 3.685

5.  Oligodendroglioma. Histologic evaluation and prognosis.

Authors:  S J Mørk; T B Halvorsen; K F Lindegaard; G E Eide
Journal:  J Neuropathol Exp Neurol       Date:  1986-01       Impact factor: 3.685

6.  Glioblastoma multiforme and anaplastic astrocytoma. Pathologic criteria and prognostic implications.

Authors:  P C Burger; F S Vogel; S B Green; T A Strike
Journal:  Cancer       Date:  1985-09-01       Impact factor: 6.860

  6 in total
  1 in total

1.  Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks.

Authors:  Mehmet Günhan Ertosun; Daniel L Rubin
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05
  1 in total

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