Literature DB >> 10717633

Limitations of the World Health Organization classification of childhood supratentorial astrocytic tumors. Children Brain Tumor Consortium.

F H Gilles1, W D Brown, A Leviton, C J Tavaré, L Adelman, L B Rorke, R L Davis, T E Hedley-Whyte.   

Abstract

BACKGROUND: In the context of many implied but not rigorously stated histologic feature combinations, the World Health Organization (WHO) classification of astrocytic tumors specifies only the presence or absence of endothelial proliferation, necrosis, and mitosis to distinguish astrocytoma, anaplastic astrocytoma, and glioblastoma multiforme.
METHODS: The authors examined the effects of these and other reliably recognized histologic features on survival in the Childhood Brain Tumor Consortium (CBTC) sample of 340 children with supratentorial astrocytic tumors.
RESULTS: Overall, the WHO criteria distinguished only two prognostically distinct classes of astrocytomas. When the specific combinations of the three features were unambiguously designated, three diagnostic categories resulted. These revised diagnostic categories are consistent with WHO guidelines and have significantly different survival distributions. However, neither the original WHO diagnoses nor the revised categories adequately separated these tumors prognostically, because histologic features other than those specified by WHO were significantly associated with improved or worsened survival.
CONCLUSIONS: Classifications based on small numbers of specified histologic features may not be feasible because they inadequately separate childhood astrocytic tumors into prognostically homogeneous groups. Preferable classification techniques are those that simultaneously account for all reliably recognized histologic features. Copyright 2000 American Cancer Society.

Entities:  

Mesh:

Year:  2000        PMID: 10717633

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  17 in total

Review 1.  Paediatric and adult malignant glioma: close relatives or distant cousins?

Authors:  Chris Jones; Lara Perryman; Darren Hargrave
Journal:  Nat Rev Clin Oncol       Date:  2012-05-29       Impact factor: 66.675

2.  MR cerebral blood volume maps correlated with vascular endothelial growth factor expression and tumor grade in nonenhancing gliomas.

Authors:  Antonio C M Maia; Suzana M F Malheiros; Antonio J da Rocha; Carlos J da Silva; Alberto A Gabbai; Fernando A P Ferraz; João N Stávale
Journal:  AJNR Am J Neuroradiol       Date:  2005-04       Impact factor: 3.825

3.  Tumor blood volume: a prognostic biomarker for anaplastic astrocytomas?

Authors:  Daniel Thomas Ginat; Mangla Rajiv
Journal:  CNS Oncol       Date:  2014-03

4.  Regional variation in histopathologic features of tumor specimens from treatment-naive glioblastoma correlates with anatomic and physiologic MR Imaging.

Authors:  Ramon F Barajas; Joanna J Phillips; Rupa Parvataneni; Annette Molinaro; Emma Essock-Burns; Gabriela Bourne; Andrew T Parsa; Manish K Aghi; Michael W McDermott; Mitchel S Berger; Soonmee Cha; Susan M Chang; Sarah J Nelson
Journal:  Neuro Oncol       Date:  2012-06-18       Impact factor: 12.300

5.  Glioblastoma multiforme in children: experience at Hospital Infantil de Mexico Federico Gomez.

Authors:  Federico Sánchez-Herrera; Eduardo Castro-Sierra; Luis Felipe Gordillo-Domínguez; Miguel Angel Vaca-Ruiz; Blanca Santana-Montero; Mario Perezpeña-Diazconti; Vicente González-Carranza; Samuel Torres-García; Fernando Chico-Ponce de León
Journal:  Childs Nerv Syst       Date:  2009-01-16       Impact factor: 1.475

6.  Gliomas: predicting time to progression or survival with cerebral blood volume measurements at dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging.

Authors:  Meng Law; Robert J Young; James S Babb; Nicole Peccerelli; Sophie Chheang; Michael L Gruber; Douglas C Miller; John G Golfinos; David Zagzag; Glyn Johnson
Journal:  Radiology       Date:  2008-03-18       Impact factor: 11.105

7.  Human brain cancer studied by resonance Raman spectroscopy.

Authors:  Yan Zhou; Cheng-Hui Liu; Yi Sun; Yang Pu; Susie Boydston-White; Yulong Liu; Robert R Alfano
Journal:  J Biomed Opt       Date:  2012-11       Impact factor: 3.170

8.  Role of perfusion CT in glioma grading and comparison with conventional MR imaging features.

Authors:  S K Ellika; R Jain; S C Patel; L Scarpace; L R Schultz; J P Rock; T Mikkelsen
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-24       Impact factor: 3.825

9.  Glioblastoma multiforme regional genetic and cellular expression patterns: influence on anatomic and physiologic MR imaging.

Authors:  Ramon F Barajas; J Graeme Hodgson; Jamie S Chang; Scott R Vandenberg; Ru-Fang Yeh; Andrew T Parsa; Michael W McDermott; Mitchel S Berger; William P Dillon; Soonmee Cha
Journal:  Radiology       Date:  2010-02       Impact factor: 11.105

Review 10.  Advanced imaging techniques in brain tumors.

Authors:  Meng Law
Journal:  Cancer Imaging       Date:  2009-10-02       Impact factor: 3.909

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