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Cancer ; 88(6): 1477-83, 2000 Mar 15.
Article in English | MEDLINE | ID: mdl-10717633

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.


Subject(s)
Astrocytoma/classification , Supratentorial Neoplasms/classification , World Health Organization , Adolescent , Adult , Astrocytoma/pathology , Capillaries/pathology , Cell Division , Child , Child, Preschool , Cytoplasm/ultrastructure , Endothelium, Vascular/pathology , Feasibility Studies , Glioblastoma/classification , Glioblastoma/pathology , Guidelines as Topic , Humans , Infant , Linear Models , Mitosis , Necrosis , Prognosis , Proportional Hazards Models , Reproducibility of Results , Supratentorial Neoplasms/pathology , Survival Analysis , Survival Rate
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