Survival status of children with cerebellar gliomas

Author:

Leviton Alan,Fulchiero Anita,Gilles Floyd H.,Winston Ken

Abstract

✓ The goals of this study were: 1) to determine how well a multivariate analytic procedure shortly after surgery would have classified children with cerebellar glioma according to expected survival status (alive or dead) 5 years later, and 2) to identify histological, clinical, and other features that contributed most to the classification. Fifteen of the 76 (20%) children in this study died before the end of the fifth postoperative year. The linear discriminant function (LDF) constructed with the four histological features of microcysts, high cell density, oligodendroglia, and endothelial proliferation, misclassified outcome in only eight children and discriminated as well as the LDF constructed with 12 additional histological features. The LDF constructed with eight symptoms and 12 signs had a misclassification rate of 9.2%, and was no more successful than the LDF constructed with the single symptom of lethargy. The LDF constructed with all 42 variables misclassified only three children. The variables that contributed most to successful analysis were altered consciousness, microcysts, oligodendroglia, high cell density, endothelial proliferation, and perivascular desmoplasia. Multivariate analysis of histological features, symptoms, and signs appears to classify children with cerebellar glioma according to survival status with an acceptably low error.

Publisher

Journal of Neurosurgery Publishing Group (JNSPG)

Reference13 articles.

1. Afifi AA, Azen SP:Statistical Analysis. A Computer Oriented Approach.New York/London: Academic Press, 1972, pp 235–245

2. Statistical methods for the identification and use of prognostic factors

3. Doubtful Benefits of Tay–Sachs Screening

4. Histologic Features and Observational Variation in Cerebellar Gliomas in Children2

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3