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预测颅内脑膜瘤的复发。一种多变量临床病理模型——纽约大学医学中心脑膜瘤项目中期报告

Predicting recurrence of intracranial meningiomas. A multivariate clinicopathologic model--interim report of the New York University Medical Center Meningioma Project.

作者信息

Miller D C

机构信息

New York University School of Medicine and Medical Center, New York.

出版信息

Neurosurg Clin N Am. 1994 Apr;5(2):193-200.

PMID:8032222
Abstract

A series of 105 primary intracranial meningiomas, a subset of a larger project on over 800 such tumors, was assessed for clinical and histopathologic factors that might be predictive of recurrence. Predicting recurrence of meningiomas after a surgical resection and the criteria for and clinical importance of a diagnosis of "malignant" meningiomas are controversial issues. Using a multivariate logistic regression analysis, the data from these 105 patients suggest that the single most powerful predictor of recurrence within 5 years after tumor resection is the mitotic index of the tumor. The other powerful factor for predicting recurrence was the extent of resection. Other factors traditionally associated with recurrence or a diagnosis of malignancy were not significant factors for predicting recurrence according to this study.

摘要

在一项针对800多例此类肿瘤的更大规模项目中,选取了105例原发性颅内脑膜瘤进行评估,以确定可能预测复发的临床和组织病理学因素。预测手术切除后脑膜瘤的复发以及“恶性”脑膜瘤诊断的标准和临床重要性是有争议的问题。通过多变量逻辑回归分析,这105例患者的数据表明,肿瘤切除后5年内复发的最有力单一预测指标是肿瘤的有丝分裂指数。另一个预测复发的重要因素是切除范围。根据本研究,其他传统上与复发或恶性诊断相关的因素并非预测复发的显著因素。

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