Serio G, Caniglia A, Ferri C, Caniglia D M, Lettini T, Carlucci M, D'Aprile M, Cimmino A, Serio R, Ricco R
Institute of Pathological Anatomy, University of Bari.
Boll Soc Ital Biol Sper. 1996 May-Jun;72(5-6):147-53.
Meningiomas are the most common neoplasms of the central nervous system and their biological behavior is not always predictable from the histologic appearance of the tumors. The nuclear pleomorphism seems to be one of the most important morphological features in the prediction of recurrence. By using analytical morphometric methods it is possible to quantify nuclear atypias and to obtain parameters describing nuclear contour irregularities and distortions of the figure. Moreover the amount of information obtained from analytical procedure allowed to discriminate, by multivariate discriminant analysis recurrent or no-recurrent meningiomas (5% of error).
脑膜瘤是中枢神经系统最常见的肿瘤，其生物学行为并不总是能从肿瘤的组织学表现来预测。核异型性似乎是预测复发的最重要形态学特征之一。通过使用分析形态计量学方法，可以量化核异型性，并获得描述核轮廓不规则和图形扭曲的参数。此外，从分析程序获得的信息量允许通过多变量判别分析来区分复发性或非复发性脑膜瘤（误差为5%）。
