Logistic regression analysis of small round cell neoplasms: A cytologic study

作     者：Layfield, LJ Liu, K Dodge, RK 

作者机构：Univ Utah Hlth Sci Ctr Dept Pathol Salt Lake City UT 84132 USA 

出 版 物：《DIAGNOSTIC CYTOPATHOLOGY》 (诊断细胞病理学)

年 卷 期：1999年第20卷第5期

页      面：271-277页

核心收录：

学科分类：1001[医学-基础医学(可授医学、理学学位)] 1010[医学-医学技术（可授医学、理学学位）] 10[医学] 

主　　题：small round cell neoplasms FNA logistic regression analysis 

摘      要：The diagnosis of small round cell neoplasms (SRCN) in children is difficult by both histologic and cytologic methods. These neoplasms are unified morphologically by the scanty cytoplasm surrounding relatively round nuclei containing a primitive chromatin pattern. Further categorization is achieved histologically by the recognition of architectural differentiation and cytoplasmic features. Numerous series and case reports documenting the cytologic features of SRCN have been published in the English-language literature, bur relatively few studies have statistically analyzed the diagnostic utility of these features. Our logistic regression analysis of 59 cases of SRCN indicates that the presence of an extremely scanty cytoplasm Savors the diagnosis of Ewing s sarcoma (P = 0.004), as does the positive expression of cytoplasmic vacuoles (P = 0.02). Strap or tadpole cells closely correlate with the diagnosis of rhabdomyosarcoma (P 0.001). The positive expression of rosettes strongly supports the presence of a neuroblastoma (P 0.001). The diagnosis of Wilms tumor is confirmed by the expression of tubules (P 0.001). The presence of lymphoglandular bodies strongly favors the diagnosis of lymphoma (P 0.001). While some cytologic features ave highly correlated with specific SRCN, these features are not invariably present, and definitive diagnosis may require immunohistochemical or ultrastructural analysis performed on cell block material. Diagn. Cytopathol. 1999;20:271-277. (C) 1999 Wiley-Liss, Inc.