Suppr超能文献

颌骨巨细胞病变中银染核仁组成区的定量分析。

Quantitative analysis of argyrophilic nuclear organizer regions in giant cell lesions of jaws.

机构信息

Oral and Maxillofacial Pathology Department, Islamic Azad University Dental School, Tehran, Iran.

出版信息

J Oral Pathol Med. 2010 May;39(5):431-4. doi: 10.1111/j.1600-0714.2009.00872.x. Epub 2010 Feb 24.

Abstract

BACKGROUND

Giant cell lesions of the jaws are considerably similar according to histopathologic characteristics yet show different clinical behaviors. These lesions include central giant cell granuloma (CGCG), aneurysmal bone cyst, Cherubism, and Brown tumor associated with hyperparathyroidism. The present study aimed to investigate AgNORs count in these lesions as a proliferative marker and to determine whether it can be used to discriminate between them or not.

METHODS

Forty-one cases of giant cell lesions of jaws were retrived from Oral Pathology Department (1987-2007). They included 21 cases of CGCG, eight cases of aneurysmal bone cyst (ABC), six cases of Cherubism, six cases of Brown tumor. The mean AgNORs count was calculated for all cases. To compare mean AgNORs in groups of lesions, ANOVA test was performed.

RESULTS

Mean AgNOR counts were: (0/85 +/- 0/29) in CGCG, (0/76 +/- 0/32) in ABC (0/87 +/- 0/10) in Cherubism and (0/82 +/- 0/16) in Brown tumor. A significant difference was not observed in AgNOR counts among these groups of lesions.

CONCLUSIONS

Jaws giant cell containing lesions have no acceptable differences in mean AgNORs.

摘要

背景

根据组织病理学特征,颌骨巨细胞病变非常相似,但表现出不同的临床行为。这些病变包括中央性巨细胞肉芽肿(CGCG)、动脉瘤样骨囊肿、 cherubism 和与甲状旁腺功能亢进相关的棕色瘤。本研究旨在探讨 AgNORs 在这些病变中的计数作为增殖标志物,并确定其是否可以用于区分它们。

方法

从口腔病理学系(1987-2007 年)中检索了 41 例颌骨巨细胞病变病例。其中包括 21 例 CGCG、8 例动脉瘤样骨囊肿(ABC)、6 例 cherubism 和 6 例棕色瘤。计算了所有病例的平均 AgNORs 计数。为了比较病变组之间的平均 AgNORs,进行了方差分析。

结果

CGCG 的平均 AgNOR 计数为(0/85 +/- 0/29),ABC 的平均 AgNOR 计数为(0/76 +/- 0/32),cherubism 的平均 AgNOR 计数为(0/87 +/- 0/10),棕色瘤的平均 AgNOR 计数为(0/82 +/- 0/16)。这些病变组之间的 AgNOR 计数没有显著差异。

结论

颌骨含巨细胞病变之间的平均 AgNORs 没有可接受的差异。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验