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根端囊肿和牙源性角化囊肿上皮衬里结构的定量分析

Quantitative analysis of the epithelial lining architecture in radicular cysts and odontogenic keratocysts.

作者信息

Landini Gabriel

机构信息

Oral Pathology Unit, School of Dentistry, The University of Birmingham, Birmingham, UK.

出版信息

Head Face Med. 2006 Feb 17;2:4. doi: 10.1186/1746-160X-2-4.

Abstract

BACKGROUND

This paper describes a quantitative analysis of the cyst lining architecture in radicular cysts (of inflammatory aetiology) and odontogenic keratocysts (thought to be developmental or neoplastic) including its 2 counterparts: solitary and associated with the Basal Cell Naevus Syndrome (BCNS).

METHODS

Epithelial linings from 150 images (from 9 radicular cysts, 13 solitary keratocysts and 8 BCNS keratocysts) were segmented into theoretical cells using a semi-automated partition based on the intensity of the haematoxylin stain which defined exclusive areas relative to each detected nucleus. Various morphometrical parameters were extracted from these "cells" and epithelial layer membership was computed using a systematic clustering routine.

RESULTS

Statistically significant differences were observed across the 3 cyst types both at the morphological and architectural levels of the lining. Case-wise discrimination between radicular cysts and keratocyst was highly accurate (with an error of just 3.3%). However, the odontogenic keratocyst subtypes could not be reliably separated into the original classes, achieving discrimination rates slightly above random allocations (60%).

CONCLUSION

The methodology presented is able to provide new measures of epithelial architecture and may help to characterise and compare tissue spatial organisation as well as provide useful procedures for automating certain aspects of histopathological diagnosis.

摘要

背景

本文描述了对根端囊肿(炎症性病因)和牙源性角化囊肿(被认为是发育性或肿瘤性)的囊肿衬里结构进行定量分析,包括其两种对应类型:孤立性和与基底细胞痣综合征(BCNS)相关的。

方法

使用基于苏木精染色强度的半自动分割方法,将来自150张图像(9个根端囊肿、13个孤立性角化囊肿和8个BCNS角化囊肿)的上皮衬里分割成理论细胞,该方法根据每个检测到的细胞核定义了专属区域。从这些“细胞”中提取各种形态计量学参数,并使用系统聚类程序计算上皮层成员资格。

结果

在衬里的形态和结构水平上,观察到三种囊肿类型之间存在统计学上的显著差异。根端囊肿和角化囊肿之间的逐例鉴别准确率很高(误差仅为3.3%)。然而,牙源性角化囊肿亚型无法可靠地分为原始类别,鉴别率略高于随机分配(60%)。

结论

所提出的方法能够提供上皮结构的新测量方法,可能有助于表征和比较组织空间组织,并为组织病理学诊断的某些方面自动化提供有用的程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe4c/1386655/0022c5408a7c/1746-160X-2-4-1.jpg

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