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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Quantitative analysis of the epithelial lining architecture in radicular cysts and odontogenic keratocysts | Head Face Medicine BioMed Central Research Open Access Quantitative analysis of the epithelial lining architecture in radicular cysts and odontogenic keratocysts Gabriel Landini Address Oral Pathology Unit. School of Dentistry The University of Birmingham St. Chad s Queensway Birmingham B4 6NN UK Email Gabriel Landini - G.Landini@bham.ac.uk Corresponding author Published 17 February 2006 Head Face Medicine 2006 2 4 doi 10.1186 1746-I60X-2-4 Received 01 November 2005 Accepted 17 February 2006 This article is available from http www.head-face-med.cOm content 2 1 4 2006 Landini licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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 .